Noometry

Model comparison

Mistral Small vs Qwen1.5-7B

Mistral Small is the stronger model overall, scoring 33.1 to 30.8 on the Noometry Index.

Last verified . 13 shared benchmarks.

Mistral Small Mistral AI

33.1

Rank #238 Confirmed

Qwen1.5-7B Alibaba (Qwen)

30.8

Rank #270 Confirmed

Summary

  • They share 13 benchmarks with published results for both. Mistral Small scores higher in 6 categories and Qwen1.5-7B in 2 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Mistral Small leads 52.6 to 29.8.

Side by side

Mistral SmallQwen1.5-7B
ProviderMistral AIAlibaba (Qwen)
Noometry Index33.130.8
Released2024-02-262024-02-04
WeightsOpenOpen
Context window256K—
Max output256K—
Input $ / M tokens$0.15—
Output $ / M tokens$0.60—
Results tracked3913

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Category by category

Coding Mistral Small leads

Mistral Small: 33.5 (#242), Qwen1.5-7B: 31.6 (#271)

BenchmarkMistral SmallQwen1.5-7B
LMArena Coding13631107
SciCode26.5%—
BigCodeBench Instruct36.1%—
LiveBench Coding36.2%—
BigCodeBench Complete46.6%—
ALE-Bench497.62—

Agentic & Tool Use Not comparable

Mistral Small: 27.9 (#87), Qwen1.5-7B: —

BenchmarkMistral SmallQwen1.5-7B
Berkeley Function Calling Leaderboard37.1%—

Reasoning Too close to call

Mistral Small: 19.3 (#238), Qwen1.5-7B: 19.5 (#237)

BenchmarkMistral SmallQwen1.5-7B
LMArena Hard Prompts13361066
Kagi LLM Benchmark37.8%—
CritPt0%—
LiveBench Reasoning44.8%—
DTBench70.9%—
LiveBench Data Analysis53.7%—
LMCA20.6%—
LiveBench44%—

Math Qwen1.5-7B leads

Mistral Small: 15.4 (#287), Qwen1.5-7B: 29.0 (#222)

BenchmarkMistral SmallQwen1.5-7B
LMArena Math13411080
OTIS Mock AIME 2024-20255.8%—
LiveBench Math39.9%—
MATH Level 546.8%—

Knowledge Mistral Small leads

Mistral Small: 30.9 (#214), Qwen1.5-7B: 28.2 (#239)

BenchmarkMistral SmallQwen1.5-7B
LMArena Expert12931055
MMLU68.7%62.6%
GPQA Diamond47.5%—
Vectara Hallucination Rate5.1%—

Multimodal Not comparable

Mistral Small: 32.9 (#91), Qwen1.5-7B: —

BenchmarkMistral SmallQwen1.5-7B
LMArena Vision1142—

Multilingual Mistral Small leads

Mistral Small: 45.7 (#164), Qwen1.5-7B: 28.6 (#266)

BenchmarkMistral SmallQwen1.5-7B
LMArena Non-English13151058
LMArena Chinese13421140
LMArena Russian13241006
LMArena French1337—
LMArena German1341—
LMArena Japanese1275—
LMArena Korean1260—
LMArena Spanish1346—

Instruction Following Mistral Small leads

Mistral Small: 66.6 (#204), Qwen1.5-7B: 54.4 (#276)

BenchmarkMistral SmallQwen1.5-7B
LMArena Instruction Following13101058
LiveBench Instruction Following63.7%—

Long Context Mistral Small leads

Mistral Small: 40.4 (#151), Qwen1.5-7B: 33.1 (#261)

BenchmarkMistral SmallQwen1.5-7B
LMArena Longer Query13271090

Writing & Preference Mistral Small leads

Mistral Small: 52.6 (#165), Qwen1.5-7B: 29.8 (#288)

BenchmarkMistral SmallQwen1.5-7B
LMArena Text13381084
LMArena Creative Writing13041035
LMArena Multi-Turn13441061
LiveBench Language30.5%—

Frequently asked questions

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

Mistral Small is the stronger model overall, scoring 33.1 to 30.8 on the Noometry Index.

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

Mistral Small scores higher on coding benchmarks: 33.5 versus 31.6 in the Noometry coding category.

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

13 benchmarks have published results for both models. Mistral Small has 39 scored results on Noometry and Qwen1.5-7B has 13.

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