Model comparison
Qwen3 32B vs Yi-Lightning
Qwen3 32B is the stronger model overall, scoring 38.8 to 36.5 on the Noometry Index.
Last verified . 14 shared benchmarks.
Summary
- They share 14 benchmarks with published results for both. Qwen3 32B scores higher in 7 categories and Yi-Lightning in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in coding, where Qwen3 32B leads 37.3 to 27.0.
- The biggest single-benchmark swing is Aider Polyglot: 40% for Qwen3 32B and 12.9% for Yi-Lightning.
- Qwen3 32B has downloadable open weights; the other is API-only.
Side by side
| Qwen3 32B | Yi-Lightning | |
|---|---|---|
| Provider | Alibaba (Qwen) | 01.AI |
| Noometry Index | 38.8 | 36.5 |
| Released | 2025-04 | 2024-12-02 |
| Weights | Open | Proprietary |
| Context window | 131K | — |
| Max output | 16K | — |
| Input $ / M tokens | $0.70 | — |
| Output $ / M tokens | $2.80 | — |
| Results tracked | 26 | 18 |
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Category by category
Coding Qwen3 32B leads
Qwen3 32B: 37.3 (#184), Yi-Lightning: 27.0 (#315)
| Benchmark | Qwen3 32B | Yi-Lightning |
|---|---|---|
| Aider Polyglot | 40% | 12.9% |
| LMArena Coding | 1358 | 1313 |
| SciCode | 35.4% | — |
Agentic & Tool Use Not comparable
Qwen3 32B: 32.3 (#58), Yi-Lightning: —
| Benchmark | Qwen3 32B | Yi-Lightning |
|---|---|---|
| Berkeley Function Calling Leaderboard | 48.7% | — |
Reasoning Yi-Lightning leads
Qwen3 32B: 19.6 (#233), Yi-Lightning: 24.9 (#137)
| Benchmark | Qwen3 32B | Yi-Lightning |
|---|---|---|
| LMArena Hard Prompts | 1335 | 1302 |
| Kagi LLM Benchmark | 54.9% | — |
| CritPt | 0.3% | — |
| Chess Puzzles | 5% | — |
| DTBench | 67.5% | — |
| LMCA | 17.3% | — |
| Epoch Capabilities Index | 138.51 | — |
Math Qwen3 32B leads
Qwen3 32B: 37.9 (#89), Yi-Lightning: 33.5 (#173)
| Benchmark | Qwen3 32B | Yi-Lightning |
|---|---|---|
| LMArena Math | 1399 | 1300 |
| OTIS Mock AIME 2024-2025 | 66.9% | — |
Knowledge Qwen3 32B leads
Qwen3 32B: 40.0 (#112), Yi-Lightning: 34.8 (#182)
| Benchmark | Qwen3 32B | Yi-Lightning |
|---|---|---|
| LMArena Expert | 1362 | 1286 |
| GPQA Diamond | 65.7% | — |
| Vectara Hallucination Rate | 5.9% | — |
Multilingual Qwen3 32B leads
Qwen3 32B: 45.8 (#162), Yi-Lightning: 42.4 (#191)
| Benchmark | Qwen3 32B | Yi-Lightning |
|---|---|---|
| LMArena Non-English | 1317 | 1269 |
| LMArena Chinese | 1357 | 1320 |
| LMArena German | 1341 | 1267 |
| LMArena Russian | 1311 | 1255 |
| LMArena French | — | 1304 |
| LMArena Japanese | — | 1228 |
| LMArena Korean | — | 1192 |
| LMArena Spanish | — | 1315 |
Instruction Following Qwen3 32B leads
Qwen3 32B: 69.1 (#174), Yi-Lightning: 67.6 (#191)
| Benchmark | Qwen3 32B | Yi-Lightning |
|---|---|---|
| LMArena Instruction Following | 1305 | 1278 |
Long Context Qwen3 32B leads
Qwen3 32B: 43.7 (#83), Yi-Lightning: 39.4 (#176)
| Benchmark | Qwen3 32B | Yi-Lightning |
|---|---|---|
| LMArena Longer Query | 1327 | 1297 |
| Fiction.LiveBench | 74.2% | — |
Writing & Preference Qwen3 32B leads
Qwen3 32B: 53.1 (#158), Yi-Lightning: 50.4 (#178)
| Benchmark | Qwen3 32B | Yi-Lightning |
|---|---|---|
| LMArena Text | 1340 | 1302 |
| LMArena Creative Writing | 1297 | 1280 |
| LMArena Multi-Turn | 1331 | 1311 |
Frequently asked questions
Is Qwen3 32B better than Yi-Lightning?
Qwen3 32B is the stronger model overall, scoring 38.8 to 36.5 on the Noometry Index.
Is Qwen3 32B or Yi-Lightning better for coding?
Qwen3 32B scores higher on coding benchmarks: 37.3 versus 27.0 in the Noometry coding category.
How many benchmarks do Qwen3 32B and Yi-Lightning share?
14 benchmarks have published results for both models. Qwen3 32B has 26 scored results on Noometry and Yi-Lightning has 18.