Model comparison
Muse Spark 1.3 vs QwQ-32B
Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 39.8 on the Noometry Index.
Last verified . 21 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 21 benchmarks with published results for both. Muse Spark 1.3 scores higher in 7 categories and QwQ-32B in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Muse Spark 1.3 leads 73.1 to 38.0.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 99.2% for Muse Spark 1.3 and 59.2% for QwQ-32B.
- QwQ-32B has downloadable open weights; the other is API-only.
Side by side
| Muse Spark 1.3 | QwQ-32B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 54.8 | 39.8 |
| Released | 2026-09-02 | 2024-11-28 |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 131K | — |
| Input $ / M tokens | $1.25 | — |
| Output $ / M tokens | $4.25 | — |
| Results tracked | 37 | 36 |
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Category by category
Coding Muse Spark 1.3 leads
Muse Spark 1.3: 56.6 (#21), QwQ-32B: 35.4 (#226)
| Benchmark | Muse Spark 1.3 | QwQ-32B |
|---|---|---|
| LMArena Coding | 1514 | 1333 |
| Aider Polyglot | — | 20.9% |
| CursorBench | 41.6% | — |
| LMArena WebDev | 1657 | — |
| SciCode | 59.7% | — |
| BigCodeBench Instruct | — | 44.6% |
| LiveBench Coding | — | 72.2% |
| BigCodeBench Complete | — | 54.4% |
Agentic & Tool Use Not comparable
Muse Spark 1.3: 38.6 (#30), QwQ-32B: —
| Benchmark | Muse Spark 1.3 | QwQ-32B |
|---|---|---|
| APEX-Agents | 57.8% | — |
| GDP.pdf | 27.6% | — |
Reasoning Muse Spark 1.3 leads
Muse Spark 1.3: 54.0 (#27), QwQ-32B: 23.7 (#174)
| Benchmark | Muse Spark 1.3 | QwQ-32B |
|---|---|---|
| Chess Puzzles | 38% | 5% |
| LMArena Hard Prompts | 1503 | 1325 |
| Epoch Capabilities Index | 156.75 | 137.6 |
| NYT Connections (extended) | 85.1% | — |
| CritPt | 26% | — |
| LiveBench Reasoning | — | 83.5% |
| Mystery Game Puzzles | 25% | — |
| DTBench | 96.5% | — |
| LiveBench Data Analysis | — | 65% |
| LMCA | 53.9% | — |
| Bench to the Future 3 | 0.14 | — |
| ForecastBench | — | 58.3 |
| LiveBench | — | 72% |
Math Muse Spark 1.3 leads
Muse Spark 1.3: 73.1 (#21), QwQ-32B: 38.0 (#143)
| Benchmark | Muse Spark 1.3 | QwQ-32B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 99.2% | 59.2% |
| LMArena Math | 1494 | 1359 |
| FrontierMath (Tiers 1-3) | 74.4% | — |
| FrontierMath Tier 4 | 46.3% | — |
| ProofBench | 58% | — |
| LiveBench Math | — | 77.8% |
Knowledge Muse Spark 1.3 leads
Muse Spark 1.3: 42.6 (#95), QwQ-32B: 37.2 (#158)
| Benchmark | Muse Spark 1.3 | QwQ-32B |
|---|---|---|
| LMArena Expert | 1516 | 1324 |
| GPQA Diamond | — | 65.3% |
| Confabulations | — | 15.6% |
Multimodal Not comparable
Muse Spark 1.3: 43.7 (#22), QwQ-32B: —
| Benchmark | Muse Spark 1.3 | QwQ-32B |
|---|---|---|
| LMArena Vision | 1309 | — |
| LMArena Document | 1471 | — |
Multilingual Muse Spark 1.3 leads
Muse Spark 1.3: 57.4 (#8), QwQ-32B: 44.8 (#176)
| Benchmark | Muse Spark 1.3 | QwQ-32B |
|---|---|---|
| LMArena Non-English | 1481 | 1305 |
| LMArena Chinese | 1529 | 1378 |
| LMArena French | 1524 | 1336 |
| LMArena German | 1515 | 1313 |
| LMArena Japanese | 1474 | 1262 |
| LMArena Korean | 1501 | 1279 |
| LMArena Russian | 1490 | 1297 |
| LMArena Spanish | 1490 | 1354 |
Instruction Following Muse Spark 1.3 leads
Muse Spark 1.3: 77.5 (#22), QwQ-32B: 72.6 (#137)
| Benchmark | Muse Spark 1.3 | QwQ-32B |
|---|---|---|
| LMArena Instruction Following | 1477 | 1297 |
| LiveBench Instruction Following | — | 81.8% |
Long Context QwQ-32B leads
Muse Spark 1.3: 45.6 (#32), QwQ-32B: 49.0 (#11)
| Benchmark | Muse Spark 1.3 | QwQ-32B |
|---|---|---|
| LMArena Longer Query | 1488 | 1308 |
| Fiction.LiveBench | — | 83.3% |
Writing & Preference Muse Spark 1.3 leads
Muse Spark 1.3: 73.6 (#9), QwQ-32B: 50.6 (#180)
| Benchmark | Muse Spark 1.3 | QwQ-32B |
|---|---|---|
| LMArena Text | 1490 | 1329 |
| LMArena Creative Writing | 1455 | 1288 |
| EQ-Bench Creative Writing | 1906 | 1257 |
| LMArena Multi-Turn | 1482 | 1314 |
| Short-Story Creative Writing | — | 80.2% |
| LiveBench Language | — | 51.4% |
Frequently asked questions
Is Muse Spark 1.3 better than QwQ-32B?
Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 39.8 on the Noometry Index.
Is Muse Spark 1.3 or QwQ-32B better for coding?
Muse Spark 1.3 scores higher on coding benchmarks: 56.6 versus 35.4 in the Noometry coding category.
How many benchmarks do Muse Spark 1.3 and QwQ-32B share?
21 benchmarks have published results for both models. Muse Spark 1.3 has 37 scored results on Noometry and QwQ-32B has 36.