Model comparison

Mistral Medium 3.5 vs Qwen3.5-Flash

Qwen3.5-Flash is the stronger model overall, scoring 42.5 to 40.2 on the Noometry Index.

Last verified . 18 shared benchmarks.

Mistral Medium 3.5 Mistral AI

40.2

Rank #152 Confirmed

Qwen3.5-Flash Alibaba (Qwen)

42.5

Rank #112 Confirmed

Summary

  • They share 18 benchmarks with published results for both. Mistral Medium 3.5 scores higher in 6 categories and Qwen3.5-Flash in 2 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Qwen3.5-Flash leads 33.7 to 17.3.
  • Qwen3.5-Flash is cheaper at $0.10 / $0.40 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium 3.5.
  • Qwen3.5-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 Qwen3.5-Flash specifications
Mistral Medium 3.5Qwen3.5-Flash
ProviderMistral AIAlibaba (Qwen)
Noometry Index40.242.5
Released—2026-02-23
WeightsOpenProprietary
Context window262K1M
Max output210K66K
Input $ / M tokens$1.50$0.10
Output $ / M tokens$7.50$0.40
Results tracked2232

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Category by category

Coding Mistral Medium 3.5 leads

Mistral Medium 3.5: 36.0 (#213), Qwen3.5-Flash: 34.2 (#242)

Coding benchmarks
BenchmarkMistral Medium 3.5Qwen3.5-Flash
LMArena WebDev12641244
LMArena Coding14611412
ALE-Bench—221.8

Agentic & Tool Use Not comparable

Mistral Medium 3.5: —, Qwen3.5-Flash: —

Agentic & Tool Use benchmarks
BenchmarkMistral Medium 3.5Qwen3.5-Flash
Vending-Bench 2—462.69

Reasoning Qwen3.5-Flash leads

Mistral Medium 3.5: 17.3 (#295), Qwen3.5-Flash: 33.7 (#72)

Reasoning benchmarks
BenchmarkMistral Medium 3.5Qwen3.5-Flash
LMArena Hard Prompts14361403
Epoch Capabilities Index141.35143.98
Kagi LLM Benchmark41.4%—
NYT Connections (extended)12.9%—
Chess Puzzles—21%
Mystery Game Puzzles—20%
DTBench—82.9%
LMCA—29.1%

Math Mistral Medium 3.5 leads

Mistral Medium 3.5: 39.1 (#113), Qwen3.5-Flash: 37.4 (#158)

Math benchmarks
BenchmarkMistral Medium 3.5Qwen3.5-Flash
LMArena Math14311407
FrontierMath (Tiers 1-3)—18.2%
OTIS Mock AIME 2024-2025—84.4%
FrontierMath (Feb 2025 set)—6.2%
FrontierMath Tier 4 (v1)—0%

Knowledge Qwen3.5-Flash leads

Mistral Medium 3.5: 40.0 (#126), Qwen3.5-Flash: 43.2 (#93)

Knowledge benchmarks
BenchmarkMistral Medium 3.5Qwen3.5-Flash
LMArena Expert14321407
GPQA Diamond—82.3%
SimpleQA Verified—20.3%
Vectara Hallucination Rate—10.5%

Multimodal Not comparable

Mistral Medium 3.5: 38.3 (#65), Qwen3.5-Flash: —

Multimodal benchmarks
BenchmarkMistral Medium 3.5Qwen3.5-Flash
LMArena Vision1223—

Multilingual Mistral Medium 3.5 leads

Mistral Medium 3.5: 51.9 (#100), Qwen3.5-Flash: 50.5 (#121)

Multilingual benchmarks
BenchmarkMistral Medium 3.5Qwen3.5-Flash
LMArena Non-English14041385
LMArena Chinese14421446
LMArena French14481412
LMArena German14511390
LMArena Korean13851344
LMArena Russian13951379
LMArena Spanish14091400
LMArena Japanese—1368

Instruction Following Mistral Medium 3.5 leads

Mistral Medium 3.5: 74.6 (#90), Qwen3.5-Flash: 72.6 (#139)

Instruction Following benchmarks
BenchmarkMistral Medium 3.5Qwen3.5-Flash
LMArena Instruction Following14151374

Long Context Too close to call

Mistral Medium 3.5: 43.2 (#103), Qwen3.5-Flash: 42.4 (#124)

Long Context benchmarks
BenchmarkMistral Medium 3.5Qwen3.5-Flash
LMArena Longer Query14151392

Writing & Preference Too close to call

Mistral Medium 3.5: 58.5 (#117), Qwen3.5-Flash: 57.9 (#122)

Writing & Preference benchmarks
BenchmarkMistral Medium 3.5Qwen3.5-Flash
LMArena Text14211397
LMArena Creative Writing13741343
LMArena Multi-Turn14231393
EQ-Bench 4993—

Frequently asked questions

Is Mistral Medium 3.5 better than Qwen3.5-Flash?

Qwen3.5-Flash is the stronger model overall, scoring 42.5 to 40.2 on the Noometry Index.

Which is cheaper, Mistral Medium 3.5 or Qwen3.5-Flash?

Qwen3.5-Flash is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; Mistral Medium 3.5 lists at $1.50 and $7.50.

Is Mistral Medium 3.5 or Qwen3.5-Flash better for coding?

Mistral Medium 3.5 scores higher on coding benchmarks: 36.0 versus 34.2 in the Noometry coding category.

Which has the bigger context window?

Qwen3.5-Flash does, with 1M tokens against 262K.

How many benchmarks do Mistral Medium 3.5 and Qwen3.5-Flash share?

18 benchmarks have published results for both models. Mistral Medium 3.5 has 22 scored results on Noometry and Qwen3.5-Flash has 32.

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