4,760 个接口 · 10,549 个价格 · 最近采集 2 小时前 · 30 天内 345 条需关注的调价
每个平台公布的每一个价格
采集器定时抓取 8 个平台公开的全部价格（默认每日一次），并完整保存原始页面快照，绝无任何手工篡改。搜索具体模型，即可查看当前各单位下的最低价格。
第 1–26 条，共 26 条
每百万输出 token26
| 平台 | 模型 · 计价项 | 美元 | 平台原文 | 生效于 |
|---|---|---|---|---|
| Fal官方合作 | Isaac 0.1 | $2.17/百万输出最低 | $0.26 per 1M input tokens, $2.17 per 1M output tokens | |
| Fal官方合作 | Isaac 0.1 [OpenAI Compatible Endpoint] | $2.17/百万输出最低 | $0.26 per 1M input tokens, $2.17 per 1M output tokens | |
| Fal平台自部署 | Moondream3 Preview [Caption] | $3.5/百万输出 | Your request will cost $0.40 per million input tokens, and $3.50 per million output tokens. | |
| Fal平台自部署 | Moondream3 Preview [Detect] | $3.5/百万输出 | Your request will cost $0.40 per million input tokens, and $3.50 per million output tokens. | |
| Fal平台自部署 | Moondream3 Preview [Point] | $3.5/百万输出 | Your request will cost $0.40 per million input tokens, and $3.50 per million output tokens. | |
| Fal平台自部署 | Moondream 3 Preview [Query] | $3.5/百万输出 | Your request will cost $0.40 per million input tokens, and $3.50 per million output tokens. | |
| Fal平台自部署 | Moondream3 Preview [Segment] | $3.5/百万输出 | Your request will cost $0.40 per million input tokens, and $3.50 per million output tokens. | |
| Fal官方合作 | Gemini Omni Flash | $21.875/百万输出 | Billing is based on total token consumption. Tokens cost $21.875 per 1 million tokens. For 720p video this costs approximately $0.125 per second of video. | |
| Fal官方合作 | Gemini Omni Flash | $21.875/百万输出 | Billing is based on total token consumption. Input tokens (text/audio/video) cost $1.875 per 1 million tokens. Output tokens cost $21.875 per 1 million tokens. For 720p video this costs approximately $0.13 per second of video. | |
| Fal官方合作 | Gemini Omni Flash图生视频 | $21.875/百万输出 | Billing is based on total token consumption. Input tokens (text/audio/video) cost $1.875 per 1 million tokens. Output tokens cost $21.875 per 1 million tokens. For 720p video this costs approximately $0.13 per second of video. | |
| Fal官方合作 | Gemini Omni Flash图生视频 | $21.875/百万输出 | Billing is based on total token consumption. Input tokens (text/audio/video) cost $1.875 per 1 million tokens. Output tokens cost $21.875 per 1 million tokens. For 720p video this costs approximately $0.13 per second of video. | |
| Fal官方合作 | GPT Image 2 API | $30/百万输出 | Text tokens (per 1M): $5.00 input, $1.25 cached, $10.00 output. Image tokens (per 1M): $8.00 input, $2.00 cached, $30.00 output. Changing the quality parameter significantly affects cost; by default we use high. Adjust it to your preference. See the description at the bottom of this page for more details on how much canonical image sizes cost. Total cost is rounded up to the closest hundredth of a | |
| Fal官方合作 | GPT Image 2.5 Flare Edit图生图与编辑 | $30/百万输出 | Text tokens (per 1M): $5.00 input, $1.25 cached, $10.00 output. Image tokens (per 1M): $8.00 input, $2.00 cached, $30.00 output. Changing the quality parameter significantly affects cost; by default we use high. Adjust it to your preference. See the description at the bottom of this page for more details on how much canonical image sizes cost. Total cost is rounded up to the closest hundredth of a | |
| Fal官方合作 | GPT Image 2.5 Flare Text to Image文生图 | $30/百万输出 | Text tokens (per 1M): $5.00 input, $1.25 cached, $10.00 output. Image tokens (per 1M): $8.00 input, $2.00 cached, $30.00 output. Changing the quality parameter significantly affects cost; by default we use high. Adjust it to your preference. See the description at the bottom of this page for more details on how much canonical image sizes cost. Total cost is rounded up to the closest hundredth of a | |
| Fal官方合作 | GPT Image 2.5 Sunburst Edit 图生图与编辑 | $30/百万输出 | Text tokens (per 1M): $5.00 input, $1.25 cached, $10.00 output. Image tokens (per 1M): $8.00 input, $2.00 cached, $30.00 output. Changing the quality parameter significantly affects cost; by default we use high. Adjust it to your preference. See the description at the bottom of this page for more details on how much canonical image sizes cost. Total cost is rounded up to the closest hundredth of a | |
