Model comparison

Mistral Medium 3.5 vs Qwen3.5-9B

Mistral Medium 3.5 is the stronger model overall, scoring 40.2 to 33.8 on the Noometry Index. Qwen3.5-9B costs 27× 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

Qwen3.5-9B Alibaba (Qwen)

33.8

Rank #236 Confirmed

Summary

  • They share 1 benchmark with published results for both. Mistral Medium 3.5 scores higher in 2 categories and Qwen3.5-9B in 2 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Qwen3.5-9B leads 46.0 to 40.0.
  • Qwen3.5-9B is cheaper at $0.10 / $0.15 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium 3.5.

Side by side

Mistral Medium 3.5 and Qwen3.5-9B specifications
Mistral Medium 3.5Qwen3.5-9B
ProviderMistral AIAlibaba (Qwen)
Noometry Index40.233.8
Released—2026-02-23
WeightsOpenOpen
Context window262K262K
Max output210K66K
Input $ / M tokens$1.50$0.10
Output $ / M tokens$7.50$0.15
Results tracked2210

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Category by category

Coding Too close to call

Mistral Medium 3.5: 36.0 (#213), Qwen3.5-9B: 35.9 (#217)

Coding benchmarks
BenchmarkMistral Medium 3.5Qwen3.5-9B
LMArena WebDev1264—
SciCode—27.5%
LMArena Coding1461—

Agentic & Tool Use Not comparable

Mistral Medium 3.5: —, Qwen3.5-9B: 14.5 (#151)

Agentic & Tool Use benchmarks
BenchmarkMistral Medium 3.5Qwen3.5-9B
Terminal-Bench—9.2%

Reasoning Qwen3.5-9B leads

Mistral Medium 3.5: 17.3 (#295), Qwen3.5-9B: 23.1 (#182)

Reasoning benchmarks
BenchmarkMistral Medium 3.5Qwen3.5-9B
Epoch Capabilities Index141.35139.46
Kagi LLM Benchmark41.4%—
NYT Connections (extended)12.9%—
CritPt—0.3%
Chess Puzzles—12%
LMArena Hard Prompts1436—
DTBench—71.2%
LMCA—24.5%

Math Mistral Medium 3.5 leads

Mistral Medium 3.5: 39.1 (#113), Qwen3.5-9B: 34.8 (#192)

Math benchmarks
BenchmarkMistral Medium 3.5Qwen3.5-9B
MathArena Final-Answer Competitions—48.5%
OTIS Mock AIME 2024-2025—61.7%
LMArena Math1431—

Knowledge Qwen3.5-9B leads

Mistral Medium 3.5: 40.0 (#126), Qwen3.5-9B: 46.0 (#84)

Knowledge benchmarks
BenchmarkMistral Medium 3.5Qwen3.5-9B
GPQA Diamond—79%
LMArena Expert1432—

Multimodal Not comparable

Mistral Medium 3.5: 38.3 (#65), Qwen3.5-9B: —

Multimodal benchmarks
BenchmarkMistral Medium 3.5Qwen3.5-9B
LMArena Vision1223—

Multilingual Not comparable

Mistral Medium 3.5: 51.9 (#100), Qwen3.5-9B: —

Multilingual benchmarks
BenchmarkMistral Medium 3.5Qwen3.5-9B
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), Qwen3.5-9B: —

Instruction Following benchmarks
BenchmarkMistral Medium 3.5Qwen3.5-9B
LMArena Instruction Following1415—

Long Context Not comparable

Mistral Medium 3.5: 43.2 (#103), Qwen3.5-9B: —

Long Context benchmarks
BenchmarkMistral Medium 3.5Qwen3.5-9B
LMArena Longer Query1415—

Writing & Preference Not comparable

Mistral Medium 3.5: 58.5 (#117), Qwen3.5-9B: —

Writing & Preference benchmarks
BenchmarkMistral Medium 3.5Qwen3.5-9B
LMArena Text1421—
LMArena Creative Writing1374—
EQ-Bench 4993—
LMArena Multi-Turn1423—

Frequently asked questions

Is Mistral Medium 3.5 better than Qwen3.5-9B?

Mistral Medium 3.5 is the stronger model overall, scoring 40.2 to 33.8 on the Noometry Index. Qwen3.5-9B costs 27× 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 Qwen3.5-9B?

Qwen3.5-9B is cheaper. It lists at $0.10 per million input tokens and $0.15 per million output tokens; Mistral Medium 3.5 lists at $1.50 and $7.50.

Is Mistral Medium 3.5 or Qwen3.5-9B better for coding?

They score almost the same on coding (36.0 vs 35.9); test both on your own repository before choosing.

Which has the bigger context window?

Both accept 262K tokens.

How many benchmarks do Mistral Medium 3.5 and Qwen3.5-9B share?

1 benchmark has published results for both models. Mistral Medium 3.5 has 22 scored results on Noometry and Qwen3.5-9B has 10.

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