ComfyUI 合作节点价格

下表列出了当前合作节点的价格。所有价格均以积分计算。 211 积分 = 1 美元

实际价格请以 ComfyUI 界面中显示的价格为准

Beeble

Product Name	Configuration	Credits	Category
SwitchX	model: switchx, output_type: video, resolution: 720p	30.17 / 30 frames	Video
SwitchX	model: switchx, output_type: video, resolution: 1080p	90.52 / 30 frames	Video
SwitchX	model: switchx, output_type: image, resolution: 720p	30.17 / run	Image
SwitchX	model: switchx, output_type: image, resolution: 1080p	90.52 / run	Image

BFL

模型	积分	类别
flux-dev	5.28 / run	Image
flux-kontext-max	16.88 / run	Image
flux-kontext-pro	8.44 / run	Image
flux-pro-1.0-canny	10.55 / run	Image
flux-pro-1.0-depth	10.55 / run	Image
flux-pro-1.0-expand	10.55 / run	Image
flux-pro-1.0-fill	10.55 / run	Image
flux-tools/erase-v1	6.33 / run + 0.84 / 额外 MP	Image
flux-tools/vto-v1	7.91 / run + 1.06 / 额外 MP	Image
flux-pro-1.1	8.44 / run	Image
flux-pro-1.1-ultra	12.66 / run	Image
/v1/flux-pro	10.55 / run	Image
flux-2-pro	6.33 / run + 3.17 / 额外 MP	Image
flux-2-max	14.77 / run + 6.33 / 额外 MP	Image

Anthropic

Anthropic 合作节点使用与 Anthropic 公开 API 相同的美元计费逻辑。积分 = 美元 × 211（见页眉说明）。以下 token 价格为每百万 token 定价。缓存定价倍率与 Anthropic prompt caching 文档一致。

Chat (`ClaudeNode`)

以下价格按每百万 token 计算。

模型	输入积分 / 1M	5分钟缓存写入积分 / 1M	1小时缓存写入积分 / 1M	缓存命中积分 / 1M	输出积分 / 1M
`claude-opus-4-7`	1055	1318.75	2110	105.5	5275
`claude-opus-4-6`	1055	1318.75	2110	105.5	5275
`claude-opus-4-5-20251101`	1055	1318.75	2110	105.5	5275
`claude-opus-4-1-20250805`	3165	3956.25	6330	316.5	15825
`claude-sonnet-4-6`	633	791.25	1266	63.3	3165
`claude-sonnet-4-5-20250929`	633	791.25	1266	63.3	3165
`claude-haiku-4-5-20251001`	211	263.75	422	21.1	1055

可选图片按相同的模型输入费率计费。

Bria

产品名称	配置	积分	类别
Bria Image Edit	endpoint: v2/image/edit, model: fibo	8.44 / run	Image
Bria Image Remove Background	endpoint: v2/image/edit/remove_background	3.8 / run	Image
Bria Video Remove Background	endpoint: v2/video/edit/remove_background	0.89 / sec	Video
Bria Video Green Screen	endpoint: v2/video/edit/green_screen	0.89 / sec	Video
Bria Video Replace Background	endpoint: v2/video/edit/replace_background	0.89 / sec	Video
Bria Transparent Video Background	endpoint: v2/video/edit/remove_background	0.89 / sec	Video
Bria Image Edit	endpoint: v2/image/edit, model: fibo-edit	8.44 / run	Image

ByteDance

产品名称	配置	积分	类别
BytePlus Seed Input Text Tokens (Per 1M tokens)	model: seed-2-0-pro-260328	105.5 / 1M tokens	Text
BytePlus Seed Input Text Tokens (Per 1M tokens)	model: seed-2-0-lite-260228	52.75 / 1M tokens	Text
BytePlus Seed Input Text Tokens (Per 1M tokens)	model: seed-2-0-mini-260215	21.1 / 1M tokens	Text
BytePlus Seed Output Text Tokens (Per 1M tokens)	model: seed-2-0-pro-260328	633 / 1M tokens	Text
BytePlus Seed Output Text Tokens (Per 1M tokens)	model: seed-2-0-lite-260228	422 / 1M tokens	Text
BytePlus Seed Output Text Tokens (Per 1M tokens)	model: seed-2-0-mini-260215	84.4 / 1M tokens	Text
BytePlus Seed Cache Hit Input Tokens (Per 1M tokens)	model: seed-2-0-pro-260328	21.1 / 1M tokens	Text
BytePlus Seed Cache Hit Input Tokens (Per 1M tokens)	model: seed-2-0-lite-260228	10.55 / 1M tokens	Text
BytePlus Seed Cache Hit Input Tokens (Per 1M tokens)	model: seed-2-0-mini-260215	4.22 / 1M tokens	Text
BytePlus Image Generation Product	model: seededit-3-0-i2i-250628	6.33 / run	Image
BytePlus Image Generation Product	model: seedream-3-0-t2i-250415	6.33 / run	Image
BytePlus Image Generation Product	model: seedream-4-0-250828	6.33 / run	Image
BytePlus Image Generation Product	model: seedream-4-5-251128	8.44 / run	Image
BytePlus Image Generation Product	model: seedream-5-0-260128	7.39 / run	Image
BytePlus Video Generation Product (Per 1M tokens)	model: seedance-1-0-lite-i2v-250428, video_type: image-to-video	379.8 / 1M tokens	Video
BytePlus Video Generation Product (Per 1M tokens)	model: seedance-1-0-lite-t2v-250428, video_type: text-to-video	379.8 / 1M tokens	Video
BytePlus Video Generation Product (Per 1M tokens)	model: seedance-1-0-pro-250528, video_type: image-to-video	527.5 / 1M tokens	Video
BytePlus Video Generation Product (Per 1M tokens)	model: seedance-1-0-pro-250528, video_type: text-to-video	527.5 / 1M tokens	Video
BytePlus Video Generation Product (Per 1M tokens)	model: seedance-1-0-pro-fast-251015, video_type: image-to-video	211 / 1M tokens	Video
BytePlus Video Generation Product (Per 1M tokens)	model: seedance-1-0-pro-fast-251015, video_type: text-to-video	211 / 1M tokens	Video
BytePlus Video Generation Product (Per 1M tokens)	model: seedream-4-5-251128, video_type: text-to-video	211 / 1M tokens	Video
BytePlus Video Generation With Audio (Per 1M tokens)	generate_audio: false, model: seedance-1-5-pro-251215	253.2 / 1M tokens	Video
BytePlus Video Generation With Audio (Per 1M tokens)	generate_audio: true, model: seedance-1-5-pro-251215	506.4 / 1M tokens	Video
BytePlus Video Generation Product (Per K tokens)	model: dreamina-seedance-2-0, video_type: text-to-video (无视频输入：文本或图片)	2.112 / K tokens	Video
BytePlus Video Generation Product (Per K tokens)	model: dreamina-seedance-2-0, video_type: image-to-video (无视频输入：文本或图片)	2.112 / K tokens	Video
BytePlus Video Generation Product (Per K tokens)	model: dreamina-seedance-2-0, video_type: video-to-video (有视频输入)	1.297 / K tokens	Video
BytePlus Video Generation Product (Per K tokens)	model: dreamina-seedance-2-0-fast, video_type: text-to-video (无视频输入：文本或图片)	1.690 / K tokens	Video
BytePlus Video Generation Product (Per K tokens)	model: dreamina-seedance-2-0-fast, video_type: image-to-video (无视频输入：文本或图片)	1.690 / K tokens	Video
BytePlus Video Generation Product (Per K tokens)	model: dreamina-seedance-2-0-fast, video_type: video-to-video (有视频输入)	0.995 / K tokens	Video

Seedance 2.0 Token 计算方式： 输出 tokens = (输入视频时长 + 输出视频时长) × 输出视频长边像素 × 输出视频短边像素 × 输出帧率 ÷ 1024。输入为文本、图片或音频时，输入时长计为 0。Seedance 2.0 输出帧率固定为 24fps。有视频输入时存在最低 token 用量限制。

ElevenLabs

产品名称	配置	积分	类别
11labs Text-to-Speech	endpoint: v1/text-to-dialogue, model: eleven_v3	50.64 / run	Audio
11labs Text-to-Speech	endpoint: v1/text-to-speech, model: eleven_multilingual_v2	50.64 / run	Audio
11labs Text-to-Speech	endpoint: v1/text-to-speech, model: eleven_v3	50.64 / run	Audio
11labs Speech-to-Text	endpoint: v1/speech-to-text, model: scribe_v2	92.84 / run	Audio
11labs Speech-to-Text Keyterm	endpoint: v1/speech-to-text, model: scribe_v2	18.57 / run	Audio
11labs Speech-to-Text Entity Detection	endpoint: scribe_v2, model: v1/speech-to-text	27.85 / run	Audio
11labs Speech-to-Speech Per Minute	endpoint: v1/speech-to-speech	50.64 / min	Audio
11labs Sound Generation Per Minute	endpoint: v1/sound-generation	29.54 / min	Audio
11labs Audio Isolation Per Minute	endpoint: v1/audio-isolation	50.64 / min	Audio
11labs Add Voice	endpoint: v1/voices/add	31.65 / run	Audio

Freepik

产品名称	配置	积分	类别
Freepik Image Per Generation	endpoint: magnific-relight	23.21 / run	Image
Freepik Image Per Generation	endpoint: magnific-style-transfer	23.21 / run	Image
Freepik Image Per Generation	endpoint: skin-enhancer-creative	61.19 / run	Image
Freepik Image Per Generation	endpoint: skin-enhancer-faithful	78.07 / run	Image
Freepik Image Per Generation	endpoint: skin-enhancer-flexible	94.95 / run	Image
Freepik Image Cost	NA	211 / run	Image

