Model comparison
Muse Glimmer vs Qwen3-Next 80B-A3B Instruct
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 43.0 to 41.7 on the Noometry Index.
Last verified . 12 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 12 benchmarks with published results for both. Muse Glimmer scores higher in 3 categories 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 25.7.
Side by side
| Muse Glimmer | Qwen3-Next 80B-A3B Instruct | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 41.7 | 43.0 |
| Released | 2026-08-10 | 2025-09 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 33K |
| Input $ / M tokens | — | $0.50 |
| Output $ / M tokens | — | $2 |
| Results tracked | 15 | 25 |
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Category by category
Coding Qwen3-Next 80B-A3B Instruct leads
Muse Glimmer: 40.4 (#142), Qwen3-Next 80B-A3B Instruct: 42.5 (#98)
| Benchmark | Muse Glimmer | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Coding | 1416 | 1440 |
| LMArena WebDev | 1355 | — |
| SciCode | 44.9% | — |
Reasoning Qwen3-Next 80B-A3B Instruct leads
Muse Glimmer: 25.7 (#144), Qwen3-Next 80B-A3B Instruct: 31.1 (#81)
| Benchmark | Muse Glimmer | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1396 | 1428 |
| Kagi LLM Benchmark | — | 66.7% |
| CritPt | 2.6% | — |
Math Too close to call
Muse Glimmer: 38.8 (#125), Qwen3-Next 80B-A3B Instruct: 38.8 (#126)
| Benchmark | Muse Glimmer | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Math | 1417 | 1440 |
| Omni-MATH | — | 46.7% |
Knowledge Qwen3-Next 80B-A3B Instruct leads
Muse Glimmer: 38.5 (#143), Qwen3-Next 80B-A3B Instruct: 41.8 (#106)
| Benchmark | Muse Glimmer | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Expert | 1386 | 1417 |
| MMLU-Pro | — | 78.6% |
| Vectara Hallucination Rate | — | 9.3% |
| GPQA (HELM) | — | 63% |
Multilingual Qwen3-Next 80B-A3B Instruct leads
Muse Glimmer: 50.5 (#122), Qwen3-Next 80B-A3B Instruct: 52.1 (#93)
| Benchmark | Muse Glimmer | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Non-English | 1384 | 1407 |
| LMArena Chinese | 1412 | 1460 |
| LMArena Russian | 1390 | 1404 |
| LMArena French | — | 1413 |
| LMArena German | — | 1417 |
| LMArena Japanese | — | 1395 |
| LMArena Korean | — | 1364 |
| LMArena Spanish | — | 1435 |
Instruction Following Muse Glimmer leads
Muse Glimmer: 72.6 (#135), Qwen3-Next 80B-A3B Instruct: 70.8 (#159)
| Benchmark | Muse Glimmer | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Instruction Following | 1375 | 1389 |
| IFEval | — | 81% |
Long Context Muse Glimmer leads
Muse Glimmer: 42.1 (#129), Qwen3-Next 80B-A3B Instruct: 37.0 (#223)
| Benchmark | Muse Glimmer | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Longer Query | 1382 | 1403 |
| Fiction.LiveBench | — | 55.6% |
Writing & Preference Too close to call
Muse Glimmer: 57.5 (#126), Qwen3-Next 80B-A3B Instruct: 58.0 (#121)
| Benchmark | Muse Glimmer | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Text | 1389 | 1417 |
| LMArena Creative Writing | 1339 | 1334 |
| LMArena Multi-Turn | 1399 | 1416 |
| WildBench | — | 80.7% |
Frequently asked questions
Is Muse Glimmer better than Qwen3-Next 80B-A3B Instruct?
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 43.0 to 41.7 on the Noometry Index.
Is Muse Glimmer or Qwen3-Next 80B-A3B Instruct better for coding?
Qwen3-Next 80B-A3B Instruct scores higher on coding benchmarks: 42.5 versus 40.4 in the Noometry coding category.
How many benchmarks do Muse Glimmer and Qwen3-Next 80B-A3B Instruct share?
12 benchmarks have published results for both models. Muse Glimmer has 15 scored results on Noometry and Qwen3-Next 80B-A3B Instruct has 25.