Model comparison

Mistral Medium 3.5 vs Qwen3.7 Flash

Mistral Medium 3.5 and Qwen3.7 Flash score almost the same on the Noometry Index (40.2 vs 39.9), so choose on price, context window or the category you care about most.

Last verified . 2 shared benchmarks.

Mistral Medium 3.5 Mistral AI

40.2

Rank #152 Confirmed

Qwen3.7 Flash Alibaba (Qwen)

39.9

Rank #156 Confirmed

Summary

  • They share 2 benchmarks with published results for both. Mistral Medium 3.5 scores higher in 1 category and Qwen3.7 Flash in 2 categories; 2 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Qwen3.7 Flash leads 28.2 to 17.3.
  • The biggest single-benchmark swing is NYT Connections (extended): 12.9% for Mistral Medium 3.5 and 43.8% for Qwen3.7 Flash.
  • Qwen3.7 Flash is cheaper at $0.03 / $0.13 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium 3.5.
  • Qwen3.7 Flash accepts more context: 1M tokens versus 262K.
  • Mistral Medium 3.5 has downloadable open weights; the other is API-only.

Side by side

Mistral Medium 3.5 and Qwen3.7 Flash specifications
Mistral Medium 3.5Qwen3.7 Flash
ProviderMistral AIAlibaba (Qwen)
Noometry Index40.239.9
Released—2026-07-15
WeightsOpenProprietary
Context window262K1M
Max output210K131K
Input $ / M tokens$1.50$0.03
Output $ / M tokens$7.50$0.13
Results tracked227

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Category by category

Coding Not comparable

Mistral Medium 3.5: 36.0 (#213), Qwen3.7 Flash: —

Coding benchmarks
BenchmarkMistral Medium 3.5Qwen3.7 Flash
LMArena WebDev1264—
LMArena Coding1461—

Reasoning Qwen3.7 Flash leads

Mistral Medium 3.5: 17.3 (#295), Qwen3.7 Flash: 28.2 (#108)

Reasoning benchmarks
BenchmarkMistral Medium 3.5Qwen3.7 Flash
NYT Connections (extended)12.9%43.8%
Epoch Capabilities Index141.35144.64
Kagi LLM Benchmark41.4%—
Chess Puzzles—23%
LMArena Hard Prompts1436—
Mystery Game Puzzles—15%

Math Too close to call

Mistral Medium 3.5: 39.1 (#113), Qwen3.7 Flash: 38.3 (#140)

Math benchmarks
BenchmarkMistral Medium 3.5Qwen3.7 Flash
FrontierMath (Tiers 1-3)—19.3%
OTIS Mock AIME 2024-2025—86.7%
LMArena Math1431—

Knowledge Qwen3.7 Flash leads

Mistral Medium 3.5: 40.0 (#126), Qwen3.7 Flash: 48.9 (#75)

Knowledge benchmarks
BenchmarkMistral Medium 3.5Qwen3.7 Flash
GPQA Diamond—82.3%
LMArena Expert1432—

Multimodal Not comparable

Mistral Medium 3.5: 38.3 (#65), Qwen3.7 Flash: —

Multimodal benchmarks
BenchmarkMistral Medium 3.5Qwen3.7 Flash
LMArena Vision1223—

Multilingual Not comparable

Mistral Medium 3.5: 51.9 (#100), Qwen3.7 Flash: —

Multilingual benchmarks
BenchmarkMistral Medium 3.5Qwen3.7 Flash
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), Qwen3.7 Flash: —

Instruction Following benchmarks
BenchmarkMistral Medium 3.5Qwen3.7 Flash
LMArena Instruction Following1415—

Long Context Not comparable

Mistral Medium 3.5: 43.2 (#103), Qwen3.7 Flash: —

Long Context benchmarks
BenchmarkMistral Medium 3.5Qwen3.7 Flash
LMArena Longer Query1415—

Writing & Preference Not comparable

Mistral Medium 3.5: 58.5 (#117), Qwen3.7 Flash: —

Writing & Preference benchmarks
BenchmarkMistral Medium 3.5Qwen3.7 Flash
LMArena Text1421—
LMArena Creative Writing1374—
EQ-Bench 4993—
LMArena Multi-Turn1423—

Frequently asked questions

Is Mistral Medium 3.5 better than Qwen3.7 Flash?

Mistral Medium 3.5 and Qwen3.7 Flash score almost the same on the Noometry Index (40.2 vs 39.9), so choose on price, context window or the category you care about most.

Which is cheaper, Mistral Medium 3.5 or Qwen3.7 Flash?

Qwen3.7 Flash is cheaper. It lists at $0.03 per million input tokens and $0.13 per million output tokens; Mistral Medium 3.5 lists at $1.50 and $7.50.

Which has the bigger context window?

Qwen3.7 Flash does, with 1M tokens against 262K.

How many benchmarks do Mistral Medium 3.5 and Qwen3.7 Flash share?

2 benchmarks have published results for both models. Mistral Medium 3.5 has 22 scored results on Noometry and Qwen3.7 Flash has 7.

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