按量计费 API 单价
按量计费 API 单价
按量计费的官方单价（每 1M tokens）。缓存读与输出单价主导混合成本，所以排序跟随你的缓存命中率，而不是标题上的 input 单价。
按量计费 API 单价
按量计费的官方单价（每 1M tokens），按你当前设置下 1M 混合 token 的实际成本排序。缓存读单价和输出单价对排名的影响远大于标题上的 input 单价。
| 模型 | 厂商 | 输入 | 缓存读 | 输出 | 混合价 /1M |
|---|---|---|---|---|---|
| muse-spark-1.2-contributor | Meta | $0.100 | $0.0020 | $0.200 | $0.0098 |
| muse-spark-1.3-contributor | Meta | $0.100 | $0.0020 | $0.200 | $0.0098 |
| ministral-3b-latest | Mistral | $0.100 | $0.010 | $0.100 | $0.014 |
| gpt-5-nano | OpenAI | $0.050 | $0.0050 | $0.400 | $0.018 |
| devstral-small-latest | Mistral | $0.100 | $0.010 | $0.300 | $0.020 |
| mistral-small | Mistral | $0.100 | $0.010 | $0.300 | $0.020 |
| ministral-8b-latest | Mistral | $0.150 | $0.015 | $0.150 | $0.022 |
| gemini-2.5-flash-lite | $0.100 | $0.010 | $0.400 | $0.023 | |
| voxtral-small-latest | Mistral | $0.100 | $0.010 | $0.400 | $0.023 |
| deepseek-coder | DeepSeek | $0.140 | $0.014 | $0.280 | $0.024 |
| claude-haiku-5-5 | Anthropic | $0.100 | $0.010 | $0.500 | $0.027 |
| gpt-6-luna | OpenAI | $0.100 | $0.010 | $0.500 | $0.027 |
| ministral-14b-latest | Mistral | $0.200 | $0.020 | $0.200 | $0.029 |
| qwen3.8-omni-flash | Alibaba Qwen | $0.150 | $0.016 | $0.470 | $0.032 |
| qwen3.8-flash | Alibaba Qwen | $0.150 | $0.016 | $0.470 | $0.033 |
| magistral-small-latest | Mistral | $0.150 | $0.015 | $0.600 | $0.035 |
| mistral-small-latest | Mistral | $0.150 | $0.015 | $0.600 | $0.035 |
| mistral-vibe-cli-fast | Mistral | $0.150 | $0.015 | $0.600 | $0.035 |
| codestral-mamba-latest | Mistral | $0.250 | $0.025 | $0.250 | $0.036 |
| mistral-tiny | Mistral | $0.250 | $0.025 | $0.250 | $0.036 |
| open-mistral-nemo | Mistral | $0.300 | $0.030 | $0.300 | $0.043 |
| deepseek-v3.2 | DeepSeek | $0.280 | $0.028 | $0.400 | $0.044 |
| gpt-oss-20b | Groq | $0.075 | $0.037 | $0.300 | $0.046 |
| zai-glm-5-3-flash | Mistral | $0.150 | $0.030 | $0.500 | $0.046 |
| glm-5.3-flash | Z.ai | $0.150 | $0.030 | $0.500 | $0.046 |
| deepseek-flash | DeepSeek | $0.300 | $0.0060 | $1.20 | $0.048 |
| deepseek-v4-flash | DeepSeek | $0.300 | $0.0060 | $1.20 | $0.048 |
| deepseek-v4-flash-vision-exp | DeepSeek | $0.300 | $0.0060 | $1.20 | $0.048 |
| deepseek-v4-flash | Alibaba Qwen | $0.200 | $0.040 | $0.400 | $0.054 |
| qwen-turbo | Alibaba Qwen | $0.050 | $0.050 | $0.200 | $0.054 |
| qwen-turbo-latest | Alibaba Qwen | $0.050 | $0.050 | $0.200 | $0.054 |
| gpt-5.6-luna | OpenAI | $0.200 | $0.020 | $1.20 | $0.060 |
| gpt-5.4-nano | OpenAI | $0.200 | $0.020 | $1.25 | $0.060 |
| glm-4.5-air | Z.ai | $0.200 | $0.025 | $1.10 | $0.061 |
| codestral-latest | Mistral | $0.300 | $0.030 | $0.900 | $0.061 |
