Model comparison

Qwen3-4B vs Qwen3.5 27B

Qwen3.5 27B is the stronger model overall, scoring 41.9 to 31.9 on the Noometry Index.

Last verified . 2 shared benchmarks.

Qwen3-4B Alibaba (Qwen)

31.9

Rank #264 Confirmed

Qwen3.5 27B Alibaba (Qwen)

41.9

Rank #127 Confirmed

Summary

  • They share 2 benchmarks with published results for both. Qwen3-4B scores higher in 0 categories and Qwen3.5 27B in 3 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in math, where Qwen3.5 27B leads 38.8 to 29.7.
  • The biggest single-benchmark swing is MathArena Final-Answer Competitions: 38.5% for Qwen3-4B and 56.7% for Qwen3.5 27B.

Side by side

Qwen3-4B and Qwen3.5 27B specifications
Qwen3-4BQwen3.5 27B
ProviderAlibaba (Qwen)Alibaba (Qwen)
Noometry Index31.941.9
Released2025-04-292026-02-23
WeightsOpenOpen
Context window—262K
Max output—66K
Input $ / M tokens—$0.30
Output $ / M tokens—$2.40
Results tracked628

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Category by category

Coding Not comparable

Qwen3-4B: —, Qwen3.5 27B: 38.9 (#168)

Coding benchmarks
BenchmarkQwen3-4BQwen3.5 27B
LMArena WebDev—1358
WeirdML—39.5%
LMArena Coding—1427
ALE-Bench—349.45

Agentic & Tool Use Not comparable

Qwen3-4B: 27.6 (#100), Qwen3.5 27B: —

Agentic & Tool Use benchmarks
BenchmarkQwen3-4BQwen3.5 27B
Berkeley Function Calling Leaderboard35.7%—
Vending-Bench 2—201.98

Reasoning Qwen3.5 27B leads

Qwen3-4B: 19.2 (#268), Qwen3.5 27B: 27.5 (#117)

Reasoning benchmarks
BenchmarkQwen3-4BQwen3.5 27B
NYT Connections (extended)—47.9%
Chess Puzzles4%—
Thematic Generalization—45.5%
LMArena Hard Prompts—1414
DTBench—82.4%
LMCA—34%

Math Qwen3.5 27B leads

Qwen3-4B: 29.7 (#240), Qwen3.5 27B: 38.8 (#127)

Math benchmarks
BenchmarkQwen3-4BQwen3.5 27B
MathArena Final-Answer Competitions38.5%56.7%
OTIS Mock AIME 2024-202552.2%—
LMArena Math—1429

Knowledge Qwen3.5 27B leads

Qwen3-4B: 33.0 (#208), Qwen3.5 27B: 38.0 (#150)

Knowledge benchmarks
BenchmarkQwen3-4BQwen3.5 27B
Vectara Hallucination Rate5.7%12.1%
GPQA Diamond52.3%—
LMArena Expert—1428

Multimodal Not comparable

Qwen3-4B: —, Qwen3.5 27B: 39.4 (#59)

Multimodal benchmarks
BenchmarkQwen3-4BQwen3.5 27B
LMArena Vision—1241

Multilingual Not comparable

Qwen3-4B: —, Qwen3.5 27B: 50.8 (#115)

Multilingual benchmarks
BenchmarkQwen3-4BQwen3.5 27B
LMArena Non-English—1390
LMArena Chinese—1478
LMArena French—1410
LMArena German—1393
LMArena Japanese—1345
LMArena Korean—1358
LMArena Russian—1390
LMArena Spanish—1407

Instruction Following Not comparable

Qwen3-4B: —, Qwen3.5 27B: 73.5 (#119)

Instruction Following benchmarks
BenchmarkQwen3-4BQwen3.5 27B
LMArena Instruction Following—1393

Long Context Not comparable

Qwen3-4B: —, Qwen3.5 27B: 43.1 (#106)

Long Context benchmarks
BenchmarkQwen3-4BQwen3.5 27B
LMArena Longer Query—1413

Writing & Preference Not comparable

Qwen3-4B: —, Qwen3.5 27B: 59.3 (#111)

Writing & Preference benchmarks
BenchmarkQwen3-4BQwen3.5 27B
LMArena Text—1409
LMArena Creative Writing—1362
LMArena Multi-Turn—1410

Frequently asked questions

Is Qwen3-4B better than Qwen3.5 27B?

Qwen3.5 27B is the stronger model overall, scoring 41.9 to 31.9 on the Noometry Index.

How many benchmarks do Qwen3-4B and Qwen3.5 27B share?

2 benchmarks have published results for both models. Qwen3-4B has 6 scored results on Noometry and Qwen3.5 27B has 28.

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