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定价 ​

每次调用都以**积分(credits)**计量。媒体类模型按次扣积分;对话类模型按上游返回的真实 token 数结算。下表由 ModelFold 模型目录自动生成,因此本页不会与 API 实际计费脱节。

积分是怎么算出来的 ​

  • 媒体类(图像 / 视频 / 音频): 积分 = ceil(上游成本 × 1.25),其中按秒计价的上游价按 5 秒折算。
  • 对话类: 积分 = ceil((输入 token × 输入单价 + 输出 token × 输出单价) / 1,000,000)。先预扣、拿到上游真实用量后结算补退。
  • 失败退款: 上游调用失败会自动原路退还积分。

视频生成 ​

模型积分 / 次上游计价单位
bytedance/seedance-1.5-pro11(按描述匹配)
bytedance/seedance-272per second
bytedance/seedance-2-545—
bytedance/seedance-2-5-draft45—
bytedance/seedance-2-fast43per second
bytedance/seedance-2-mini15(按描述匹配)
bytedance/v1-lite-image-to-video13per second
bytedance/v1-lite-text-to-video13per second
bytedance/v1-pro-fast-image-to-video20per video
bytedance/v1-pro-image-to-video18per second
bytedance/v1-pro-text-to-video18per second
google/gemini-omni-flash-1-179per video
grok-imagine-video-1-5-preview15(按描述匹配)
grok-imagine/image-to-video15per second
grok-imagine/text-to-video15per second
hailuo/02-image-to-video-pro72per video
hailuo/02-image-to-video-standard15per video
hailuo/02-text-to-video-pro72per video
hailuo/02-text-to-video-standard38per video
hailuo/2-3-image-to-video-pro57per video
hailuo/2-3-image-to-video-standard38per video
happyhorse-1-1/image-to-video141per second
happyhorse-1-1/reference-to-video141per second
happyhorse-1-1/text-to-video141per second
happyhorse/image-to-video175per second
happyhorse/reference-to-video175per second
happyhorse/text-to-video175per second
happyhorse/video-edit175per second
kling-2.6/image-to-video138per video
kling-2.6/motion-control69(按描述匹配)
kling-2.6/text-to-video69per video
kling-3.0-omni/image-to-video88per second
kling-3.0-omni/reference-to-video88per second
kling-3.0-omni/text-to-video88per second
kling-3.0-omni/transformation125per second
kling-3.0/motion-control125(按描述匹配)
kling-3.0/video45—
kling/ai-avatar-pro100per second
kling/ai-avatar-standard50per second
kling/v2-1-master-image-to-video200per video
kling/v2-1-master-text-to-video200per video
kling/v2-1-pro63per video
kling/v2-1-standard32per video
kling/v2-5-turbo-image-to-video-pro53per video
kling/v2-5-turbo-text-to-video-pro53per video
kling/v3-turbo-image-to-video45—
kling/v3-turbo-text-to-video45—
minimax-h3/image-to-video50per second
minimax-h3/reference-to-video50per second
minimax-h3/text-to-video50per second
omnihuman-1-5169per second
pixverse-v6/image-to-video25per second
pixverse-v6/reference-to-video25per second
pixverse-v6/text-to-video45—
pixverse-v6/transition25per second
topaz/video-upscale45—
vidu-q4/image-to-video45per second
vidu-q4/reference-to-video45per second
volcengine/video-to-video-lip-sync50(按描述匹配)
wan/2-2-a14b-image-to-video-turbo50per second
wan/2-2-a14b-text-to-video-turbo50per second
wan/2-2-animate-move45—
wan/2-2-animate-replace45—
wan/2-5-image-to-video75per video
wan/2-5-text-to-video75per video
wan/2-6-flash-image-to-video25per video
wan/2-6-flash-video-to-video25per video
wan/2-6-image-to-video88per video
wan/2-6-text-to-video88per video
wan/2-6-video-to-video88per video
wan/2-7-image45—
wan/2-7-image-pro15per image
wan/2-7-image-to-video100per second
wan/2-7-r2v100per second
wan/2-7-text-to-video100per second
wan/2-7-videoedit100per second
wan/3-0-video45—
wan/3-0-video-prime45—