| mistral-code-fim-latest | Mistral | $0.300 | $0.030 | $0.900 | $0.061 |
| mistral-code-latest | Mistral | $0.300 | $0.030 | $0.900 | $0.061 |
| MiniMax-M2 | MiniMax | $0.300 | $0.030 | $1.20 | $0.072 |
| MiniMax-M2.1 | MiniMax | $0.300 | $0.030 | $1.20 | $0.072 |
| MiniMax-M2.5 | MiniMax | $0.300 | $0.030 | $1.20 | $0.072 |
| gemini-3.1-flash-lite | $0.250 | $0.025 | $1.50 | $0.074 | |
| gpt-5-mini | OpenAI | $0.250 | $0.025 | $2.00 | $0.089 |
| gpt-oss-120b | Groq | $0.150 | $0.075 | $0.600 | $0.092 |
| gpt-4o-mini | OpenAI | $0.150 | $0.075 | $0.600 | $0.092 |
| qwen-plus | Alibaba Qwen | $0.400 | $0.052 | $1.20 | $0.093 |
| MiniMax-M3 | MiniMax | $0.300 | $0.060 | $1.20 | $0.099 |
| llama-3.1-8b | Cerebras | $0.100 | $0.100 | $0.100 | $0.100 |
| llama3.1-8b | Cerebras | $0.100 | $0.100 | $0.100 | $0.100 |
| glm-4-32b-0414-128k | Z.ai | $0.100 | $0.100 | $0.100 | $0.100 |
| gpt-oss-120b | Cerebras | $0.350 | $0.075 | $0.750 | $0.101 |
| mistral-large-3 | Mistral | $0.500 | $0.050 | $1.50 | $0.102 |
| mistral-large-latest | Mistral | $0.500 | $0.050 | $1.50 | $0.102 |
| deepseek-v3 | DeepSeek | $0.270 | $0.070 | $1.10 | $0.105 |
| devstral-latest | Mistral | $0.400 | $0.040 | $2.00 | $0.106 |
| devstral-medium-latest | Mistral | $0.400 | $0.040 | $2.00 | $0.106 |
| mistral-code-agent-latest | Mistral | $0.400 | $0.040 | $2.00 | $0.106 |
| MiniMax-M2.1-lightning | MiniMax | $0.300 | $0.030 | $2.40 | $0.108 |
| MiniMax-M2.5-lightning | MiniMax | $0.300 | $0.030 | $2.40 | $0.108 |
| gemini-2.5-flash | $0.300 | $0.030 | $2.50 | $0.109 | |
| gemini-3.5-flash-lite | $0.300 | $0.030 | $2.50 | $0.109 |
价格校验时间: 2026-10-25 · 0.010 USD / 1M tokens (Meta muse-spark-1.2-contributor)
这样读这些数字
- 套餐不等于 token 单价。同样是 20 美元，买便宜的开源模型能换 15 亿 token，买旗舰模型只有 4000 万；不少套餐对不同模型给的额度还不一样。
- 按请求次数计费的套餐用“每次请求 token 数”换算，因为请求数不是 token 数。这类行属于估算，请按自己的任务规模调整。
- 积分按厂商自己的公式换算（积分 = 加权 token / 除数，并计入峰谷倍率），对该模型是精确的，但会随时间段的峰谷变化。
- Claude、ChatGPT、Cursor、Kimi、MiniMax 完全不公开可换算额度。它们依然留在表里、排在最后并显示价格——诚实的空缺好过编造的数字。
常见问题
为什么有的行有 token 数，有的写“未公开”？
因为套餐卖的不是 token。有的卖美元额度（OpenCode、Command Code、OpenDesign），有的直接给 token 量（Synthetic、Cerebras、百度千帆），有的给厂商积分并按模型倍率抵扣（Z.ai、火山 Agent Plan），有的给请求次数（火山 Coding Plan、阿里百炼），而几家最大的厂商只说“用量”（Claude、ChatGPT、Cursor、Kimi、MiniMax）。额度类型一列标明是哪种，避免把推算值当成官方值。
为什么不直接比每百万 token 的单价？
输入、缓存读、缓存写、输出四档分别计价，各厂商之间的倍率差异可达一个数量级。只有在明确假设下算出的混合单价，才是能横向比较的数字。
我只看某一个模型，怎么用？
先选模型家族（DeepSeek、GLM、Claude、通义千问……），页面就会列出所有转售该家族的厂商、每个套餐多少钱、按你的缓存命中率能换多少 token，以及折算出的混合单价。
token 估算准吗？
请求次数是本页唯一的估算：它乘以一个明确标注、可调整的“每次请求 token 数”。其他换算都用厂商自己公布的数字，每一行都给出源链接供你核对。
这些数据从哪里来？
单价来自 LiteLLM 与 OpenRouter；套餐价格与额度解析自各厂商自己的套餐页（若页面只在浏览器里渲染价格，则用锚点守卫的声明值）。每行都标注校验日期——价格会变，签年付前请自行复核。