Google

产品名称	配置	积分	类别
prod-v1-Veo 2 Product	model: veo-2.0-generate-001	105.5 / run	Image
prod-v1-Veo 2 Product	model: veo-3.0-generate-preview	158.25 / run	Image
Gemini Input Text Tokens (per 1M) Product	model: gemini-2.5-flash-image	63.3 / 1M tokens	Text
Gemini Input Text Tokens (per 1M) Product	model: gemini-2.5-flash-image-preview	63.3 / 1M tokens	Text
Gemini Input Text Tokens (per 1M) Product	model: gemini-2.5-flash	63.3 / 1M tokens	Text
Gemini Input Text Tokens (per 1M) Product	model: gemini-2.5-flash-preview-04-17	63.3 / 1M tokens	Text
Gemini Input Text Tokens (per 1M) Product	model: gemini-2.5-pro	263.75 / 1M tokens	Text
Gemini Input Text Tokens (per 1M) Product	model: gemini-2.5-pro-preview-05-06	263.75 / 1M tokens	Text
Gemini Input Text Tokens (per 1M) Product	model: gemini-3.1-flash-image-preview	105.5 / 1M tokens	Text
Gemini Input Text Tokens (per 1M) Product	model: gemini-3.1-pro-preview	422 / 1M tokens	Text
Gemini Input Text Tokens (per 1M) Product	model: gemini-3-pro-image-preview	422 / 1M tokens	Text
Gemini Input Text Tokens (per 1M) Product	model: gemini-3-pro-preview	422 / 1M tokens	Text
Gemini Output Text Tokens (per 1M) Product	model: gemini-2.5-flash-image	527.5 / 1M tokens	Text
Gemini Output Text Tokens (per 1M) Product	model: gemini-2.5-flash-image-preview	527.5 / 1M tokens	Text
Gemini Output Text Tokens (per 1M) Product	model: gemini-2.5-flash	527.5 / 1M tokens	Text
Gemini Output Text Tokens (per 1M) Product	model: gemini-2.5-flash-preview-04-17	527.5 / 1M tokens	Text
Gemini Output Text Tokens (per 1M) Product	model: gemini-2.5-pro	2110 / 1M tokens	Text
Gemini Output Text Tokens (per 1M) Product	model: gemini-2.5-pro-preview-05-06	2110 / 1M tokens	Text
Gemini Output Text Tokens (per 1M) Product	model: gemini-3.1-flash-image-preview	633 / 1M tokens	Text
Gemini Output Text Tokens (per 1M) Product	model: gemini-3.1-pro-preview	2532 / 1M tokens	Text
Gemini Output Text Tokens (per 1M) Product	model: gemini-3-pro-image-preview	2532 / 1M tokens	Text
Gemini Output Text Tokens (per 1M) Product	model: gemini-3-pro-preview	2532 / 1M tokens	Text
Gemini Input Image Tokens (per 1M) Product	model: gemini-2.5-flash-image	63.3 / 1M tokens	Image
Gemini Input Image Tokens (per 1M) Product	model: gemini-2.5-flash-image-preview	63.3 / 1M tokens	Image
Gemini Input Image Tokens (per 1M) Product	model: gemini-2.5-flash	63.3 / 1M tokens	Image
Gemini Input Image Tokens (per 1M) Product	model: gemini-2.5-flash-preview-04-17	63.3 / 1M tokens	Image
Gemini Input Image Tokens (per 1M) Product	model: gemini-2.5-pro	263.75 / 1M tokens	Image
Gemini Input Image Tokens (per 1M) Product	model: gemini-2.5-pro-preview-05-06	263.75 / 1M tokens	Image
Gemini Input Image Tokens (per 1M) Product	model: gemini-3.1-flash-image-preview	105.5 / 1M tokens	Image
Gemini Input Image Tokens (per 1M) Product	model: gemini-3.1-pro-preview	422 / 1M tokens	Image
Gemini Input Image Tokens (per 1M) Product	model: gemini-3-pro-image-preview	422 / 1M tokens	Image
Gemini Input Image Tokens (per 1M) Product	model: gemini-3-pro-preview	422 / 1M tokens	Image
Gemini Output Image Tokens (per 1M) Product	model: gemini-2.5-flash-image	6330 / 1M tokens	Image
Gemini Output Image Tokens (per 1M) Product	model: gemini-2.5-flash-image-preview	6330 / 1M tokens	Image
Gemini Output Image Tokens (per 1M) Product	model: gemini-2.5-flash-preview-04-17	3165 / 1M tokens	Image
Gemini Output Image Tokens (per 1M) Product	model: gemini-2.5-pro-preview-05-06	7385 / 1M tokens	Image
Gemini Output Image Tokens (per 1M) Product	model: gemini-3.1-flash-image-preview	12660 / 1M tokens	Image
Gemini Output Image Tokens (per 1M) Product	model: gemini-3.1-pro-preview	25320 / 1M tokens	Image
Gemini Output Image Tokens (per 1M) Product	model: gemini-3-pro-image-preview	25320 / 1M tokens	Image
Nano Banana 2 Image Generation	model: gemini-3.1-flash-image-preview, resolution: 2K	21.31 / run	Image
Nano Banana 2 Image Generation	model: gemini-3.1-flash-image-preview, resolution: 4K	32.49 / run	Image
Gemini Input Video Tokens (per 1M) Product	model: gemini-2.5-flash-image	63.3 / 1M tokens	Video
Gemini Input Video Tokens (per 1M) Product	model: gemini-2.5-flash-image-preview	63.3 / 1M tokens	Video
Gemini Input Video Tokens (per 1M) Product	model: gemini-2.5-flash	63.3 / 1M tokens	Video
Gemini Input Video Tokens (per 1M) Product	model: gemini-2.5-flash-preview-04-17	63.3 / 1M tokens	Video
Gemini Input Video Tokens (per 1M) Product	model: gemini-2.5-pro	263.75 / 1M tokens	Video
Gemini Input Video Tokens (per 1M) Product	model: gemini-2.5-pro-preview-05-06	263.75 / 1M tokens	Video
Gemini Input Video Tokens (per 1M) Product	model: gemini-3.1-pro-preview	422 / 1M tokens	Video
Gemini Input Video Tokens (per 1M) Product	model: gemini-3-pro-image-preview	422 / 1M tokens	Video
Gemini Input Video Tokens (per 1M) Product	model: gemini-3-pro-preview	422 / 1M tokens	Video
Gemini Output Video Tokens (per 1M) Product	model: gemini-2.5-flash-preview-04-17	4220 / 1M tokens	Video
Gemini Output Video Tokens (per 1M) Product	model: gemini-2.5-pro-preview-05-06	8440 / 1M tokens	Video
Gemini Input Audio Tokens (per 1M) Product	model: gemini-2.5-flash-image	211 / 1M tokens	Audio
Gemini Input Audio Tokens (per 1M) Product	model: gemini-2.5-flash-image-preview	211 / 1M tokens	Audio
Gemini Input Audio Tokens (per 1M) Product	model: gemini-2.5-flash	211 / 1M tokens	Audio
Gemini Input Audio Tokens (per 1M) Product	model: gemini-2.5-flash-preview-04-17	211 / 1M tokens	Audio
Gemini Input Audio Tokens (per 1M) Product	model: gemini-2.5-pro	263.75 / 1M tokens	Audio
Gemini Input Audio Tokens (per 1M) Product	model: gemini-2.5-pro-preview-05-06	263.75 / 1M tokens	Audio
Gemini Input Audio Tokens (per 1M) Product	model: gemini-3.1-pro-preview	422 / 1M tokens	Audio
Gemini Input Audio Tokens (per 1M) Product	model: gemini-3-pro-image-preview	422 / 1M tokens	Audio
Gemini Input Audio Tokens (per 1M) Product	model: gemini-3-pro-preview	422 / 1M tokens	Audio
Gemini Output Audio Tokens (per 1M) Product	model: gemini-2.5-flash-preview-04-17	3165 / 1M tokens	Audio
Gemini Output Audio Tokens (per 1M) Product	model: gemini-2.5-pro-preview-05-06	7385 / 1M tokens	Audio
Google Veo3/Veo3 Fast Video Generation	generateAudio: false, model: veo-3.0-fast-generate-001	168.8 / run	Video
Google Veo3/Veo3 Fast Video Generation	generateAudio: false, model: veo-3.0-generate-001	337.6 / run	Video
Google Veo3/Veo3 Fast Video Generation	generateAudio: true, model: veo-3.0-fast-generate-001	253.2 / run	Video
Google Veo3/Veo3 Fast Video Generation	generateAudio: true, model: veo-3.0-generate-001	675.2 / run	Video
Google Veo2 Video Generation	NA	105.5 / run	Video
Google Veo3	generateAudio: false, model: veo-3.0-fast-generate-001	21.1 / run	Image
Google Veo3	generateAudio: false, model: veo-3.0-generate-001	42.2 / run	Image
Google Veo3	generateAudio: false, model: veo-3.1-fast-generate-preview	21.1 / run	Image
Google Veo3	generateAudio: false, model: veo-3.1-generate-preview	42.2 / run	Image
Google Veo3	generateAudio: true, model: veo-3.0-fast-generate-001	31.65 / run	Image
Google Veo3	generateAudio: true, model: veo-3.0-generate-001	84.4 / run	Image
Google Veo3	generateAudio: true, model: veo-3.1-fast-generate-preview	31.65 / run	Image
Google Veo3	generateAudio: true, model: veo-3.1-generate-preview	84.4 / run	Image
Gemini Thoughts Tokens (per 1M) Product	model: gemini-3.1-flash-image-preview	633 / 1M tokens	Text
Gemini Thoughts Tokens (per 1M) Product	model: gemini-3.1-pro-preview	2532 / 1M tokens	Text
Gemini Thoughts Tokens (per 1M) Product	model: gemini-3-pro-image-preview	2532 / 1M tokens	Text
Gemini Thoughts Tokens (per 1M) Product	model: gemini-3-pro-preview	2532 / 1M tokens	Text
Gemini Input Text Tokens (per 1M) Product	model: gemini-3.1-flash-lite-preview	52.75 / 1M tokens	Text
Gemini Output Text Tokens (per 1M) Product	model: gemini-3.1-flash-lite-preview	316.5 / 1M tokens	Text
Gemini Input Image Tokens (per 1M) Product	model: gemini-3.1-flash-lite-preview	52.75 / 1M tokens	Image
Gemini Input Video Tokens (per 1M) Product	model: gemini-3.1-flash-lite-preview	52.75 / 1M tokens	Video
Gemini Input Audio Tokens (per 1M) Product	model: gemini-3.1-flash-lite-preview	105.5 / 1M tokens	Audio
Gemini Thoughts Tokens (per 1M) Product	model: gemini-3.1-flash-lite-preview	316.5 / 1M tokens	Text

HappyHorse

产品名称	配置	积分	类别
HappyHorse 视频生成产品	model: happyhorse1.0, resolution: 720P	29.54 / 秒	视频
HappyHorse 视频生成产品	model: happyhorse1.0, resolution: 1080P	50.64 / 秒	视频

