import requests r = requests.post( "https://api.aimlapi.com/v1/chat/completions", headers={"Authorization": "Bearer " + AIMLAPI_KEY}, json={ "model": "mistralai/codestral-2508", "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/codestral-2508", "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/codestral-2508","messages":[{"role":"user","content":"Hello!"}]}'
OpenAI-compatible — swap the base URL and it works with your existing SDK.
| Type | Price |
|---|---|
| Input | |
| Output | |
| Cached input |
| Model | Input | Output | Context | Best for |
|---|---|---|---|---|
Codestral 2508 This page | Reasoning + agents | |||
| Reasoning + agents | ||||
| Balanced coding + agents | ||||
| Long-context, multimodal & agentic workflows | ||||
| Reasoning + agents |
Codestral 2508 has a 256,000 tokens context window.
Codestral 2508 takes image, text as input and returns text.
Use mistralai/codestral-2508 as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
Codestral 2508 is priced at input $0.41262 / 1M tokens, output $1.23786 / 1M tokens, cached input $0.041262 / 1M tokens.
Yes, Codestral 2508 can stream responses as they are generated.
Yes, Codestral 2508 accepts image input alongside text.
Codestral 2508 was built by Mistral AI.
Yes, it supports function calling and tool use, including parallel tool calls.
Yes, web search is listed among its supported features and capabilities.