# Muse Spark vs Qwen3-30B-A3B

> Muse Spark is the stronger model overall, scoring 50.3 to 38.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/muse-spark-vs-qwen3-30b-a3b
- Last updated: 2026-10-10
- Shared benchmarks: 21

## Summary

- They share 21 benchmarks with published results for both. Muse Spark scores higher in 8 categories and Qwen3-30B-A3B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Muse Spark leads 65.7 to 41.7.
- The biggest single-benchmark swing is GPQA Diamond: 89.8% for Muse Spark and 70.1% for Qwen3-30B-A3B.
- Qwen3-30B-A3B has downloadable open weights; the other is API-only.

## Snapshot

| | Muse Spark | Qwen3-30B-A3B |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 50.3 | 38.5 |
| Rank | 41 | 174 |
| Context | — | 41K |
| Input $/M | — | $0.12 |
| Output $/M | — | $0.50 |
| Weights | Proprietary | Open |

## Coding

- Muse Spark: 45.6 (#65)
- Qwen3-30B-A3B: 37.0 (#188)

| Benchmark | Muse Spark | Qwen3-30B-A3B |
|---|---|---|
| SciCode | 51.5% | 33.3% |
| LMArena Coding | 1482 | 1416 |
| WeirdML | — | 29.8% |

## Agentic & Tool Use

- Muse Spark: —
- Qwen3-30B-A3B: 29.5 (#75)

| Benchmark | Muse Spark | Qwen3-30B-A3B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41.4% |

## Reasoning

- Muse Spark: 34.9 (#61)
- Qwen3-30B-A3B: 21.6 (#193)

| Benchmark | Muse Spark | Qwen3-30B-A3B |
|---|---|---|
| CritPt | 11.3% | 0.3% |
| LMArena Hard Prompts | 1475 | 1398 |
| Epoch Capabilities Index | 152.09 | 139.63 |
| Kagi LLM Benchmark | — | 54.9% |
| Chess Puzzles | — | 8% |
| DTBench | — | 69.3% |
| LMCA | — | 22.4% |

## Math

- Muse Spark: 46.8 (#57)
- Qwen3-30B-A3B: 36.0 (#133)

| Benchmark | Muse Spark | Qwen3-30B-A3B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 88.9% | 70.3% |
| LMArena Math | 1455 | 1394 |
| MathArena Final-Answer Competitions | — | 47.8% |
| ProofBench | 17% | — |
| FrontierMath (Feb 2025 set) | 39% | — |
| FrontierMath Tier 4 (v1) | 14.6% | — |

## Knowledge

- Muse Spark: 65.7 (#12)
- Qwen3-30B-A3B: 41.7 (#96)

| Benchmark | Muse Spark | Qwen3-30B-A3B |
|---|---|---|
| GPQA Diamond | 89.8% | 70.1% |
| LMArena Expert | 1458 | 1395 |
| Humanity's Last Exam | 40.6% | — |
| Confabulations | — | 12.3% |

## Multimodal

- Muse Spark: 42.7 (#23)
- Qwen3-30B-A3B: —

| Benchmark | Muse Spark | Qwen3-30B-A3B |
|---|---|---|
| LMArena Vision | 1306 | — |
| LMArena Document | 1444 | — |

## Multilingual

- Muse Spark: 56.3 (#23)
- Qwen3-30B-A3B: 49.8 (#126)

| Benchmark | Muse Spark | Qwen3-30B-A3B |
|---|---|---|
| LMArena Non-English | 1464 | 1372 |
| LMArena Chinese | 1507 | 1434 |
| LMArena French | 1497 | 1419 |
| LMArena German | 1497 | 1379 |
| LMArena Korean | 1457 | 1333 |
| LMArena Russian | 1467 | 1369 |
| LMArena Spanish | 1471 | 1403 |
| LMArena Japanese | — | 1338 |

## Instruction Following

- Muse Spark: 76.1 (#47)
- Qwen3-30B-A3B: 72.2 (#137)

| Benchmark | Muse Spark | Qwen3-30B-A3B |
|---|---|---|
| LMArena Instruction Following | 1443 | 1364 |

## Long Context

- Muse Spark: 44.4 (#65)
- Qwen3-30B-A3B: 31.0 (#278)

| Benchmark | Muse Spark | Qwen3-30B-A3B |
|---|---|---|
| LMArena Longer Query | 1451 | 1379 |
| Fiction.LiveBench | — | 40.6% |

## Writing & Preference

- Muse Spark: 66.2 (#37)
- Qwen3-30B-A3B: 55.9 (#138)

| Benchmark | Muse Spark | Qwen3-30B-A3B |
|---|---|---|
| LMArena Text | 1474 | 1384 |
| LMArena Creative Writing | 1460 | 1318 |
| LMArena Multi-Turn | 1477 | 1378 |
| Short-Story Creative Writing | — | 75.3% |

## FAQ

### Is Muse Spark better than Qwen3-30B-A3B?

Muse Spark is the stronger model overall, scoring 50.3 to 38.5 on the Noometry Index.

### Is Muse Spark or Qwen3-30B-A3B better for coding?

Muse Spark scores higher on coding benchmarks: 45.6 versus 37.0 in the Noometry coding category.

### How many benchmarks do Muse Spark and Qwen3-30B-A3B share?

21 benchmarks have published results for both models. Muse Spark has 27 scored results on Noometry and Qwen3-30B-A3B has 32.