Model comparison
Muse Spark vs Qwen2-72B
Muse Spark is the stronger model overall, scoring 50.6 to 30.0 on the Noometry Index.
Last verified . 18 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 18 benchmarks with published results for both. Muse Spark scores higher in 8 categories and Qwen2-72B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Muse Spark leads 65.7 to 21.2.
- The biggest single-benchmark swing is GPQA Diamond: 89.8% for Muse Spark and 40.8% for Qwen2-72B.
- Qwen2-72B has downloadable open weights; the other is API-only.
Side by side
| Muse Spark | Qwen2-72B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 50.6 | 30.0 |
| Released | 2026-04-08 | 2024-06-07 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 27 | 26 |
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Category by category
Coding Muse Spark leads
Muse Spark: 46.2 (#69), Qwen2-72B: 29.1 (#310)
| Benchmark | Muse Spark | Qwen2-72B |
|---|---|---|
| LMArena Coding | 1481 | 1196 |
| SciCode | 51.5% | — |
| WeirdML | — | 11.3% |
| BigCodeBench Instruct | — | 38.5% |
| BigCodeBench Complete | — | 54% |
Agentic & Tool Use Not comparable
Muse Spark: —, Qwen2-72B: 17.0 (#146)
| Benchmark | Muse Spark | Qwen2-72B |
|---|---|---|
| TheAgentCompany | — | 1.1% |
| METR Time Horizons | — | 29.9% |
Reasoning Muse Spark leads
Muse Spark: 35.9 (#67), Qwen2-72B: 23.2 (#181)
| Benchmark | Muse Spark | Qwen2-72B |
|---|---|---|
| LMArena Hard Prompts | 1474 | 1191 |
| Epoch Capabilities Index | 152.04 | 125.28 |
| CritPt | 11.3% | — |
Math Muse Spark leads
Muse Spark: 47.8 (#66), Qwen2-72B: 30.2 (#236)
| Benchmark | Muse Spark | Qwen2-72B |
|---|---|---|
| LMArena Math | 1455 | 1235 |
| OTIS Mock AIME 2024-2025 | 88.9% | — |
| ProofBench | 17% | — |
| MATH Level 5 | — | 39.1% |
| FrontierMath (Feb 2025 set) | 39% | — |
| FrontierMath Tier 4 (v1) | 14.6% | — |
Knowledge Muse Spark leads
Muse Spark: 65.7 (#13), Qwen2-72B: 21.2 (#275)
| Benchmark | Muse Spark | Qwen2-72B |
|---|---|---|
| GPQA Diamond | 89.8% | 40.8% |
| LMArena Expert | 1457 | 1171 |
| Humanity's Last Exam | 40.6% | — |
| MMLU | — | 82.4% |
Multimodal Not comparable
Muse Spark: 43.4 (#24), Qwen2-72B: —
| Benchmark | Muse Spark | Qwen2-72B |
|---|---|---|
| LMArena Vision | 1306 | — |
| LMArena Document | 1444 | — |
Multilingual Muse Spark leads
Muse Spark: 56.1 (#24), Qwen2-72B: 35.9 (#244)
| Benchmark | Muse Spark | Qwen2-72B |
|---|---|---|
| LMArena Non-English | 1464 | 1176 |
| LMArena Chinese | 1509 | 1240 |
| LMArena French | 1497 | 1170 |
| LMArena German | 1497 | 1151 |
| LMArena Korean | 1459 | 1083 |
| LMArena Russian | 1466 | 1169 |
| LMArena Spanish | 1472 | 1169 |
| LMArena Japanese | — | 1111 |
Instruction Following Muse Spark leads
Muse Spark: 75.9 (#51), Qwen2-72B: 61.7 (#241)
| Benchmark | Muse Spark | Qwen2-72B |
|---|---|---|
| LMArena Instruction Following | 1442 | 1181 |
Long Context Muse Spark leads
Muse Spark: 44.4 (#69), Qwen2-72B: 36.1 (#235)
| Benchmark | Muse Spark | Qwen2-72B |
|---|---|---|
| LMArena Longer Query | 1451 | 1192 |
Writing & Preference Muse Spark leads
Muse Spark: 66.0 (#39), Qwen2-72B: 40.8 (#241)
| Benchmark | Muse Spark | Qwen2-72B |
|---|---|---|
| LMArena Text | 1474 | 1203 |
| LMArena Creative Writing | 1459 | 1181 |
| LMArena Multi-Turn | 1477 | 1196 |
Frequently asked questions
Is Muse Spark better than Qwen2-72B?
Muse Spark is the stronger model overall, scoring 50.6 to 30.0 on the Noometry Index.
Is Muse Spark or Qwen2-72B better for coding?
Muse Spark scores higher on coding benchmarks: 46.2 versus 29.1 in the Noometry coding category.
How many benchmarks do Muse Spark and Qwen2-72B share?
18 benchmarks have published results for both models. Muse Spark has 27 scored results on Noometry and Qwen2-72B has 26.