Hitpaw

视频增强

产品名称	配置	积分	类别
Hitpaw 视频增强产品	type: Standard, resolution: 720P, fps: <30fps	2.11 / 秒	视频
Hitpaw 视频增强产品	type: Standard, resolution: 720P, fps: 30-60fps	4.22 / 秒	视频
Hitpaw 视频增强产品	type: Standard, resolution: 720P, fps: 60-120fps	8.44 / 秒	视频
Hitpaw 视频增强产品	type: Standard, resolution: 720P, fps: ≥120fps	12.66 / 秒	视频
Hitpaw 视频增强产品	type: Standard, resolution: 1080P, fps: <30fps	3.17 / 秒	视频
Hitpaw 视频增强产品	type: Standard, resolution: 1080P, fps: 30-60fps	6.33 / 秒	视频
Hitpaw 视频增强产品	type: Standard, resolution: 1080P, fps: 60-120fps	12.66 / 秒	视频
Hitpaw 视频增强产品	type: Standard, resolution: 1080P, fps: ≥120fps	18.99 / 秒	视频
Hitpaw 视频增强产品	type: Standard, resolution: 2K, fps: <30fps	4.22 / 秒	视频
Hitpaw 视频增强产品	type: Standard, resolution: 2K, fps: 30-60fps	8.23 / 秒	视频
Hitpaw 视频增强产品	type: Standard, resolution: 2K, fps: 60-120fps	16.46 / 秒	视频
Hitpaw 视频增强产品	type: Standard, resolution: 2K, fps: ≥120fps	24.69 / 秒	视频
Hitpaw 视频增强产品	type: Standard, resolution: 4K, fps: <30fps	5.28 / 秒	视频
Hitpaw 视频增强产品	type: Standard, resolution: 4K, fps: 30-60fps	10.76 / 秒	视频
Hitpaw 视频增强产品	type: Standard, resolution: 4K, fps: 60-120fps	21.31 / 秒	视频
Hitpaw 视频增强产品	type: Standard, resolution: 4K, fps: ≥120fps	32.07 / 秒	视频
Hitpaw 视频增强产品	type: Standard, resolution: 8K, fps: <30fps	6.96 / 秒	视频
Hitpaw 视频增强产品	type: Standard, resolution: 8K, fps: 30-60fps	13.93 / 秒	视频
Hitpaw 视频增强产品	type: Standard, resolution: 8K, fps: 60-120fps	27.85 / 秒	视频
Hitpaw 视频增强产品	type: Standard, resolution: 8K, fps: ≥120fps	41.78 / 秒	视频
Hitpaw 视频增强产品	type: Ultra, resolution: 720P, fps: <30fps	3.17 / 秒	视频
Hitpaw 视频增强产品	type: Ultra, resolution: 720P, fps: 30-60fps	6.54 / 秒	视频
Hitpaw 视频增强产品	type: Ultra, resolution: 720P, fps: 60-120fps	13.08 / 秒	视频
Hitpaw 视频增强产品	type: Ultra, resolution: 720P, fps: ≥120fps	19.41 / 秒	视频
Hitpaw 视频增强产品	type: Ultra, resolution: 1080P, fps: <30fps	4.22 / 秒	视频
Hitpaw 视频增强产品	type: Ultra, resolution: 1080P, fps: 30-60fps	8.44 / 秒	视频
Hitpaw 视频增强产品	type: Ultra, resolution: 1080P, fps: 60-120fps	16.88 / 秒	视频
Hitpaw 视频增强产品	type: Ultra, resolution: 1080P, fps: ≥120fps	25.32 / 秒	视频
Hitpaw 视频增强产品	type: Ultra, resolution: 2K, fps: <30fps	5.49 / 秒	视频
Hitpaw 视频增强产品	type: Ultra, resolution: 2K, fps: 30-60fps	10.97 / 秒	视频
Hitpaw 视频增强产品	type: Ultra, resolution: 2K, fps: 60-120fps	21.94 / 秒	视频
Hitpaw 视频增强产品	type: Ultra, resolution: 2K, fps: ≥120fps	32.92 / 秒	视频
Hitpaw 视频增强产品	type: Ultra, resolution: 4K, fps: <30fps	7.17 / 秒	视频
Hitpaw 视频增强产品	type: Ultra, resolution: 4K, fps: 30-60fps	14.35 / 秒	视频
Hitpaw 视频增强产品	type: Ultra, resolution: 4K, fps: 60-120fps	28.49 / 秒	视频
Hitpaw 视频增强产品	type: Ultra, resolution: 4K, fps: ≥120fps	42.83 / 秒	视频
Hitpaw 视频增强产品	type: Ultra, resolution: 8K, fps: <30fps	9.28 / 秒	视频
Hitpaw 视频增强产品	type: Ultra, resolution: 8K, fps: 30-60fps	18.57 / 秒	视频
Hitpaw 视频增强产品	type: Ultra, resolution: 8K, fps: 60-120fps	37.14 / 秒	视频
Hitpaw 视频增强产品	type: Ultra, resolution: 8K, fps: ≥120fps	55.7 / 秒	视频
Hitpaw 视频增强产品	type: Gen, resolution: 720P, fps: <30fps	3.17 / 秒	视频
Hitpaw 视频增强产品	type: Gen, resolution: 720P, fps: 30-60fps	6.33 / 秒	视频
Hitpaw 视频增强产品	type: Gen, resolution: 720P, fps: 60-120fps	12.66 / 秒	视频
Hitpaw 视频增强产品	type: Gen, resolution: 720P, fps: ≥120fps	18.99 / 秒	视频
Hitpaw 视频增强产品	type: Gen, resolution: 1080P, fps: <30fps	5.28 / 秒	视频
Hitpaw 视频增强产品	type: Gen, resolution: 1080P, fps: 30-60fps	10.55 / 秒	视频
Hitpaw 视频增强产品	type: Gen, resolution: 1080P, fps: 60-120fps	21.1 / 秒	视频
Hitpaw 视频增强产品	type: Gen, resolution: 1080P, fps: ≥120fps	31.65 / 秒	视频
Hitpaw 视频增强产品	type: Gen, resolution: 2K, fps: <30fps	8.02 / 秒	视频
Hitpaw 视频增强产品	type: Gen, resolution: 2K, fps: 30-60fps	15.82 / 秒	视频
Hitpaw 视频增强产品	type: Gen, resolution: 2K, fps: 60-120fps	31.65 / 秒	视频
Hitpaw 视频增强产品	type: Gen, resolution: 2K, fps: ≥120fps	47.48 / 秒	视频
Hitpaw 视频增强产品	type: Gen, resolution: 4K / 8K, fps: <30fps	11.82 / 秒	视频
Hitpaw 视频增强产品	type: Gen, resolution: 4K / 8K, fps: 30-60fps	23.84 / 秒	视频
Hitpaw 视频增强产品	type: Gen, resolution: 4K / 8K, fps: 60-120fps	47.48 / 秒	视频
Hitpaw 视频增强产品	type: Gen, resolution: 4K / 8K, fps: ≥120fps	71.32 / 秒	视频

图像增强

产品名称	配置	积分	类别
Hitpaw 图像增强产品	type: Standard, megapixels: <8MP	2.11 / 次	图像
Hitpaw 图像增强产品	type: Standard, megapixels: 8-12MP	4.22 / 次	图像
Hitpaw 图像增强产品	type: Standard, megapixels: 12-24MP	6.33 / 次	图像
Hitpaw 图像增强产品	type: Standard, megapixels: 24-48MP	14.77 / 次	图像
Hitpaw 图像增强产品	type: Standard, megapixels: 48-108MP	29.54 / 次	图像
Hitpaw 图像增强产品	type: Standard, megapixels: 108-216MP	50.64 / 次	图像
Hitpaw 图像增强产品	type: Standard, megapixels: 216-432MP	101.28 / 次	图像
Hitpaw 图像增强产品	type: Generative Portrait, megapixels: <8MP	4.22 / 次	图像
Hitpaw 图像增强产品	type: Generative Portrait, megapixels: 8-12MP	6.33 / 次	图像
Hitpaw 图像增强产品	type: Generative Portrait, megapixels: 12-24MP	8.44 / 次	图像
Hitpaw 图像增强产品	type: Generative Portrait, megapixels: 24-34MP	12.66 / 次	图像
Hitpaw 图像增强产品	type: Generative, megapixels: <8MP	10.55 / 次	图像
Hitpaw 图像增强产品	type: Generative, megapixels: 8-12MP	12.66 / 次	图像
Hitpaw 图像增强产品	type: Generative, megapixels: 12-24MP	16.88 / 次	图像
Hitpaw 图像增强产品	type: Generative, megapixels: 24-34MP	31.65 / 次	图像

Ideogram

产品名称	配置	积分	类别
prod-v1-Ideogram V3 Image Generation	endpoint: ideogram-v3/edit-character-ref, rendering_speed: DEFAULT	45.26 / run	Image
prod-v1-Ideogram V3 Image Generation	endpoint: ideogram-v3/edit-character-ref, rendering_speed: QUALITY	60.35 / run	Image
prod-v1-Ideogram V3 Image Generation	endpoint: ideogram-v3/edit-character-ref, rendering_speed: TURBO	30.17 / run	Image
prod-v1-Ideogram V3 Image Generation	endpoint: ideogram-v3/edit, rendering_speed: BALANCED	18.1 / run	Image
prod-v1-Ideogram V3 Image Generation	endpoint: ideogram-v3/edit, rendering_speed: DEFAULT	18.1 / run	Image
prod-v1-Ideogram V3 Image Generation	endpoint: ideogram-v3/edit, rendering_speed: QUALITY	27.16 / run	Image
prod-v1-Ideogram V3 Image Generation	endpoint: ideogram-v3/edit, rendering_speed: TURBO	9.05 / run	Image
prod-v1-Ideogram V3 Image Generation	endpoint: ideogram-v3/generate-character-ref, rendering_speed: DEFAULT	45.26 / run	Image
prod-v1-Ideogram V3 Image Generation	endpoint: ideogram-v3/generate-character-ref, rendering_speed: QUALITY	60.35 / run	Image
prod-v1-Ideogram V3 Image Generation	endpoint: ideogram-v3/generate-character-ref, rendering_speed: TURBO	30.17 / run	Image
prod-v1-Ideogram V3 Image Generation	endpoint: ideogram-v3/generate, rendering_speed: BALANCED	18.1 / run	Image
prod-v1-Ideogram V3 Image Generation	endpoint: ideogram-v3/generate, rendering_speed: DEFAULT	18.1 / run	Image
prod-v1-Ideogram V3 Image Generation	endpoint: ideogram-v3/generate, rendering_speed: QUALITY	27.16 / run	Image
prod-v1-Ideogram V3 Image Generation	endpoint: ideogram-v3/generate, rendering_speed: TURBO	9.05 / run	Image
prod-v1-Ideogram V3 Image Generation	endpoint: ideogram-v3/reframe, rendering_speed: DEFAULT	18.1 / run	Image
prod-v1-Ideogram V3 Image Generation	endpoint: ideogram-v3/reframe, rendering_speed: QUALITY	27.16 / run	Image
prod-v1-Ideogram V3 Image Generation	endpoint: ideogram-v3/reframe, rendering_speed: TURBO	9.05 / run	Image
prod-v1-Ideogram V3 Image Generation	endpoint: ideogram-v3/remix, rendering_speed: BALANCED	18.1 / run	Image
prod-v1-Ideogram V3 Image Generation	endpoint: ideogram-v3/remix, rendering_speed: DEFAULT	18.1 / run	Image
prod-v1-Ideogram V3 Image Generation	endpoint: ideogram-v3/remix, rendering_speed: QUALITY	27.16 / run	Image
prod-v1-Ideogram V3 Image Generation	endpoint: ideogram-v3/remix, rendering_speed: TURBO	9.05 / run	Image
prod-v1-Ideogram V3 Image Generation	endpoint: ideogram-v3/replace-background, rendering_speed: BALANCED	18.1 / run	Image
prod-v1-Ideogram V3 Image Generation	endpoint: ideogram-v3/replace-background, rendering_speed: DEFAULT	18.1 / run	Image
prod-v1-Ideogram V3 Image Generation	endpoint: ideogram-v3/replace-background, rendering_speed: QUALITY	27.16 / run	Image
prod-v1-Ideogram V3 Image Generation	endpoint: ideogram-v3/replace-background, rendering_speed: TURBO	9.05 / run	Image
prod-v1-Ideogram V3 Image Generation	endpoint: remix, rendering_speed: TURBO	9.05 / run	Image
prod-v1-Ideogram V4 Image Generation	endpoint: ideogram-v4/generate, rendering_speed: TURBO	9.05 / run	Image
prod-v1-Ideogram V4 Image Generation	endpoint: ideogram-v4/generate, rendering_speed: DEFAULT	18.1 / run	Image
prod-v1-Ideogram V4 Image Generation	endpoint: ideogram-v4/generate, rendering_speed: QUALITY	30.17 / run	Image
prod-v1-Ideogram Image Generation Product	endpoint: edit, model: v_2	24.14 / run	Image
prod-v1-Ideogram Image Generation Product	endpoint: edit, model: v_2_turbo	15.09 / run	Image
prod-v1-Ideogram Image Generation Product	endpoint: generate, model: v_1	18.1 / run	Image
prod-v1-Ideogram Image Generation Product	endpoint: generate, model: v_1_turbo	6.03 / run	Image
prod-v1-Ideogram Image Generation Product	endpoint: generate, model: v_2a	12.07 / run	Image
prod-v1-Ideogram Image Generation Product	endpoint: generate, model: v_2a_turbo	7.54 / run	Image
prod-v1-Ideogram Image Generation Product	endpoint: generate, model: v_2	24.14 / run	Image
prod-v1-Ideogram Image Generation Product	endpoint: generate, model: v_2_turbo	15.09 / run	Image
prod-v1-Ideogram Image Generation Product	endpoint: reframe, model: v_2	24.14 / run	Image
prod-v1-Ideogram Image Generation Product	endpoint: reframe, model: v_2_turbo	15.09 / run	Image
prod-v1-Ideogram Image Generation Product	endpoint: remix, model: v_1	18.1 / run	Image
prod-v1-Ideogram Image Generation Product	endpoint: remix, model: v_1_turbo	6.03 / run	Image
prod-v1-Ideogram Image Generation Product	endpoint: remix, model: v_2a	12.07 / run	Image
prod-v1-Ideogram Image Generation Product	endpoint: remix, model: v_2a_turbo	7.54 / run	Image
prod-v1-Ideogram Image Generation Product	endpoint: remix, model: v_2	24.14 / run	Image
prod-v1-Ideogram Image Generation Product	endpoint: remix, model: v_2_turbo	15.09 / run	Image

