Model comparison
Qwen-14B vs Qwen3.8 27B
Qwen3.8 27B is the stronger model overall, scoring 46.0 to 31.4 on the Noometry Index.
Last verified . 11 shared benchmarks.
Alibaba (Qwen)Summary
- They share 11 benchmarks with published results for both. Qwen-14B scores higher in 0 categories and Qwen3.8 27B in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3.8 27B leads 65.8 to 27.6.
Side by side
| Qwen-14B | Qwen3.8 27B | |
|---|---|---|
| Provider | Alibaba (Qwen) | Alibaba (Qwen) |
| Noometry Index | 31.4 | 46.0 |
| Released | 2023-09-24 | 2026-08-14 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 33K |
| Input $ / M tokens | — | $0.99 |
| Output $ / M tokens | — | $1.49 |
| Results tracked | 18 | 31 |
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Category by category
Coding Qwen3.8 27B leads
Qwen-14B: 31.2 (#288), Qwen3.8 27B: 50.5 (#44)
| Benchmark | Qwen-14B | Qwen3.8 27B |
|---|---|---|
| LMArena Coding | 1071 | 1482 |
| LMArena WebDev | — | 1593 |
| SciCode | — | 46.6% |
Agentic & Tool Use Not comparable
Qwen-14B: —, Qwen3.8 27B: 32.9 (#57)
| Benchmark | Qwen-14B | Qwen3.8 27B |
|---|---|---|
| APEX-Agents | — | 47.5% |
Reasoning Qwen3.8 27B leads
Qwen-14B: 19.6 (#257), Qwen3.8 27B: 41.0 (#54)
| Benchmark | Qwen-14B | Qwen3.8 27B |
|---|---|---|
| LMArena Hard Prompts | 1027 | 1460 |
| Epoch Capabilities Index | 113.03 | 149.38 |
| ARC-AGI-2 | — | 42.4% |
| NYT Connections (extended) | — | 54.5% |
| ARC-AGI-1 | — | 87.5% |
| CritPt | — | 5.4% |
| DTBench | — | 88% |
| LMCA | — | 41.4% |
| Surface Evolver Bench | — | 45% |
| BIG-Bench Hard | 55% | — |
| LAMBADA | 71.1% | — |
| PIQA | 79.9% | — |
Math Qwen3.8 27B leads
Qwen-14B: 31.2 (#227), Qwen3.8 27B: 37.1 (#161)
| Benchmark | Qwen-14B | Qwen3.8 27B |
|---|---|---|
| LMArena Math | 1068 | 1456 |
| ProofBench | — | 16% |
| GSM8K | 61.3% | — |
Knowledge Not comparable
Qwen-14B: —, Qwen3.8 27B: 41.6 (#109)
| Benchmark | Qwen-14B | Qwen3.8 27B |
|---|---|---|
| LMArena Expert | — | 1482 |
| ARC (AI2) Challenge | 84.4% | — |
| BoolQ | 86.2% | — |
| MMLU | 66.3% | — |
Multimodal Not comparable
Qwen-14B: —, Qwen3.8 27B: 41.3 (#37)
| Benchmark | Qwen-14B | Qwen3.8 27B |
|---|---|---|
| LMArena Vision | — | 1271 |
Multilingual Qwen3.8 27B leads
Qwen-14B: 27.5 (#275), Qwen3.8 27B: 53.7 (#60)
| Benchmark | Qwen-14B | Qwen3.8 27B |
|---|---|---|
| LMArena Non-English | 1041 | 1430 |
| LMArena Chinese | 1077 | 1504 |
| LMArena French | — | 1465 |
| LMArena German | — | 1438 |
| LMArena Japanese | — | 1384 |
| LMArena Korean | — | 1393 |
| LMArena Russian | — | 1415 |
| LMArena Spanish | — | 1448 |
Instruction Following Qwen3.8 27B leads
Qwen-14B: 52.4 (#289), Qwen3.8 27B: 75.8 (#53)
| Benchmark | Qwen-14B | Qwen3.8 27B |
|---|---|---|
| LMArena Instruction Following | 1031 | 1439 |
Long Context Qwen3.8 27B leads
Qwen-14B: 31.3 (#280), Qwen3.8 27B: 44.3 (#70)
| Benchmark | Qwen-14B | Qwen3.8 27B |
|---|---|---|
| LMArena Longer Query | 1028 | 1450 |
Writing & Preference Qwen3.8 27B leads
Qwen-14B: 27.6 (#299), Qwen3.8 27B: 65.8 (#43)
| Benchmark | Qwen-14B | Qwen3.8 27B |
|---|---|---|
| LMArena Text | 1051 | 1441 |
| LMArena Creative Writing | 1028 | 1384 |
| LMArena Multi-Turn | 1022 | 1441 |
| EQ-Bench Creative Writing | — | 1671 |
Frequently asked questions
Is Qwen-14B better than Qwen3.8 27B?
Qwen3.8 27B is the stronger model overall, scoring 46.0 to 31.4 on the Noometry Index.
Is Qwen-14B or Qwen3.8 27B better for coding?
Qwen3.8 27B scores higher on coding benchmarks: 50.5 versus 31.2 in the Noometry coding category.
How many benchmarks do Qwen-14B and Qwen3.8 27B share?
11 benchmarks have published results for both models. Qwen-14B has 18 scored results on Noometry and Qwen3.8 27B has 31.