Model comparison
Muse Spark 1.3 vs Qwen3-Next 80B-A3B Instruct
Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 43.0 on the Noometry Index. Qwen3-Next 80B-A3B Instruct costs 2.3× less per token, which makes it the better buy when Muse Spark 1.3's lead doesn't matter for your workload.
Last verified . 17 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 17 benchmarks with published results for both. Muse Spark 1.3 scores higher in 8 categories and Qwen3-Next 80B-A3B Instruct in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Muse Spark 1.3 leads 73.1 to 38.8.
- Qwen3-Next 80B-A3B Instruct is cheaper at $0.50 / $2 per million input/output tokens, against $1.25 / $4.25 for Muse Spark 1.3.
- Muse Spark 1.3 accepts more context: 1.05M tokens versus 131K.
- Qwen3-Next 80B-A3B Instruct has downloadable open weights; the other is API-only.
Side by side
| Muse Spark 1.3 | Qwen3-Next 80B-A3B Instruct | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 54.8 | 43.0 |
| Released | 2026-09-02 | 2025-09 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 131K |
| Max output | 131K | 33K |
| Input $ / M tokens | $1.25 | $0.50 |
| Output $ / M tokens | $4.25 | $2 |
| Results tracked | 37 | 25 |
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Category by category
Coding Muse Spark 1.3 leads
Muse Spark 1.3: 56.6 (#21), Qwen3-Next 80B-A3B Instruct: 42.5 (#98)
| Benchmark | Muse Spark 1.3 | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Coding | 1514 | 1440 |
| CursorBench | 41.6% | — |
| LMArena WebDev | 1657 | — |
| SciCode | 59.7% | — |
Agentic & Tool Use Not comparable
Muse Spark 1.3: 38.6 (#30), Qwen3-Next 80B-A3B Instruct: —
| Benchmark | Muse Spark 1.3 | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| APEX-Agents | 57.8% | — |
| GDP.pdf | 27.6% | — |
Reasoning Muse Spark 1.3 leads
Muse Spark 1.3: 54.0 (#27), Qwen3-Next 80B-A3B Instruct: 31.1 (#81)
| Benchmark | Muse Spark 1.3 | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1503 | 1428 |
| Kagi LLM Benchmark | — | 66.7% |
| NYT Connections (extended) | 85.1% | — |
| CritPt | 26% | — |
| Chess Puzzles | 38% | — |
| Mystery Game Puzzles | 25% | — |
| DTBench | 96.5% | — |
| LMCA | 53.9% | — |
| Bench to the Future 3 | 0.14 | — |
| Epoch Capabilities Index | 156.75 | — |
Math Muse Spark 1.3 leads
Muse Spark 1.3: 73.1 (#21), Qwen3-Next 80B-A3B Instruct: 38.8 (#126)
| Benchmark | Muse Spark 1.3 | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Math | 1494 | 1440 |
| FrontierMath (Tiers 1-3) | 74.4% | — |
| FrontierMath Tier 4 | 46.3% | — |
| OTIS Mock AIME 2024-2025 | 99.2% | — |
| ProofBench | 58% | — |
| Omni-MATH | — | 46.7% |
Knowledge Too close to call
Muse Spark 1.3: 42.6 (#95), Qwen3-Next 80B-A3B Instruct: 41.8 (#106)
| Benchmark | Muse Spark 1.3 | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Expert | 1516 | 1417 |
| MMLU-Pro | — | 78.6% |
| Vectara Hallucination Rate | — | 9.3% |
| GPQA (HELM) | — | 63% |
Multimodal Not comparable
Muse Spark 1.3: 43.7 (#22), Qwen3-Next 80B-A3B Instruct: —
| Benchmark | Muse Spark 1.3 | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Vision | 1309 | — |
| LMArena Document | 1471 | — |
Multilingual Muse Spark 1.3 leads
Muse Spark 1.3: 57.4 (#8), Qwen3-Next 80B-A3B Instruct: 52.1 (#93)
| Benchmark | Muse Spark 1.3 | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Non-English | 1481 | 1407 |
| LMArena Chinese | 1529 | 1460 |
| LMArena French | 1524 | 1413 |
| LMArena German | 1515 | 1417 |
| LMArena Japanese | 1474 | 1395 |
| LMArena Korean | 1501 | 1364 |
| LMArena Russian | 1490 | 1404 |
| LMArena Spanish | 1490 | 1435 |
Instruction Following Muse Spark 1.3 leads
Muse Spark 1.3: 77.5 (#22), Qwen3-Next 80B-A3B Instruct: 70.8 (#159)
| Benchmark | Muse Spark 1.3 | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Instruction Following | 1477 | 1389 |
| IFEval | — | 81% |
Long Context Muse Spark 1.3 leads
Muse Spark 1.3: 45.6 (#32), Qwen3-Next 80B-A3B Instruct: 37.0 (#223)
| Benchmark | Muse Spark 1.3 | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Longer Query | 1488 | 1403 |
| Fiction.LiveBench | — | 55.6% |
Writing & Preference Muse Spark 1.3 leads
Muse Spark 1.3: 73.6 (#9), Qwen3-Next 80B-A3B Instruct: 58.0 (#121)
| Benchmark | Muse Spark 1.3 | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Text | 1490 | 1417 |
| LMArena Creative Writing | 1455 | 1334 |
| LMArena Multi-Turn | 1482 | 1416 |
| EQ-Bench Creative Writing | 1906 | — |
| WildBench | — | 80.7% |
Frequently asked questions
Is Muse Spark 1.3 better than Qwen3-Next 80B-A3B Instruct?
Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 43.0 on the Noometry Index. Qwen3-Next 80B-A3B Instruct costs 2.3× less per token, which makes it the better buy when Muse Spark 1.3's lead doesn't matter for your workload.
Which is cheaper, Muse Spark 1.3 or Qwen3-Next 80B-A3B Instruct?
Qwen3-Next 80B-A3B Instruct is cheaper. It lists at $0.50 per million input tokens and $2 per million output tokens; Muse Spark 1.3 lists at $1.25 and $4.25.
Is Muse Spark 1.3 or Qwen3-Next 80B-A3B Instruct better for coding?
Muse Spark 1.3 scores higher on coding benchmarks: 56.6 versus 42.5 in the Noometry coding category.
Which has the bigger context window?
Muse Spark 1.3 does, with 1.05M tokens against 131K.
How many benchmarks do Muse Spark 1.3 and Qwen3-Next 80B-A3B Instruct share?
17 benchmarks have published results for both models. Muse Spark 1.3 has 37 scored results on Noometry and Qwen3-Next 80B-A3B Instruct has 25.