import requests r = requests.post( "https://api.aimlapi.com/v1/chat/completions", headers={"Authorization": "Bearer " + AIMLAPI_KEY}, json={ "model": "mistralai/mistral-small-24b-instruct-2501", "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-small-24b-instruct-2501", "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-small-24b-instruct-2501","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 |
|---|---|---|---|---|
| MMLU-Pro | 66.3% | Multi-discipline knowledge + reasoning (harder MMLU) | Source | July 13, 2026 |
| Model | Input | Output | Context | Best for |
|---|---|---|---|---|
Small 3 This page | Reasoning + agents | |||
| Reasoning + agents | ||||
| Balanced coding + agents | ||||
| Long-context, multimodal & agentic workflows | ||||
| Reasoning + agents |
Small 3 has a 32,768 tokens context window and can return up to 16,384 tokens.
Small 3 takes image, text as input and returns text.
Use mistralai/mistral-small-24b-instruct-2501 as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
Small 3 is priced at input $0.06877 / 1M tokens, output $0.110032 / 1M tokens.
Yes, Small 3 can stream responses as they are generated.
Yes, Small 3 accepts image input alongside text.
Small 3 was built by Mistral AI.
Yes, Small 3 supports function calling as well as parallel tool calls.