Krea

产品名称	配置	Credits	类别
Krea 2 Image Generation	model: krea-2-medium-turbo	3.2 / run	Image
Krea 2 Image Generation	model: krea-2-medium-turbo, 使用 style reference	3.7 / run	Image
Krea 2 Image Generation	model: krea-2-medium-turbo, 使用 moodboard	4.2 / run	Image
Krea 2 Image Generation	model: krea-2-medium	6.4 / run	Image
Krea 2 Image Generation	model: krea-2-medium, 使用 style reference	7.4 / run	Image
Krea 2 Image Generation	model: krea-2-medium, 使用 moodboard	8.5 / run	Image
Krea 2 Image Generation	model: krea-2-large	12.7 / run	Image
Krea 2 Image Generation	model: krea-2-large, 使用 style reference	13.8 / run	Image
Krea 2 Image Generation	model: krea-2-large, 使用 moodboard	14.8 / run	Image

Kling

产品名称	配置	积分	类别
prod-v1-Kling Video Generation Product	mode: pro, model: kling-v1	103.39 / run	Video
prod-v1-Kling Video Generation Product	mode: pro, model: kling-v1-5	103.39 / run	Video
prod-v1-Kling Video Generation Product	mode: pro, model: kling-v1-6	103.39 / run	Video
prod-v1-Kling Video Generation Product	mode: pro, model: kling-v2-1	103.39 / run	Video
prod-v1-Kling Video Generation Product	mode: pro, model: kling-v2-1-master	295.4 / run	Video
prod-v1-Kling Video Generation Product	mode: pro, model: kling-v2-5-turbo	73.85 / run	Video
prod-v1-Kling Video Generation Product	mode: pro, model: kling-v2-master	295.4 / run	Video
prod-v1-Kling Video Generation Product	mode: std, model: kling-v1	29.54 / sec	Video
prod-v1-Kling Video Generation Product	mode: std, model: kling-v1-5	59.08 / run	Video
prod-v1-Kling Video Generation Product	mode: std, model: kling-v1-6	59.08 / run	Video
prod-v1-Kling Video Generation Product	mode: std, model: kling-v2-1	59.08 / run	Video
prod-v1-Kling Video Generation Product	mode: std, model: kling-v2-1-master	295.4 / run	Video
prod-v1-Kling Video Generation Product	mode: std, model: kling-v2-master	295.4 / run	Video
Kling Video Generation with Sound Product	mode: pro, model: kling-v2-6, sound: off	14.77 / sec	Video
Kling Video Generation with Sound Product	mode: pro, model: kling-v2-6, sound: on	29.54 / sec	Video
Kling Video Generation with Sound Product	resolution: 1080p, model: kling-v3, no_sound: true	23.63 / sec	Video
Kling Video Generation with Sound Product	resolution: 1080p, model: kling-v3, no_sound: false	35.45 / sec	Video
Kling Video Generation with Sound Product	resolution: 720p, model: kling-v3, no_sound: true	17.72 / sec	Video
Kling Video Generation with Sound Product	resolution: 720p, model: kling-v3, no_sound: false	26.59 / sec	Video
Kling Video Generation with Sound Product	mode: pro, model: kling-v3-omni, no_sound: true	23.63 / sec	Video
Kling Video Generation with Sound Product	mode: pro, model: kling-v3-omni, no_sound: false	29.54 / sec	Video
Kling Video Generation with Sound Product	mode: std, model: kling-v3-omni, no_sound: true	17.72 / sec	Video
Kling Video Generation with Sound Product	mode: std, model: kling-v3-omni, no_sound: false	23.63 / sec	Video
Kling Video Generation with Sound Product	mode: pro, model: kling-v3-4k	88.62 / sec	Video
Kling Omni Video Product	generate_with_video: false, mode: pro, model: kling-video-o1	23.63 / sec	Video
Kling Omni Video Product	generate_with_video: false, mode: std, model: kling-video-o1	17.72 / sec	Video
Kling Omni Video Product	generate_with_video: true, mode: pro, model: kling-video-o1	35.45 / sec	Video
Kling Omni Video Product	generate_with_video: true, mode: std, model: kling-video-o1	26.59 / sec	Video
Kling Video Extension Product	NA	59.08 / run	Video
Kling Lip Sync Product	NA	14.77 / run	Image
Kling Motion Control Product	mode: std, model: kling-v2-6	14.77 / run	Image
Kling Motion Control Product	mode: pro, model: kling-v2-6	23.63 / run	Image
Kling Virtual Try On	model: kolors-virtual-try-on-v1	14.77 / run	Image
Kling Virtual Try On	model: kolors-virtual-try-on-v1-5	14.77 / run	Image
Kling Image Generation Product	model: kling-v1, operation: text_to_image	0.74 / run	Image
Kling Image Generation Product	model: kling-v1, operation: image_to_image	0.74 / run	Image
Kling Image Generation Product	model: kling-v1-5, operation: text_to_image	2.95 / run	Image
Kling Image Generation Product	model: kling-v1-5, operation: image_to_image	5.91 / run	Image
Kling Image Generation Product	model: kling-v2, operation: text_to_image	2.95 / run	Image
Kling Image Generation Product	model: kling-v2-new, operation: image_to_image_restyle	5.91 / run	Image
Kling Image Generation Product	model: kling-v2-1, operation: text_to_image	2.95 / run	Image
Kling Image Generation Product	model: kling-v3, specs: 1k, operation: text_to_image	5.91 / run	Image
Kling Image Generation Product	model: kling-v3, specs: 2k, operation: text_to_image	5.91 / run	Image
Kling Image Generation Product	model: kling-v3, specs: 1k, operation: image_to_image	5.91 / run	Image
Kling Image Generation Product	model: kling-v3, specs: 2k, operation: image_to_image	5.91 / run	Image
Kling Image Generation Product	model: kling-v3, specs: 1k, operation: image_editing	11.82 / run	Image
Kling Image Generation Product	model: kling-v3, specs: 4k, operation: image_editing	11.82 / run	Image
Kling Image Generation Product	model: kling-v3-omni, specs: 1k, operation: text_to_image	5.91 / run	Image
Kling Image Generation Product	model: kling-v3-omni, specs: 2k, operation: text_to_image	5.91 / run	Image
Kling Image Generation Product	model: kling-v3-omni, specs: 1k, operation: image_to_image	5.91 / run	Image
Kling Image Generation Product	model: kling-v3-omni, specs: 2k, operation: image_to_image	5.91 / run	Image
Kling Image Generation Product	model: kling-v3-omni, specs: 1k, operation: image_editing	11.82 / run	Image
Kling Image Generation Product	model: kling-v3-omni, specs: 4k, operation: image_editing	11.82 / run	Image
Kling Image Generation Product	model: kling-image-o1, operation: text_to_image	5.91 / run	Image
Kling Image Generation Product	model: kling-image-o1, operation: image_to_image	5.91 / run	Image
Kling Image Generation Product	model: kling-image-o1, operation: image_editing	5.91 / run	Image
Kling Image Generation w/ N	model: kling-v1, operation: text_to_image	0.74 / run	Image
Kling Image Generation w/ N	model: kling-v1, operation: image_to_image	0.74 / run	Image
Kling Image Generation w/ N	model: kling-v1-5, operation: text_to_image	2.95 / run	Image
Kling Image Generation w/ N	model: kling-v1-5, operation: image_to_image	5.91 / run	Image
Kling Image Generation w/ N	model: kling-v2, operation: text_to_image	2.95 / run	Image
Kling Credits	type: image	0.74 / run	Image
Kling Credits	type: video	29.54 / run	Image
Kling Camera Control Product	type: text-to-video	29.54 / run	Video
Kling Camera Control Product	type: image-to-video	103.39 / run	Video
Kling Avatar Product	mode: std	11.82 / sec	Video
Kling Avatar Product	mode: pro	23.63 / sec	Video
Kling 2.6 Audio Product	mode: text-to-video, no_sound: true	14.77 / sec	Video
Kling 2.6 Audio Product	mode: text-to-video, no_sound: false	29.54 / sec	Video
Kling 2.6 Audio Product	mode: image-to-video, no_sound: true	14.77 / sec	Video
Kling 2.6 Audio Product	mode: image-to-video, no_sound: false	29.54 / sec	Video

Lightricks

产品名称	配置	积分	类别
Ltx Video generation product	endpoint: image-to-video, model: ltx-2-fast, resolution: 1920x1080	8.44 / sec	Video
Ltx Video generation product	endpoint: image-to-video, model: ltx-2-fast, resolution: 2560x1440	16.88 / sec	Video
Ltx Video generation product	endpoint: image-to-video, model: ltx-2-fast, resolution: 3840x2160	33.76 / sec	Video
Ltx Video generation product	endpoint: image-to-video, model: ltx-2-pro, resolution: 1920x1080	12.66 / sec	Video
Ltx Video generation product	endpoint: image-to-video, model: ltx-2-pro, resolution: 2560x1440	25.32 / sec	Video
Ltx Video generation product	endpoint: image-to-video, model: ltx-2-pro, resolution: 3840x2160	50.64 / run	Video
Ltx Video generation product	endpoint: text-to-video, model: ltx-2-fast, resolution: 1920x1080	8.44 / sec	Video
Ltx Video generation product	endpoint: text-to-video, model: ltx-2-fast, resolution: 2560x1440	16.88 / sec	Video
Ltx Video generation product	endpoint: text-to-video, model: ltx-2-fast, resolution: 3840x2160	33.76 / sec	Video
Ltx Video generation product	endpoint: text-to-video, model: ltx-2-pro, resolution: 1920x1080	12.66 / sec	Video
Ltx Video generation product	endpoint: text-to-video, model: ltx-2-pro, resolution: 2560x1440	25.32 / sec	Video
Ltx Video generation product	endpoint: text-to-video, model: ltx-2-pro, resolution: 3840x2160	50.64 / run	Video

