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Mistral

Mistral Large

This is Mistral AI's flagship model, Mistral Large 2 (version `mistral-large-2407`). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more.

At a glance

Input / 1M
$2
Output / 1M
$6
Context
128K
Max output
102K
Intelligence
5.8
Released
Feb 2024
Text inputFile inputTool calling

Pricing

Mistral Large API pricing

Per-token rates, plus what common tasks actually cost.

Input tokensPer 1M tokens$2
Output tokensPer 1M tokens$6
Cached input (read)Per 1M tokens$0.20
Cache writePer 1M tokensNot available

Chat message

2K in, 500 out

$7

per 1,000 requests

Coding task

30K in, 4K out

$84

per 1,000 requests

Long document summary

150K in, 2K out

$312

per 1,000 requests

Benchmarks

Mistral Large benchmark scores

Independent scores from Artificial Analysis. Higher is better.

Intelligence index

5.8

Coding index

Not available

Agentic index

Not available

Specs

Context window and capabilities

What it can read, what it can write, and which API features it supports.

Context window
128K tokens
Max output
102K tokens
Input types
File, Text
Output types
Text
Reasoning effort
Not available
Release date
February 26, 2024
Knowledge cutoff
November 30, 2024
  • Tool calling
  • Structured outputs
  • JSON mode
  • Reasoning
  • Temperature
  • Stop sequences
  • Deterministic seed
  • Verbosity control

FAQ

Frequently asked questions

How much does Mistral Large cost?

Mistral Large costs $2 per 1M input tokens and $6 per 1M output tokens through the API. A typical chat message costs about $7 per 1,000 messages.

What is the context window of Mistral Large?

Mistral Large accepts up to 128K tokens of input and can write up to 102K tokens in a single response.

What is the best alternative to Mistral Large?

Mistral Medium 3.1 from Mistral is a strong alternative. It offers: 3x cheaper output, higher intelligence score, larger 131k context.

Can I use Mistral Large alongside other models?

Yes. Shortcut Chat sends one prompt to Mistral Large and any other models you pick at the same time, so you can compare answers side by side.

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Try Mistral Large next to every other model.

Use Mistral Large alongside all the other models. Use one at a time, or multiple together. Get the best answer from every AI.