Head-to-head · multimodal vs multimodal

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

We compared Llama 4 Maverick and Mistral Large 3 Instruct on price, context window and 12 benchmarks. Llama 4 Maverick has the stronger average benchmark score; Mistral Large 3 Instruct 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 Instruct

Mistral Large 3 Instruct is a multimodal model from Mistral AI. It offers a 400,000-token context window, costs $5.31 per million input tokens and $22.47 per million output tokens, and averages 81.1 across the index's benchmark suite.

Input
$5.31 / 1M
Output
$22.47 / 1M
Context
400,000
Avg score
81.1
Open weights
Yes
Full Mistral Large 3 Instruct page

Specification comparison

SpecLlama 4 MaverickMistral Large 3 InstructEdge
Input price / 1M$5.36$5.31B
Output price / 1M$25.19$22.47B
Context window200,000400,000B
Max output8,19265,536B
Average score81.681.1A
Arena Elo1447.01446.2A
Open weightsYesYesTie

Benchmark comparison

Llama 4 Maverick wins 6, Mistral Large 3 Instruct wins 6, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.

BenchmarkLlama 4 MaverickMistral Large 3 InstructGapWinner
MMLU-Pro84.782.32.4Llama 4 Maverick
GPQA Diamond76.879.83.0Mistral Large 3 Instruct
SWE-bench Verified71.871.90.1Mistral Large 3 Instruct
HumanEval87.384.23.1Llama 4 Maverick
MATH-50082.783.40.7Mistral Large 3 Instruct
AIME 202579.676.23.4Llama 4 Maverick
LiveCodeBench75.775.10.6Llama 4 Maverick
IFEval87.587.60.1Mistral Large 3 Instruct
TruthfulQA82.685.52.9Mistral Large 3 Instruct
HellaSwag88.289.10.9Mistral Large 3 Instruct
MMMU80.476.53.9Llama 4 Maverick
Arena Elo1447.01446.20.8Llama 4 Maverick

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 Instruct costs about $9.60. Mistral Large 3 Instruct is roughly 7% cheaper than Llama 4 Maverick. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.

Mistral Large 3 Instruct has the larger context window at 400,000 tokens, compared with 200,000 for Llama 4 Maverick. That matters for long documents, large codebases and multi-step agent traces.

Verdict

Across 12 shared benchmarks, Llama 4 Maverick wins 6, Mistral Large 3 Instruct wins 6, and 0 are tied. On the index average, Llama 4 Maverick leads Mistral Large 3 Instruct by 0.5 points (81.6 versus 81.1).

The price picture favours Mistral Large 3 Instruct. The context picture favours Mistral Large 3 Instruct. 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 Llama 4 Maverick for quality-sensitive work and Mistral Large 3 Instruct for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.

Choose Llama 4 Maverick if

  • You want the higher average benchmark score in this index.

Choose Mistral Large 3 Instruct if

  • Unit cost matters and you want the cheaper blended price.
  • You need the larger 400,000-token context window.
  • You need the larger 65,536-token output limit.

FAQ

Is Llama 4 Maverick better than Mistral Large 3 Instruct?

On the index average, Llama 4 Maverick leads Mistral Large 3 Instruct by 0.5 points (81.6 versus 81.1). The better choice depends on price, context and your task. Llama 4 Maverick wins 6 benchmarks, Mistral Large 3 Instruct wins 6.

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

Mistral Large 3 Instruct is cheaper on a blended 3:1 basis at about $9.60 per million tokens, versus $10.32 for Llama 4 Maverick.

Which has the larger context window?

Mistral Large 3 Instruct has the larger context window at 400,000 tokens. Llama 4 Maverick has 200,000 tokens.

Are these models open weights?

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

Which should I choose for production?

If you need a single default, start with Llama 4 Maverick for quality-sensitive work and Mistral Large 3 Instruct for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.

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