Noometry

Model comparison

Claude 3 Haiku vs Qwen3 32B

Qwen3 32B is the stronger model overall, scoring 39.2 to 25.9 on the Noometry Index.

Last verified . 19 shared benchmarks.

Claude 3 Haiku Anthropic

25.9

Rank #340 Confirmed

Qwen3 32B Alibaba (Qwen)

39.2

Rank #172 Confirmed

Summary

  • They share 19 benchmarks with published results for both. Claude 3 Haiku scores higher in 0 categories and Qwen3 32B in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where Qwen3 32B leads 39.7 to 9.8.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 1.8% for Claude 3 Haiku and 66.9% for Qwen3 32B.
  • Qwen3 32B has downloadable open weights; the other is API-only.

Side by side

Claude 3 HaikuQwen3 32B
ProviderAnthropicAlibaba (Qwen)
Noometry Index25.939.2
Released2024-03-072025-04
WeightsProprietaryOpen
Context window—131K
Max output—16K
Input $ / M tokens—$0.70
Output $ / M tokens—$2.80
Results tracked3726

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Category by category

Coding Qwen3 32B leads

Claude 3 Haiku: 26.4 (#325), Qwen3 32B: 37.7 (#190)

BenchmarkClaude 3 HaikuQwen3 32B
LMArena Coding11991358
Aider Polyglot—40%
SciCode—35.4%
WeirdML9.8%—
BigCodeBench Instruct39.4%—
BigCodeBench Complete50.1%—
CadEval12%—
HumanEval+68.9%—
MBPP+68.8%—

Agentic & Tool Use Not comparable

Claude 3 Haiku: —, Qwen3 32B: 32.6 (#62)

BenchmarkClaude 3 HaikuQwen3 32B
Berkeley Function Calling Leaderboard—48.7%

Reasoning Qwen3 32B leads

Claude 3 Haiku: 16.3 (#307), Qwen3 32B: 20.2 (#241)

BenchmarkClaude 3 HaikuQwen3 32B
Kagi LLM Benchmark34.2%54.9%
LMArena Hard Prompts11741334
DTBench50.1%67.5%
LMCA8.8%17.3%
Epoch Capabilities Index118.35138.51
CritPt—0.3%
Chess Puzzles—5%
ForecastBench53.2—
WinoGrande74.2%—

Math Qwen3 32B leads

Claude 3 Haiku: 9.8 (#319), Qwen3 32B: 39.7 (#99)

BenchmarkClaude 3 HaikuQwen3 32B
OTIS Mock AIME 2024-20251.8%66.9%
LMArena Math11881399
MATH Level 514.9%—

Knowledge Qwen3 32B leads

Claude 3 Haiku: 17.3 (#285), Qwen3 32B: 40.0 (#125)

BenchmarkClaude 3 HaikuQwen3 32B
GPQA Diamond36.3%65.7%
LMArena Expert11481362
Confabulations34.2%—
Vectara Hallucination Rate—5.9%
MMLU73.8%—

Multimodal Not comparable

Claude 3 Haiku: 23.6 (#128), Qwen3 32B: —

BenchmarkClaude 3 HaikuQwen3 32B
LMArena Vision950—
ScienceQA72%—

Multilingual Qwen3 32B leads

Claude 3 Haiku: 36.0 (#243), Qwen3 32B: 45.6 (#167)

BenchmarkClaude 3 HaikuQwen3 32B
LMArena Non-English11781317
LMArena Chinese11551357
LMArena German11741341
LMArena Russian12041311
LMArena French1195—
LMArena Japanese1102—
LMArena Korean1109—
LMArena Spanish1166—

Instruction Following Qwen3 32B leads

Claude 3 Haiku: 61.3 (#247), Qwen3 32B: 68.9 (#179)

BenchmarkClaude 3 HaikuQwen3 32B
LMArena Instruction Following11731305

Long Context Qwen3 32B leads

Claude 3 Haiku: 36.1 (#237), Qwen3 32B: 43.8 (#87)

BenchmarkClaude 3 HaikuQwen3 32B
LMArena Longer Query11901327
Fiction.LiveBench—74.2%

Writing & Preference Qwen3 32B leads

Claude 3 Haiku: 29.7 (#291), Qwen3 32B: 52.9 (#163)

BenchmarkClaude 3 HaikuQwen3 32B
LMArena Text11951340
LMArena Creative Writing11571297
LMArena Multi-Turn11901331
EQ-Bench Creative Writing717—

Frequently asked questions

Is Claude 3 Haiku better than Qwen3 32B?

Qwen3 32B is the stronger model overall, scoring 39.2 to 25.9 on the Noometry Index.

Is Claude 3 Haiku or Qwen3 32B better for coding?

Qwen3 32B scores higher on coding benchmarks: 37.7 versus 26.4 in the Noometry coding category.

How many benchmarks do Claude 3 Haiku and Qwen3 32B share?

19 benchmarks have published results for both models. Claude 3 Haiku has 37 scored results on Noometry and Qwen3 32B has 26.

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