Model comparison
Qwen3-30B-A3B vs Yi-Lightning
Qwen3-30B-A3B is the stronger model overall, scoring 38.5 to 36.5 on the Noometry Index.
Last verified . 17 shared benchmarks.
Alibaba (Qwen)Summary
- They share 17 benchmarks with published results for both. Qwen3-30B-A3B scores higher in 6 categories and Yi-Lightning in 2 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in coding, where Qwen3-30B-A3B leads 37.0 to 27.0.
- Qwen3-30B-A3B has downloadable open weights; the other is API-only.
Side by side
| Qwen3-30B-A3B | Yi-Lightning | |
|---|---|---|
| Provider | Alibaba (Qwen) | 01.AI |
| Noometry Index | 38.5 | 36.5 |
| Released | 2025-04-28 | 2024-12-02 |
| Weights | Open | Proprietary |
| Context window | 41K | — |
| Max output | 16K | — |
| Input $ / M tokens | $0.12 | — |
| Output $ / M tokens | $0.50 | — |
| Results tracked | 32 | 18 |
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Category by category
Coding Qwen3-30B-A3B leads
Qwen3-30B-A3B: 37.0 (#188), Yi-Lightning: 27.0 (#315)
| Benchmark | Qwen3-30B-A3B | Yi-Lightning |
|---|---|---|
| LMArena Coding | 1416 | 1313 |
| Aider Polyglot | — | 12.9% |
| SciCode | 33.3% | — |
| WeirdML | 29.8% | — |
Agentic & Tool Use Not comparable
Qwen3-30B-A3B: 29.5 (#75), Yi-Lightning: —
| Benchmark | Qwen3-30B-A3B | Yi-Lightning |
|---|---|---|
| Berkeley Function Calling Leaderboard | 41.4% | — |
Reasoning Yi-Lightning leads
Qwen3-30B-A3B: 21.6 (#193), Yi-Lightning: 24.9 (#137)
| Benchmark | Qwen3-30B-A3B | Yi-Lightning |
|---|---|---|
| LMArena Hard Prompts | 1398 | 1302 |
| Kagi LLM Benchmark | 54.9% | — |
| CritPt | 0.3% | — |
| Chess Puzzles | 8% | — |
| DTBench | 69.3% | — |
| LMCA | 22.4% | — |
| Epoch Capabilities Index | 139.63 | — |
Math Qwen3-30B-A3B leads
Qwen3-30B-A3B: 36.0 (#133), Yi-Lightning: 33.5 (#173)
| Benchmark | Qwen3-30B-A3B | Yi-Lightning |
|---|---|---|
| LMArena Math | 1394 | 1300 |
| MathArena Final-Answer Competitions | 47.8% | — |
| OTIS Mock AIME 2024-2025 | 70.3% | — |
Knowledge Qwen3-30B-A3B leads
Qwen3-30B-A3B: 41.7 (#96), Yi-Lightning: 34.8 (#182)
| Benchmark | Qwen3-30B-A3B | Yi-Lightning |
|---|---|---|
| LMArena Expert | 1395 | 1286 |
| GPQA Diamond | 70.1% | — |
| Confabulations | 12.3% | — |
Multilingual Qwen3-30B-A3B leads
Qwen3-30B-A3B: 49.8 (#126), Yi-Lightning: 42.4 (#191)
| Benchmark | Qwen3-30B-A3B | Yi-Lightning |
|---|---|---|
| LMArena Non-English | 1372 | 1269 |
| LMArena Chinese | 1434 | 1320 |
| LMArena French | 1419 | 1304 |
| LMArena German | 1379 | 1267 |
| LMArena Japanese | 1338 | 1228 |
| LMArena Korean | 1333 | 1192 |
| LMArena Russian | 1369 | 1255 |
| LMArena Spanish | 1403 | 1315 |
Instruction Following Qwen3-30B-A3B leads
Qwen3-30B-A3B: 72.2 (#137), Yi-Lightning: 67.6 (#191)
| Benchmark | Qwen3-30B-A3B | Yi-Lightning |
|---|---|---|
| LMArena Instruction Following | 1364 | 1278 |
Long Context Yi-Lightning leads
Qwen3-30B-A3B: 31.0 (#278), Yi-Lightning: 39.4 (#176)
| Benchmark | Qwen3-30B-A3B | Yi-Lightning |
|---|---|---|
| LMArena Longer Query | 1379 | 1297 |
| Fiction.LiveBench | 40.6% | — |
Writing & Preference Qwen3-30B-A3B leads
Qwen3-30B-A3B: 55.9 (#138), Yi-Lightning: 50.4 (#178)
| Benchmark | Qwen3-30B-A3B | Yi-Lightning |
|---|---|---|
| LMArena Text | 1384 | 1302 |
| LMArena Creative Writing | 1318 | 1280 |
| LMArena Multi-Turn | 1378 | 1311 |
| Short-Story Creative Writing | 75.3% | — |
Frequently asked questions
Is Qwen3-30B-A3B better than Yi-Lightning?
Qwen3-30B-A3B is the stronger model overall, scoring 38.5 to 36.5 on the Noometry Index.
Is Qwen3-30B-A3B or Yi-Lightning better for coding?
Qwen3-30B-A3B scores higher on coding benchmarks: 37.0 versus 27.0 in the Noometry coding category.
How many benchmarks do Qwen3-30B-A3B and Yi-Lightning share?
17 benchmarks have published results for both models. Qwen3-30B-A3B has 32 scored results on Noometry and Yi-Lightning has 18.