# Qwen3-30B-A3B vs Yi-Lightning

> Qwen3-30B-A3B is the stronger model overall, scoring 38.5 to 36.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/qwen3-30b-a3b-vs-yi-lightning
- Last updated: 2026-10-10
- Shared benchmarks: 17

## 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.

## Snapshot

| | Qwen3-30B-A3B | Yi-Lightning |
|---|---|---|
| Provider | Alibaba (Qwen) | 01.AI |
| Noometry Index | 38.5 | 36.5 |
| Rank | 174 | 206 |
| Context | 41K | — |
| Input $/M | $0.12 | — |
| Output $/M | $0.50 | — |
| Weights | Open | Proprietary |

## Coding

- 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

- Qwen3-30B-A3B: 29.5 (#75)
- Yi-Lightning: —

| Benchmark | Qwen3-30B-A3B | Yi-Lightning |
|---|---|---|
| Berkeley Function Calling Leaderboard | 41.4% | — |

## Reasoning

- 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: 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: 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: 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: 72.2 (#137)
- Yi-Lightning: 67.6 (#191)

| Benchmark | Qwen3-30B-A3B | Yi-Lightning |
|---|---|---|
| LMArena Instruction Following | 1364 | 1278 |

## Long Context

- 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: 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% | — |

## FAQ

### 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.