Model comparison
Qwen3.8 27B vs Yi-Lightning
Qwen3.8 27B is the stronger model overall, scoring 46.0 to 37.1 on the Noometry Index.
Last verified . 17 shared benchmarks.
Alibaba (Qwen)Summary
- They share 17 benchmarks with published results for both. Qwen3.8 27B scores higher in 8 categories and Yi-Lightning in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in coding, where Qwen3.8 27B leads 50.5 to 27.4.
- Qwen3.8 27B has downloadable open weights; the other is API-only.
Side by side
| Qwen3.8 27B | Yi-Lightning | |
|---|---|---|
| Provider | Alibaba (Qwen) | 01.AI |
| Noometry Index | 46.0 | 37.1 |
| Released | 2026-08-14 | 2024-12-02 |
| Weights | Open | Proprietary |
| Context window | 262K | — |
| Max output | 33K | — |
| Input $ / M tokens | $0.04 | — |
| Output $ / M tokens | $2.30 | — |
| Results tracked | 31 | 18 |
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Category by category
Coding Qwen3.8 27B leads
Qwen3.8 27B: 50.5 (#44), Yi-Lightning: 27.4 (#320)
| Benchmark | Qwen3.8 27B | Yi-Lightning |
|---|---|---|
| LMArena Coding | 1482 | 1312 |
| Aider Polyglot | — | 12.9% |
| LMArena WebDev | 1593 | — |
| SciCode | 46.6% | — |
Agentic & Tool Use Not comparable
Qwen3.8 27B: 32.9 (#57), Yi-Lightning: —
| Benchmark | Qwen3.8 27B | Yi-Lightning |
|---|---|---|
| APEX-Agents | 47.5% | — |
Reasoning Qwen3.8 27B leads
Qwen3.8 27B: 41.0 (#54), Yi-Lightning: 25.9 (#139)
| Benchmark | Qwen3.8 27B | Yi-Lightning |
|---|---|---|
| LMArena Hard Prompts | 1460 | 1302 |
| 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% | — |
| Epoch Capabilities Index | 149.38 | — |
Math Too close to call
Qwen3.8 27B: 37.1 (#161), Yi-Lightning: 36.2 (#172)
| Benchmark | Qwen3.8 27B | Yi-Lightning |
|---|---|---|
| LMArena Math | 1456 | 1300 |
| ProofBench | 16% | — |
Knowledge Qwen3.8 27B leads
Qwen3.8 27B: 41.6 (#109), Yi-Lightning: 35.4 (#185)
| Benchmark | Qwen3.8 27B | Yi-Lightning |
|---|---|---|
| LMArena Expert | 1482 | 1286 |
Multimodal Not comparable
Qwen3.8 27B: 41.3 (#37), Yi-Lightning: —
| Benchmark | Qwen3.8 27B | Yi-Lightning |
|---|---|---|
| LMArena Vision | 1271 | — |
Multilingual Qwen3.8 27B leads
Qwen3.8 27B: 53.7 (#60), Yi-Lightning: 42.2 (#196)
| Benchmark | Qwen3.8 27B | Yi-Lightning |
|---|---|---|
| LMArena Non-English | 1430 | 1269 |
| LMArena Chinese | 1504 | 1320 |
| LMArena French | 1465 | 1305 |
| LMArena German | 1438 | 1267 |
| LMArena Japanese | 1384 | 1228 |
| LMArena Korean | 1393 | 1192 |
| LMArena Russian | 1415 | 1255 |
| LMArena Spanish | 1448 | 1315 |
Instruction Following Qwen3.8 27B leads
Qwen3.8 27B: 75.8 (#53), Yi-Lightning: 67.4 (#196)
| Benchmark | Qwen3.8 27B | Yi-Lightning |
|---|---|---|
| LMArena Instruction Following | 1439 | 1278 |
Long Context Qwen3.8 27B leads
Qwen3.8 27B: 44.3 (#70), Yi-Lightning: 39.4 (#181)
| Benchmark | Qwen3.8 27B | Yi-Lightning |
|---|---|---|
| LMArena Longer Query | 1450 | 1297 |
Writing & Preference Qwen3.8 27B leads
Qwen3.8 27B: 65.8 (#43), Yi-Lightning: 50.2 (#184)
| Benchmark | Qwen3.8 27B | Yi-Lightning |
|---|---|---|
| LMArena Text | 1441 | 1302 |
| LMArena Creative Writing | 1384 | 1280 |
| LMArena Multi-Turn | 1441 | 1311 |
| EQ-Bench Creative Writing | 1671 | — |
Frequently asked questions
Is Qwen3.8 27B better than Yi-Lightning?
Qwen3.8 27B is the stronger model overall, scoring 46.0 to 37.1 on the Noometry Index.
Is Qwen3.8 27B or Yi-Lightning better for coding?
Qwen3.8 27B scores higher on coding benchmarks: 50.5 versus 27.4 in the Noometry coding category.
How many benchmarks do Qwen3.8 27B and Yi-Lightning share?
17 benchmarks have published results for both models. Qwen3.8 27B has 31 scored results on Noometry and Yi-Lightning has 18.