Noometry

Model comparison

Mixtral 8x22B vs Qwen3 Coder Next

Qwen3 Coder Next is the stronger model overall, scoring 34.3 to 27.1 on the Noometry Index.

Last verified . 1 shared benchmarks.

Mixtral 8x22B Mistral AI

27.1

Rank #333 Confirmed

Qwen3 Coder Next Alibaba (Qwen)

34.3

Rank #232 Reported

Summary

  • They share 1 benchmark with published results for both. Mixtral 8x22B scores higher in 0 categories and Qwen3 Coder Next in 2 categories; 2 gaps are clear of the uncertainty.
  • The widest gap is in coding, where Qwen3 Coder Next leads 36.3 to 24.2.
  • The biggest single-benchmark swing is WeirdML: 3.2% for Mixtral 8x22B and 34.4% for Qwen3 Coder Next.
  • Qwen3 Coder Next is cheaper at $0.12 / $0.80 per million input/output tokens, against $2 / $6 for Mixtral 8x22B.
  • Qwen3 Coder Next accepts more context: 262K tokens versus 64K.

Side by side

Mixtral 8x22BQwen3 Coder Next
ProviderMistral AIAlibaba (Qwen)
Noometry Index27.134.3
Released2024-04-172026-02-02
WeightsOpenOpen
Context window64K262K
Max output64K66K
Input $ / M tokens$2$0.12
Output $ / M tokens$6$0.80
Results tracked343

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Category by category

Coding Qwen3 Coder Next leads

Mixtral 8x22B: 24.2 (#329), Qwen3 Coder Next: 36.3 (#210)

BenchmarkMixtral 8x22BQwen3 Coder Next
WeirdML3.2%34.4%
SciCode—32.3%
BigCodeBench Instruct40.6%—
LMArena Coding1166—
BigCodeBench Complete50.2%—
HumanEval+72%—
MBPP+64.3%—

Agentic & Tool Use Not comparable

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

BenchmarkMixtral 8x22BQwen3 Coder Next
Cybench7.5%—

Reasoning Qwen3 Coder Next leads

Mixtral 8x22B: 19.9 (#248), Qwen3 Coder Next: 22.4 (#196)

BenchmarkMixtral 8x22BQwen3 Coder Next
CritPt—0%
LMArena Hard Prompts1150—
DTBench55.1%—
Epoch Capabilities Index122.03—
ForecastBench56.3—

Math Not comparable

Mixtral 8x22B: 22.9 (#275), Qwen3 Coder Next: —

BenchmarkMixtral 8x22BQwen3 Coder Next
Omni-MATH16.3%—
LMArena Math1184—
MATH Level 524.2%—

Knowledge Not comparable

Mixtral 8x22B: 15.1 (#293), Qwen3 Coder Next: —

BenchmarkMixtral 8x22BQwen3 Coder Next
GPQA Diamond34.1%—
MMLU-Pro46%—
GPQA (HELM)33.4%—
LMArena Expert1113—
MMLU77.8%—

Multilingual Not comparable

Mixtral 8x22B: 32.8 (#255), Qwen3 Coder Next: —

BenchmarkMixtral 8x22BQwen3 Coder Next
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 Coder Next: —

BenchmarkMixtral 8x22BQwen3 Coder Next
IFEval72.4%—
LMArena Instruction Following1147—

Long Context Not comparable

Mixtral 8x22B: 34.7 (#247), Qwen3 Coder Next: —

BenchmarkMixtral 8x22BQwen3 Coder Next
LMArena Longer Query1144—

Writing & Preference Not comparable

Mixtral 8x22B: 36.9 (#262), Qwen3 Coder Next: —

BenchmarkMixtral 8x22BQwen3 Coder Next
LMArena Text1162—
LMArena Creative Writing1141—
WildBench71.1%—
LMArena Multi-Turn1130—

Frequently asked questions

Is Mixtral 8x22B better than Qwen3 Coder Next?

Qwen3 Coder Next is the stronger model overall, scoring 34.3 to 27.1 on the Noometry Index.

Which is cheaper, Mixtral 8x22B or Qwen3 Coder Next?

Qwen3 Coder Next is cheaper. It lists at $0.12 per million input tokens and $0.80 per million output tokens; Mixtral 8x22B lists at $2 and $6.

Is Mixtral 8x22B or Qwen3 Coder Next better for coding?

Qwen3 Coder Next scores higher on coding benchmarks: 36.3 versus 24.2 in the Noometry coding category.

Which has the bigger context window?

Qwen3 Coder Next does, with 262K tokens against 64K.

How many benchmarks do Mixtral 8x22B and Qwen3 Coder Next share?

1 benchmark has published results for both models. Mixtral 8x22B has 34 scored results on Noometry and Qwen3 Coder Next has 3.

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