Model comparison

Magistral Medium vs Qwen3.5 27B

Qwen3.5 27B is the stronger model overall, scoring 41.9 to 35.2 on the Noometry Index.

Last verified . 17 shared benchmarks.

Magistral Medium Mistral AI

35.2

Rank #227 Confirmed

Qwen3.5 27B Alibaba (Qwen)

41.9

Rank #127 Confirmed

Summary

  • They share 17 benchmarks with published results for both. Magistral Medium scores higher in 1 category and Qwen3.5 27B in 7 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Qwen3.5 27B leads 27.5 to 8.6.
  • Qwen3.5 27B is cheaper at $0.30 / $2.40 per million input/output tokens, against $2 / $5 for Magistral Medium.

Side by side

Magistral Medium and Qwen3.5 27B specifications
Magistral MediumQwen3.5 27B
ProviderMistral AIAlibaba (Qwen)
Noometry Index35.241.9
Released2025-03-172026-02-23
WeightsOpenOpen
Context window262K262K
Max output16K66K
Input $ / M tokens$2$0.30
Output $ / M tokens$5$2.40
Results tracked2228

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Category by category

Coding Too close to call

Magistral Medium: 39.1 (#161), Qwen3.5 27B: 38.9 (#168)

Coding benchmarks
BenchmarkMagistral MediumQwen3.5 27B
LMArena Coding13191427
LMArena WebDev—1358
SciCode39.2%—
WeirdML—39.5%
ALE-Bench—349.45

Agentic & Tool Use Not comparable

Magistral Medium: —, Qwen3.5 27B: —

Agentic & Tool Use benchmarks
BenchmarkMagistral MediumQwen3.5 27B
Vending-Bench 2—201.98

Reasoning Qwen3.5 27B leads

Magistral Medium: 8.6 (#348), Qwen3.5 27B: 27.5 (#117)

Reasoning benchmarks
BenchmarkMagistral MediumQwen3.5 27B
LMArena Hard Prompts12671414
ARC-AGI-20%—
Kagi LLM Benchmark16.2%—
NYT Connections (extended)—47.9%
ARC-AGI-16.1%—
CritPt0.3%—
Thematic Generalization—45.5%
DTBench—82.4%
LMCA—34%

Math Qwen3.5 27B leads

Magistral Medium: 35.1 (#189), Qwen3.5 27B: 38.8 (#127)

Math benchmarks
BenchmarkMagistral MediumQwen3.5 27B
LMArena Math12501429
MathArena Final-Answer Competitions—56.7%

Knowledge Qwen3.5 27B leads

Magistral Medium: 33.5 (#202), Qwen3.5 27B: 38.0 (#150)

Knowledge benchmarks
BenchmarkMagistral MediumQwen3.5 27B
LMArena Expert12231428
Vectara Hallucination Rate—12.1%

Multimodal Not comparable

Magistral Medium: —, Qwen3.5 27B: 39.4 (#59)

Multimodal benchmarks
BenchmarkMagistral MediumQwen3.5 27B
LMArena Vision—1241

Multilingual Qwen3.5 27B leads

Magistral Medium: 39.6 (#224), Qwen3.5 27B: 50.8 (#115)

Multilingual benchmarks
BenchmarkMagistral MediumQwen3.5 27B
LMArena Non-English12321390
LMArena Chinese12271478
LMArena French12671410
LMArena German12481393
LMArena Japanese11751345
LMArena Korean11251358
LMArena Russian12241390
LMArena Spanish12711407

Instruction Following Qwen3.5 27B leads

Magistral Medium: 66.0 (#211), Qwen3.5 27B: 73.5 (#119)

Instruction Following benchmarks
BenchmarkMagistral MediumQwen3.5 27B
LMArena Instruction Following12541393

Long Context Qwen3.5 27B leads

Magistral Medium: 39.3 (#183), Qwen3.5 27B: 43.1 (#106)

Long Context benchmarks
BenchmarkMagistral MediumQwen3.5 27B
LMArena Longer Query12951413

Writing & Preference Qwen3.5 27B leads

Magistral Medium: 46.3 (#219), Qwen3.5 27B: 59.3 (#111)

Writing & Preference benchmarks
BenchmarkMagistral MediumQwen3.5 27B
LMArena Text12551409
LMArena Creative Writing12451362
LMArena Multi-Turn12751410

Frequently asked questions

Is Magistral Medium better than Qwen3.5 27B?

Qwen3.5 27B is the stronger model overall, scoring 41.9 to 35.2 on the Noometry Index.

Which is cheaper, Magistral Medium or Qwen3.5 27B?

Qwen3.5 27B is cheaper. It lists at $0.30 per million input tokens and $2.40 per million output tokens; Magistral Medium lists at $2 and $5.

Is Magistral Medium or Qwen3.5 27B better for coding?

They score almost the same on coding (39.1 vs 38.9); test both on your own repository before choosing.

Which has the bigger context window?

Both accept 262K tokens.

How many benchmarks do Magistral Medium and Qwen3.5 27B share?

17 benchmarks have published results for both models. Magistral Medium has 22 scored results on Noometry and Qwen3.5 27B has 28.

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