AI model comparison

Devstral 2 2512 vs Mistral Large 3 2512

Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.

Devstral 2 is a state-of-the-art open-source model by Mistral AI specializing in agentic coding. It is a 123B-parameter dense transformer model supporting a 256K context window.

Input / 1M
$0.40
Output / 1M
$2
Context
262K

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.

Input / 1M
$0.50
Output / 1M
$1.50
Context
262K

At a glance

Quick verdict

How the two models stack up on the things people ask about most.

Lower price

mistralai logo

Mistral Large 3 2512

1.0x cheaper for a typical chat

Higher intelligence score

mistralai logo

Mistral Large 3 2512

9.3 vs 8.6 on Artificial Analysis

Larger context window

Tie

262K vs 262K tokens

Newer release

mistralai logo

Devstral 2 2512

Released December 9, 2025

Benchmarks

Benchmark scores

Independent scores from Artificial Analysis. Higher is better.

Intelligence index

mistralai logoDevstral 2 25128.6
mistralai logoMistral Large 3 25129.3

Coding index

mistralai logoDevstral 2 251231.3
mistralai logoMistral Large 3 251220.1

Agentic index

mistralai logoDevstral 2 25122.3
mistralai logoMistral Large 3 25121

Pricing

Devstral 2 2512 vs Mistral Large 3 2512 API pricing

Per-token API rates. Cheaper option highlighted.

Metricmistralai logoDevstral 2 2512mistralai logoMistral Large 3 2512
Input tokensPer 1M tokens$0.40$0.50
Output tokensPer 1M tokens$2$1.50
Cached input (read)Per 1M tokens$0.04$0.05
Cache writePer 1M tokensNot availableNot available

What it costs in practice

Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.

Chat message

2K in, 500 out

mistralai logoDevstral 2 2512$1.80
mistralai logoMistral Large 3 2512$1.75

Coding task

30K in, 4K out

mistralai logoDevstral 2 2512$20$9.20 cached
mistralai logoMistral Large 3 2512$21$7.50 cached

Long document summary

150K in, 2K out

mistralai logoDevstral 2 2512$64$10 cached
mistralai logoMistral Large 3 2512$78$10.50 cached

Specs

Context window and capabilities

How much each model can read, how much it can write, and what it accepts as input.

Metricmistralai logoDevstral 2 2512mistralai logoMistral Large 3 2512
Context window262K tokens262K tokens
Max output210K tokens210K tokens
Input typesFile, TextFile, Image, Text
Output typesTextText
Reasoning effort levelsNot availableNot available
Default reasoning effortNot availableNot available
Release dateDecember 9, 2025December 1, 2025

Features

Supported features

API features available for each model.

Metricmistralai logoDevstral 2 2512mistralai logoMistral Large 3 2512
Tool callingSupportedSupported
Structured outputsSupportedSupported
JSON modeSupportedSupported
ReasoningNot supportedNot supported
TemperatureSupportedSupported
Stop sequencesSupportedSupported
Deterministic seedSupportedSupported
Verbosity controlNot supportedNot supported

Our take

Mistral Large 3 2512 is 1.0x cheaper for a typical chat. Mistral Large 3 2512 scores higher on the Artificial Analysis Intelligence Index (9.3 vs 8.6). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.

FAQ

Frequently asked questions

Is Devstral 2 2512 or Mistral Large 3 2512 cheaper?

Mistral Large 3 2512 is cheaper for a typical chat (2K input tokens and 500 output tokens). Mistral Large 3 2512 costs $0.50 per 1M input tokens and $1.50 per 1M output tokens, while Devstral 2 2512 costs $0.40 per 1M input tokens and $2 per 1M output tokens.

Which has a bigger context window, Devstral 2 2512 or Mistral Large 3 2512?

Devstral 2 2512 supports up to 262K tokens of context, compared with 262K for Mistral Large 3 2512.

Is Devstral 2 2512 smarter than Mistral Large 3 2512?

On the Artificial Analysis Intelligence Index, Devstral 2 2512 scores 8.6 and Mistral Large 3 2512 scores 9.3, putting Mistral Large 3 2512 ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.

Can I use Devstral 2 2512 and Mistral Large 3 2512 at the same time?

Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Devstral 2 2512 and Mistral Large 3 2512 answer side by side and keep the better response.

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Why choose? Ask both.

Send one prompt to Devstral 2 2512 and Mistral Large 3 2512 at the same time. Compare the answers side by side and keep the best one.