Model comparison

Qwen1.5-32B vs Qwen3-4B

Qwen3-4B is the stronger model overall, scoring 31.5 to 30.0 on the Noometry Index.

Last verified . 1 shared benchmarks.

Qwen1.5-32B Alibaba (Qwen)

30.0

Rank #288 Confirmed

Qwen3-4B Alibaba (Qwen)

31.5

Rank #261 Confirmed

Summary

  • They share 1 benchmark with published results for both. Qwen1.5-32B scores higher in 2 categories and Qwen3-4B in 1 category; 3 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Qwen3-4B leads 33.0 to 13.5.
  • The biggest single-benchmark swing is GPQA Diamond: 30.7% for Qwen1.5-32B and 52.3% for Qwen3-4B.

Side by side

Qwen1.5-32B and Qwen3-4B specifications
Qwen1.5-32BQwen3-4B
ProviderAlibaba (Qwen)Alibaba (Qwen)
Noometry Index30.031.5
Released2024-02-042025-04-29
WeightsOpenOpen
Context window——
Max output——
Input $ / M tokens——
Output $ / M tokens——
Results tracked216

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Category by category

Coding Not comparable

Qwen1.5-32B: 31.1 (#278), Qwen3-4B: —

Coding benchmarks
BenchmarkQwen1.5-32BQwen3-4B
BigCodeBench Instruct32.3%—
LMArena Coding1155—
BigCodeBench Complete42%—

Agentic & Tool Use Not comparable

Qwen1.5-32B: —, Qwen3-4B: 27.3 (#94)

Agentic & Tool Use benchmarks
BenchmarkQwen1.5-32BQwen3-4B
Berkeley Function Calling Leaderboard—35.7%

Reasoning Qwen1.5-32B leads

Qwen1.5-32B: 20.9 (#210), Qwen3-4B: 18.5 (#264)

Reasoning benchmarks
BenchmarkQwen1.5-32BQwen3-4B
Chess Puzzles—4%
LMArena Hard Prompts1131—

Math Qwen1.5-32B leads

Qwen1.5-32B: 30.5 (#207), Qwen3-4B: 28.5 (#228)

Math benchmarks
BenchmarkQwen1.5-32BQwen3-4B
MathArena Final-Answer Competitions—38.5%
OTIS Mock AIME 2024-2025—52.2%
LMArena Math1155—

Knowledge Qwen3-4B leads

Qwen1.5-32B: 13.5 (#291), Qwen3-4B: 33.0 (#198)

Knowledge benchmarks
BenchmarkQwen1.5-32BQwen3-4B
GPQA Diamond30.7%52.3%
Vectara Hallucination Rate—5.7%
LMArena Expert1126—
MMLU74.4%—

Multilingual Not comparable

Qwen1.5-32B: 31.6 (#254), Qwen3-4B: —

Multilingual benchmarks
BenchmarkQwen1.5-32BQwen3-4B
LMArena Non-English1106—
LMArena Chinese1176—
LMArena French1100—
LMArena German1058—
LMArena Japanese1027—
LMArena Korean1007—
LMArena Russian1073—
LMArena Spanish1089—

Instruction Following Not comparable

Qwen1.5-32B: 58.0 (#260), Qwen3-4B: —

Instruction Following benchmarks
BenchmarkQwen1.5-32BQwen3-4B
LMArena Instruction Following1116—

Long Context Not comparable

Qwen1.5-32B: 34.7 (#241), Qwen3-4B: —

Long Context benchmarks
BenchmarkQwen1.5-32BQwen3-4B
LMArena Longer Query1146—

Writing & Preference Not comparable

Qwen1.5-32B: 34.4 (#266), Qwen3-4B: —

Writing & Preference benchmarks
BenchmarkQwen1.5-32BQwen3-4B
LMArena Text1137—
LMArena Creative Writing1083—
LMArena Multi-Turn1140—

Frequently asked questions

Is Qwen1.5-32B better than Qwen3-4B?

Qwen3-4B is the stronger model overall, scoring 31.5 to 30.0 on the Noometry Index.

How many benchmarks do Qwen1.5-32B and Qwen3-4B share?

1 benchmark has published results for both models. Qwen1.5-32B has 21 scored results on Noometry and Qwen3-4B has 6.

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