| Fal官方合作 | GPT Image 2.5 Sunburst Text to Image文生图 | $30/百万输出 | Text tokens (per 1M): $5.00 input, $1.25 cached, $10.00 output. Image tokens (per 1M): $8.00 input, $2.00 cached, $30.00 output. Changing the quality parameter significantly affects cost; by default we use high. Adjust it to your preference. See the description at the bottom of this page for more details on how much canonical image sizes cost. Total cost is rounded up to the closest hundredth of a | |
| Fal官方合作 | GPT Image 2.6 Flare Edit图生图与编辑 | $30/百万输出 | Text tokens (per 1M): $5.00 input, $1.25 cached, $10.00 output. Image tokens (per 1M): $8.00 input, $2.00 cached, $30.00 output. Changing the quality parameter significantly affects cost; by default we use high. Adjust it to your preference. See the description at the bottom of this page for more details on how much canonical image sizes cost. Total cost is rounded up to the closest hundredth of a | |
| Fal官方合作 | GPT Image 2.6 Flare Text to Image文生图 | $30/百万输出 | Text tokens (per 1M): $5.00 input, $1.25 cached, $10.00 output. Image tokens (per 1M): $8.00 input, $2.00 cached, $30.00 output. Changing the quality parameter significantly affects cost; by default we use high. Adjust it to your preference. See the description at the bottom of this page for more details on how much canonical image sizes cost. Total cost is rounded up to the closest hundredth of a | |
| Fal官方合作 | GPT Image 2.6 Sunburst Edit图生图与编辑 | $30/百万输出 | Text tokens (per 1M): $5.00 input, $1.25 cached, $10.00 output. Image tokens (per 1M): $8.00 input, $2.00 cached, $30.00 output. Changing the quality parameter significantly affects cost; by default we use high. Adjust it to your preference. See the description at the bottom of this page for more details on how much canonical image sizes cost. Total cost is rounded up to the closest hundredth of a | |
| Fal官方合作 | GPT Image 2.6 Sunburst Text to Image文生图 | $30/百万输出 | Text tokens (per 1M): $5.00 input, $1.25 cached, $10.00 output. Image tokens (per 1M): $8.00 input, $2.00 cached, $30.00 output. Changing the quality parameter significantly affects cost; by default we use high. Adjust it to your preference. See the description at the bottom of this page for more details on how much canonical image sizes cost. Total cost is rounded up to the closest hundredth of a | |
| Fal官方合作 | GPT Image 2 API图生图与编辑 | $30/百万输出 | Text tokens (per 1M): $5.00 input, $1.25 cached, $10.00 output. Image tokens (per 1M): $8.00 input, $2.00 cached, $30.00 output. Changing the quality parameter significantly affects cost; by default we use high. Adjust it to your preference. See the description at the bottom of this page for more details on how much canonical image sizes cost. Total cost is rounded up to the closest hundredth of a | |
| Fal官方合作 | Nano Banana 2.1 | $35.294/百万输出 | Text/thinking tokens (per 1M): $1.764 input, $8.823 output. Image tokens (per 1M): $1.764 input, $35.294 output. Changing the resolution parameter significantly affects cost. See the description at the bottom of this page for more details on how much canonical image sizes cost. | |
| Fal官方合作 | Nano Banana 2.1 Edit图生图与编辑 | $35.294/百万输出 | Text/thinking tokens (per 1M): $1.764 input, $8.823 output. Image tokens (per 1M): $1.764 input, $35.294 output. Changing the resolution parameter significantly affects cost; by default we use 1K. See the description at the bottom of this page for more details on how much canonical image sizes cost. | |
| Fal官方合作 | Nano Banana 2 Lite | $37.5/百万输出 | Text tokens (per 1M): $0.3125 input, $1.875 output. Image tokens (per 1M): $0.3125 input, $37.50 output. Output images are generated at a fixed 1K (1024x1024px) | |
| Fal官方合作 | Nano Banana Lite | $37.5/百万输出 | Text tokens (per 1M): $0.3125 input, $1.875 output. Image tokens (per 1M): $0.3125 input, $37.50 output. Output images are generated at a fixed 1K (1024x1024px) | |
| Fal官方合作 | Nano Banana Lite Edit图生图与编辑 | $37.5/百万输出 | Text tokens (per 1M): $0.3125 input, $1.875 output. Image tokens (per 1M): $0.3125 input, $37.50 output. Output images are generated at a fixed 1K (1024x1024px) |
