Model comparison
Muse Spark vs Qwen3.8 27B
Muse Spark is the stronger model overall, scoring 50.3 to 45.3 on the Noometry Index.
Last verified . 21 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 21 benchmarks with published results for both. Muse Spark scores higher in 8 categories and Qwen3.8 27B in 1 category; 6 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Muse Spark leads 65.7 to 40.9.
- The biggest single-benchmark swing is CritPt: 11.3% for Muse Spark and 5.4% for Qwen3.8 27B.
- Qwen3.8 27B has downloadable open weights; the other is API-only.
Side by side
| Muse Spark | Qwen3.8 27B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 50.3 | 45.3 |
| Released | 2026-04-08 | 2026-08-14 |
| Weights | Proprietary | Open |
| Context window | — | 262K |
| Max output | — | 33K |
| Input $ / M tokens | — | $0.99 |
| Output $ / M tokens | — | $1.49 |
| Results tracked | 27 | 28 |
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Category by category
Coding Qwen3.8 27B leads
Muse Spark: 45.6 (#65), Qwen3.8 27B: 50.3 (#42)
| Benchmark | Muse Spark | Qwen3.8 27B |
|---|---|---|
| SciCode | 51.5% | 46.6% |
| LMArena Coding | 1482 | 1487 |
| LMArena WebDev | — | 1592 |
Reasoning Muse Spark leads
Muse Spark: 34.9 (#61), Qwen3.8 27B: 31.5 (#71)
| Benchmark | Muse Spark | Qwen3.8 27B |
|---|---|---|
| CritPt | 11.3% | 5.4% |
| LMArena Hard Prompts | 1475 | 1459 |
| Epoch Capabilities Index | 152.09 | 149.38 |
| NYT Connections (extended) | — | 54.5% |
| DTBench | — | 88% |
| LMCA | — | 41.4% |
| Surface Evolver Bench | — | 45% |
Math Muse Spark leads
Muse Spark: 46.8 (#57), Qwen3.8 27B: 35.7 (#139)
| Benchmark | Muse Spark | Qwen3.8 27B |
|---|---|---|
| ProofBench | 17% | 16% |
| LMArena Math | 1455 | 1453 |
| OTIS Mock AIME 2024-2025 | 88.9% | — |
| FrontierMath (Feb 2025 set) | 39% | — |
| FrontierMath Tier 4 (v1) | 14.6% | — |
Knowledge Muse Spark leads
Muse Spark: 65.7 (#12), Qwen3.8 27B: 40.9 (#105)
| Benchmark | Muse Spark | Qwen3.8 27B |
|---|---|---|
| LMArena Expert | 1458 | 1482 |
| GPQA Diamond | 89.8% | — |
| Humanity's Last Exam | 40.6% | — |
Multimodal Muse Spark leads
Muse Spark: 42.7 (#23), Qwen3.8 27B: 40.5 (#36)
| Benchmark | Muse Spark | Qwen3.8 27B |
|---|---|---|
| LMArena Vision | 1306 | 1270 |
| LMArena Document | 1444 | — |
Multilingual Muse Spark leads
Muse Spark: 56.3 (#23), Qwen3.8 27B: 54.0 (#54)
| Benchmark | Muse Spark | Qwen3.8 27B |
|---|---|---|
| LMArena Non-English | 1464 | 1431 |
| LMArena Chinese | 1507 | 1504 |
| LMArena French | 1497 | 1468 |
| LMArena German | 1497 | 1435 |
| LMArena Korean | 1457 | 1389 |
| LMArena Russian | 1467 | 1421 |
| LMArena Spanish | 1471 | 1444 |
| LMArena Japanese | — | 1392 |
Instruction Following Too close to call
Muse Spark: 76.1 (#47), Qwen3.8 27B: 75.8 (#54)
| Benchmark | Muse Spark | Qwen3.8 27B |
|---|---|---|
| LMArena Instruction Following | 1443 | 1436 |
Long Context Too close to call
Muse Spark: 44.4 (#65), Qwen3.8 27B: 44.3 (#66)
| Benchmark | Muse Spark | Qwen3.8 27B |
|---|---|---|
| LMArena Longer Query | 1451 | 1448 |
Writing & Preference Too close to call
Muse Spark: 66.2 (#37), Qwen3.8 27B: 65.9 (#41)
| Benchmark | Muse Spark | Qwen3.8 27B |
|---|---|---|
| LMArena Text | 1474 | 1441 |
| LMArena Creative Writing | 1460 | 1382 |
| LMArena Multi-Turn | 1477 | 1443 |
| EQ-Bench Creative Writing | — | 1671 |
Frequently asked questions
Is Muse Spark better than Qwen3.8 27B?
Muse Spark is the stronger model overall, scoring 50.3 to 45.3 on the Noometry Index.
Is Muse Spark or Qwen3.8 27B better for coding?
Qwen3.8 27B scores higher on coding benchmarks: 50.3 versus 45.6 in the Noometry coding category.
How many benchmarks do Muse Spark and Qwen3.8 27B share?
21 benchmarks have published results for both models. Muse Spark has 27 scored results on Noometry and Qwen3.8 27B has 28.