# Qwen3-Next 80B-A3B Instruct vs Yi-Lightning

> Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 43.0 to 37.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/qwen3-next-80b-a3b-instruct-vs-yi-lightning
- Last updated: 2026-10-12
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. Qwen3-Next 80B-A3B Instruct 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-Next 80B-A3B Instruct leads 42.5 to 27.4.
- Qwen3-Next 80B-A3B Instruct has downloadable open weights; the other is API-only.

## Snapshot

| | Qwen3-Next 80B-A3B Instruct | Yi-Lightning |
|---|---|---|
| Provider | Alibaba (Qwen) | 01.AI |
| Noometry Index | 43.0 | 37.1 |
| Rank | 102 | 209 |
| Context | 131K | — |
| Input $/M | $0.50 | — |
| Output $/M | $2 | — |
| Weights | Open | Proprietary |

## Coding

- Qwen3-Next 80B-A3B Instruct: 42.5 (#98)
- Yi-Lightning: 27.4 (#320)

| Benchmark | Qwen3-Next 80B-A3B Instruct | Yi-Lightning |
|---|---|---|
| LMArena Coding | 1440 | 1312 |
| Aider Polyglot | — | 12.9% |

## Reasoning

- Qwen3-Next 80B-A3B Instruct: 31.1 (#81)
- Yi-Lightning: 25.9 (#139)

| Benchmark | Qwen3-Next 80B-A3B Instruct | Yi-Lightning |
|---|---|---|
| LMArena Hard Prompts | 1428 | 1302 |
| Kagi LLM Benchmark | 66.7% | — |

## Math

- Qwen3-Next 80B-A3B Instruct: 38.8 (#126)
- Yi-Lightning: 36.2 (#172)

| Benchmark | Qwen3-Next 80B-A3B Instruct | Yi-Lightning |
|---|---|---|
| LMArena Math | 1440 | 1300 |
| Omni-MATH | 46.7% | — |

## Knowledge

- Qwen3-Next 80B-A3B Instruct: 41.8 (#106)
- Yi-Lightning: 35.4 (#185)

| Benchmark | Qwen3-Next 80B-A3B Instruct | Yi-Lightning |
|---|---|---|
| LMArena Expert | 1417 | 1286 |
| MMLU-Pro | 78.6% | — |
| Vectara Hallucination Rate | 9.3% | — |
| GPQA (HELM) | 63% | — |

## Multilingual

- Qwen3-Next 80B-A3B Instruct: 52.1 (#93)
- Yi-Lightning: 42.2 (#196)

| Benchmark | Qwen3-Next 80B-A3B Instruct | Yi-Lightning |
|---|---|---|
| LMArena Non-English | 1407 | 1269 |
| LMArena Chinese | 1460 | 1320 |
| LMArena French | 1413 | 1305 |
| LMArena German | 1417 | 1267 |
| LMArena Japanese | 1395 | 1228 |
| LMArena Korean | 1364 | 1192 |
| LMArena Russian | 1404 | 1255 |
| LMArena Spanish | 1435 | 1315 |

## Instruction Following

- Qwen3-Next 80B-A3B Instruct: 70.8 (#159)
- Yi-Lightning: 67.4 (#196)

| Benchmark | Qwen3-Next 80B-A3B Instruct | Yi-Lightning |
|---|---|---|
| LMArena Instruction Following | 1389 | 1278 |
| IFEval | 81% | — |

## Long Context

- Qwen3-Next 80B-A3B Instruct: 37.0 (#223)
- Yi-Lightning: 39.4 (#181)

| Benchmark | Qwen3-Next 80B-A3B Instruct | Yi-Lightning |
|---|---|---|
| LMArena Longer Query | 1403 | 1297 |
| Fiction.LiveBench | 55.6% | — |

## Writing & Preference

- Qwen3-Next 80B-A3B Instruct: 58.0 (#121)
- Yi-Lightning: 50.2 (#184)

| Benchmark | Qwen3-Next 80B-A3B Instruct | Yi-Lightning |
|---|---|---|
| LMArena Text | 1417 | 1302 |
| LMArena Creative Writing | 1334 | 1280 |
| LMArena Multi-Turn | 1416 | 1311 |
| WildBench | 80.7% | — |

## FAQ

### Is Qwen3-Next 80B-A3B Instruct better than Yi-Lightning?

Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 43.0 to 37.1 on the Noometry Index.

### Is Qwen3-Next 80B-A3B Instruct or Yi-Lightning better for coding?

Qwen3-Next 80B-A3B Instruct scores higher on coding benchmarks: 42.5 versus 27.4 in the Noometry coding category.

### How many benchmarks do Qwen3-Next 80B-A3B Instruct and Yi-Lightning share?

17 benchmarks have published results for both models. Qwen3-Next 80B-A3B Instruct has 25 scored results on Noometry and Yi-Lightning has 18.