Model comparison

Mistral Medium 3.5 vs Qwen2.5 32B Instruct

Mistral Medium 3.5 is the stronger model overall, scoring 40.2 to 30.1 on the Noometry Index. Qwen2.5 32B Instruct costs 2.4× less per token, which makes it the better buy when Mistral Medium 3.5's lead doesn't matter for your workload.

Last verified . 1 shared benchmarks.

Mistral Medium 3.5 Mistral AI

40.2

Rank #152 Confirmed

Qwen2.5 32B Instruct Alibaba (Qwen)

30.1

Rank #297 Confirmed

Summary

  • They share 1 benchmark with published results for both. Mistral Medium 3.5 scores higher in 2 categories and Qwen2.5 32B Instruct in 2 categories; 4 gaps are clear of the uncertainty.
  • The widest gap is in math, where Mistral Medium 3.5 leads 39.1 to 16.2.
  • Qwen2.5 32B Instruct is cheaper at $0.70 / $2.80 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium 3.5.
  • Mistral Medium 3.5 accepts more context: 262K tokens versus 131K.

Side by side

Mistral Medium 3.5 and Qwen2.5 32B Instruct specifications
Mistral Medium 3.5Qwen2.5 32B Instruct
ProviderMistral AIAlibaba (Qwen)
Noometry Index40.230.1
Released—2024-09
WeightsOpenOpen
Context window262K131K
Max output210K8K
Input $ / M tokens$1.50$0.70
Output $ / M tokens$7.50$2.80
Results tracked227

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Category by category

Coding Qwen2.5 32B Instruct leads

Mistral Medium 3.5: 36.0 (#213), Qwen2.5 32B Instruct: 38.7 (#169)

Coding benchmarks
BenchmarkMistral Medium 3.5Qwen2.5 32B Instruct
LMArena WebDev1264—
BigCodeBench Instruct—45%
LMArena Coding1461—
BigCodeBench Complete—52.3%

Reasoning Qwen2.5 32B Instruct leads

Mistral Medium 3.5: 17.3 (#295), Qwen2.5 32B Instruct: 19.2 (#266)

Reasoning benchmarks
BenchmarkMistral Medium 3.5Qwen2.5 32B Instruct
Epoch Capabilities Index141.35128.52
Kagi LLM Benchmark41.4%—
NYT Connections (extended)12.9%—
Chess Puzzles—0%
LMArena Hard Prompts1436—

Math Mistral Medium 3.5 leads

Mistral Medium 3.5: 39.1 (#113), Qwen2.5 32B Instruct: 16.2 (#296)

Math benchmarks
BenchmarkMistral Medium 3.5Qwen2.5 32B Instruct
OTIS Mock AIME 2024-2025—7.4%
LMArena Math1431—
MATH Level 5—56.1%

Knowledge Mistral Medium 3.5 leads

Mistral Medium 3.5: 40.0 (#126), Qwen2.5 32B Instruct: 24.9 (#266)

Knowledge benchmarks
BenchmarkMistral Medium 3.5Qwen2.5 32B Instruct
GPQA Diamond—46.1%
LMArena Expert1432—

Multimodal Not comparable

Mistral Medium 3.5: 38.3 (#65), Qwen2.5 32B Instruct: —

Multimodal benchmarks
BenchmarkMistral Medium 3.5Qwen2.5 32B Instruct
LMArena Vision1223—

Multilingual Not comparable

Mistral Medium 3.5: 51.9 (#100), Qwen2.5 32B Instruct: —

Multilingual benchmarks
BenchmarkMistral Medium 3.5Qwen2.5 32B Instruct
LMArena Non-English1404—
LMArena Chinese1442—
LMArena French1448—
LMArena German1451—
LMArena Korean1385—
LMArena Russian1395—
LMArena Spanish1409—

Instruction Following Not comparable

Mistral Medium 3.5: 74.6 (#90), Qwen2.5 32B Instruct: —

Instruction Following benchmarks
BenchmarkMistral Medium 3.5Qwen2.5 32B Instruct
LMArena Instruction Following1415—

Long Context Not comparable

Mistral Medium 3.5: 43.2 (#103), Qwen2.5 32B Instruct: —

Long Context benchmarks
BenchmarkMistral Medium 3.5Qwen2.5 32B Instruct
LMArena Longer Query1415—

Writing & Preference Not comparable

Mistral Medium 3.5: 58.5 (#117), Qwen2.5 32B Instruct: —

Writing & Preference benchmarks
BenchmarkMistral Medium 3.5Qwen2.5 32B Instruct
LMArena Text1421—
LMArena Creative Writing1374—
EQ-Bench 4993—
LMArena Multi-Turn1423—

Frequently asked questions

Is Mistral Medium 3.5 better than Qwen2.5 32B Instruct?

Mistral Medium 3.5 is the stronger model overall, scoring 40.2 to 30.1 on the Noometry Index. Qwen2.5 32B Instruct costs 2.4× less per token, which makes it the better buy when Mistral Medium 3.5's lead doesn't matter for your workload.

Which is cheaper, Mistral Medium 3.5 or Qwen2.5 32B Instruct?

Qwen2.5 32B Instruct is cheaper. It lists at $0.70 per million input tokens and $2.80 per million output tokens; Mistral Medium 3.5 lists at $1.50 and $7.50.

Is Mistral Medium 3.5 or Qwen2.5 32B Instruct better for coding?

Qwen2.5 32B Instruct scores higher on coding benchmarks: 38.7 versus 36.0 in the Noometry coding category.

Which has the bigger context window?

Mistral Medium 3.5 does, with 262K tokens against 131K.

How many benchmarks do Mistral Medium 3.5 and Qwen2.5 32B Instruct share?

1 benchmark has published results for both models. Mistral Medium 3.5 has 22 scored results on Noometry and Qwen2.5 32B Instruct has 7.

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