图像生成 ​

模型积分 / 次上游计价单位
bytedance/seedream10—
bytedance/seedream-v4-edit7per image
bytedance/seedream-v4-text-to-image7per image
flux-2/flex-image-to-image18per image
flux-2/flex-text-to-image18per image
flux-2/pro-image-to-image7per image
flux-2/pro-text-to-image7per image
gemini-omni-character10—
google/imagen410per request
google/imagen4-fast5per request
google/imagen4-ultra15per image
google/nano-banana10—
google/nano-banana-edit5per image
gpt-image-2-5-flare-image-to-image10—
gpt-image-2-5-flare-text-to-image10—
gpt-image-2-5-sunburst-image-to-image8per image
gpt-image-2-5-sunburst-text-to-image8per image
gpt-image-2-image-to-image8per image
gpt-image-2-text-to-image8per image
gpt-image/1.5-image-to-image5per image
gpt-image/1.5-text-to-image5per image
grok-imagine-image-2-0/image-edit5per image
grok-imagine-image-2-0/segment-edit5per image
grok-imagine-image-2-0/segment-map10—
grok-imagine-image-2-0/text-to-image5per image
grok-imagine/image-to-image5per generation
grok-imagine/text-to-image5per 2 images
ideogram/character15per image
ideogram/character-edit15per image
ideogram/character-remix15per image
ideogram/v3-edit5per image
ideogram/v3-remix5per image
ideogram/v3-text-to-image5per image
nano-banana-210—
nano-banana-2-15(按描述匹配)
nano-banana-2-lite5(按描述匹配)
nano-banana-pro10—
qwen/image-edit7(按描述匹配)
qwen/image-to-image10—
qwen/text-to-image10—
qwen2-1/image-to-image5per image
qwen2-1/text-to-image10—
qwen2/image-edit7per image
qwen2/text-to-image7per image
qwen3/image-to-image1per image
qwen3/pro-image-to-image1per image
qwen3/pro-text-to-image8per image
qwen3/text-to-image6per image
recraft/crisp-upscale1(按描述匹配)
recraft/remove-background2(按描述匹配)
seedream/4.5-edit9per image
seedream/4.5-text-to-image9per image
seedream/5-flash-image-to-image5per image
seedream/5-flash-layer-decomposition5per image
seedream/5-flash-text-to-image5per image
seedream/5-lite-image-to-image7per image
seedream/5-lite-text-to-image7per image
seedream/5-pro-image-to-image1per image
seedream/5-pro-layer-decomposition9per image
seedream/5-pro-text-to-image9per image
topaz/image-upscale10—
z-image10—

对话模型 ​

模型输入(积分 / 百万 token)输出(积分 / 百万 token)
claude-fable-510005000
claude-haiku-4-568.75356.25
claude-haiku-5-51575
claude-opus-4-5356.251787.5
claude-opus-4-6356.251787.5
claude-opus-4-7356.251787.5
claude-opus-4-85002500
claude-opus-55002500
claude-opus-5-54002000
claude-sonnet-4-5212.51068.75
claude-sonnet-4-6212.51068.75
claude-sonnet-5212.51068.75
claude-sonnet-5-52001000
deepseek-v4-1-flash30118.75
gemini-2.5-pro95750
gemini-3-5-flash112.5675
gemini-3-5-flash-openai112.5675
gemini-3-6-flash56.25281.25
gemini-3-6-flash-openai56.25281.25
gemini-3-7-flash56.25281.25
gemini-3-7-flash-openai56.25281.25
gemini-3-8-flash56.25281.25
gemini-3-8-flash-openai56.25281.25
gemini-3-pro125875
gemini-3.1-pro125875
gemini-4-argon2001000
gemini-4-argon-openai2001000
gpt-5-2109.38875
gpt-5-53502100
gpt-5-6-luna1484
gpt-5-6-sol3502100
gpt-5-6-terra140840
gpt-6-1-sol150750
gpt-6-astra7003500
gpt-6-luna7.537.5
gpt-6-sol150750
grok-4-5200600
grok-4-6200600
grok-4-7200600
kimi-k36003000
omnihuman-1-5/human-identification——
omnihuman-1-5/subject-detection——

音频与语音 ​

模型积分 / 次上游计价单位
elevenlabs/text-to-dialogue-v38—
elevenlabs/text-to-speech-multilingual-v215per 1000 characters
elevenlabs/text-to-speech-turbo-2-58per 1000 characters
gemini-omni-audio8—
google/gemini-2-5-pro-tts8—
google/gemini-3-1-flash-tts8—
google/gemini-3-8-flash-lite-tts8—
google/gemini-3-8-flash-tts8—
infinitalk/from-audio8—
wan/2-2-a14b-speech-to-video-turbo8—

目录中标记为 default 的价格,是上游定价表未覆盖该模型时按模态取的起步价,待人工核对。

ModelFold — 一个 API,接入所有主流 AI 模型。