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.
Summary
- The widest gap is in reasoning, where Qwen3.8 27B leads 41.0 to 19.2.
Side by side
| Qwen3-4B | Qwen3.8 27B | |
|---|---|---|
| Provider | Alibaba (Qwen) | Alibaba (Qwen) |
| Noometry Index | 31.9 | 46.0 |
| Released | 2025-04-29 | 2026-08-14 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 33K |
| Input $ / M tokens | — | $0.04 |
| Output $ / M tokens | — | $2.30 |
| Results tracked | 6 | 31 |
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Category by category
Coding Not comparable
Qwen3-4B: —, Qwen3.8 27B: 50.5 (#44)
| Benchmark | Qwen3-4B | Qwen3.8 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)
| Benchmark | Qwen3-4B | Qwen3.8 27B |
|---|---|---|
| APEX-Agents | — | 47.5% |
| Berkeley Function Calling Leaderboard | 35.7% | — |
Reasoning Qwen3.8 27B leads
Qwen3-4B: 19.2 (#268), Qwen3.8 27B: 41.0 (#54)
| Benchmark | Qwen3-4B | Qwen3.8 27B |
|---|---|---|
| ARC-AGI-2 | — | 42.4% |
| NYT Connections (extended) | — | 54.5% |
| ARC-AGI-1 | — | 87.5% |
| CritPt | — | 5.4% |
| Chess Puzzles | 4% | — |
| 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)
| Benchmark | Qwen3-4B | Qwen3.8 27B |
|---|---|---|
| MathArena Final-Answer Competitions | 38.5% | — |
| OTIS Mock AIME 2024-2025 | 52.2% | — |
| ProofBench | — | 16% |
| LMArena Math | — | 1456 |
Knowledge Qwen3.8 27B leads
Qwen3-4B: 33.0 (#208), Qwen3.8 27B: 41.6 (#109)
| Benchmark | Qwen3-4B | Qwen3.8 27B |
|---|---|---|
| GPQA Diamond | 52.3% | — |
| Vectara Hallucination Rate | 5.7% | — |
| LMArena Expert | — | 1482 |
Multimodal Not comparable
Qwen3-4B: —, Qwen3.8 27B: 41.3 (#37)
| Benchmark | Qwen3-4B | Qwen3.8 27B |
|---|---|---|
| LMArena Vision | — | 1271 |
Multilingual Not comparable
Qwen3-4B: —, Qwen3.8 27B: 53.7 (#60)
| Benchmark | Qwen3-4B | Qwen3.8 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)
| Benchmark | Qwen3-4B | Qwen3.8 27B |
|---|---|---|
| LMArena Instruction Following | — | 1439 |
Long Context Not comparable
Qwen3-4B: —, Qwen3.8 27B: 44.3 (#70)
| Benchmark | Qwen3-4B | Qwen3.8 27B |
|---|---|---|
| LMArena Longer Query | — | 1450 |
Writing & Preference Not comparable
Qwen3-4B: —, Qwen3.8 27B: 65.8 (#43)
| Benchmark | Qwen3-4B | Qwen3.8 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.