AI model comparison

Mistral Large 3 2512 vs Llama 4 Maverick

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

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

Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward

Input / 1M
$0.19
Output / 1M
$0.65
Context
1.05M

At a glance

Quick verdict

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

Lower price

meta-llama logo

Llama 4 Maverick

2.5x cheaper for a typical chat

Higher intelligence score

Tie

9.3 vs 9.3 on Artificial Analysis

Larger context window

meta-llama logo

Llama 4 Maverick

1.05M vs 262K tokens

Newer release

mistralai logo

Mistral Large 3 2512

Released December 1, 2025

Benchmarks

Benchmark scores

Independent scores from Artificial Analysis. Higher is better.

Intelligence index

mistralai logoMistral Large 3 25129.3
meta-llama logoLlama 4 Maverick9.3

Coding index

mistralai logoMistral Large 3 251220.1
meta-llama logoLlama 4 Maverick16.3

Agentic index

mistralai logoMistral Large 3 25121
meta-llama logoLlama 4 Maverick0.6

Pricing

Mistral Large 3 2512 vs Llama 4 Maverick API pricing

Per-token API rates. Cheaper option highlighted.

Metricmistralai logoMistral Large 3 2512meta-llama logoLlama 4 Maverick
Input tokensPer 1M tokens$0.50$0.19
Output tokensPer 1M tokens$1.50$0.65
Cached input (read)Per 1M tokens$0.05$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 logoMistral Large 3 2512$1.75
meta-llama logoLlama 4 Maverick$0.70

Coding task

30K in, 4K out

mistralai logoMistral Large 3 2512$21$7.50 cached
meta-llama logoLlama 4 Maverick$8.24$4.11 cached

Long document summary

150K in, 2K out

mistralai logoMistral Large 3 2512$78$10.50 cached
meta-llama logoLlama 4 Maverick$29.43$8.81 cached

Specs

Context window and capabilities

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

Metricmistralai logoMistral Large 3 2512meta-llama logoLlama 4 Maverick
Context window262K tokens1.05M tokens
Max output210K tokens16K tokens
Input typesFile, Image, TextImage, Text
Output typesTextText
Reasoning effort levelsNot availableNot available
Default reasoning effortNot availableNot available
Release dateDecember 1, 2025April 5, 2025

Features

Supported features

API features available for each model.

Metricmistralai logoMistral Large 3 2512meta-llama logoLlama 4 Maverick
Tool callingSupportedSupported
Structured outputsSupportedSupported
JSON modeSupportedSupported
ReasoningNot supportedNot supported
TemperatureSupportedSupported
Stop sequencesSupportedSupported
Deterministic seedSupportedSupported
Verbosity controlNot supportedNot supported

Our take

Llama 4 Maverick is 2.5x cheaper for a typical chat. Llama 4 Maverick has the larger context window (1.05M vs 262K tokens). 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 Mistral Large 3 2512 or Llama 4 Maverick cheaper?

Llama 4 Maverick is cheaper for a typical chat (2K input tokens and 500 output tokens). Llama 4 Maverick costs $0.19 per 1M input tokens and $0.65 per 1M output tokens, while Mistral Large 3 2512 costs $0.50 per 1M input tokens and $1.50 per 1M output tokens.

Which has a bigger context window, Mistral Large 3 2512 or Llama 4 Maverick?

Llama 4 Maverick supports up to 1.05M tokens of context, compared with 262K for Mistral Large 3 2512.

Is Mistral Large 3 2512 smarter than Llama 4 Maverick?

On the Artificial Analysis Intelligence Index, Mistral Large 3 2512 scores 9.3 and Llama 4 Maverick 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 Mistral Large 3 2512 and Llama 4 Maverick at the same time?

Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Mistral Large 3 2512 and Llama 4 Maverick answer side by side and keep the better response.

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Why choose? Ask both.

Send one prompt to Mistral Large 3 2512 and Llama 4 Maverick at the same time. Compare the answers side by side and keep the best one.