Noometry

Model comparison

Mixtral 8x22B vs Qwen3 Max

Qwen3 Max is the stronger model overall, scoring 43.7 to 27.1 on the Noometry Index.

Last verified . 21 shared benchmarks.

Mixtral 8x22B Mistral AI

27.1

Rank #333 Confirmed

Qwen3 Max Alibaba (Qwen)

43.7

Rank #87 Confirmed

Summary

  • They share 21 benchmarks with published results for both. Mixtral 8x22B scores higher in 0 categories and Qwen3 Max in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Qwen3 Max leads 48.1 to 15.1.
  • The biggest single-benchmark swing is MATH Level 5: 24.2% for Mixtral 8x22B and 97.1% for Qwen3 Max.
  • Qwen3 Max is cheaper at $1.20 / $6 per million input/output tokens, against $2 / $6 for Mixtral 8x22B.
  • Qwen3 Max accepts more context: 262K tokens versus 64K.
  • Mixtral 8x22B has downloadable open weights; the other is API-only.

Side by side

Mixtral 8x22BQwen3 Max
ProviderMistral AIAlibaba (Qwen)
Noometry Index27.143.7
Released2024-04-172025-09-23
WeightsOpenProprietary
Context window64K262K
Max output64K66K
Input $ / M tokens$2$1.20
Output $ / M tokens$6$6
Results tracked3433

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Category by category

Coding Qwen3 Max leads

Mixtral 8x22B: 24.2 (#329), Qwen3 Max: 43.0 (#93)

BenchmarkMixtral 8x22BQwen3 Max
LMArena Coding11661456
WeirdML3.2%—
BigCodeBench Instruct40.6%—
BigCodeBench Complete50.2%—
ALE-Bench—370.45
HumanEval+72%—
MBPP+64.3%—

Agentic & Tool Use Not comparable

Mixtral 8x22B: 23.1 (#127), Qwen3 Max: —

BenchmarkMixtral 8x22BQwen3 Max
Cybench7.5%—
Vending-Bench 2—71.56

Reasoning Qwen3 Max leads

Mixtral 8x22B: 19.9 (#248), Qwen3 Max: 22.6 (#190)

BenchmarkMixtral 8x22BQwen3 Max
LMArena Hard Prompts11501448
DTBench55.1%82.1%
Epoch Capabilities Index122.03142.38
Kagi LLM Benchmark—72.5%
NYT Connections (extended)—30.1%
Chess Puzzles—4%
Mystery Game Puzzles—5%
LMCA—28.3%
ForecastBench56.3—

Math Qwen3 Max leads

Mixtral 8x22B: 22.9 (#275), Qwen3 Max: 38.7 (#131)

BenchmarkMixtral 8x22BQwen3 Max
LMArena Math11841446
MATH Level 524.2%97.1%
FrontierMath (Tiers 1-3)—18.9%
OTIS Mock AIME 2024-2025—73.3%
Omni-MATH16.3%—

Knowledge Qwen3 Max leads

Mixtral 8x22B: 15.1 (#293), Qwen3 Max: 48.1 (#78)

BenchmarkMixtral 8x22BQwen3 Max
GPQA Diamond34.1%72.6%
LMArena Expert11131455
SimpleQA Verified—48.7%
MMLU-Pro46%—
GPQA (HELM)33.4%—
MMLU77.8%—

Multilingual Qwen3 Max leads

Mixtral 8x22B: 32.8 (#255), Qwen3 Max: 53.7 (#62)

BenchmarkMixtral 8x22BQwen3 Max
LMArena Non-English11281429
LMArena Chinese11161478
LMArena French11661449
LMArena German11411463
LMArena Japanese10371397
LMArena Korean10571399
LMArena Russian11581428
LMArena Spanish11511462

Instruction Following Qwen3 Max leads

Mixtral 8x22B: 57.7 (#266), Qwen3 Max: 74.8 (#87)

BenchmarkMixtral 8x22BQwen3 Max
LMArena Instruction Following11471419
IFEval72.4%—

Long Context Qwen3 Max leads

Mixtral 8x22B: 34.7 (#247), Qwen3 Max: 41.6 (#134)

BenchmarkMixtral 8x22BQwen3 Max
LMArena Longer Query11441438
Fiction.LiveBench—66.7%
CL-bench—14.5%

Writing & Preference Qwen3 Max leads

Mixtral 8x22B: 36.9 (#262), Qwen3 Max: 62.4 (#76)

BenchmarkMixtral 8x22BQwen3 Max
LMArena Text11621439
LMArena Creative Writing11411402
LMArena Multi-Turn11301446
WildBench71.1%—

Frequently asked questions

Is Mixtral 8x22B better than Qwen3 Max?

Qwen3 Max is the stronger model overall, scoring 43.7 to 27.1 on the Noometry Index.

Which is cheaper, Mixtral 8x22B or Qwen3 Max?

Qwen3 Max is cheaper. It lists at $1.20 per million input tokens and $6 per million output tokens; Mixtral 8x22B lists at $2 and $6.

Is Mixtral 8x22B or Qwen3 Max better for coding?

Qwen3 Max scores higher on coding benchmarks: 43.0 versus 24.2 in the Noometry coding category.

Which has the bigger context window?

Qwen3 Max does, with 262K tokens against 64K.

How many benchmarks do Mixtral 8x22B and Qwen3 Max share?

21 benchmarks have published results for both models. Mixtral 8x22B has 34 scored results on Noometry and Qwen3 Max has 33.

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