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Mistral Large 3 2512

Mistral AIReleased Dec 1, 2025

Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apache 2.0 license.

Try in playground
Context window
262K tokens
Input
text, image, file
Output
text
Tokenizer
Mistral
Released
Dec 1, 2025

Pricing

Per 1M tokens. The provider price and our flat 3% fee are separate columns — what you pay is their sum.

Per 1M tokensProvider+ 3% feeYou pay
Input$0.500$0.015$0.515
Output$1.50$0.045$1.54
Cache read$0.050$0.0015$0.052

Benchmarks

Artificial Analysis

Intelligence index
15.9
Coding index
20.1
Agentic index
5.5

Design Arena

CategoryEloWin rateRank
3Dmodels117646.9%#51
ASCII artmodels111540.3%#43
Codemodels119147.6%#56
Data vizmodels118045.8%#55
Game devmodels114641.5%#65
SVGmodels105038%#62
UI componentsmodels115743.1%#59
Websitesmodels120549.4%#53

Head-to-head preference voting. How we filter and rank

Supported parameters

  • frequency_penalty
  • max_tokens
  • presence_penalty
  • response_format
  • seed
  • stop
  • structured_outputs
  • temperature
  • tool_choice
  • tools
  • top_p

Call it

OpenAI-compatible: point your SDK at api.openkey.ai/v1 and use model mistralai/mistral-large-2512.

Code sample language
curl https://api.openkey.ai/v1/chat/completions \
  -H "Authorization: Bearer $OPENKEY_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "mistralai/mistral-large-2512",
    "messages": [{"role": "user", "content": "Hello"}]
  }'
import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.openkey.ai/v1",
    api_key=os.environ["OPENKEY_API_KEY"],
)

completion = client.chat.completions.create(
    model="mistralai/mistral-large-2512",
    messages=[{"role": "user", "content": "Hello"}],
)
print(completion.choices[0].message.content)
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.openkey.ai/v1",
  apiKey: process.env.OPENKEY_API_KEY,
});

const completion = await client.chat.completions.create({
  model: "mistralai/mistral-large-2512",
  messages: [{ role: "user", content: "Hello" }],
});
console.log(completion.choices[0].message.content);

Questions

How much does Mistral Large 3 2512 cost via API?
Through OpenKey, Mistral Large 3 2512 costs $0.515 per 1M input tokens and $1.54 per 1M output tokens. That is the provider price ($0.500 / $1.50) plus a flat 3% fee — nothing else.
What is Mistral Large 3 2512's context window?
Mistral Large 3 2512 accepts up to 262K tokens of context.
Is Mistral Large 3 2512 OpenAI-compatible?
Yes. Send requests to OpenKey's /v1/chat/completions endpoint with model "mistralai/mistral-large-2512" using any OpenAI SDK — only the base URL and API key change.
What inputs does Mistral Large 3 2512 support?
Mistral Large 3 2512 accepts text, image, file input and produces text output.

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