Muse Spark 1.3 vs Qwen3 8
Muse Spark 1.3 
Qwen3 8 Verdict
- Muse Spark 1.3 (xhigh) and Qwen3 8 (max) are level on quality (63.9 vs 63.9).
- Muse Spark 1.3 (xhigh) is stronger in agents & tools, composite, knowledge, long context.
- Qwen3 8 (max) is stronger in coding, multimodal, human preference, reasoning.
- Muse Spark 1.3 (xhigh) is 1.3× cheaper ($2.00 vs $2.67 per 1M blended).
- Muse Spark 1.3 (xhigh) streams 4.9× faster (193 vs 39 tokens per second).
| Metric | Muse Spark 1.3 (xhigh) | Qwen3 8 (max) |
|---|---|---|
| BenchLeader Index | 63.9 | 63.9 |
| Agents & tools score | 60.4 | 56.1 |
| Coding score | 70.8 | 71.7 |
| Composite score | 78.6 | 70.8 |
| Knowledge score | 75.0 | 62.3 |
| Long context score | 68.1 | 65.7 |
| Multimodal score | 66.6 | 67.2 |
| Human preference score | – | 67.9 |
| Reasoning score | – | 67.7 |
| Blended price $/M | $2.00 | $2.67 |
| Output speed | 193 tok/s | 39 tok/s |
| Time to first answer | 40.0 s | 53.2 s |
| Context window | 1M | 1M |
| Epoch Capabilities Index | – | 156.6 |
| LMArena Text | – | 1480 |
| LMArena Hard Prompts | – | 1502 |
| LMArena Coding | – | 1520 |
| LMArena WebDev | 1625 | 1685 |
| LMArena Vision | – | 1313 |
| LMArena Agent | – | 3.9 |
| LiveBench | 81.6% | 78.5% |
| LiveBench Reasoning | 89.7% | 88.2% |
| LiveBench Coding | 81.1% | 72.9% |
| LiveBench Agentic Coding | 64.1% | 64.7% |
| LiveBench Mathematics | 96.0% | 91.3% |
| LiveBench Data Analysis | 79.6% | 78.4% |
| LiveBench Language | 82.8% | 79.7% |
| AA Intelligence Index | 45.2 | 40.3 |
| AA-LCR | 83.0% | 78.3% |
| MMMU-Pro | 82.0% | 82.3% |
| AA-Omniscience | 23.1 | 3.4 |
| GPQA Diamond (AA) | 94.1% | 92.7% |
| Humanity's Last Exam (AA) | 47.5% | 43.0% |
| SciCode (AA) | 59.7% | 53.2% |
| LiveCodeBench | – | 87.8% |
| MMLU-Pro | – | 88.6% |
| IOI | – | 73.0% |
| LegalBench | – | 83.6% |
| CorpFin | – | 65.8% |
| TaxEval | – | 75.5% |
| Terminal-Bench 2.1 (Vals) | 72.3% | 67.4% |
| SWE-bench (Vals) | – | 85.6% |
| GPQA Diamond (Vals) | – | 93.7% |
| Vals Index | 60.3 | 51.8 |
Data as of 2026-09-09. Best configuration of each model; every score links to its source on the model pages.