Model comparison

Qwen3 235B-A22B vs Wizardlm 13b

Qwen3 235B-A22B is the stronger model overall, scoring 43.5 to 31.4 on the Noometry Index.

Last verified . 10 shared benchmarks.

Qwen3 235B-A22B Alibaba (Qwen)

43.5

Rank #91 Confirmed

Wizardlm 13b Microsoft

31.4

Rank #274 Confirmed

Summary

  • They share 10 benchmarks with published results for both. Qwen3 235B-A22B scores higher in 6 categories and Wizardlm 13b in 1 category; 7 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Qwen3 235B-A22B leads 59.6 to 30.5.

Side by side

Qwen3 235B-A22B and Wizardlm 13b specifications
Qwen3 235B-A22BWizardlm 13b
ProviderAlibaba (Qwen)Microsoft
Noometry Index43.531.4
Released2025-04—
WeightsOpenOpen
Context window131K—
Max output16K—
Input $ / M tokens$0.70—
Output $ / M tokens$2.80—
Results tracked4910

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Category by category

Coding Qwen3 235B-A22B leads

Qwen3 235B-A22B: 44.3 (#75), Wizardlm 13b: 30.1 (#298)

Coding benchmarks
BenchmarkQwen3 235B-A22BWizardlm 13b
LMArena Coding14451035
Aider Polyglot59.6%—
SciCode42.4%—
WeirdML41%—

Agentic & Tool Use Not comparable

Qwen3 235B-A22B: 33.9 (#51), Wizardlm 13b: —

Agentic & Tool Use benchmarks
BenchmarkQwen3 235B-A22BWizardlm 13b
Berkeley Function Calling Leaderboard52.1%—
Vending-Bench 2-11.34—

Reasoning Wizardlm 13b leads

Qwen3 235B-A22B: 15.7 (#311), Wizardlm 13b: 19.4 (#259)

Reasoning benchmarks
BenchmarkQwen3 235B-A22BWizardlm 13b
LMArena Hard Prompts14331018
ARC-AGI-21.3%—
SimpleBench31%—
Kagi LLM Benchmark69.4%—
ARC-AGI-111%—
CritPt0%—
Chess Puzzles12%—
Mystery Game Puzzles9%—
DTBench80.3%—
LMCA29.3%—
Epoch Capabilities Index143.85—
ForecastBench59.7—

Math Qwen3 235B-A22B leads

Qwen3 235B-A22B: 50.4 (#57), Wizardlm 13b: 30.2 (#238)

Math benchmarks
BenchmarkQwen3 235B-A22BWizardlm 13b
LMArena Math14321017
OTIS Mock AIME 2024-202586.7%—
Omni-MATH71.8%—
MATH Level 568.9%—
FrontierMath (Feb 2025 set)8.5%—
FrontierMath Tier 4 (v1)0%—

Knowledge Not comparable

Qwen3 235B-A22B: 49.6 (#73), Wizardlm 13b: —

Knowledge benchmarks
BenchmarkQwen3 235B-A22BWizardlm 13b
GPQA Diamond80.1%—
SimpleQA Verified40.4%—
MMLU-Pro84.4%—
Confabulations15.6%—
Vectara Hallucination Rate9.3%—
GPQA (HELM)72.7%—
LMArena Expert1463—

Multilingual Qwen3 235B-A22B leads

Qwen3 235B-A22B: 52.3 (#89), Wizardlm 13b: 27.1 (#277)

Multilingual benchmarks
BenchmarkQwen3 235B-A22BWizardlm 13b
LMArena Non-English14091034
LMArena Chinese14811023
LMArena French1445—
LMArena German1433—
LMArena Japanese1399—
LMArena Korean1391—
LMArena Russian1411—
LMArena Spanish1430—

Instruction Following Qwen3 235B-A22B leads

Qwen3 235B-A22B: 72.6 (#136), Wizardlm 13b: 53.5 (#285)

Instruction Following benchmarks
BenchmarkQwen3 235B-A22BWizardlm 13b
LMArena Instruction Following14081048
IFEval83.5%—

Long Context Qwen3 235B-A22B leads

Qwen3 235B-A22B: 46.1 (#26), Wizardlm 13b: 32.0 (#273)

Long Context benchmarks
BenchmarkQwen3 235B-A22BWizardlm 13b
LMArena Longer Query14261054
Fiction.LiveBench75%—

Writing & Preference Qwen3 235B-A22B leads

Qwen3 235B-A22B: 59.6 (#108), Wizardlm 13b: 30.5 (#287)

Writing & Preference benchmarks
BenchmarkQwen3 235B-A22BWizardlm 13b
LMArena Text14191077
LMArena Creative Writing13841091
LMArena Multi-Turn14321047
Short-Story Creative Writing83%—
EQ-Bench Creative Writing1366—
WildBench86.6%—

Frequently asked questions

Is Qwen3 235B-A22B better than Wizardlm 13b?

Qwen3 235B-A22B is the stronger model overall, scoring 43.5 to 31.4 on the Noometry Index.

Is Qwen3 235B-A22B or Wizardlm 13b better for coding?

Qwen3 235B-A22B scores higher on coding benchmarks: 44.3 versus 30.1 in the Noometry coding category.

How many benchmarks do Qwen3 235B-A22B and Wizardlm 13b share?

10 benchmarks have published results for both models. Qwen3 235B-A22B has 49 scored results on Noometry and Wizardlm 13b has 10.

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