Luma

产品名称	配置	积分	类别
prod-v1-Luma Video Generation Product	model: ray-1-6	0.97 / sec	Video
prod-v1-Luma Video Generation Product	model: ray-2	1.93 / sec	Video
prod-v1-Luma Video Generation Product	model: ray-flash-2	0.66 / sec	Video
Luma Image Generations (millions of pixels) Product	model: photon-1	2.2 / run	Image
Luma Image Generations (millions of pixels) Product	model: photon-flash-1	0.57 / run	Image
Luma Agents uni-1 Image Product	model: uni-1, task: text-to-image	8.52 / run	Image
Luma Agents uni-1 Image Product	model: uni-1, task: image-to-image	9.16 / run	Image
Luma Agents uni-1 Image Product	model: uni-1, task: image-reference, num_reference_images: 1	9.16 / run	Image
Luma Agents uni-1 Image Product	model: uni-1, task: image-reference, num_reference_images: 2	9.79 / run	Image
Luma Agents uni-1 Image Product	model: uni-1, task: image-reference, num_reference_images: 3	10.42 / run	Image
Luma Agents uni-1 Image Product	model: uni-1, task: image-reference, num_reference_images: 4	11.06 / run	Image
Luma Agents uni-1 Image Product	model: uni-1, task: image-reference, num_reference_images: 5	11.69 / run	Image
Luma Agents uni-1 Image Product	model: uni-1, task: image-reference, num_reference_images: 6	12.32 / run	Image
Luma Agents uni-1 Image Product	model: uni-1, task: image-reference, num_reference_images: 7	12.96 / run	Image
Luma Agents uni-1 Image Product	model: uni-1, task: image-reference, num_reference_images: 8	13.59 / run	Image
Luma Agents uni-1 Image Product	model: uni-1, task: image-reference, num_reference_images: 9	14.22 / run	Image
Luma Agents uni-1-max Image Product	model: uni-1-max, task: text-to-image	21.10 / run	Image
Luma Agents uni-1-max Image Product	model: uni-1-max, task: image-to-image	21.73 / run	Image
Luma Agents uni-1-max Image Product	model: uni-1-max, task: image-reference, num_reference_images: 1	21.73 / run	Image
Luma Agents uni-1-max Image Product	model: uni-1-max, task: image-reference, num_reference_images: 2	22.37 / run	Image
Luma Agents uni-1-max Image Product	model: uni-1-max, task: image-reference, num_reference_images: 3	23.00 / run	Image
Luma Agents uni-1-max Image Product	model: uni-1-max, task: image-reference, num_reference_images: 4	23.63 / run	Image
Luma Agents uni-1-max Image Product	model: uni-1-max, task: image-reference, num_reference_images: 5	24.27 / run	Image
Luma Agents uni-1-max Image Product	model: uni-1-max, task: image-reference, num_reference_images: 6	24.90 / run	Image
Luma Agents uni-1-max Image Product	model: uni-1-max, task: image-reference, num_reference_images: 7	25.53 / run	Image
Luma Agents uni-1-max Image Product	model: uni-1-max, task: image-reference, num_reference_images: 8	26.16 / run	Image
Luma Agents uni-1-max Image Product	model: uni-1-max, task: image-reference, num_reference_images: 9	26.80 / run	Image

Meshy

产品名称	配置	积分	类别
Meshy Retexture	NA	84.4 / run	3D
Meshy Rigging	NA	42.2 / run	3D
Meshy Remesh	NA	42.2 / run	3D
Meshy Animation	NA	25.32 / run	3D
Meshy Multi Image to 3D	should_texture: false	42.2 / run	Image
Meshy Multi Image to 3D	should_texture: true	126.6 / run	Image
Meshy Text to 3D	mode: preview, model: latest	168.8 / run	3D
Meshy Text to 3D	mode: preview, model: meshy-5	42.2 / run	3D
Meshy Text to 3D	mode: refine, model: latest	84.4 / run	3D
Meshy Image to 3D	model: latest, model_type: lowpoly, should_texture: false	168.8 / run	Image
Meshy Image to 3D	model: latest, model_type: lowpoly, should_texture: true	253.2 / run	Image
Meshy Image to 3D	model: latest, model_type: standard, should_texture: false	168.8 / run	Image
Meshy Image to 3D	model: latest, model_type: standard, should_texture: true	253.2 / run	Image
Meshy Image to 3D	model: meshy-5, model_type: lowpoly, should_texture: false	168.8 / run	Image
Meshy Image to 3D	model: meshy-5, model_type: lowpoly, should_texture: true	253.2 / run	Image
Meshy Image to 3D	model: meshy-5, model_type: standard, should_texture: false	42.2 / run	Image
Meshy Image to 3D	model: meshy-5, model_type: standard, should_texture: true	126.6 / run	Image

Minimax

产品名称	配置	积分	类别
prod-v1-Minimax Video Product	model: i2v-01-director	90.73 / run	Video
prod-v1-Minimax Video Product	model: i2v-01-live	90.73 / run	Video
prod-v1-Minimax Video Product	model: i2v-01	90.73 / run	Video
prod-v1-Minimax Video Product	model: s2v-01	137.15 / run	Video
prod-v1-Minimax Video Product	model: t2v-01-director	90.73 / run	Video
prod-v1-Minimax Video Product	model: t2v-01	90.73 / run	Video
Minimax Video Generation_models after Hailuo-02	duration: 10, model: minimax-hailuo-02, resolution: 768P	118.16 / run	Video
Minimax Video Generation_models after Hailuo-02	duration: 6, model: minimax-hailuo-02, resolution: 1080P	103.39 / run	Video
Minimax Video Generation_models after Hailuo-02	duration: 6, model: minimax-hailuo-02, resolution: 768P	59.08 / run	Video

Moonvalley

服务不可用：Moonvalley API 服务已不再提供，下列节点已弃用，可能无法正常使用。

产品名称	配置	积分	类别
Moonvalley Image-to-Video 5s	NA	316.5 / run	Video
Moonvalley Image-to-Video 10s	NA	633 / run	Video
Moonvalley Text-to-Video 5s	NA	316.5 / run	Video
Moonvalley Text-to-Video 10s	NA	633 / run	Video
Moonvalley Video-to-Video 5s	NA	474.75 / run	Video
Moonvalley Video-to-Video 10s	NA	844 / run	Video

OpenAI

OpenAI 合作节点按与公开 API 相同的美元用量计费。积分 = 美元 × 211（见页首）。下方文本模型的美元单价与 OpenAI API 定价 页面中的 Standard（标准） 档一致（每百万 token）；GPT Image 的 token 倍率与 comfy_api_nodes/nodes_openai.py 中实现一致。DALL·E 与 Sora 的固定计价与节点 price_badge 公式一致。最终扣费以实际计量（token、时长、缓存命中等）为准。

DALL·E 2（`OpenAIDalle2`）

按每张生成图计费（n > 1 时乘以张数）。

产品名称	配置	积分 / 张	类别
OpenAI DALL·E 2 图像	size: 256x256	3.38	图像
OpenAI DALL·E 2 图像	size: 512x512	3.80	图像
OpenAI DALL·E 2 图像	size: 1024x1024	4.22	图像

DALL·E 3（`OpenAIDalle3`）

产品名称	配置	积分 / 次	类别
OpenAI DALL·E 3 图像	quality: standard, size: 1024x1024	8.44	图像
OpenAI DALL·E 3 图像	quality: standard, size: 1024x1792 或 1792x1024	16.88	图像
OpenAI DALL·E 3 图像	quality: hd, size: 1024x1024	16.88	图像
OpenAI DALL·E 3 图像	quality: hd, size: 1024x1792 或 1792x1024	25.32	图像

GPT Image 1 / 1.5 / 2（`OpenAIGPTImage1`）

按 API 返回的 token 用量计费。每百万 token 的积分 = 美元单价 × 211（与节点内 calculate_tokens_price_image_1 / calculate_tokens_price_image_1_5 一致）。

产品名称	配置	积分 / 百万 token	类别
OpenAI GPT Image 输入（文本/图像）	model: gpt-image-1	2110（$10 / 1M）	图像
OpenAI GPT Image 输出（图像）	model: gpt-image-1	8440（$40 / 1M）	图像
OpenAI GPT Image 输入（文本/图像）	model: gpt-image-1.5	1688（$8 / 1M）	图像
OpenAI GPT Image 输出（图像）	model: gpt-image-1.5	6752（$32 / 1M）	图像
OpenAI GPT Image 输入（图像）	model: gpt-image-2	1688（$8 / 1M）	图像
OpenAI GPT Image 缓存输入（图像）	model: gpt-image-2	422（$2 / 1M）	图像
OpenAI GPT Image 输入（文本）	model: gpt-image-2	1055（$5 / 1M）	图像
OpenAI GPT Image 缓存输入（文本）	model: gpt-image-2	263.75（$1.25 / 1M）	图像
OpenAI GPT Image 输出（图像）	model: gpt-image-2	6330（$30 / 1M）	图像

界面会按质量（low / medium / high）显示大致 美元区间；实际费用取决于 token 数。

对话（`OpenAIChatNode`）

节点内可选模型：gpt-5.5、gpt-5.5-pro、gpt-5、gpt-5-mini、gpt-5-nano、gpt-4.1、gpt-4.1-mini、gpt-4.1-nano、o3、o4-mini、o1、o1-pro。下表为 Standard 档，每百万 token；「缓存输入」为 OpenAI 公示的缓存输入单价（无单独行则用「—」）。对于同时提供短上下文和长上下文价格的模型，请求超出短上下文窗口后将按长上下文单价计费。

模型	输入积分 / 1M	缓存输入积分 / 1M	输出积分 / 1M
gpt-5.5（短上下文）	1055	105.5	6330
gpt-5.5（长上下文）	2110	211	9495
gpt-5.5-pro（短上下文）	6330	—	37980
gpt-5.5-pro（长上下文）	12660	—	56970
gpt-5	263.75	26.38	2110
gpt-5-mini	52.75	5.28	422
gpt-5-nano	10.55	1.06	84.4
gpt-4.1	422	105.5	1688
gpt-4.1-mini	84.4	21.1	337.6
gpt-4.1-nano	21.1	5.28	84.4
o3	422	105.5	1688
o4-mini	232.1	58.03	928.4
o1	3165	1582.5	12660
o1-pro	31650	—	126600

附加图片、文件会按同一模型的输入单价折算为 token 费用。

Sora 视频（`OpenAIVideoSora2`）

美元费用 = 每秒单价 × 秒数（时长可选 4、8 或 12 秒）。积分 = 美元 × 211。

产品名称	配置	积分 / 秒	类别
OpenAI Sora 视频生成	model: sora-2, size: 720x1280 或 1280x720	21.10	视频
OpenAI Sora 视频生成	model: sora-2-pro, size: 720x1280 或 1280x720	63.30	视频
OpenAI Sora 视频生成	model: sora-2-pro, size: 1024x1792 或 1792x1024	105.50	视频

示例：sora-2，1280x720，8 秒 → 约 168.8 积分（$0.10 × 8 × 211）。

OpenRouter

OpenRouter LLM（`OpenRouterLLMNode`）

每百万 token。

模型	输入积分 / 1M	输出积分 / 1M
`anthropic/claude-opus-4.7`	1055	5275
`openai/gpt-5.5-pro`	6330	37980
`openai/gpt-5.5`	1055	6330
`google/gemini-3.5-flash`	316.5	1899
`x-ai/grok-4.20`	263.75	527.5
`x-ai/grok-4.3`	263.75	527.5
`deepseek/deepseek-v4-pro`	91.785	183.57
`deepseek/deepseek-v4-flash`	23.632	47.264
`deepseek/deepseek-v3.2`	53.172	79.758
`qwen/qwen3.6-max-preview`	219.44	1316.64
`qwen/qwen3.6-plus`	68.575	411.45
`qwen/qwen3.6-flash`	39.5625	237.375
`mistralai/mistral-large-2512`	105.5	316.5
`mistralai/mistral-medium-3-5`	316.5	1582.5
`z-ai/glm-4.6`	90.73	367.14
`z-ai/glm-5`	126.6	405.12
`moonshotai/kimi-k2.6`	154.03	736.39
`moonshotai/kimi-k2-thinking`	126.6	527.5
`perplexity/sonar-pro`	633	3165
`perplexity/sonar-reasoning-pro`	422	1688
`perplexity/sonar-deep-research`	422	1688

