Mistral: Mistral Medium 3.1

mistralai-medium-3.1

Mistral Medium 3.1 输入 $0.520/百万 token,输出 $2.60/百万 token,上下文 131K,通过兼容 OpenAI 的接口调用。

Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances state-of-the-art reasoning and multimodal performance with 8× lower cost compared to traditional large models, making it suitable for scalable deployments across professional and industrial use cases. The model excels in domains such as coding, STEM reasoning, and enterprise adaptation. It supports hybrid, on-prem, and in-VPC deployments and is optimized for integration into custom workflows. Mistral Medium 3.1 offers competitive accuracy relative to larger models like Claude Sonnet 3.5/3.7, Llama 4 Maverick, and Command R+, while maintaining broad compatibility across deployment environments.

模态

文本 → 文本

输入 / 输出价

$0.520 / $2.60 每 1M

上下文

131K · 最长输出 33K

能力

—

价格

按实际 token 计费,从余额中扣除。人民币按 1 美元 ≈ 7.2 元折算,仅供参考。

计费项美元 / 1M token人民币参考
输入$0.520¥3.74
输出$2.60¥18.72
缓存命中(输入)$0.260¥1.87

试算

拖动滑块估算这个模型的花费。

单次
$0.00364
每天
$1.82
每月(30 天)
$54.60≈ ¥393

Mistral Medium 3.1:输入 $0.52/M · 输出 $2.6/M · 缓存命中 $0.26/M

按这个配置调用
curl https://api.geniusrelaygpt.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "mistralai-medium-3.1", "max_tokens": 800,
       "messages": [{"role": "user", "content": "…"}]}'

接入代码

兼容 OpenAI 接口。把 Base URL 换成 https://api.geniusrelaygpt.com/v1,模型名填 mistralai-medium-3.1。

curl https://api.geniusrelaygpt.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "mistralai-medium-3.1",
    "stream": true,
    "messages": [{"role": "user", "content": "你好"}]
  }'

在客户端里用:Cursor · Cline · 酒馆 · Codex

支持的参数

常用 OpenAI 参数都可以直接传。

temperaturetop_pmax_tokensstreamstoppresence_penaltyfrequency_penaltyseed

常见问题

Mistral Medium 3.1 怎么计费?
输入 $0.520、输出 $2.60 每百万 token,命中缓存的输入按 $0.260 计。每次请求的扣费都能在控制台使用日志里查到。
上下文有多长?
131K token。长对话每一轮都会按全部输入 token 计费,注意控制历史长度。
支持流式输出吗?
支持。请求里加 "stream": true,返回 SSE,格式与 OpenAI 一致。