Model comparison

Mixtral 8x22B vs Qwen Turbo

Mixtral 8x22B and Qwen Turbo score almost the same on the Noometry Index (27.1 vs 27.1), so choose on price, context window or the category you care about most.

Last verified . 2 shared benchmarks.

Mixtral 8x22B Mistral AI

27.1

Rank #333 Confirmed

Qwen Turbo Alibaba (Qwen)

27.1

Rank #335 Reported

Summary

  • They share 2 benchmarks with published results for both. Mixtral 8x22B scores higher in 1 category and Qwen Turbo in 1 category; 2 gaps are clear of the uncertainty.
  • The widest gap is in math, where Mixtral 8x22B leads 22.9 to 15.3.
  • The biggest single-benchmark swing is MATH Level 5: 24.2% for Mixtral 8x22B and 56.2% for Qwen Turbo.
  • Qwen Turbo is cheaper at $0.05 / $0.20 per million input/output tokens, against $2 / $6 for Mixtral 8x22B.
  • Qwen Turbo accepts more context: 1M tokens versus 64K.
  • Mixtral 8x22B has downloadable open weights; the other is API-only.

Side by side

Mixtral 8x22B and Qwen Turbo specifications
Mixtral 8x22BQwen Turbo
ProviderMistral AIAlibaba (Qwen)
Noometry Index27.127.1
Released2024-04-172024-11-01
WeightsOpenProprietary
Context window64K1M
Max output64K16K
Input $ / M tokens$2$0.05
Output $ / M tokens$6$0.20
Results tracked343

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Category by category

Coding Not comparable

Mixtral 8x22B: 24.2 (#329), Qwen Turbo: —

Coding benchmarks
BenchmarkMixtral 8x22BQwen Turbo
WeirdML3.2%—
BigCodeBench Instruct40.6%—
LMArena Coding1166—
BigCodeBench Complete50.2%—
HumanEval+72%—
MBPP+64.3%—

Agentic & Tool Use Not comparable

Mixtral 8x22B: 23.1 (#127), Qwen Turbo: —

Agentic & Tool Use benchmarks
BenchmarkMixtral 8x22BQwen Turbo
Cybench7.5%—

Reasoning Not comparable

Mixtral 8x22B: 19.9 (#248), Qwen Turbo: —

Reasoning benchmarks
BenchmarkMixtral 8x22BQwen Turbo
LMArena Hard Prompts1150—
DTBench55.1%—
Epoch Capabilities Index122.03—
ForecastBench56.3—

Math Mixtral 8x22B leads

Mixtral 8x22B: 22.9 (#275), Qwen Turbo: 15.3 (#297)

Math benchmarks
BenchmarkMixtral 8x22BQwen Turbo
MATH Level 524.2%56.2%
OTIS Mock AIME 2024-2025—6.1%
Omni-MATH16.3%—
LMArena Math1184—

Knowledge Qwen Turbo leads

Mixtral 8x22B: 15.1 (#293), Qwen Turbo: 22.2 (#272)

Knowledge benchmarks
BenchmarkMixtral 8x22BQwen Turbo
GPQA Diamond34.1%41.8%
MMLU-Pro46%—
GPQA (HELM)33.4%—
LMArena Expert1113—
MMLU77.8%—

Multilingual Not comparable

Mixtral 8x22B: 32.8 (#255), Qwen Turbo: —

Multilingual benchmarks
BenchmarkMixtral 8x22BQwen Turbo
LMArena Non-English1128—
LMArena Chinese1116—
LMArena French1166—
LMArena German1141—
LMArena Japanese1037—
LMArena Korean1057—
LMArena Russian1158—
LMArena Spanish1151—

Instruction Following Not comparable

Mixtral 8x22B: 57.7 (#266), Qwen Turbo: —

Instruction Following benchmarks
BenchmarkMixtral 8x22BQwen Turbo
IFEval72.4%—
LMArena Instruction Following1147—

Long Context Not comparable

Mixtral 8x22B: 34.7 (#247), Qwen Turbo: —

Long Context benchmarks
BenchmarkMixtral 8x22BQwen Turbo
LMArena Longer Query1144—

Writing & Preference Not comparable

Mixtral 8x22B: 36.9 (#262), Qwen Turbo: —

Writing & Preference benchmarks
BenchmarkMixtral 8x22BQwen Turbo
LMArena Text1162—
LMArena Creative Writing1141—
WildBench71.1%—
LMArena Multi-Turn1130—

Frequently asked questions

Is Mixtral 8x22B better than Qwen Turbo?

Mixtral 8x22B and Qwen Turbo score almost the same on the Noometry Index (27.1 vs 27.1), so choose on price, context window or the category you care about most.

Which is cheaper, Mixtral 8x22B or Qwen Turbo?

Qwen Turbo is cheaper. It lists at $0.05 per million input tokens and $0.20 per million output tokens; Mixtral 8x22B lists at $2 and $6.

Which has the bigger context window?

Qwen Turbo does, with 1M tokens against 64K.

How many benchmarks do Mixtral 8x22B and Qwen Turbo share?

2 benchmarks have published results for both models. Mixtral 8x22B has 34 scored results on Noometry and Qwen Turbo has 3.

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