Model comparison

Mixtral 8x22B vs Qwen2.5 Plus 1127

Qwen2.5 Plus 1127 is the stronger model overall, scoring 38.1 to 26.7 on the Noometry Index.

Last verified . 14 shared benchmarks.

Mixtral 8x22B Mistral AI

26.7

Rank #330 Confirmed

Qwen2.5 Plus 1127 Alibaba (Qwen)

38.1

Rank #179 Confirmed

Summary

  • They share 14 benchmarks with published results for both. Mixtral 8x22B scores higher in 0 categories and Qwen2.5 Plus 1127 in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Qwen2.5 Plus 1127 leads 34.9 to 15.1.
  • Mixtral 8x22B has downloadable open weights; the other is API-only.

Side by side

Mixtral 8x22B and Qwen2.5 Plus 1127 specifications
Mixtral 8x22BQwen2.5 Plus 1127
ProviderMistral AIAlibaba (Qwen)
Noometry Index26.738.1
Released2024-04-17—
WeightsOpenProprietary
Context window64K—
Max output64K—
Input $ / M tokens$2—
Output $ / M tokens$6—
Results tracked3414

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Category by category

Coding Qwen2.5 Plus 1127 leads

Mixtral 8x22B: 23.8 (#324), Qwen2.5 Plus 1127: 37.9 (#171)

Coding benchmarks
BenchmarkMixtral 8x22BQwen2.5 Plus 1127
LMArena Coding11661314
WeirdML3.2%—
BigCodeBench Instruct40.6%—
BigCodeBench Complete50.2%—
HumanEval+72%—
MBPP+64.3%—

Agentic & Tool Use Not comparable

Mixtral 8x22B: 22.8 (#119), Qwen2.5 Plus 1127: —

Agentic & Tool Use benchmarks
BenchmarkMixtral 8x22BQwen2.5 Plus 1127
Cybench7.5%—

Reasoning Qwen2.5 Plus 1127 leads

Mixtral 8x22B: 19.1 (#246), Qwen2.5 Plus 1127: 24.8 (#139)

Reasoning benchmarks
BenchmarkMixtral 8x22BQwen2.5 Plus 1127
LMArena Hard Prompts11501299
DTBench55.1%—
Epoch Capabilities Index122—
ForecastBench56.3—

Math Qwen2.5 Plus 1127 leads

Mixtral 8x22B: 21.2 (#271), Qwen2.5 Plus 1127: 33.5 (#175)

Math benchmarks
BenchmarkMixtral 8x22BQwen2.5 Plus 1127
LMArena Math11841298
Omni-MATH16.3%—
MATH Level 524.2%—

Knowledge Qwen2.5 Plus 1127 leads

Mixtral 8x22B: 15.1 (#288), Qwen2.5 Plus 1127: 34.9 (#179)

Knowledge benchmarks
BenchmarkMixtral 8x22BQwen2.5 Plus 1127
LMArena Expert11131289
GPQA Diamond34.1%—
MMLU-Pro46%—
GPQA (HELM)33.4%—
MMLU77.8%—

Multilingual Qwen2.5 Plus 1127 leads

Mixtral 8x22B: 32.9 (#250), Qwen2.5 Plus 1127: 42.1 (#196)

Multilingual benchmarks
BenchmarkMixtral 8x22BQwen2.5 Plus 1127
LMArena Non-English11281265
LMArena Chinese11161314
LMArena German11411231
LMArena Japanese10371207
LMArena Russian11581271
LMArena French1165—
LMArena Korean1056—
LMArena Spanish1150—

Instruction Following Qwen2.5 Plus 1127 leads

Mixtral 8x22B: 57.9 (#261), Qwen2.5 Plus 1127: 67.4 (#194)

Instruction Following benchmarks
BenchmarkMixtral 8x22BQwen2.5 Plus 1127
LMArena Instruction Following11471275
IFEval72.4%—

Long Context Qwen2.5 Plus 1127 leads

Mixtral 8x22B: 34.6 (#242), Qwen2.5 Plus 1127: 39.2 (#180)

Long Context benchmarks
BenchmarkMixtral 8x22BQwen2.5 Plus 1127
LMArena Longer Query11441292

Writing & Preference Qwen2.5 Plus 1127 leads

Mixtral 8x22B: 37.1 (#257), Qwen2.5 Plus 1127: 49.5 (#186)

Writing & Preference benchmarks
BenchmarkMixtral 8x22BQwen2.5 Plus 1127
LMArena Text11621299
LMArena Creative Writing11411262
LMArena Multi-Turn11301299
WildBench71.1%—

Frequently asked questions

Is Mixtral 8x22B better than Qwen2.5 Plus 1127?

Qwen2.5 Plus 1127 is the stronger model overall, scoring 38.1 to 26.7 on the Noometry Index.

Is Mixtral 8x22B or Qwen2.5 Plus 1127 better for coding?

Qwen2.5 Plus 1127 scores higher on coding benchmarks: 37.9 versus 23.8 in the Noometry coding category.

How many benchmarks do Mixtral 8x22B and Qwen2.5 Plus 1127 share?

14 benchmarks have published results for both models. Mixtral 8x22B has 34 scored results on Noometry and Qwen2.5 Plus 1127 has 14.

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