Noometry

Model comparison

Mixtral 8x22B vs Qwen3.6 Flash

Qwen3.6 Flash is the stronger model overall, scoring 38.8 to 27.1 on the Noometry Index.

Last verified . 3 shared benchmarks.

Mixtral 8x22B Mistral AI

27.1

Rank #333 Confirmed

Qwen3.6 Flash Alibaba (Qwen)

38.8

Rank #182 Confirmed

Summary

  • They share 3 benchmarks with published results for both. Mixtral 8x22B scores higher in 0 categories and Qwen3.6 Flash in 3 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Qwen3.6 Flash leads 42.1 to 15.1.
  • The biggest single-benchmark swing is GPQA Diamond: 34.1% for Mixtral 8x22B and 83.3% for Qwen3.6 Flash.
  • Qwen3.6 Flash is cheaper at $0.19 / $1.13 per million input/output tokens, against $2 / $6 for Mixtral 8x22B.
  • Qwen3.6 Flash accepts more context: 1M tokens versus 64K.
  • Mixtral 8x22B has downloadable open weights; the other is API-only.

Side by side

Mixtral 8x22BQwen3.6 Flash
ProviderMistral AIAlibaba (Qwen)
Noometry Index27.138.8
Released2024-04-172026-04-27
WeightsOpenProprietary
Context window64K1M
Max output64K66K
Input $ / M tokens$2$0.19
Output $ / M tokens$6$1.13
Results tracked3413

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Category by category

Coding Not comparable

Mixtral 8x22B: 24.2 (#329), Qwen3.6 Flash: —

BenchmarkMixtral 8x22BQwen3.6 Flash
WeirdML3.2%—
BigCodeBench Instruct40.6%—
LMArena Coding1166—
BigCodeBench Complete50.2%—
ALE-Bench—326.4
HumanEval+72%—
MBPP+64.3%—

Agentic & Tool Use Not comparable

Mixtral 8x22B: 23.1 (#127), Qwen3.6 Flash: —

BenchmarkMixtral 8x22BQwen3.6 Flash
Cybench7.5%—

Reasoning Qwen3.6 Flash leads

Mixtral 8x22B: 19.9 (#248), Qwen3.6 Flash: 29.0 (#96)

BenchmarkMixtral 8x22BQwen3.6 Flash
DTBench55.1%77.1%
Epoch Capabilities Index122.03143.26
SimpleBench—35.2%
Chess Puzzles—20%
LMArena Hard Prompts1150—
Mystery Game Puzzles—18%
LMCA—31%
ForecastBench56.3—

Math Qwen3.6 Flash leads

Mixtral 8x22B: 22.9 (#275), Qwen3.6 Flash: 39.0 (#117)

BenchmarkMixtral 8x22BQwen3.6 Flash
FrontierMath (Tiers 1-3)—22.5%
OTIS Mock AIME 2024-2025—84.4%
Omni-MATH16.3%—
LMArena Math1184—
MATH Level 524.2%—
FrontierMath (Feb 2025 set)—10.3%
FrontierMath Tier 4 (v1)—0%

Knowledge Qwen3.6 Flash leads

Mixtral 8x22B: 15.1 (#293), Qwen3.6 Flash: 42.1 (#100)

BenchmarkMixtral 8x22BQwen3.6 Flash
GPQA Diamond34.1%83.3%
SimpleQA Verified—15.9%
MMLU-Pro46%—
GPQA (HELM)33.4%—
LMArena Expert1113—
MMLU77.8%—

Multilingual Not comparable

Mixtral 8x22B: 32.8 (#255), Qwen3.6 Flash: —

BenchmarkMixtral 8x22BQwen3.6 Flash
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), Qwen3.6 Flash: —

BenchmarkMixtral 8x22BQwen3.6 Flash
IFEval72.4%—
LMArena Instruction Following1147—

Long Context Not comparable

Mixtral 8x22B: 34.7 (#247), Qwen3.6 Flash: —

BenchmarkMixtral 8x22BQwen3.6 Flash
LMArena Longer Query1144—

Writing & Preference Not comparable

Mixtral 8x22B: 36.9 (#262), Qwen3.6 Flash: —

BenchmarkMixtral 8x22BQwen3.6 Flash
LMArena Text1162—
LMArena Creative Writing1141—
WildBench71.1%—
LMArena Multi-Turn1130—

Frequently asked questions

Is Mixtral 8x22B better than Qwen3.6 Flash?

Qwen3.6 Flash is the stronger model overall, scoring 38.8 to 27.1 on the Noometry Index.

Which is cheaper, Mixtral 8x22B or Qwen3.6 Flash?

Qwen3.6 Flash is cheaper. It lists at $0.19 per million input tokens and $1.13 per million output tokens; Mixtral 8x22B lists at $2 and $6.

Which has the bigger context window?

Qwen3.6 Flash does, with 1M tokens against 64K.

How many benchmarks do Mixtral 8x22B and Qwen3.6 Flash share?

3 benchmarks have published results for both models. Mixtral 8x22B has 34 scored results on Noometry and Qwen3.6 Flash has 13.

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