Noometry

Model comparison

Mistral Large vs Qwen1.5-7B

Mistral Large and Qwen1.5-7B score almost the same on the Noometry Index (31.6 vs 30.8), so choose on price, context window or the category you care about most.

Last verified . 13 shared benchmarks.

Mistral Large Mistral AI

31.6

Rank #258 Confirmed

Qwen1.5-7B Alibaba (Qwen)

30.8

Rank #270 Confirmed

Summary

  • They share 13 benchmarks with published results for both. Mistral Large scores higher in 6 categories and Qwen1.5-7B in 2 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in instruction following, where Mistral Large leads 68.1 to 54.4.

Side by side

Mistral LargeQwen1.5-7B
ProviderMistral AIAlibaba (Qwen)
Noometry Index31.630.8
Released2024-02-262024-02-04
WeightsOpenOpen
Context window131K—
Max output16K—
Input $ / M tokens$2—
Output $ / M tokens$6—
Results tracked5113

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Category by category

Coding Mistral Large leads

Mistral Large: 33.8 (#240), Qwen1.5-7B: 31.6 (#271)

BenchmarkMistral LargeQwen1.5-7B
LMArena Coding12771107
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: 28.4 (#83), Qwen1.5-7B: —

BenchmarkMistral LargeQwen1.5-7B
Berkeley Function Calling Leaderboard38.4%—

Reasoning Qwen1.5-7B leads

Mistral Large: 15.4 (#305), Qwen1.5-7B: 19.5 (#237)

BenchmarkMistral LargeQwen1.5-7B
LMArena Hard Prompts12571066
SimpleBench22.5%—
CritPt0%—
LiveBench Reasoning43.5%—
DTBench65.1%—
LiveBench Data Analysis50.1%—
LMCA16.7%—
Epoch Capabilities Index128.52—
ForecastBench57.1—
LiveBench48.4%—

Math Qwen1.5-7B leads

Mistral Large: 17.1 (#285), Qwen1.5-7B: 29.0 (#222)

BenchmarkMistral LargeQwen1.5-7B
LMArena Math12621080
OTIS Mock AIME 2024-20258.5%—
Omni-MATH28.1%—
LiveBench Math42.5%—
MATH Level 550.3%—
FrontierMath (Feb 2025 set)0.3%—

Knowledge Mistral Large leads

Mistral Large: 30.0 (#224), Qwen1.5-7B: 28.2 (#239)

BenchmarkMistral LargeQwen1.5-7B
LMArena Expert12321055
MMLU80%62.6%
GPQA Diamond51.3%—
MMLU-Pro59.9%—
Confabulations21.4%—
Vectara Hallucination Rate4.5%—
GPQA (HELM)43.5%—

Multilingual Mistral Large leads

Mistral Large: 40.1 (#214), Qwen1.5-7B: 28.6 (#266)

BenchmarkMistral LargeQwen1.5-7B
LMArena Non-English12371058
LMArena Chinese12401140
LMArena Russian12571006
LMArena French1324—
LMArena German1254—
LMArena Japanese1187—
LMArena Korean1202—
LMArena Spanish1268—

Instruction Following Mistral Large leads

Mistral Large: 68.1 (#186), Qwen1.5-7B: 54.4 (#276)

BenchmarkMistral LargeQwen1.5-7B
LMArena Instruction Following12491058
LiveBench Instruction Following67.9%—
IFEval87.7%—

Long Context Mistral Large leads

Mistral Large: 38.3 (#194), Qwen1.5-7B: 33.1 (#261)

BenchmarkMistral LargeQwen1.5-7B
LMArena Longer Query12621090

Writing & Preference Mistral Large leads

Mistral Large: 40.9 (#237), Qwen1.5-7B: 29.8 (#288)

BenchmarkMistral LargeQwen1.5-7B
LMArena Text12661084
LMArena Creative Writing12431035
LMArena Multi-Turn12601061
Short-Story Creative Writing69%—
EQ-Bench Creative Writing985—
WildBench80.1%—
LiveBench Language39.4%—

Frequently asked questions

Is Mistral Large better than Qwen1.5-7B?

Mistral Large and Qwen1.5-7B score almost the same on the Noometry Index (31.6 vs 30.8), so choose on price, context window or the category you care about most.

Is Mistral Large or Qwen1.5-7B better for coding?

Mistral Large scores higher on coding benchmarks: 33.8 versus 31.6 in the Noometry coding category.

How many benchmarks do Mistral Large and Qwen1.5-7B share?

13 benchmarks have published results for both models. Mistral Large has 51 scored results on Noometry and Qwen1.5-7B has 13.

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