Head-to-head · multimodal vs multimodal

Llama 4 Maverick vs Mistral Large 3: which model should you choose?

We compared Llama 4 Maverick and Mistral Large 3 on price, context window and 12 benchmarks. Mistral Large 3 has the stronger average benchmark score; Mistral Large 3 is cheaper on a blended 3:1 basis.

Meta AI

Llama 4 Maverick

Llama 4 Maverick is a multimodal model from Meta AI. It offers a 200,000-token context window, costs $5.36 per million input tokens and $25.19 per million output tokens, and averages 81.6 across the index's benchmark suite.

Input
$5.36 / 1M
Output
$25.19 / 1M
Context
200,000
Avg score
81.6
Open weights
Yes
Full Llama 4 Maverick page
Mistral AI

Mistral Large 3

Mistral Large 3 is a multimodal model from Mistral AI. It offers a 128,000-token context window, costs $5.41 per million input tokens and $23.83 per million output tokens, and averages 81.7 across the index's benchmark suite.

Input
$5.41 / 1M
Output
$23.83 / 1M
Context
128,000
Avg score
81.7
Open weights
Yes
Full Mistral Large 3 page

Specification comparison

SpecLlama 4 MaverickMistral Large 3Edge
Input price / 1M$5.36$5.41A
Output price / 1M$25.19$23.83B
Context window200,000128,000A
Max output8,1924,096A
Average score81.681.7B
Arena Elo1447.01448.6B
Open weightsYesYesTie

Benchmark comparison

Llama 4 Maverick wins 5, Mistral Large 3 wins 6, and 1 benchmarks are tied. The table shows the modelled score for each model and the gap.

BenchmarkLlama 4 MaverickMistral Large 3GapWinner
MMLU-Pro84.784.60.1Llama 4 Maverick
GPQA Diamond76.879.62.8Mistral Large 3
SWE-bench Verified71.871.30.5Llama 4 Maverick
HumanEval87.388.61.3Mistral Large 3
MATH-50082.784.11.4Mistral Large 3
AIME 202579.678.31.3Llama 4 Maverick
LiveCodeBench75.774.41.3Llama 4 Maverick
IFEval87.589.82.3Mistral Large 3
TruthfulQA82.683.71.1Mistral Large 3
HellaSwag88.288.20.0Tie
MMMU80.476.24.2Llama 4 Maverick
Arena Elo1447.01448.61.6Mistral Large 3

Price analysis

On a blended 3:1 input-to-output basis, Llama 4 Maverick costs about $10.32 per million tokens and Mistral Large 3 costs about $10.02. Mistral Large 3 is roughly 3% cheaper than Llama 4 Maverick. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.

Llama 4 Maverick has the larger context window at 200,000 tokens, compared with 128,000 for Mistral Large 3. That matters for long documents, large codebases and multi-step agent traces.

Verdict

Across 12 shared benchmarks, Llama 4 Maverick wins 5, Mistral Large 3 wins 6, and 1 are tied. On the index average, Mistral Large 3 leads Llama 4 Maverick by 0.1 points (81.7 versus 81.6).

The price picture favours Mistral Large 3. The context picture favours Llama 4 Maverick. Those two dimensions often matter more than a few benchmark points once a model is good enough for the task.

If you need a single default, start with Mistral Large 3 for quality-sensitive work, and check whether its price holds at your expected volume before committing.

Choose Llama 4 Maverick if

  • You need the larger 200,000-token context window.
  • You need the larger 8,192-token output limit.

Choose Mistral Large 3 if

  • You want the higher average benchmark score in this index.
  • Unit cost matters and you want the cheaper blended price.

FAQ

Is Llama 4 Maverick better than Mistral Large 3?

On the index average, Mistral Large 3 leads Llama 4 Maverick by 0.1 points (81.7 versus 81.6). The better choice depends on price, context and your task. Llama 4 Maverick wins 5 benchmarks, Mistral Large 3 wins 6.

Which is cheaper, Llama 4 Maverick or Mistral Large 3?

Mistral Large 3 is cheaper on a blended 3:1 basis at about $10.02 per million tokens, versus $10.32 for Llama 4 Maverick.

Which has the larger context window?

Llama 4 Maverick has the larger context window at 200,000 tokens. Mistral Large 3 has 128,000 tokens.

Are these models open weights?

Llama 4 Maverick is open weights; Mistral Large 3 is open weights.

Which should I choose for production?

If you need a single default, start with Mistral Large 3 for quality-sensitive work, and check whether its price holds at your expected volume before committing.

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