Model comparison

Mistral Medium 3.5 vs Qwen2.5 7B Instruct

Mistral Medium 3.5 is the stronger model overall, scoring 39.6 to 28.6 on the Noometry Index. Qwen2.5 7B Instruct costs 9.8× 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

39.6

Rank #151 Confirmed

Qwen2.5 7B Instruct Alibaba (Qwen)

28.6

Rank #314 Confirmed

Summary

  • They share 1 benchmark with published results for both. Mistral Medium 3.5 scores higher in 5 categories and Qwen2.5 7B Instruct in 1 category; 5 gaps are clear of the uncertainty.
  • The widest gap is in math, where Mistral Medium 3.5 leads 36.4 to 11.8.
  • Qwen2.5 7B Instruct is cheaper at $0.17 / $0.70 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 Qwen2.5 7B Instruct specifications
Mistral Medium 3.5Qwen2.5 7B Instruct
ProviderMistral AIAlibaba (Qwen)
Noometry Index39.628.6
Released—2024-09
WeightsOpenOpen
Context window262K131K
Max output210K8K
Input $ / M tokens$1.50$0.17
Output $ / M tokens$7.50$0.70
Results tracked2215

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Category by category

Coding Too close to call

Mistral Medium 3.5: 35.7 (#208), Qwen2.5 7B Instruct: 35.9 (#204)

Coding benchmarks
BenchmarkMistral Medium 3.5Qwen2.5 7B Instruct
LMArena WebDev1263—
BigCodeBench Instruct—37.6%
LMArena Coding1461—
BigCodeBench Complete—46.1%

Agentic & Tool Use Not comparable

Mistral Medium 3.5: —, Qwen2.5 7B Instruct: 23.5 (#117)

Agentic & Tool Use benchmarks
BenchmarkMistral Medium 3.5Qwen2.5 7B Instruct
BALROG—7.8%

Reasoning Mistral Medium 3.5 leads

Mistral Medium 3.5: 16.6 (#290), Qwen2.5 7B Instruct: 14.3 (#317)

Reasoning benchmarks
BenchmarkMistral Medium 3.5Qwen2.5 7B Instruct
Epoch Capabilities Index141.42118.44
Kagi LLM Benchmark41.4%—
NYT Connections (extended)12.9%—
Chess Puzzles—0%
LMArena Hard Prompts1436—
DTBench—47.7%
LMCA—6.4%

Math Mistral Medium 3.5 leads

Mistral Medium 3.5: 36.4 (#113), Qwen2.5 7B Instruct: 11.8 (#300)

Math benchmarks
BenchmarkMistral Medium 3.5Qwen2.5 7B Instruct
OTIS Mock AIME 2024-2025—2.5%
Omni-MATH—29.4%
LMArena Math1432—

Knowledge Mistral Medium 3.5 leads

Mistral Medium 3.5: 39.3 (#123), Qwen2.5 7B Instruct: 17.0 (#281)

Knowledge benchmarks
BenchmarkMistral Medium 3.5Qwen2.5 7B Instruct
GPQA Diamond—35.5%
MMLU-Pro—53.9%
GPQA (HELM)—34.1%
LMArena Expert1431—
MMLU—72.9%

Multimodal Not comparable

Mistral Medium 3.5: 37.6 (#64), Qwen2.5 7B Instruct: —

Multimodal benchmarks
BenchmarkMistral Medium 3.5Qwen2.5 7B Instruct
LMArena Vision1222—

Multilingual Not comparable

Mistral Medium 3.5: 52.1 (#93), Qwen2.5 7B Instruct: —

Multilingual benchmarks
BenchmarkMistral Medium 3.5Qwen2.5 7B Instruct
LMArena Non-English1405—
LMArena Chinese1443—
LMArena French1448—
LMArena German1453—
LMArena Korean1387—
LMArena Russian1396—
LMArena Spanish1406—

Instruction Following Mistral Medium 3.5 leads

Mistral Medium 3.5: 74.7 (#87), Qwen2.5 7B Instruct: 63.4 (#226)

Instruction Following benchmarks
BenchmarkMistral Medium 3.5Qwen2.5 7B Instruct
IFEval—74.1%
LMArena Instruction Following1414—

Long Context Not comparable

Mistral Medium 3.5: 43.2 (#101), Qwen2.5 7B Instruct: —

Long Context benchmarks
BenchmarkMistral Medium 3.5Qwen2.5 7B Instruct
LMArena Longer Query1414—

Writing & Preference Mistral Medium 3.5 leads

Mistral Medium 3.5: 58.6 (#113), Qwen2.5 7B Instruct: 48.8 (#194)

Writing & Preference benchmarks
BenchmarkMistral Medium 3.5Qwen2.5 7B Instruct
LMArena Text1421—
LMArena Creative Writing1372—
WildBench—73.1%
EQ-Bench 4993—
LMArena Multi-Turn1423—

Frequently asked questions

Is Mistral Medium 3.5 better than Qwen2.5 7B Instruct?

Mistral Medium 3.5 is the stronger model overall, scoring 39.6 to 28.6 on the Noometry Index. Qwen2.5 7B Instruct costs 9.8× 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 Qwen2.5 7B Instruct?

Qwen2.5 7B Instruct is cheaper. It lists at $0.17 per million input tokens and $0.70 per million output tokens; Mistral Medium 3.5 lists at $1.50 and $7.50.

Is Mistral Medium 3.5 or Qwen2.5 7B Instruct better for coding?

They score almost the same on coding (35.7 vs 35.9); test both on your own repository before choosing.

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 Qwen2.5 7B Instruct share?

1 benchmark has published results for both models. Mistral Medium 3.5 has 22 scored results on Noometry and Qwen2.5 7B Instruct has 15.

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