Model comparison

Mistral Large vs Olmo 3 32b Think

Olmo 3 32b Think is the stronger model overall, scoring 38.7 to 31.9 on the Noometry Index.

Last verified . 14 shared benchmarks.

Mistral Large Mistral AI

31.9

Rank #263 Confirmed

Summary

  • They share 14 benchmarks with published results for both. Mistral Large scores higher in 1 category and Olmo 3 32b Think in 7 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in math, where Olmo 3 32b Think leads 36.5 to 18.2.

Side by side

Mistral Large and Olmo 3 32b Think specifications
Mistral LargeOlmo 3 32b Think
ProviderMistral AIAllen Institute for AI (Ai2)
Noometry Index31.938.7
Released2024-02-26—
WeightsOpenOpen
Context window131K—
Max output16K—
Input $ / M tokens$2—
Output $ / M tokens$6—
Results tracked5114

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Category by category

Coding Olmo 3 32b Think leads

Mistral Large: 34.3 (#240), Olmo 3 32b Think: 38.6 (#172)

Coding benchmarks
BenchmarkMistral LargeOlmo 3 32b Think
LMArena Coding12771319
SciCode36.2%—
BigCodeBench Instruct30%—
LiveBench Coding47.1%—
BigCodeBench Complete38.3%—
ALE-Bench264.7—
HumanEval+62.2%—
MBPP+59.5%—

Agentic & Tool Use Not comparable

Mistral Large: 28.6 (#89), Olmo 3 32b Think: —

Agentic & Tool Use benchmarks
BenchmarkMistral LargeOlmo 3 32b Think
Berkeley Function Calling Leaderboard38.4%—

Reasoning Olmo 3 32b Think leads

Mistral Large: 15.8 (#310), Olmo 3 32b Think: 25.9 (#140)

Reasoning benchmarks
BenchmarkMistral LargeOlmo 3 32b Think
LMArena Hard Prompts12571302
SimpleBench22.5%—
CritPt0%—
LiveBench Reasoning43.5%—
DTBench65.1%—
LiveBench Data Analysis50.1%—
LMCA16.7%—
Epoch Capabilities Index128.52—
ForecastBench57.1—
LiveBench48.4%—

Math Olmo 3 32b Think leads

Mistral Large: 18.2 (#291), Olmo 3 32b Think: 36.5 (#165)

Math benchmarks
BenchmarkMistral LargeOlmo 3 32b Think
LMArena Math12621316
OTIS Mock AIME 2024-20258.5%—
Omni-MATH28.1%—
LiveBench Math42.5%—
MATH Level 550.3%—
FrontierMath (Feb 2025 set)0.3%—

Knowledge Olmo 3 32b Think leads

Mistral Large: 30.1 (#230), Olmo 3 32b Think: 35.0 (#190)

Knowledge benchmarks
BenchmarkMistral LargeOlmo 3 32b Think
LMArena Expert12321273
GPQA Diamond51.3%—
MMLU-Pro59.9%—
Confabulations21.4%—
Vectara Hallucination Rate4.5%—
GPQA (HELM)43.5%—
MMLU80%—

Multilingual Olmo 3 32b Think leads

Mistral Large: 40.0 (#219), Olmo 3 32b Think: 41.2 (#210)

Multilingual benchmarks
BenchmarkMistral LargeOlmo 3 32b Think
LMArena Non-English12371255
LMArena Chinese12401300
LMArena French13251291
LMArena German12541290
LMArena Russian12571254
LMArena Japanese1188—
LMArena Korean1202—
LMArena Spanish1268—

Instruction Following Too close to call

Mistral Large: 67.9 (#191), Olmo 3 32b Think: 67.2 (#198)

Instruction Following benchmarks
BenchmarkMistral LargeOlmo 3 32b Think
LMArena Instruction Following12491275
LiveBench Instruction Following67.9%—
IFEval87.7%—

Long Context Olmo 3 32b Think leads

Mistral Large: 38.3 (#199), Olmo 3 32b Think: 39.4 (#182)

Long Context benchmarks
BenchmarkMistral LargeOlmo 3 32b Think
LMArena Longer Query12611296

Writing & Preference Olmo 3 32b Think leads

Mistral Large: 40.7 (#242), Olmo 3 32b Think: 49.1 (#193)

Writing & Preference benchmarks
BenchmarkMistral LargeOlmo 3 32b Think
LMArena Text12661300
LMArena Creative Writing12431256
LMArena Multi-Turn12601290
Short-Story Creative Writing69%—
EQ-Bench Creative Writing985—
WildBench80.1%—
LiveBench Language39.4%—

Frequently asked questions

Is Mistral Large better than Olmo 3 32b Think?

Olmo 3 32b Think is the stronger model overall, scoring 38.7 to 31.9 on the Noometry Index.

Is Mistral Large or Olmo 3 32b Think better for coding?

Olmo 3 32b Think scores higher on coding benchmarks: 38.6 versus 34.3 in the Noometry coding category.

How many benchmarks do Mistral Large and Olmo 3 32b Think share?

14 benchmarks have published results for both models. Mistral Large has 51 scored results on Noometry and Olmo 3 32b Think has 14.

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