import requests r = requests.post( "https://api.aimlapi.com/v1/chat/completions", headers={"Authorization": "Bearer " + AIMLAPI_KEY}, json={ "model": "mistralai/mistral-medium-3-5", "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-3-5", "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-3-5","messages":[{"role":"user","content":"Hello!"}]}'
OpenAI-compatible — swap the base URL and it works with your existing SDK.
| Type | Price |
|---|---|
| Input | |
| Output | |
| Benchmark | Score | What it measures | Source | Retrieved |
|---|---|---|---|---|
| SWE-bench Verified | 77.6% | Resolving verified real GitHub issues | Source | July 13, 2026 |
| Intelligence | 14.9 | Composite score across standardised reasoning, knowledge and problem-solving evaluations, measured independently by Artificial Analysis | Source | September 12, 2026 |
| Coding | 46.9 | Composite score across standardised coding evaluations, measured independently by Artificial Analysis | Source | September 12, 2026 |
| Model | Input | Output | Context | Best for |
|---|---|---|---|---|
Medium 3.5 This page | Reasoning + agents | |||
| Reasoning + agents | ||||
| Balanced coding + agents | ||||
| Long-context, multimodal & agentic workflows | ||||
| Reasoning + agents |
Medium 3.5 has a 262,144 tokens context window.
Medium 3.5 takes image, text as input and returns text.
Use mistralai/mistral-medium-3-5 as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
Medium 3.5 is priced at input $2.0631 / 1M tokens, output $10.3155 / 1M tokens.
Yes, Medium 3.5 can stream responses as they are generated.
Yes, Medium 3.5 accepts image input alongside text.
Medium 3.5 was built by Mistral AI.
Yes, it supports function calling, tool use, and parallel tool calls, making it suitable for agentic workflows.
Yes, it includes web search and reasoning capabilities alongside structured output support.