Noometry

Model comparison

Mistral Small vs Qwen1.5-7B

Mistral Small is the stronger model overall, scoring 33.4 to 31.4 on the Noometry Index.

Last verified . 13 shared benchmarks.

Mistral Small Mistral AI

33.4

Rank #243 Confirmed

Qwen1.5-7B Alibaba (Qwen)

31.4

Rank #273 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 52.5 to 29.6.

Side by side

Mistral SmallQwen1.5-7B
ProviderMistral AIAlibaba (Qwen)
Noometry Index33.431.4
Released2024-02-262024-02-04
WeightsOpenOpen
Context window262K—
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: 34.0 (#247), Qwen1.5-7B: 32.2 (#276)

BenchmarkMistral SmallQwen1.5-7B
LMArena Coding13621107
SciCode26.5%—
BigCodeBench Instruct36.1%—
LiveBench Coding36.2%—
BigCodeBench Complete46.6%—
ALE-Bench497.62—

Agentic & Tool Use Not comparable

Mistral Small: 28.1 (#93), Qwen1.5-7B: —

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

Reasoning Too close to call

Mistral Small: 19.8 (#250), Qwen1.5-7B: 20.4 (#240)

BenchmarkMistral SmallQwen1.5-7B
LMArena Hard Prompts13351065
Kagi LLM Benchmark37.8%—
CritPt0%—
LiveBench Reasoning44.8%—
DTBench70.9%—
LiveBench Data Analysis53.7%—
LMCA20.6%—
LiveBench44%—

Math Qwen1.5-7B leads

Mistral Small: 16.4 (#293), Qwen1.5-7B: 31.4 (#224)

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: 31.0 (#222), Qwen1.5-7B: 28.7 (#243)

BenchmarkMistral SmallQwen1.5-7B
LMArena Expert12911055
MMLU68.7%62.6%
GPQA Diamond47.5%—
Vectara Hallucination Rate5.1%—

Multimodal Not comparable

Mistral Small: 33.5 (#96), Qwen1.5-7B: —

BenchmarkMistral SmallQwen1.5-7B
LMArena Vision1142—

Multilingual Mistral Small leads

Mistral Small: 45.5 (#169), Qwen1.5-7B: 28.5 (#271)

BenchmarkMistral SmallQwen1.5-7B
LMArena Non-English13151058
LMArena Chinese13401141
LMArena Russian13241006
LMArena French1337—
LMArena German1340—
LMArena Japanese1275—
LMArena Korean1259—
LMArena Spanish1346—

Instruction Following Mistral Small leads

Mistral Small: 66.4 (#209), Qwen1.5-7B: 54.1 (#281)

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

Long Context Mistral Small leads

Mistral Small: 40.4 (#156), Qwen1.5-7B: 33.1 (#266)

BenchmarkMistral SmallQwen1.5-7B
LMArena Longer Query13271090

Writing & Preference Mistral Small leads

Mistral Small: 52.5 (#171), Qwen1.5-7B: 29.6 (#293)

BenchmarkMistral SmallQwen1.5-7B
LMArena Text13381083
LMArena Creative Writing13051035
LMArena Multi-Turn13441062
LiveBench Language30.5%—

Frequently asked questions

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

Mistral Small is the stronger model overall, scoring 33.4 to 31.4 on the Noometry Index.

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

Mistral Small scores higher on coding benchmarks: 34.0 versus 32.2 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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