Model comparison

Mistral Small 3.1 vs Qwen Turbo

Mistral Small 3.1 is the stronger model overall, scoring 31.4 to 26.8 on the Noometry Index. Qwen Turbo costs 4.6× less per token, which makes it the better buy when Mistral Small 3.1's lead doesn't matter for your workload.

Last verified . 2 shared benchmarks.

Mistral Small 3.1 Mistral AI

31.4

Rank #263 Confirmed

Qwen Turbo Alibaba (Qwen)

26.8

Rank #329 Reported

Summary

  • They share 2 benchmarks with published results for both. Mistral Small 3.1 scores higher in 1 category and Qwen Turbo in 1 category, but none of those gaps is larger than the uncertainty.
  • Qwen Turbo is cheaper at $0.05 / $0.20 per million input/output tokens, against $0.35 / $0.56 for Mistral Small 3.1.
  • Qwen Turbo accepts more context: 1M tokens versus 128K.
  • Mistral Small 3.1 has downloadable open weights; the other is API-only.

Side by side

Mistral Small 3.1 and Qwen Turbo specifications
Mistral Small 3.1Qwen Turbo
ProviderMistral AIAlibaba (Qwen)
Noometry Index31.426.8
Released2025-03-172024-11-01
WeightsOpenProprietary
Context window128K1M
Max output102K16K
Input $ / M tokens$0.35$0.05
Output $ / M tokens$0.56$0.20
Results tracked283

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Category by category

Coding Not comparable

Mistral Small 3.1: 37.7 (#175), Qwen Turbo: —

Coding benchmarks
BenchmarkMistral Small 3.1Qwen Turbo
LMArena Coding1309—

Reasoning Not comparable

Mistral Small 3.1: 18.9 (#249), Qwen Turbo: —

Reasoning benchmarks
BenchmarkMistral Small 3.1Qwen Turbo
Chess Puzzles1%—
LMArena Hard Prompts1278—
Epoch Capabilities Index127.48—

Math Too close to call

Mistral Small 3.1: 13.7 (#295), Qwen Turbo: 14.5 (#291)

Math benchmarks
BenchmarkMistral Small 3.1Qwen Turbo
OTIS Mock AIME 2024-20253.9%6.1%
Omni-MATH24.8%—
LMArena Math1261—
MATH Level 5—56.2%

Knowledge Too close to call

Mistral Small 3.1: 22.6 (#266), Qwen Turbo: 22.2 (#267)

Knowledge benchmarks
BenchmarkMistral Small 3.1Qwen Turbo
GPQA Diamond41.9%41.8%
MMLU-Pro61%—
GPQA (HELM)39.2%—
LMArena Expert1258—

Multimodal Not comparable

Mistral Small 3.1: 32.6 (#93), Qwen Turbo: —

Multimodal benchmarks
BenchmarkMistral Small 3.1Qwen Turbo
LMArena Vision1136—

Multilingual Not comparable

Mistral Small 3.1: 41.4 (#204), Qwen Turbo: —

Multilingual benchmarks
BenchmarkMistral Small 3.1Qwen Turbo
LMArena Non-English1255—
LMArena Chinese1254—
LMArena French1270—
LMArena German1266—
LMArena Japanese1210—
LMArena Korean1206—
LMArena Russian1263—
LMArena Spanish1283—

Instruction Following Not comparable

Mistral Small 3.1: 63.8 (#225), Qwen Turbo: —

Instruction Following benchmarks
BenchmarkMistral Small 3.1Qwen Turbo
IFEval75%—
LMArena Instruction Following1264—

Long Context Not comparable

Mistral Small 3.1: 39.5 (#172), Qwen Turbo: —

Long Context benchmarks
BenchmarkMistral Small 3.1Qwen Turbo
LMArena Longer Query1300—

Writing & Preference Not comparable

Mistral Small 3.1: 37.2 (#254), Qwen Turbo: —

Writing & Preference benchmarks
BenchmarkMistral Small 3.1Qwen Turbo
LMArena Text1278—
LMArena Creative Writing1253—
EQ-Bench Creative Writing761—
WildBench78.8%—
LMArena Multi-Turn1270—

Frequently asked questions

Is Mistral Small 3.1 better than Qwen Turbo?

Mistral Small 3.1 is the stronger model overall, scoring 31.4 to 26.8 on the Noometry Index. Qwen Turbo costs 4.6× less per token, which makes it the better buy when Mistral Small 3.1's lead doesn't matter for your workload.

Which is cheaper, Mistral Small 3.1 or Qwen Turbo?

Qwen Turbo is cheaper. It lists at $0.05 per million input tokens and $0.20 per million output tokens; Mistral Small 3.1 lists at $0.35 and $0.56.

Which has the bigger context window?

Qwen Turbo does, with 1M tokens against 128K.

How many benchmarks do Mistral Small 3.1 and Qwen Turbo share?

2 benchmarks have published results for both models. Mistral Small 3.1 has 28 scored results on Noometry and Qwen Turbo has 3.

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