Model comparison

Mistral Large vs Qwen3-4B

Mistral Large and Qwen3-4B score almost the same on the Noometry Index (31.9 vs 31.9), so choose on price, context window or the category you care about most.

Last verified . 4 shared benchmarks.

Mistral Large Mistral AI

31.9

Rank #263 Confirmed

Qwen3-4B Alibaba (Qwen)

31.9

Rank #264 Confirmed

Summary

  • They share 4 benchmarks with published results for both. Mistral Large scores higher in 1 category and Qwen3-4B in 3 categories; 4 gaps are clear of the uncertainty.
  • The widest gap is in math, where Qwen3-4B leads 29.7 to 18.2.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 8.5% for Mistral Large and 52.2% for Qwen3-4B.

Side by side

Mistral Large and Qwen3-4B specifications
Mistral LargeQwen3-4B
ProviderMistral AIAlibaba (Qwen)
Noometry Index31.931.9
Released2024-02-262025-04-29
WeightsOpenOpen
Context window131K—
Max output16K—
Input $ / M tokens$2—
Output $ / M tokens$6—
Results tracked516

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Category by category

Coding Not comparable

Mistral Large: 34.3 (#240), Qwen3-4B: —

Coding benchmarks
BenchmarkMistral LargeQwen3-4B
SciCode36.2%—
BigCodeBench Instruct30%—
LiveBench Coding47.1%—
LMArena Coding1277—
BigCodeBench Complete38.3%—
ALE-Bench264.7—
HumanEval+62.2%—
MBPP+59.5%—

Agentic & Tool Use Mistral Large leads

Mistral Large: 28.6 (#89), Qwen3-4B: 27.6 (#100)

Agentic & Tool Use benchmarks
BenchmarkMistral LargeQwen3-4B
Berkeley Function Calling Leaderboard38.4%35.7%

Reasoning Qwen3-4B leads

Mistral Large: 15.8 (#310), Qwen3-4B: 19.2 (#268)

Reasoning benchmarks
BenchmarkMistral LargeQwen3-4B
SimpleBench22.5%—
CritPt0%—
Chess Puzzles—4%
LiveBench Reasoning43.5%—
LMArena Hard Prompts1257—
DTBench65.1%—
LiveBench Data Analysis50.1%—
LMCA16.7%—
Epoch Capabilities Index128.52—
ForecastBench57.1—
LiveBench48.4%—

Math Qwen3-4B leads

Mistral Large: 18.2 (#291), Qwen3-4B: 29.7 (#240)

Math benchmarks
BenchmarkMistral LargeQwen3-4B
OTIS Mock AIME 2024-20258.5%52.2%
MathArena Final-Answer Competitions—38.5%
Omni-MATH28.1%—
LiveBench Math42.5%—
LMArena Math1262—
MATH Level 550.3%—
FrontierMath (Feb 2025 set)0.3%—

Knowledge Qwen3-4B leads

Mistral Large: 30.1 (#230), Qwen3-4B: 33.0 (#208)

Knowledge benchmarks
BenchmarkMistral LargeQwen3-4B
GPQA Diamond51.3%52.3%
Vectara Hallucination Rate4.5%5.7%
MMLU-Pro59.9%—
Confabulations21.4%—
GPQA (HELM)43.5%—
LMArena Expert1232—
MMLU80%—

Multilingual Not comparable

Mistral Large: 40.0 (#219), Qwen3-4B: —

Multilingual benchmarks
BenchmarkMistral LargeQwen3-4B
LMArena Non-English1237—
LMArena Chinese1240—
LMArena French1325—
LMArena German1254—
LMArena Japanese1188—
LMArena Korean1202—
LMArena Russian1257—
LMArena Spanish1268—

Instruction Following Not comparable

Mistral Large: 67.9 (#191), Qwen3-4B: —

Instruction Following benchmarks
BenchmarkMistral LargeQwen3-4B
LiveBench Instruction Following67.9%—
IFEval87.7%—
LMArena Instruction Following1249—

Long Context Not comparable

Mistral Large: 38.3 (#199), Qwen3-4B: —

Long Context benchmarks
BenchmarkMistral LargeQwen3-4B
LMArena Longer Query1261—

Writing & Preference Not comparable

Mistral Large: 40.7 (#242), Qwen3-4B: —

Writing & Preference benchmarks
BenchmarkMistral LargeQwen3-4B
LMArena Text1266—
LMArena Creative Writing1243—
Short-Story Creative Writing69%—
EQ-Bench Creative Writing985—
WildBench80.1%—
LMArena Multi-Turn1260—
LiveBench Language39.4%—

Frequently asked questions

Is Mistral Large better than Qwen3-4B?

Mistral Large and Qwen3-4B score almost the same on the Noometry Index (31.9 vs 31.9), so choose on price, context window or the category you care about most.

How many benchmarks do Mistral Large and Qwen3-4B share?

4 benchmarks have published results for both models. Mistral Large has 51 scored results on Noometry and Qwen3-4B has 6.

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