Model comparison

Mistral Medium 3.5 vs Qwen3 32B

Mistral Medium 3.5 and Qwen3 32B score almost the same on the Noometry Index (40.2 vs 39.2), so choose on price, context window or the category you care about most.

Last verified . 15 shared benchmarks.

Mistral Medium 3.5 Mistral AI

40.2

Rank #152 Confirmed

Qwen3 32B Alibaba (Qwen)

39.2

Rank #172 Confirmed

Summary

  • They share 15 benchmarks with published results for both. Mistral Medium 3.5 scores higher in 3 categories and Qwen3 32B in 5 categories; 5 gaps are clear of the uncertainty.
  • The widest gap is in multilingual, where Mistral Medium 3.5 leads 51.9 to 45.6.
  • The biggest single-benchmark swing is Kagi LLM Benchmark: 41.4% for Mistral Medium 3.5 and 54.9% for Qwen3 32B.
  • Qwen3 32B 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 Qwen3 32B specifications
Mistral Medium 3.5Qwen3 32B
ProviderMistral AIAlibaba (Qwen)
Noometry Index40.239.2
Released—2025-04
WeightsOpenOpen
Context window262K131K
Max output210K16K
Input $ / M tokens$1.50$0.70
Output $ / M tokens$7.50$2.80
Results tracked2226

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Category by category

Coding Qwen3 32B leads

Mistral Medium 3.5: 36.0 (#213), Qwen3 32B: 37.7 (#190)

Coding benchmarks
BenchmarkMistral Medium 3.5Qwen3 32B
LMArena Coding14611358
Aider Polyglot—40%
LMArena WebDev1264—
SciCode—35.4%

Agentic & Tool Use Not comparable

Mistral Medium 3.5: —, Qwen3 32B: 32.6 (#62)

Agentic & Tool Use benchmarks
BenchmarkMistral Medium 3.5Qwen3 32B
Berkeley Function Calling Leaderboard—48.7%

Reasoning Qwen3 32B leads

Mistral Medium 3.5: 17.3 (#295), Qwen3 32B: 20.2 (#241)

Reasoning benchmarks
BenchmarkMistral Medium 3.5Qwen3 32B
Kagi LLM Benchmark41.4%54.9%
LMArena Hard Prompts14361334
Epoch Capabilities Index141.35138.51
NYT Connections (extended)12.9%—
CritPt—0.3%
Chess Puzzles—5%
DTBench—67.5%
LMCA—17.3%

Math Too close to call

Mistral Medium 3.5: 39.1 (#113), Qwen3 32B: 39.7 (#99)

Math benchmarks
BenchmarkMistral Medium 3.5Qwen3 32B
LMArena Math14311399
OTIS Mock AIME 2024-2025—66.9%

Knowledge Too close to call

Mistral Medium 3.5: 40.0 (#126), Qwen3 32B: 40.0 (#125)

Knowledge benchmarks
BenchmarkMistral Medium 3.5Qwen3 32B
LMArena Expert14321362
GPQA Diamond—65.7%
Vectara Hallucination Rate—5.9%

Multimodal Not comparable

Mistral Medium 3.5: 38.3 (#65), Qwen3 32B: —

Multimodal benchmarks
BenchmarkMistral Medium 3.5Qwen3 32B
LMArena Vision1223—

Multilingual Mistral Medium 3.5 leads

Mistral Medium 3.5: 51.9 (#100), Qwen3 32B: 45.6 (#167)

Multilingual benchmarks
BenchmarkMistral Medium 3.5Qwen3 32B
LMArena Non-English14041317
LMArena Chinese14421357
LMArena German14511341
LMArena Russian13951311
LMArena French1448—
LMArena Korean1385—
LMArena Spanish1409—

Instruction Following Mistral Medium 3.5 leads

Mistral Medium 3.5: 74.6 (#90), Qwen3 32B: 68.9 (#179)

Instruction Following benchmarks
BenchmarkMistral Medium 3.5Qwen3 32B
LMArena Instruction Following14151305

Long Context Too close to call

Mistral Medium 3.5: 43.2 (#103), Qwen3 32B: 43.8 (#87)

Long Context benchmarks
BenchmarkMistral Medium 3.5Qwen3 32B
LMArena Longer Query14151327
Fiction.LiveBench—74.2%

Writing & Preference Mistral Medium 3.5 leads

Mistral Medium 3.5: 58.5 (#117), Qwen3 32B: 52.9 (#163)

Writing & Preference benchmarks
BenchmarkMistral Medium 3.5Qwen3 32B
LMArena Text14211340
LMArena Creative Writing13741297
LMArena Multi-Turn14231331
EQ-Bench 4993—

Frequently asked questions

Is Mistral Medium 3.5 better than Qwen3 32B?

Mistral Medium 3.5 and Qwen3 32B score almost the same on the Noometry Index (40.2 vs 39.2), so choose on price, context window or the category you care about most.

Which is cheaper, Mistral Medium 3.5 or Qwen3 32B?

Qwen3 32B 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 Qwen3 32B better for coding?

Qwen3 32B scores higher on coding benchmarks: 37.7 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 Qwen3 32B share?

15 benchmarks have published results for both models. Mistral Medium 3.5 has 22 scored results on Noometry and Qwen3 32B has 26.

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