Model comparison

Qwen3 235B-A22B vs Wizardlm 70b

Qwen3 235B-A22B is the stronger model overall, scoring 43.5 to 33.0 on the Noometry Index.

Last verified . 12 shared benchmarks.

Qwen3 235B-A22B Alibaba (Qwen)

43.5

Rank #91 Confirmed

Wizardlm 70b Microsoft

33.0

Rank #249 Confirmed

Summary

  • They share 12 benchmarks with published results for both. Qwen3 235B-A22B scores higher in 6 categories and Wizardlm 70b 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 34.8.

Side by side

Qwen3 235B-A22B and Wizardlm 70b specifications
Qwen3 235B-A22BWizardlm 70b
ProviderAlibaba (Qwen)Microsoft
Noometry Index43.533.0
Released2025-04—
WeightsOpenOpen
Context window131K—
Max output16K—
Input $ / M tokens$0.70—
Output $ / M tokens$2.80—
Results tracked4912

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Category by category

Coding Qwen3 235B-A22B leads

Qwen3 235B-A22B: 44.3 (#75), Wizardlm 70b: 31.4 (#285)

Coding benchmarks
BenchmarkQwen3 235B-A22BWizardlm 70b
LMArena Coding14451081
Aider Polyglot59.6%—
SciCode42.4%—
WeirdML41%—

Agentic & Tool Use Not comparable

Qwen3 235B-A22B: 33.9 (#51), Wizardlm 70b: —

Agentic & Tool Use benchmarks
BenchmarkQwen3 235B-A22BWizardlm 70b
Berkeley Function Calling Leaderboard52.1%—
Vending-Bench 2-11.34—

Reasoning Wizardlm 70b leads

Qwen3 235B-A22B: 15.7 (#311), Wizardlm 70b: 20.7 (#234)

Reasoning benchmarks
BenchmarkQwen3 235B-A22BWizardlm 70b
LMArena Hard Prompts14331079
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 70b: 32.2 (#218)

Math benchmarks
BenchmarkQwen3 235B-A22BWizardlm 70b
LMArena Math14321116
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 70b: —

Knowledge benchmarks
BenchmarkQwen3 235B-A22BWizardlm 70b
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 70b: 29.6 (#265)

Multilingual benchmarks
BenchmarkQwen3 235B-A22BWizardlm 70b
LMArena Non-English14091078
LMArena Chinese14811052
LMArena German14331083
LMArena Russian14111155
LMArena French1445—
LMArena Japanese1399—
LMArena Korean1391—
LMArena Spanish1430—

Instruction Following Qwen3 235B-A22B leads

Qwen3 235B-A22B: 72.6 (#136), Wizardlm 70b: 56.3 (#273)

Instruction Following benchmarks
BenchmarkQwen3 235B-A22BWizardlm 70b
LMArena Instruction Following14081093
IFEval83.5%—

Long Context Qwen3 235B-A22B leads

Qwen3 235B-A22B: 46.1 (#26), Wizardlm 70b: 33.3 (#263)

Long Context benchmarks
BenchmarkQwen3 235B-A22BWizardlm 70b
LMArena Longer Query14261097
Fiction.LiveBench75%—

Writing & Preference Qwen3 235B-A22B leads

Qwen3 235B-A22B: 59.6 (#108), Wizardlm 70b: 34.8 (#269)

Writing & Preference benchmarks
BenchmarkQwen3 235B-A22BWizardlm 70b
LMArena Text14191120
LMArena Creative Writing13841149
LMArena Multi-Turn14321108
Short-Story Creative Writing83%—
EQ-Bench Creative Writing1366—
WildBench86.6%—

Frequently asked questions

Is Qwen3 235B-A22B better than Wizardlm 70b?

Qwen3 235B-A22B is the stronger model overall, scoring 43.5 to 33.0 on the Noometry Index.

Is Qwen3 235B-A22B or Wizardlm 70b better for coding?

Qwen3 235B-A22B scores higher on coding benchmarks: 44.3 versus 31.4 in the Noometry coding category.

How many benchmarks do Qwen3 235B-A22B and Wizardlm 70b share?

12 benchmarks have published results for both models. Qwen3 235B-A22B has 49 scored results on Noometry and Wizardlm 70b has 12.

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