Model comparison
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.
Last verified . 9 shared benchmarks.
Alibaba (Qwen)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.
Side by side
| Mercury | Qwen3-Next 80B-A3B Instruct | |
|---|---|---|
| Provider | Inception | Alibaba (Qwen) |
| Noometry Index | 37.6 | 43.0 |
| Released | — | 2025-09 |
| Weights | Proprietary | Open |
| Context window | — | 131K |
| Max output | — | 33K |
| Input $ / M tokens | — | $0.50 |
| Output $ / M tokens | — | $2 |
| Results tracked | 9 | 25 |
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Category by category
Coding Qwen3-Next 80B-A3B Instruct leads
Mercury: 38.7 (#170), Qwen3-Next 80B-A3B Instruct: 42.5 (#98)
| Benchmark | Mercury | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Coding | 1322 | 1440 |
Reasoning Qwen3-Next 80B-A3B Instruct leads
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 Not comparable
Mercury: —, Qwen3-Next 80B-A3B Instruct: 38.8 (#126)
| Benchmark | Mercury | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Omni-MATH | — | 46.7% |
| LMArena Math | — | 1440 |
Knowledge Not comparable
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 Qwen3-Next 80B-A3B Instruct leads
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 Qwen3-Next 80B-A3B Instruct leads
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 leads
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 Qwen3-Next 80B-A3B Instruct leads
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% |
Frequently asked questions
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.