# Mercury vs Qwen3-Next 80B-A3B Instruct

> Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 43.0 to 37.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/mercury-vs-qwen3-next-80b-a3b-instruct
- Last updated: 2026-10-12
- Shared benchmarks: 9

## Summary

- They share 9 benchmarks with published results for both. Mercury scores higher in 1 category and Qwen3-Next 80B-A3B Instruct in 5 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Qwen3-Next 80B-A3B Instruct leads 31.1 to 17.5.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 21.6% for Mercury and 66.7% for Qwen3-Next 80B-A3B Instruct.
- Qwen3-Next 80B-A3B Instruct has downloadable open weights; the other is API-only.

## Snapshot

| | Mercury | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Provider | Inception | Alibaba (Qwen) |
| Noometry Index | 37.6 | 43.0 |
| Rank | 199 | 102 |
| Context | — | 131K |
| Input $/M | — | $0.50 |
| Output $/M | — | $2 |
| Weights | Proprietary | Open |

## Coding

- Mercury: 38.7 (#170)
- Qwen3-Next 80B-A3B Instruct: 42.5 (#98)

| Benchmark | Mercury | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Coding | 1322 | 1440 |

## Reasoning

- Mercury: 17.5 (#293)
- Qwen3-Next 80B-A3B Instruct: 31.1 (#81)

| Benchmark | Mercury | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Kagi LLM Benchmark | 21.6% | 66.7% |
| LMArena Hard Prompts | 1285 | 1428 |

## Math

- Mercury: —
- Qwen3-Next 80B-A3B Instruct: 38.8 (#126)

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

## Knowledge

- Mercury: —
- Qwen3-Next 80B-A3B Instruct: 41.8 (#106)

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

## Multilingual

- Mercury: 41.6 (#206)
- Qwen3-Next 80B-A3B Instruct: 52.1 (#93)

| Benchmark | Mercury | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Non-English | 1260 | 1407 |
| LMArena Chinese | — | 1460 |
| LMArena French | — | 1413 |
| LMArena German | — | 1417 |
| LMArena Japanese | — | 1395 |
| LMArena Korean | — | 1364 |
| LMArena Russian | — | 1404 |
| LMArena Spanish | — | 1435 |

## Instruction Following

- Mercury: 65.2 (#224)
- Qwen3-Next 80B-A3B Instruct: 70.8 (#159)

| Benchmark | Mercury | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Instruction Following | 1239 | 1389 |
| IFEval | — | 81% |

## Long Context

- Mercury: 38.4 (#198)
- Qwen3-Next 80B-A3B Instruct: 37.0 (#223)

| Benchmark | Mercury | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Longer Query | 1266 | 1403 |
| Fiction.LiveBench | — | 55.6% |

## Writing & Preference

- Mercury: 46.2 (#221)
- Qwen3-Next 80B-A3B Instruct: 58.0 (#121)

| Benchmark | Mercury | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Text | 1282 | 1417 |
| LMArena Creative Writing | 1191 | 1334 |
| LMArena Multi-Turn | 1282 | 1416 |
| WildBench | — | 80.7% |

## FAQ

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

Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 43.0 to 37.6 on the Noometry Index.

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

Qwen3-Next 80B-A3B Instruct scores higher on coding benchmarks: 42.5 versus 38.7 in the Noometry coding category.

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

9 benchmarks have published results for both models. Mercury has 9 scored results on Noometry and Qwen3-Next 80B-A3B Instruct has 25.