What is Medium 3 API?
Medium 3 is available through AIMLAPI.
Technical Specifications
- Supported inputs: Image, Text
- Output: Text
- Context window: 131,072 tokens / Max output: —
- Endpoint: /chat/completions
Performance Benchmarks
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Medium 3 API Pricing
- Input: $0.52 / 1M tokens
- Output: $2.6 / 1M tokens
Where to Use Medium 3
Coding and code review
Generate, debug, and review code across languages, reading whole files or repos in a single prompt.
Agentic and multi-step workflows
Reliable tool-calling and instruction-following suit agent loops that plan, call tools, and iterate.
Complex reasoning
Extended reasoning improves reliability on multi-step math, logic, and technical analysis.
Long-document analysis
Summarize and extract from contracts, papers, and reports without aggressive chunking.
Code Sample
[embed]
Measured on the AI/ML API gateway across live traffic. Figures are medians unless stated. Last updated 2026-10-12.
Mistral Medium 3 is documented as suited to coding and debugging, including professional programming work. It is also suited to multimodal understanding and visual tasks such as image captioning, image-to-text transcription, and other visual input processing. The model is documented for long-document understanding and summarization, including tasks that require reading and reasoning over lengthy documents. It is also suited to function calling and agentic workflows, including multi-step automation and enterprise assistant use cases.
import requests r = requests.post( "https://api.aimlapi.com/v1/chat/completions", headers={"Authorization": "Bearer " + AIMLAPI_KEY}, json={ "model": "mistralai/mistral-medium-3", "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", "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","messages":[{"role":"user","content":"Hello!"}]}'
OpenAI-compatible — swap the base URL and it works with your existing SDK.
| Type | Price |
|---|---|
| Input | |
| Output | |
| Cached input |
| Benchmark | Score | What it measures | Source | Retrieved |
|---|---|---|---|---|
| Intelligence | 9 | Composite score across standardised reasoning, knowledge and problem-solving evaluations, measured independently by Artificial Analysis | Source | September 12, 2026 |
| Math | 30.3 | Composite score across standardised mathematics evaluations, measured independently by Artificial Analysis | Source | September 12, 2026 |
| Model | Input | Output | Context | Best for |
|---|---|---|---|---|
Medium 3 This page | Reasoning + agents | |||
| Reasoning + agents | ||||
| Balanced coding + agents | ||||
| Long-context, multimodal & agentic workflows | ||||
| Reasoning + agents |
Medium 3 has a 131,072 tokens context window.
Medium 3 takes image, text as input and returns text.
Use mistralai/mistral-medium-3 as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
Medium 3 is priced at input $0.55016 / 1M tokens, output $2.7508 / 1M tokens, cached input $0.055016 / 1M tokens.
Yes, Medium 3 can stream responses as they are generated.
Yes, Medium 3 accepts image input alongside text.
Medium 3 was built by Mistral AI.
Yes, Medium 3 includes reasoning as one of its listed capabilities.
Yes, Medium 3 supports function calling, tools, and parallel tool calls.
