Medium 3.1 API

mistralai/mistral-medium-3.1
Medium 3.1 on AIMLAPI.
Context
131K tokens
Input
$0.55016 / 1M tokens
Output
$2.7508 / 1M tokens

How to use Medium 3.1 API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to mistralai/mistral-medium-3.1.
import requests

r = requests.post(
    "https://api.aimlapi.com/v1/chat/completions",
    headers={"Authorization": "Bearer " + AIMLAPI_KEY},
    json={
      "model": "mistralai/mistral-medium-3.1",
      "messages": [
        {
          "role": "user",
          "content": "Hello!"
        }
      ]
    },
)
print(r.json())
const r = await fetch("https://api.aimlapi.com/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "mistralai/mistral-medium-3.1",
    "messages": [
      {
        "role": "user",
        "content": "Hello!"
      }
    ]
  }),
});
console.log(await r.json());
curl -X POST https://api.aimlapi.com/v1/chat/completions \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"mistralai/mistral-medium-3.1","messages":[{"role":"user","content":"Hello!"}]}'

OpenAI-compatible — swap the base URL and it works with your existing SDK.

Medium 3.1 API Pricing

TypePrice
Input
$0.55016 / 1M tokens
Output
$2.7508 / 1M tokens
Cached input
$0.055016 / 1M tokens

Medium 3.1 Benchmarks

BenchmarkScoreWhat it measuresSourceRetrieved
MMLU-Pro
74.4%
Multi-discipline knowledge + reasoning (harder MMLU)SourceJuly 12, 2026
Intelligence
9.9
Composite score across standardised reasoning, knowledge and problem-solving evaluations, measured independently by Artificial AnalysisSourceSeptember 12, 2026
Coding
20.5
Composite score across standardised coding evaluations, measured independently by Artificial AnalysisSourceSeptember 12, 2026
Math
38.3
Composite score across standardised mathematics evaluations, measured independently by Artificial AnalysisSourceSeptember 12, 2026

Medium 3.1 vs other models

ModelInputOutputContextBest for
Medium 3.1
This page
$0.55016 / 1M tokens
$2.7508 / 1M tokens
131K tokens
Reasoning + agents
$6.5 / 1M tokens
$39 / 1M tokens
1.05M tokens
Reasoning + agents
$2.6 / 1M tokens
$13 / 1M tokens
1M tokens
Balanced coding + agents
$3.9 / 1M tokens
$19.5 / 1M tokens
1M tokens
Long-context, multimodal & agentic workflows
$0.65 / 1M tokens
$3.9 / 1M tokens
1.05M tokens
Reasoning + agents

Frequently asked questions

Medium 3.1 has a 131,072 tokens context window.

Medium 3.1 takes image, text as input and returns text.

Use mistralai/mistral-medium-3.1 as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.

Medium 3.1 is priced at input $0.55016 / 1M tokens, output $2.7508 / 1M tokens, cached input $0.055016 / 1M tokens.

Yes, Medium 3.1 can stream responses as they are generated.

Yes, Medium 3.1 accepts image input alongside text.

Medium 3.1 was built by Mistral AI.

Yes, it includes reasoning as one of its listed capabilities.

Yes, it supports function calling and parallel tool calls.

Start building with Medium 3.1

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