Pika

产品名称	配置	积分	类别
prod-v1-Pika Video Generation Product (10 seconds)	endpoint: generate/2.2/i2v, resolution: 1080p	211 / run	Video
prod-v1-Pika Video Generation Product (10 seconds)	endpoint: generate/2.2/i2v, resolution: 720p	126.6 / run	Video
prod-v1-Pika Video Generation Product (10 seconds)	endpoint: generate/2.2/pikaframes, resolution: 1080p	211 / run	Video
prod-v1-Pika Video Generation Product (10 seconds)	endpoint: generate/2.2/pikaframes, resolution: 720p	52.75 / run	Video
prod-v1-Pika Video Generation Product (10 seconds)	endpoint: generate/2.2/pikascenes, resolution: 1080p	316.5 / run	Video
prod-v1-Pika Video Generation Product (10 seconds)	endpoint: generate/2.2/pikascenes, resolution: 720p	84.4 / run	Video
prod-v1-Pika Video Generation Product (10 seconds)	endpoint: generate/2.2/t2v, resolution: 1080p	211 / run	Video
prod-v1-Pika Video Generation Product (10 seconds)	endpoint: generate/2.2/t2v, resolution: 720p	126.6 / run	Video
prod-v1-Pika Video Generation (5 seconds)	endpoint: generate/2.2/i2v, resolution: 1080p	94.95 / run	Video
prod-v1-Pika Video Generation (5 seconds)	endpoint: generate/2.2/i2v, resolution: 720p	42.2 / run	Video
prod-v1-Pika Video Generation (5 seconds)	endpoint: generate/2.2/pikaframes, resolution: 1080p	63.3 / run	Video
prod-v1-Pika Video Generation (5 seconds)	endpoint: generate/2.2/pikaframes, resolution: 720p	42.2 / run	Video
prod-v1-Pika Video Generation (5 seconds)	endpoint: generate/2.2/pikascenes, resolution: 1080p	105.5 / run	Video
prod-v1-Pika Video Generation (5 seconds)	endpoint: generate/2.2/pikascenes, resolution: 720p	63.3 / run	Video
prod-v1-Pika Video Generation (5 seconds)	endpoint: generate/2.2/t2v, resolution: 1080p	94.95 / run	Video
prod-v1-Pika Video Generation (5 seconds)	endpoint: generate/2.2/t2v, resolution: 720p	42.2 / run	Video
prod-v1-Pika Video Generation (5 seconds)	endpoint: generate/pikaffects, resolution: 720p	94.95 / run	Video
Pika Basic Video Product	endpoint: generate/pikadditions	63.3 / run	Video
Pika Basic Video Product	endpoint: generate/pikaffects	94.95 / run	Video
Pika Basic Video Product	endpoint: generate/pikaswaps	63.3 / run	Video

Pixverse

产品名称	配置	积分	类别
Pixverse 5 seconds Video Product	model: v3.5, motion_mode: fast, quality: 360p	189.9 / run	Video
Pixverse 5 seconds Video Product	model: v3.5, motion_mode: fast, quality: 540p	189.9 / run	Video
Pixverse 5 seconds Video Product	model: v3.5, motion_mode: fast, quality: 720p	253.2 / run	Video
Pixverse 5 seconds Video Product	model: v3.5, motion_mode: normal, quality: 1080p	253.2 / run	Video
Pixverse 5 seconds Video Product	model: v3.5, motion_mode: normal, quality: 360p	94.95 / run	Video
Pixverse 5 seconds Video Product	model: v3.5, motion_mode: normal, quality: 540p	94.95 / run	Video
Pixverse 5 seconds Video Product	model: v3.5, motion_mode: normal, quality: 720p	126.6 / run	Video
Pixverse 8 seconds Video Product	model: v3.5, motion_mode: normal, quality: 360p	189.9 / run	Video
Pixverse 8 seconds Video Product	model: v3.5, motion_mode: normal, quality: 540p	189.9 / run	Video
Pixverse 8 seconds Video Product	model: v3.5, motion_mode: normal, quality: 720p	253.2 / run	Video

Quiver

产品名称	配置	积分	类别
Quiver Text to SVG	model: arrow-1.1	60.35 / 次	Image
Quiver Image to SVG	model: arrow-1.1	45.26 / 次	Image
Quiver Text to SVG	model: arrow-1.1-max	75.43 / 次	Image
Quiver Image to SVG	model: arrow-1.1-max	60.35 / 次	Image

Recraft

产品名称	配置	积分	类别
Recraft Create Style	endpoint: v2/style/create	8.44 / 次	Image
Recraft Text to Image	endpoint: v2/auto/text-to-image	8.44 / 次	Image
Recraft Image to Image	endpoint: v2/auto/image-to-image	8.44 / 次	Image
Recraft Inpainting	endpoint: v2/auto/inpainting	8.44 / 次	Image
Recraft Text to Vector	endpoint: v2/auto/text-to-vector	16.88 / 次	Image
Recraft Vectorize Image	endpoint: v2/auto/vectorize-image	2.11 / 次	Image
Recraft Replace Background	endpoint: v2/image/replace-background	8.44 / 次	Image
Recraft Remove Background	endpoint: v2/image/remove-background	2.11 / 次	Image
Recraft Crisp Upscale	endpoint: v2/image/crisp-upscale	0.84 / 次	Image
Recraft Creative Upscale	endpoint: v2/image/creative-upscale	52.75 / 次	Image
Recraft V4 Text to Image	model: recraftv4	8.44 / 次	Image
Recraft V4 Text to Image	model: recraftv4_pro	52.75 / 次	Image
Recraft V4 Text to Vector	model: recraftv4	16.88 / 次	Image
Recraft V4 Text to Vector	model: recraftv4_pro	63.30 / 次	Image

Reve

以下价格为基础价格（test_time_scaling=1，不启用后处理）。启用超分辨率或背景移除后实际费用可能更高。

产品名称	配置	积分	类别
Reve Image Create	model: reve-create@20250915	7.24 / run	图像
Reve Image Edit	model: reve-edit@20250915	12.07 / run	图像
Reve Image Edit	model: reve-edit-fast@20251030	2.11 / run	图像
Reve Image Remix	model: reve-remix@20250915	12.07 / run	图像
Reve Image Remix	model: reve-remix-fast@20251030	2.11 / run	图像

Rodin

Hyper3D Rodin（Gen-2）

产品名称	配置	积分	类别
Rodin 3D Generation (no addons)	NA	84.4 / run	3D
Rodin 3D Generation (with AddOns)	NA	253.2 / run	3D

Hyper3D Rodin Gen-2.5（`Rodin3D_Gen25_Image` / `Rodin3D_Gen25_Text`）

产品名称	配置	积分	类别
Rodin Gen-2.5（Regular / Fast）	mode: Regular 或 Fast	158.25 / run	3D
Rodin Gen-2.5（Extreme-High）	mode: Extreme-High	316.5 / run	3D
Rodin Gen-2.5 HighPack 附加组件	addon_highpack: true	+168.8 / run	3D

Runway

产品名称	配置	积分	类别
prod-v1-Runway Video Generation Product	model: gen3a_turbo	15.09 / sec	Video
prod-v1-Runway Video Generation Product	model: gen4_turbo	10.55 / sec	Video
prod-v1-Runway Video Generation Product	model: aleph2	84.48 / sec	Video
RunwayML Image Generation Product	model: gen4_image	24.14 / 次	Image
Runway First & Last Frame Generation Product	model: gen4_turbo	15.09 / sec	Video

Sonilo

产品名称	配置	积分	类别
Sonilo Music Generate	model: sonilo, type: video-to-music	1.9 / sec	Audio
Sonilo Music Generate	model: sonilo, type: text-to-music	1.055 / sec	Audio

Stability AI

产品名称	配置	积分	类别
prod-v1-Stability Image Generation Product	endpoint: v2beta/stable-image/generate/core	6.33 / run	Image
prod-v1-Stability Image Generation Product	endpoint: v2beta/stable-image/generate/ultra	16.88 / run	Image
prod-v1-Stability Image Generation Product	endpoint: v2beta/stable-image/upscale/conservative	84.4 / run	Image
prod-v1-Stability Image Generation Product	endpoint: v2beta/stable-image/upscale/creative	126.6 / run	Image
prod-v1-Stability Image Generation Product	endpoint: v2beta/stable-image/upscale/fast	4.22 / run	Image
Stability AI SD3 Image Products	model: sd3.5-large	13.71 / run	Image
Stability AI SD3 Image Products	model: sd3.5-large-turbo	8.44 / run	Image
Stability AI SD3 Image Products	model: sd3.5-medium	7.39 / run	Image
Stability Audio Generation Product	endpoint: v2beta/audio/stable-audio-2/audio-to-audio, model: stable-audio-2.5	42.2 / run	Audio
Stability Audio Generation Product	endpoint: v2beta/audio/stable-audio-2/inpaint, model: stable-audio-2.5	42.2 / run	Audio
Stability Audio Generation Product	endpoint: v2beta/audio/stable-audio-2/text-to-audio, model: stable-audio-2.5	42.2 / run	Audio

Tencent

产品名称	配置	积分	类别
Tencent 3D Generate Type	endpoint: hunyuan/3d-pro, generate_type: Geometry	63.3 / run	3D
Tencent 3D Generate Type	endpoint: hunyuan/3d-pro, generate_type: LowPoly	126.6 / run	3D
Tencent 3D Generate Type	endpoint: hunyuan/3d-pro, generate_type: Normal	105.5 / run	3D
Tencent 3D Generate Type	endpoint: hunyuan/3d-pro, generate_type: Sketch	105.5 / run	3D
Tencent 3D Face Count	custom_face_count: true, endpoint: hunyuan/3d-pro	42.2 / run	3D
Tencent 3D PBR	enable_pbr: true, endpoint: hunyuan/3d-pro	42.2 / run	3D
Tencent 3D Multiview Images	endpoint: hunyuan/3d-pro, multi_view: true	42.2 / run	Image
Tencent 3D	endpoint: hunyuan/3d-part	126.6 / run	3D
Tencent 3D	endpoint: hunyuan/3d-texture-edit	126.6 / run	3D
Tencent 3D	endpoint: hunyuan/3d-uv	42.2 / run	3D
Tencent 3D	endpoint: hunyuan/3d-smart-topology	211 / run	3D

Topaz

图像增强

产品名称	配置	积分	类别
Topaz Image Enhance (Reimagine)	输入分辨率：720p (1280x720)	13.93 / 次	图像
Topaz Image Enhance (Reimagine)	输入分辨率：1080p (1920x1080)	27.85 / 次	图像
Topaz Image Enhance (Reimagine)	输入分辨率：1440p (2560x1440)	27.85 / 次	图像
Topaz Image Enhance (Reimagine)	输入分辨率：4K (3840x2160)	69.63 / 次	图像

视频增强

产品名称	配置	积分	类别
Topaz Video Enhance	model: Starlight Precise 2.5 (slp-2.5)，upscaler_resolution: FullHD (1080p)	12.99 / 秒	视频
Topaz Video Enhance	model: Starlight Precise 2.5 (slp-2.5)，upscaler_resolution: 4K (2160p)	28.08 / 秒	视频
Topaz Video Enhance	model: Starlight (Astra) Fast (slf-1)，upscaler_resolution: FullHD (1080p)	6.50 / 秒	视频
Topaz Video Enhance	model: Starlight (Astra) Fast (slf-1)，upscaler_resolution: 4K (2160p)	14.16 / 秒	视频
Topaz Video Enhance	model: Starlight (Astra) Creative (slc-1)，upscaler_resolution: FullHD (1080p)	43.62 / 秒	视频
Topaz Video Enhance	model: Starlight (Astra) Creative (slc-1)，upscaler_resolution: 4K (2160p)	77.99 / 秒	视频
Topaz Video Enhance	interpolation_model: apo-8，输入分辨率：720p	2.55 / 秒	视频
Topaz Video Enhance	interpolation_model: apo-8，输入分辨率：1080p	5.57 / 秒	视频
Topaz Video Enhance	interpolation_model: apo-8，输入分辨率：4K	21.59 / 秒	视频
Topaz Video Enhance	model: Astra 2 (ast-2)，分辨率：1080p	1.688 / 帧	视频
Topaz Video Enhance	model: Astra 2 (ast-2)，分辨率：4K	2.813 / 帧	视频

