Model comparison

Llama 4 Scout vs Mistral

Mistral is the stronger model overall, scoring 29.9 to 27.7 on the Noometry Index.

Last verified . 22 shared benchmarks.

Llama 4 Scout Meta

27.7

Rank #330 Confirmed

Mistral Mistral AI

29.9

Rank #303 Confirmed

Summary

  • They share 22 benchmarks with published results for both. Llama 4 Scout scores higher in 3 categories and Mistral in 5 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Llama 4 Scout leads 31.9 to 16.6.
  • The biggest single-benchmark swing is MMLU-Pro: 74.2% for Llama 4 Scout and 27.7% for Mistral.
  • Llama 4 Scout has downloadable open weights; the other is API-only.

Side by side

Llama 4 Scout and Mistral specifications
Llama 4 ScoutMistral
ProviderMetaMistral AI
Noometry Index27.729.9
Released2025-04-05—
WeightsOpenProprietary
Context window128K—
Max output4K—
Input $ / M tokens$0.10—
Output $ / M tokens$0.30—
Results tracked4322

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Category by category

Coding Mistral leads

Llama 4 Scout: 20.2 (#339), Mistral: 33.8 (#250)

Coding benchmarks
BenchmarkLlama 4 ScoutMistral
LMArena Coding12861162
SWE-bench Verified (bash only)9.1%—
SciCode17%—
BigCodeBench Complete43.1%—

Agentic & Tool Use Not comparable

Llama 4 Scout: 24.6 (#119), Mistral: —

Agentic & Tool Use benchmarks
BenchmarkLlama 4 ScoutMistral
Berkeley Function Calling Leaderboard28.1%—

Reasoning Mistral leads

Llama 4 Scout: 9.1 (#345), Mistral: 22.2 (#200)

Reasoning benchmarks
BenchmarkLlama 4 ScoutMistral
LMArena Hard Prompts12661149
ARC-AGI-20%—
Kagi LLM Benchmark36.9%—
ARC-AGI-10.5%—
CritPt0%—
DTBench57.9%—
LMCA12%—
Epoch Capabilities Index129.64—
ForecastBench57.5—

Math Mistral leads

Llama 4 Scout: 19.6 (#286), Mistral: 22.3 (#278)

Math benchmarks
BenchmarkLlama 4 ScoutMistral
Omni-MATH37.3%7.2%
LMArena Math12871180
OTIS Mock AIME 2024-20257.8%—
MATH Level 562.3%—
FrontierMath (Feb 2025 set)0%—

Knowledge Llama 4 Scout leads

Llama 4 Scout: 31.9 (#217), Mistral: 16.6 (#288)

Knowledge benchmarks
BenchmarkLlama 4 ScoutMistral
MMLU-Pro74.2%27.7%
GPQA (HELM)50.7%30.3%
LMArena Expert12351125
GPQA Diamond51.8%—
Vectara Hallucination Rate7.7%—

Multimodal Not comparable

Llama 4 Scout: 32.2 (#102), Mistral: —

Multimodal benchmarks
BenchmarkLlama 4 ScoutMistral
LMArena Vision1118—
SpatialViz-Bench34.2%—

Multilingual Llama 4 Scout leads

Llama 4 Scout: 41.0 (#212), Mistral: 32.8 (#254)

Multilingual benchmarks
BenchmarkLlama 4 ScoutMistral
LMArena Non-English12521129
LMArena Chinese12551109
LMArena French12821180
LMArena German12721155
LMArena Japanese12061013
LMArena Korean12071032
LMArena Russian12631168
LMArena Spanish12781143

Instruction Following Llama 4 Scout leads

Llama 4 Scout: 65.8 (#217), Mistral: 52.6 (#288)

Instruction Following benchmarks
BenchmarkLlama 4 ScoutMistral
IFEval81.8%56.8%
LMArena Instruction Following12481152

Long Context Mistral leads

Llama 4 Scout: 27.5 (#294), Mistral: 35.0 (#245)

Long Context benchmarks
BenchmarkLlama 4 ScoutMistral
LMArena Longer Query12651153
Fiction.LiveBench36%—

Writing & Preference Too close to call

Llama 4 Scout: 37.0 (#261), Mistral: 37.0 (#260)

Writing & Preference benchmarks
BenchmarkLlama 4 ScoutMistral
LMArena Text12791165
LMArena Creative Writing12491158
WildBench78%66%
LMArena Multi-Turn12801147
EQ-Bench Creative Writing783—

Frequently asked questions

Is Llama 4 Scout better than Mistral?

Mistral is the stronger model overall, scoring 29.9 to 27.7 on the Noometry Index.

Is Llama 4 Scout or Mistral better for coding?

Mistral scores higher on coding benchmarks: 33.8 versus 20.2 in the Noometry coding category.

How many benchmarks do Llama 4 Scout and Mistral share?

22 benchmarks have published results for both models. Llama 4 Scout has 43 scored results on Noometry and Mistral has 22.

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