Noometry

Model comparison

Mistral vs Mistral Large

Mistral Large is the stronger model overall, scoring 31.6 to 29.4 on the Noometry Index.

Last verified . 22 shared benchmarks.

Mistral Mistral AI

29.4

Rank #297 Confirmed

Mistral Large Mistral AI

31.6

Rank #258 Confirmed

Summary

  • They share 22 benchmarks with published results for both. Mistral scores higher in 2 categories and Mistral Large in 6 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in instruction following, where Mistral Large leads 68.1 to 52.9.
  • The biggest single-benchmark swing is MMLU-Pro: 27.7% for Mistral and 59.9% for Mistral Large.
  • Mistral Large has downloadable open weights; the other is API-only.

Side by side

MistralMistral Large
ProviderMistral AIMistral AI
Noometry Index29.431.6
Released—2024-02-26
WeightsProprietaryOpen
Context window—131K
Max output—16K
Input $ / M tokens—$2
Output $ / M tokens—$6
Results tracked2251

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Category by category

Coding Too close to call

Mistral: 33.2 (#249), Mistral Large: 33.8 (#240)

BenchmarkMistralMistral Large
LMArena Coding11621277
SciCode—36.2%
BigCodeBench Instruct—30%
LiveBench Coding—47.1%
BigCodeBench Complete—38.3%
ALE-Bench—264.7
HumanEval+—62.2%
MBPP+—59.5%

Agentic & Tool Use Not comparable

Mistral: —, Mistral Large: 28.4 (#83)

BenchmarkMistralMistral Large
Berkeley Function Calling Leaderboard—38.4%

Reasoning Mistral leads

Mistral: 21.3 (#199), Mistral Large: 15.4 (#305)

BenchmarkMistralMistral Large
LMArena Hard Prompts11491257
SimpleBench—22.5%
CritPt—0%
LiveBench Reasoning—43.5%
DTBench—65.1%
LiveBench Data Analysis—50.1%
LMCA—16.7%
Epoch Capabilities Index—128.52
ForecastBench—57.1
LiveBench—48.4%

Math Mistral leads

Mistral: 20.5 (#275), Mistral Large: 17.1 (#285)

BenchmarkMistralMistral Large
Omni-MATH7.2%28.1%
LMArena Math11801262
OTIS Mock AIME 2024-2025—8.5%
LiveBench Math—42.5%
MATH Level 5—50.3%
FrontierMath (Feb 2025 set)—0.3%

Knowledge Mistral Large leads

Mistral: 16.3 (#283), Mistral Large: 30.0 (#224)

BenchmarkMistralMistral Large
MMLU-Pro27.7%59.9%
GPQA (HELM)30.3%43.5%
LMArena Expert11251232
GPQA Diamond—51.3%
Confabulations—21.4%
Vectara Hallucination Rate—4.5%
MMLU—80%

Multilingual Mistral Large leads

Mistral: 33.0 (#249), Mistral Large: 40.1 (#214)

BenchmarkMistralMistral Large
LMArena Non-English11291237
LMArena Chinese11091240
LMArena French11791324
LMArena German11551254
LMArena Japanese10121187
LMArena Korean10321202
LMArena Russian11681257
LMArena Spanish11431268

Instruction Following Mistral Large leads

Mistral: 52.9 (#283), Mistral Large: 68.1 (#186)

BenchmarkMistralMistral Large
IFEval56.8%87.7%
LMArena Instruction Following11521249
LiveBench Instruction Following—67.9%

Long Context Mistral Large leads

Mistral: 35.0 (#240), Mistral Large: 38.3 (#194)

BenchmarkMistralMistral Large
LMArena Longer Query11541262

Writing & Preference Mistral Large leads

Mistral: 37.2 (#255), Mistral Large: 40.9 (#237)

BenchmarkMistralMistral Large
LMArena Text11651266
LMArena Creative Writing11581243
WildBench66%80.1%
LMArena Multi-Turn11471260
Short-Story Creative Writing—69%
EQ-Bench Creative Writing—985
LiveBench Language—39.4%

Frequently asked questions

Is Mistral better than Mistral Large?

Mistral Large is the stronger model overall, scoring 31.6 to 29.4 on the Noometry Index.

Is Mistral or Mistral Large better for coding?

They score almost the same on coding (33.2 vs 33.8); test both on your own repository before choosing.

How many benchmarks do Mistral and Mistral Large share?

22 benchmarks have published results for both models. Mistral has 22 scored results on Noometry and Mistral Large has 51.

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