Tripo

产品名称	配置	积分	类别
Tripo Generation (with Textures) Product	model: v2.0-20240919, texture_quality: detailed, type: image_to_model	84.4 / run	3D
Tripo Generation (with Textures) Product	model: v2.0-20240919, texture_quality: detailed, type: multiview_to_model	84.4 / run	3D
Tripo Generation (with Textures) Product	model: v2.0-20240919, texture_quality: detailed, type: text_to_model	63.3 / run	3D
Tripo Generation (with Textures) Product	model: v2.0-20240919, texture_quality: standard, type: image_to_model	63.3 / run	3D
Tripo Generation (with Textures) Product	model: v2.0-20240919, texture_quality: standard, type: multiview_to_model	63.3 / run	3D
Tripo Generation (with Textures) Product	model: v2.0-20240919, texture_quality: standard, type: text_to_model	42.2 / run	3D
Tripo Generation (with Textures) Product	model: v2.5-20250123, texture_quality: detailed, type: image_to_model	84.4 / run	3D
Tripo Generation (with Textures) Product	model: v2.5-20250123, texture_quality: detailed, type: multiview_to_model	84.4 / run	3D
Tripo Generation (with Textures) Product	model: v2.5-20250123, texture_quality: detailed, type: text_to_model	63.3 / run	3D
Tripo Generation (with Textures) Product	model: v2.5-20250123, texture_quality: standard, type: image_to_model	63.3 / run	3D
Tripo Generation (with Textures) Product	model: v2.5-20250123, texture_quality: standard, type: multiview_to_model	63.3 / run	3D
Tripo Generation (with Textures) Product	model: v2.5-20250123, texture_quality: standard, type: text_to_model	42.2 / run	3D
Tripo Generation (with Textures) Product	model: v3.0-20250812, texture_quality: detailed, type: image_to_model	84.4 / run	3D
Tripo Generation (with Textures) Product	model: v3.0-20250812, texture_quality: detailed, type: multiview_to_model	84.4 / run	3D
Tripo Generation (with Textures) Product	model: v3.0-20250812, texture_quality: detailed, type: text_to_model	63.3 / run	3D
Tripo Generation (with Textures) Product	model: v3.0-20250812, texture_quality: standard, type: image_to_model	63.3 / run	3D
Tripo Generation (with Textures) Product	model: v3.0-20250812, texture_quality: standard, type: multiview_to_model	63.3 / run	3D
Tripo Generation (with Textures) Product	model: v3.0-20250812, texture_quality: standard, type: text_to_model	42.2 / run	3D
Tripo Generation (with Textures) Product	model: v3.1, texture_quality: detailed, type: image_to_model	84.4 / run	3D
Tripo Generation (with Textures) Product	model: v3.1, texture_quality: detailed, type: multiview_to_model	84.4 / run	3D
Tripo Generation (with Textures) Product	model: v3.1, texture_quality: detailed, type: text_to_model	63.3 / run	3D
Tripo Generation (with Textures) Product	model: v3.1, texture_quality: standard, type: image_to_model	63.3 / run	3D
Tripo Generation (with Textures) Product	model: v3.1, texture_quality: standard, type: multiview_to_model	63.3 / run	3D
Tripo Generation (with Textures) Product	model: v3.1, texture_quality: standard, type: text_to_model	42.2 / run	3D
Tripo Generation (no textures) Product	model: v2.0-20240919, type: image_to_model	42.2 / run	3D
Tripo Generation (no textures) Product	model: v2.0-20240919, type: multiview_to_model	42.2 / run	3D
Tripo Generation (no textures) Product	model: v2.0-20240919, type: text_to_model	21.1 / run	3D
Tripo Generation (no textures) Product	model: v2.5-20250123, type: image_to_model	42.2 / run	3D
Tripo Generation (no textures) Product	model: v2.5-20250123, type: multiview_to_model	42.2 / run	3D
Tripo Generation (no textures) Product	model: v2.5-20250123, type: text_to_model	21.1 / run	3D
Tripo Generation (no textures) Product	model: v3.0-20250812, type: image_to_model	42.2 / run	3D
Tripo Generation (no textures) Product	model: v3.0-20250812, type: multiview_to_model	42.2 / run	3D
Tripo Generation (no textures) Product	model: v3.0-20250812, type: text_to_model	21.1 / run	3D
Tripo Generation (no textures) Product	model: v3.1, type: image_to_model	42.2 / run	3D
Tripo Generation (no textures) Product	model: v3.1, type: multiview_to_model	42.2 / run	3D
Tripo Generation (no textures) Product	model: v3.1, type: text_to_model	21.1 / run	3D
Tripo Style Product	NA	10.55 / run	3D
Tripo Quadrangular Product	NA	10.55 / run	3D
Tripo Add Texture Product	texture_quality: detailed	42.2 / run	3D
Tripo Add Texture Product	texture_quality: standard	21.1 / run	3D
Tripo Post-Processing Product	type: animate_retarget	21.1 / run	3D
Tripo Post-Processing Product	type: animate_rig	52.75 / run	3D
Tripo Post-Processing Product	type: stylize_model	42.2 / run	3D
Tripo Convert Product	convert_format: advanced	21.1 / run	3D
Tripo Convert Product	convert_format: basic	10.55 / run	3D
Tripo V1-4 Generation Product	type: image_to_model	63.3 / run	3D
Tripo V1-4 Generation Product	type: refine_model	63.3 / run	3D
Tripo V1-4 Generation Product	type: text_to_model	42.2 / run	3D
Tripo Geometry Quality Product	geometry_quality: detailed	42.2 / run	3D
Tripo P1 Generation Product	model: P1-20260311, type: text_to_model, output_mode: Geometry only	63.3 / run	3D
Tripo P1 Generation Product	model: P1-20260311, type: text_to_model, output_mode: Textured, texture_quality: standard	84.4 / run	3D
Tripo P1 Generation Product	model: P1-20260311, type: text_to_model, output_mode: Textured, texture_quality: detailed	105.5 / run	3D
Tripo P1 Generation Product	model: P1-20260311, type: image_to_model, output_mode: Geometry only	84.4 / run	3D
Tripo P1 Generation Product	model: P1-20260311, type: image_to_model, output_mode: Textured, texture_quality: standard	105.5 / run	3D
Tripo P1 Generation Product	model: P1-20260311, type: image_to_model, output_mode: Textured, texture_quality: detailed	126.6 / run	3D
Tripo P1 Generation Product	model: P1-20260311, type: multiview_to_model, output_mode: Geometry only	84.4 / run	3D
Tripo P1 Generation Product	model: P1-20260311, type: multiview_to_model, output_mode: Textured, texture_quality: standard	105.5 / run	3D
Tripo P1 Generation Product	model: P1-20260311, type: multiview_to_model, output_mode: Textured, texture_quality: detailed	126.6 / run	3D

Vidu

视频生成 — Q3

产品名称	配置	积分	类别
Vidu Q3 视频生成产品	model: vidu-q3-pro, resolution: 1080P	33.76 / 秒	视频
Vidu Q3 视频生成产品	model: vidu-q3-pro, resolution: 720P	31.65 / 秒	视频
Vidu Q3 视频生成产品	model: vidu-q3-pro, resolution: 540P	14.77 / 秒	视频
Vidu Q3 视频生成产品	model: vidu-q3-turbo, resolution: 1080P	16.88 / 秒	视频
Vidu Q3 视频生成产品	model: vidu-q3-turbo, resolution: 720P	12.66 / 秒	视频
Vidu Q3 视频生成产品	model: vidu-q3-turbo, resolution: 540P	8.44 / 秒	视频

视频生成 — Q2

非高峰价格为正常价格的一半，积分含小数时向上取整。

产品名称	配置	积分	类别
Vidu Q2 视频生成产品	model: q2-turbo, type: img2video / start-end2video, resolution: 540P	起始 6.33，+2.11/sec	视频
Vidu Q2 视频生成产品	model: q2-turbo, type: img2video / start-end2video, resolution: 720P	起始 8.44，+10.55/sec（2秒后）	视频
Vidu Q2 视频生成产品	model: q2-turbo, type: img2video / start-end2video, resolution: 1080P	起始 36.92，+10.55/sec	视频
Vidu Q2 视频生成产品	model: q2-pro, type: img2video / start-end2video, resolution: 540P	起始 8.44，+5.28/sec（2秒后）	视频
Vidu Q2 视频生成产品	model: q2-pro, type: img2video / start-end2video, resolution: 720P	起始 15.82，+10.55/sec	视频
Vidu Q2 视频生成产品	model: q2-pro, type: img2video / start-end2video, resolution: 1080P	起始 58.03，+15.82/sec	视频
Vidu Q2 视频生成产品	model: q2-pro-fast, type: img2video / start-end2video, resolution: 720P	起始 8.44，+2.11/sec	视频
Vidu Q2 视频生成产品	model: q2-pro-fast, type: img2video / start-end2video, resolution: 1080P	起始 16.88，+4.22/sec	视频
Vidu Q2 视频生成产品	model: q2, type: text2video, resolution: 540P	起始 10.55，+2.11/sec	视频
Vidu Q2 视频生成产品	model: q2, type: text2video, resolution: 720P	起始 15.82，+5.28/sec	视频
Vidu Q2 视频生成产品	model: q2, type: text2video, resolution: 1080P	起始 21.1，+10.55/sec	视频
Vidu Q2 视频生成产品	model: q2, type: reference2video, resolution: 540P	起始 15.82，+5.28/sec	视频
Vidu Q2 视频生成产品	model: q2, type: reference2video, resolution: 720P	起始 26.38，+5.28/sec	视频
Vidu Q2 视频生成产品	model: q2, type: reference2video, resolution: 1080P	起始 79.12，+10.55/sec	视频
Vidu Q2 视频生成产品	model: q2-pro, type: reference2video, resolution: 540P	起始 21.1，+5.28/sec	视频
Vidu Q2 视频生成产品	model: q2-pro, type: reference2video, resolution: 720P	起始 31.65，+5.28/sec	视频
Vidu Q2 视频生成产品	model: q2-pro, type: reference2video, resolution: 1080P	起始 89.67，+10.55/sec	视频

视频生成 — Q1

产品名称	配置	积分	类别
Vidu Q1 视频生成产品	model: vidu-q1, type: reference2video, style: general, duration: 5s, resolution: 1080P	84.4 / 次	视频
Vidu Q1 视频生成产品	model: vidu-q1, type: img2video, style: general, duration: 5s, resolution: 1080P	84.4 / 次	视频
Vidu Q1 视频生成产品	model: vidu-q1, type: start-end2video, style: general, duration: 5s, resolution: 1080P	84.4 / 次	视频
Vidu Q1 视频生成产品	model: vidu-q1, type: text2video, style: general, duration: 5s, resolution: 1080P	84.4 / 次	视频
Vidu Q1 视频生成产品	model: vidu-q1, type: text2video, style: anime, duration: 5s, resolution: 1080P	84.4 / 次	视频

