Noometry

Model comparison

Mixtral 8x22B vs Qwen3.5 Plus

Qwen3.5 Plus is the stronger model overall, scoring 42.9 to 27.1 on the Noometry Index.

Last verified . 3 shared benchmarks.

Mixtral 8x22B Mistral AI

27.1

Rank #333 Confirmed

Qwen3.5 Plus Alibaba (Qwen)

42.9

Rank #106 Confirmed

Summary

  • They share 3 benchmarks with published results for both. Mixtral 8x22B scores higher in 0 categories and Qwen3.5 Plus in 4 categories; 4 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Qwen3.5 Plus leads 46.0 to 15.1.
  • The biggest single-benchmark swing is GPQA Diamond: 34.1% for Mixtral 8x22B and 84.8% for Qwen3.5 Plus.
  • Qwen3.5 Plus is cheaper at $0.40 / $2.40 per million input/output tokens, against $2 / $6 for Mixtral 8x22B.
  • Qwen3.5 Plus accepts more context: 1M tokens versus 64K.
  • Mixtral 8x22B has downloadable open weights; the other is API-only.

Side by side

Mixtral 8x22BQwen3.5 Plus
ProviderMistral AIAlibaba (Qwen)
Noometry Index27.142.9
Released2024-04-172026-02-16
WeightsOpenProprietary
Context window64K1M
Max output64K66K
Input $ / M tokens$2$0.40
Output $ / M tokens$6$2.40
Results tracked3415

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Category by category

Coding Not comparable

Mixtral 8x22B: 24.2 (#329), Qwen3.5 Plus: —

BenchmarkMixtral 8x22BQwen3.5 Plus
WeirdML3.2%—
BigCodeBench Instruct40.6%—
LMArena Coding1166—
BigCodeBench Complete50.2%—
ALE-Bench—621.92
HumanEval+72%—
MBPP+64.3%—

Agentic & Tool Use Not comparable

Mixtral 8x22B: 23.1 (#127), Qwen3.5 Plus: —

BenchmarkMixtral 8x22BQwen3.5 Plus
Cybench7.5%—
Vending-Bench 2—0.54

Reasoning Qwen3.5 Plus leads

Mixtral 8x22B: 19.9 (#248), Qwen3.5 Plus: 32.8 (#74)

BenchmarkMixtral 8x22BQwen3.5 Plus
DTBench55.1%80.5%
Epoch Capabilities Index122.03146.78
Chess Puzzles—22%
LMArena Hard Prompts1150—
Mystery Game Puzzles—17%
LMCA—36.4%
ForecastBench56.3—

Math Qwen3.5 Plus leads

Mixtral 8x22B: 22.9 (#275), Qwen3.5 Plus: 49.6 (#61)

BenchmarkMixtral 8x22BQwen3.5 Plus
OTIS Mock AIME 2024-2025—86.7%
Omni-MATH16.3%—
LMArena Math1184—
MATH Level 524.2%—
FrontierMath (Feb 2025 set)—21%
FrontierMath Tier 4 (v1)—2.1%

Knowledge Qwen3.5 Plus leads

Mixtral 8x22B: 15.1 (#293), Qwen3.5 Plus: 46.0 (#83)

BenchmarkMixtral 8x22BQwen3.5 Plus
GPQA Diamond34.1%84.8%
SimpleQA Verified—25.4%
MMLU-Pro46%—
Vectara Hallucination Rate—10.7%
GPQA (HELM)33.4%—
LMArena Expert1113—
MMLU77.8%—

Multilingual Not comparable

Mixtral 8x22B: 32.8 (#255), Qwen3.5 Plus: —

BenchmarkMixtral 8x22BQwen3.5 Plus
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), Qwen3.5 Plus: —

BenchmarkMixtral 8x22BQwen3.5 Plus
IFEval72.4%—
LMArena Instruction Following1147—

Long Context Qwen3.5 Plus leads

Mixtral 8x22B: 34.7 (#247), Qwen3.5 Plus: 43.0 (#113)

BenchmarkMixtral 8x22BQwen3.5 Plus
CL-bench—19.8%
CL-bench Life—12.4%
LMArena Longer Query1144—

Writing & Preference Not comparable

Mixtral 8x22B: 36.9 (#262), Qwen3.5 Plus: —

BenchmarkMixtral 8x22BQwen3.5 Plus
LMArena Text1162—
LMArena Creative Writing1141—
WildBench71.1%—
LMArena Multi-Turn1130—

Frequently asked questions

Is Mixtral 8x22B better than Qwen3.5 Plus?

Qwen3.5 Plus is the stronger model overall, scoring 42.9 to 27.1 on the Noometry Index.

Which is cheaper, Mixtral 8x22B or Qwen3.5 Plus?

Qwen3.5 Plus is cheaper. It lists at $0.40 per million input tokens and $2.40 per million output tokens; Mixtral 8x22B lists at $2 and $6.

Which has the bigger context window?

Qwen3.5 Plus does, with 1M tokens against 64K.

How many benchmarks do Mixtral 8x22B and Qwen3.5 Plus share?

3 benchmarks have published results for both models. Mixtral 8x22B has 34 scored results on Noometry and Qwen3.5 Plus has 15.

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