Model comparison

Qwen3-4B vs Qwen3.8 27B

Qwen3.8 27B is the stronger model overall, scoring 46.0 to 31.9 on the Noometry Index.

Last verified . 0 shared benchmarks.

Qwen3-4B Alibaba (Qwen)

31.9

Rank #264 Confirmed

Qwen3.8 27B Alibaba (Qwen)

46.0

Rank #68 Confirmed

Summary

  • The widest gap is in reasoning, where Qwen3.8 27B leads 41.0 to 19.2.

Side by side

Qwen3-4B and Qwen3.8 27B specifications
Qwen3-4BQwen3.8 27B
ProviderAlibaba (Qwen)Alibaba (Qwen)
Noometry Index31.946.0
Released2025-04-292026-08-14
WeightsOpenOpen
Context window—262K
Max output—33K
Input $ / M tokens—$0.04
Output $ / M tokens—$2.30
Results tracked631

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Category by category

Coding Not comparable

Qwen3-4B: —, Qwen3.8 27B: 50.5 (#44)

Coding benchmarks
BenchmarkQwen3-4BQwen3.8 27B
LMArena WebDev—1593
SciCode—46.6%
LMArena Coding—1482

Agentic & Tool Use Qwen3.8 27B leads

Qwen3-4B: 27.6 (#100), Qwen3.8 27B: 32.9 (#57)

Agentic & Tool Use benchmarks
BenchmarkQwen3-4BQwen3.8 27B
APEX-Agents—47.5%
Berkeley Function Calling Leaderboard35.7%—

Reasoning Qwen3.8 27B leads

Qwen3-4B: 19.2 (#268), Qwen3.8 27B: 41.0 (#54)

Reasoning benchmarks
BenchmarkQwen3-4BQwen3.8 27B
ARC-AGI-2—42.4%
NYT Connections (extended)—54.5%
ARC-AGI-1—87.5%
CritPt—5.4%
Chess Puzzles4%—
LMArena Hard Prompts—1460
DTBench—88%
LMCA—41.4%
Surface Evolver Bench—45%
Epoch Capabilities Index—149.38

Math Qwen3.8 27B leads

Qwen3-4B: 29.7 (#240), Qwen3.8 27B: 37.1 (#161)

Math benchmarks
BenchmarkQwen3-4BQwen3.8 27B
MathArena Final-Answer Competitions38.5%—
OTIS Mock AIME 2024-202552.2%—
ProofBench—16%
LMArena Math—1456

Knowledge Qwen3.8 27B leads

Qwen3-4B: 33.0 (#208), Qwen3.8 27B: 41.6 (#109)

Knowledge benchmarks
BenchmarkQwen3-4BQwen3.8 27B
GPQA Diamond52.3%—
Vectara Hallucination Rate5.7%—
LMArena Expert—1482

Multimodal Not comparable

Qwen3-4B: —, Qwen3.8 27B: 41.3 (#37)

Multimodal benchmarks
BenchmarkQwen3-4BQwen3.8 27B
LMArena Vision—1271

Multilingual Not comparable

Qwen3-4B: —, Qwen3.8 27B: 53.7 (#60)

Multilingual benchmarks
BenchmarkQwen3-4BQwen3.8 27B
LMArena Non-English—1430
LMArena Chinese—1504
LMArena French—1465
LMArena German—1438
LMArena Japanese—1384
LMArena Korean—1393
LMArena Russian—1415
LMArena Spanish—1448

Instruction Following Not comparable

Qwen3-4B: —, Qwen3.8 27B: 75.8 (#53)

Instruction Following benchmarks
BenchmarkQwen3-4BQwen3.8 27B
LMArena Instruction Following—1439

Long Context Not comparable

Qwen3-4B: —, Qwen3.8 27B: 44.3 (#70)

Long Context benchmarks
BenchmarkQwen3-4BQwen3.8 27B
LMArena Longer Query—1450

Writing & Preference Not comparable

Qwen3-4B: —, Qwen3.8 27B: 65.8 (#43)

Writing & Preference benchmarks
BenchmarkQwen3-4BQwen3.8 27B
LMArena Text—1441
LMArena Creative Writing—1384
EQ-Bench Creative Writing—1671
LMArena Multi-Turn—1441

Frequently asked questions

Is Qwen3-4B better than Qwen3.8 27B?

Qwen3.8 27B is the stronger model overall, scoring 46.0 to 31.9 on the Noometry Index.

How many benchmarks do Qwen3-4B and Qwen3.8 27B share?

0 benchmarks have published results for both models. Qwen3-4B has 6 scored results on Noometry and Qwen3.8 27B has 31.

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