视频生成 — Vidu 2.0

产品名称	配置	积分	类别
Vidu 2.0 视频生成产品	model: vidu-2.0, type: img2video, duration: 4S, resolution: 360P	21.1 / 次	视频
Vidu 2.0 视频生成产品	model: vidu-2.0, type: img2video, duration: 4S, resolution: 720P	42.2 / 次	视频
Vidu 2.0 视频生成产品	model: vidu-2.0, type: img2video, duration: 4S, resolution: 1080P	105.5 / 次	视频
Vidu 2.0 视频生成产品	model: vidu-2.0, type: img2video, duration: 8S, resolution: 720P	105.5 / 次	视频
Vidu 2.0 视频生成产品	model: vidu-2.0, type: reference2video, duration: 4S, resolution: 360P	84.4 / 次	视频
Vidu 2.0 视频生成产品	model: vidu-2.0, type: reference2video, duration: 4S, resolution: 720P	84.4 / 次	视频
Vidu 2.0 视频生成产品	model: vidu-2.0, type: start-end2video, duration: 4S, resolution: 360P	21.1 / 次	视频
Vidu 2.0 视频生成产品	model: vidu-2.0, type: start-end2video, duration: 4S, resolution: 720P	42.2 / 次	视频
Vidu 2.0 视频生成产品	model: vidu-2.0, type: start-end2video, duration: 4S, resolution: 1080P	105.5 / 次	视频
Vidu 2.0 视频生成产品	model: vidu-2.0, type: start-end2video, duration: 8S, resolution: 720P	105.5 / 次	视频

图像生成

产品名称	配置	积分	类别
Vidu 图像生成产品	model: viduq2, type: Text to Image, resolution: 1080P	6.33 / 次	图像
Vidu 图像生成产品	model: viduq2, type: Text to Image, resolution: 2K	8.44 / 次	图像
Vidu 图像生成产品	model: viduq2, type: Text to Image, resolution: 4K	10.55 / 次	图像
Vidu 图像生成产品	model: viduq2, type: Reference to Image, ref images: 1–3, resolution: 1080P	8.44 / 次	图像
Vidu 图像生成产品	model: viduq2, type: Reference to Image, ref images: 1–3, resolution: 2K	12.66 / 次	图像
Vidu 图像生成产品	model: viduq2, type: Reference to Image, ref images: 1–3, resolution: 4K	21.1 / 次	图像
Vidu 图像生成产品	model: viduq2, type: Reference to Image, ref images: 4–7, resolution: 1080P	10.55 / 次	图像
Vidu 图像生成产品	model: viduq2, type: Reference to Image, ref images: 4–7, resolution: 2K	16.88 / 次	图像
Vidu 图像生成产品	model: viduq2, type: Reference to Image, ref images: 4–7, resolution: 4K	31.65 / 次	图像
Vidu 图像生成产品	model: viduq1, type: Reference to Image, ref images: 1–7, resolution: 1080P	21.1 / 次	图像

视频延长

产品名称	配置	积分	类别
Vidu 视频延长产品	model: q2-turbo, resolution: 540P	起始 10.55，+2.11/sec	视频
Vidu 视频延长产品	model: q2-turbo, resolution: 720P	起始 15.82，+5.28/sec	视频
Vidu 视频延长产品	model: q2-turbo, resolution: 1080P	起始 42.2，+10.55/sec	视频
Vidu 视频延长产品	model: q2-pro, resolution: 540P	起始 15.82，+5.28/sec	视频
Vidu 视频延长产品	model: q2-pro, resolution: 720P	起始 31.65，+10.55/sec	视频
Vidu 视频延长产品	model: q2-pro, resolution: 1080P	起始 63.3，+15.82/sec	视频

其他功能

产品名称	配置	积分	类别
Vidu 口型同步产品	—	21.1 / 5秒	视频
Vidu 动作同步产品	—	10.55 / 秒	视频

WAN

产品名称	配置	积分	类别
Wan 图像生成产品	model: wan2.5-i2i-preview	6.33 / 次	图像
Wan 图像生成产品	model: wan2.5-t2i-preview	6.33 / 次	图像
Wan 图像生成产品	model: wan2.6-t2i	6.33 / 次	图像
Wan 视频生成产品	model: wan2.5-i2v-preview, resolution: 1080P	31.65 / 秒	视频
Wan 视频生成产品	model: wan2.5-i2v-preview, resolution: 480P	10.55 / 秒	视频
Wan 视频生成产品	model: wan2.5-i2v-preview, resolution: 720P	21.1 / 秒	视频
Wan 视频生成产品	model: wan2.5-t2v-preview, resolution: 1080P	31.65 / 秒	视频
Wan 视频生成产品	model: wan2.5-t2v-preview, resolution: 480P	10.55 / 秒	视频
Wan 视频生成产品	model: wan2.5-t2v-preview, resolution: 720P	21.1 / 秒	视频
Wan 视频生成产品	model: wan2.6-i2v, resolution: 1080P	31.65 / 秒	视频
Wan 视频生成产品	model: wan2.6-i2v, resolution: 720P	21.1 / 秒	视频
Wan 视频生成产品	model: wan2.6-r2v, resolution: 1080P	31.65 / 秒	视频
Wan 视频生成产品	model: wan2.6-r2v, resolution: 720P	21.1 / 秒	视频
Wan 视频生成产品	model: wan2.6-t2v, resolution: 1080P	31.65 / 秒	视频
Wan 视频生成产品	model: wan2.6-t2v, resolution: 720P	21.1 / 秒	视频
Wan 视频生成产品	model: wan2.7-i2v, resolution: 1080P	31.65 / 秒	视频
Wan 视频生成产品	model: wan2.7-i2v, resolution: 720P	21.1 / 秒	视频
Wan 视频生成产品	model: wan2.7-r2v, resolution: 1080P	31.65 / 秒	视频
Wan 视频生成产品	model: wan2.7-r2v, resolution: 720P	21.1 / 秒	视频
Wan 视频生成产品	model: wan2.7-t2v, resolution: 1080P	31.65 / 秒	视频
Wan 视频生成产品	model: wan2.7-t2v, resolution: 720P	21.1 / 秒	视频
Wan 视频生成产品	model: wan2.7-videoedit, resolution: 1080P	31.65 / 秒	视频
Wan 视频生成产品	model: wan2.7-videoedit, resolution: 720P	21.1 / 秒	视频

Wavespeed

产品名称	配置	积分	类别
Wavespeed Flashvsr	resolution: 1080p	18.99 / run	Image
Wavespeed Flashvsr	resolution: 2k	25.32 / run	Image
Wavespeed Flashvsr	resolution: 4k	33.76 / run	Image
Wavespeed Flashvsr	resolution: 720p	12.66 / run	Image
Wavespeed Image	endpoint: seedvr2	2.11 / run	Image
Wavespeed Image	endpoint: ultimate-image-upscaler	12.66 / run	Image

xAI

视频对经过审核的内容收费。

产品名称	配置	积分	类别
xAI Image Generation	endpoint: v1/images/generations, model: grok-imagine-image-beta, resolution: 1k	6.96 / run	Image
xAI Image Generation	endpoint: v1/images/generations, model: grok-imagine-image-quality, resolution: 1k	10.55 / run	Image
xAI Image Generation	endpoint: v1/images/generations, model: grok-imagine-image-quality, resolution: 2k	14.77 / run	Image
xAI Image Edit Output	endpoint: v1/images/edits, model: grok-imagine-image-beta, resolution: 1k	6.96 / run	Image
xAI Image Edit Output	endpoint: v1/images/edits, model: grok-imagine-image-quality, resolution: 1k	10.55 / run	Image
xAI Image Edit Output	endpoint: v1/images/edits, model: grok-imagine-image-quality, resolution: 2k	14.77 / run	Image
xAI Image Edit Input	endpoint: v1/images/edits, model: grok-imagine-image-beta, resolution: 1k	0.42 / run	Image
xAI Image Edit Input	endpoint: v1/images/edits, model: grok-imagine-image-quality	2.11 / run	Image
xAI Video Generation Output Video Per Second	endpoint: v1/videos/generations, model: grok-imagine-video-beta, resolution: 480p	38.19 / sec	Video
xAI Video Generation Output Video Per Second	endpoint: v1/videos/generations, model: grok-imagine-video-beta, resolution: 720p	38.19 / sec	Video
xAI Video Generation Output Video Per Second	endpoint: v1/videos/generations, model: grok-imagine-video-1.5-preview, resolution: 480p	24.14 / sec	Video
xAI Video Generation Output Video Per Second	endpoint: v1/videos/generations, model: grok-imagine-video-1.5-preview, resolution: 720p	42.24 / sec	Video
xAI Video Generation Input Image	endpoint: v1/videos/generations, model: grok-imagine-video-1.5-preview, type: image-to-video	3.02 / sec	Video
xAI Video Generation Input Image	endpoint: v1/videos/generations, model: grok-imagine-video-beta, resolution: 480p, type: image-to-video	0.42 / sec	Video
xAI Video Generation Input Image	endpoint: v1/videos/generations, model: grok-imagine-video-beta, resolution: 720p, type: image-to-video	0.42 / sec	Video
xAI Video Edit Input+Output Video Per Second	endpoint: v1/videos/edits, model: grok-imagine-video-beta, resolution: 480p	40.3 / sec	Video
xAI Image Edit Input	endpoint: v1/images/edits, model: v1/images/edits, resolution: 1k	0.42 / run	Image
xAI Video Edit Input+Output Video Per Second	endpoint: v1/videos/generations, model: grok-imagine-video-beta, resolution: 480p	40.3 / sec	Video

Other (Cloud)

产品名称	配置	积分	类别
GPU Hours Product	gpu_type: rtx_pro_6000	0.27 / 秒	Image

​Beeble

​BFL

​Anthropic

​Chat (ClaudeNode)

​Bria

​ByteDance

​ElevenLabs

​Freepik

​Google

​HappyHorse

​Hitpaw

​视频增强

​图像增强

​Ideogram

​Krea

​Kling

​Lightricks

​Luma

​Meshy

​Minimax

​Moonvalley

​OpenAI

​DALL·E 2（OpenAIDalle2）

​DALL·E 3（OpenAIDalle3）

​GPT Image 1 / 1.5 / 2（OpenAIGPTImage1）

​对话（OpenAIChatNode）

​Sora 视频（OpenAIVideoSora2）

​OpenRouter

​OpenRouter LLM（OpenRouterLLMNode）

​Pika

​Pixverse

​Quiver

​Recraft

​Reve

​Rodin

​Hyper3D Rodin（Gen-2）

​Hyper3D Rodin Gen-2.5（Rodin3D_Gen25_Image / Rodin3D_Gen25_Text）

​Runway

​Sonilo

​Stability AI

​Tencent

​Topaz

​图像增强

​视频增强

​Tripo

​Vidu

​视频生成 — Q3

​视频生成 — Q2

​视频生成 — Q1

​视频生成 — Vidu 2.0

​图像生成

​视频延长

​其他功能

​WAN

​Wavespeed

​xAI

​Other (Cloud)

Beeble

BFL

Anthropic

Chat (`ClaudeNode`)

Bria

ByteDance

ElevenLabs

Freepik

Google

HappyHorse

Hitpaw

视频增强

图像增强

Ideogram

Krea

Kling

Lightricks

Luma

Meshy

Minimax

Moonvalley

OpenAI

DALL·E 2（`OpenAIDalle2`）

DALL·E 3（`OpenAIDalle3`）

GPT Image 1 / 1.5 / 2（`OpenAIGPTImage1`）

对话（`OpenAIChatNode`）

Sora 视频（`OpenAIVideoSora2`）

OpenRouter

OpenRouter LLM（`OpenRouterLLMNode`）

Pika

Pixverse

Quiver

Recraft

Reve

Rodin

Hyper3D Rodin（Gen-2）

Hyper3D Rodin Gen-2.5（`Rodin3D_Gen25_Image` / `Rodin3D_Gen25_Text`）

Runway

Sonilo

Stability AI

Tencent

Topaz

图像增强

视频增强

Tripo

Vidu

视频生成 — Q3

视频生成 — Q2

视频生成 — Q1

视频生成 — Vidu 2.0

图像生成

视频延长

其他功能

WAN

Wavespeed

xAI

Other (Cloud)