Muse Spark 1.1 vs Qwen3.8 Max
Verdict
- Qwen3.8 Max (max) leads on quality: 64.2 vs 63.1.
- Muse Spark 1.1 is stronger in coding, instruction following, knowledge.
- Qwen3.8 Max (max) is stronger in agents & tools, human preference, maths, multimodal, reasoning, composite, long context.
- Muse Spark 1.1 is 1.5× cheaper ($2.00 vs $3.00 per 1M blended).
- Muse Spark 1.1 streams 5.5× faster (201 vs 37 tokens per second).
| Metric | Muse Spark 1.1 | Qwen3.8 Max (max) |
|---|---|---|
| BenchLeader Index | 63.1 | 64.2 |
| Agents & tools score | 51.5 | 58.2 |
| Coding score | 66.6 | 64.6 |
| Human preference score | 65.7 | 68.0 |
| Instruction following score | 74.2 | – |
| Knowledge score | 70.3 | 62.7 |
| Maths score | 61.9 | 65.1 |
| Multimodal score | 63.8 | 66.2 |
| Reasoning score | 68.4 | 72.2 |
| Composite score | – | 70.7 |
| Long context score | – | 65.4 |
| Blended price $/M | $2.00 | $3.00 |
| Output speed | 201 tok/s | 37 tok/s |
| Time to first answer | 1.9 s | 58.9 s |
| Context window | 1.0M | 1M |
| SimpleQA Verified | 57.8% | – |
| Terminal-Bench | – | 27.0% |
| SciCode | 58.8% | 53.2% |
| APEX-Agents | 31.8% | 63.3% |
| ProofBench | 39.0% | 58.0% |
| Epoch Capabilities Index | 154.2 | 156.4 |
| LMArena Text | 1491 | 1483 |
| LMArena Hard Prompts | 1511 | 1504 |
| LMArena Coding | 1533 | 1524 |
| LMArena WebDev | 1542 | 1672 |
| LMArena Vision | 1293 | 1314 |
| LMArena Agent | -5 | 2.3 |
| LiveBench | – | 78.5% |
| LiveBench Reasoning | – | 88.2% |
| LiveBench Coding | – | 72.9% |
| LiveBench Agentic Coding | – | 64.7% |
| LiveBench Mathematics | – | 91.3% |
| LiveBench Data Analysis | – | 78.4% |
| LiveBench Language | – | 79.7% |
| LiveBench Instruction Following | – | 74.1% |
| AA Intelligence Index v4.3.2 | – | 45.4 |
| AA-LCR | – | 80.3% |
| MMMU-Pro | – | 82.8% |
| AA-Omniscience | – | 12.0 |
| GPQA Diamond (AA) | – | 92.8% |
| Humanity's Last Exam (AA) | – | 43.1% |
| SciCode (AA) | – | 53.2% |
| LiveCodeBench | – | 87.8% |
| MMLU-Pro | – | 88.6% |
| IOI | – | 68.9% |
| LegalBench | – | 83.6% |
| CorpFin | – | 65.8% |
| TaxEval | – | 75.5% |
| Terminal-Bench 2.1 (Vals) | – | 67.4% |
| SWE-bench (Vals) | – | 85.6% |
| GPQA Diamond (Vals) | – | 93.7% |
| Vals Index | – | 48.3 |
| SWE-Bench Pro | 61.5% | – |
| MCP Atlas | 88.1% | – |
| MultiChallenge | 75.3% | – |
| PRBench Finance | 55.0% | – |
| PRBench Legal | 57.0% | – |
| MultiNRC | 65.6% | – |
| EQ-Bench 4 | 1260 | – |
| CritPt | – | 20.0% |
| GDPval-AA v2.1 | – | 58.6% |
| τ³-Banking (AA) | – | 51.3% |
| ITBench SRE (AA) | – | 40.3% |
| Analyst Agent (AA) | – | 45.0% |
| APEX-Agents (AA) | – | 42.4% |
| Code Migration | – | 24.0% |
| CyberBench | – | 28.6% |
| Excel Modeling Benchmark | – | 60.1% |
| Finance Agent v2 | – | 50.6% |
| Harvey's Legal Agent Benchmark | – | 10.4% |
| Legal Research Bench | – | 47.6% |
| MedCode | – | 40.7% |
| MedScribe | – | 85.0% |
| MMMU-Pro (Vals) | – | 88.0% |
| MortgageTax | – | 64.0% |
| MysteryMechanism | – | 23.9% |
| ProgramBench | – | 0.0% |
| Public Benefits Bench | – | 67.1% |
| SAGE | – | 51.3% |
| SkillsBench | – | 42.0% |
| Tax Agent Bench | – | 66.0% |
| Terminal-Bench 4.0 (Vals) | – | 34.3% |
| Terminal-Bench Science | – | 1.4% |
| Vals Multimodal Index | – | 65.4% |
| Vibe Code Bench 1-100 | – | 12.8% |
| Vibe Code Bench v1.1 | – | 64.7% |
| FORTRESS | 12.4% | – |
| SWE-Bench Pro (private) | 61.5% | – |
| LMArena Maths | 1495 | 1497 |
| LMArena Creative Writing | 1445 | 1470 |
| LMArena Instruction Following | 1472 | 1474 |
| LMArena Multi-turn | 1497 | 1492 |
| LMArena Longer Queries | 1481 | 1492 |
| LMArena Document | 1480 | – |
| DeepSWE v1.1 | 53.3% | – |
| GBAEval | 7.9% | – |
| Vending-Bench 2 | 6520.5 | – |
| GDP.pdf | 15.0% | – |
| Terminal-Bench 4.0 (AA) | – | 38.9% |
| Terminal-Bench 2.1 (AA) | – | 88.8% |
| AutomationBench | – | 56.2% |
| GDP.pdf | – | 22.8% |
| MLCR | – | 20.0% |
| EnterpriseOps-Gym | – | 47.6% |
| AA-Omniscience: accuracy | – | 31.9% |
| AA-Omniscience: non-hallucination | – | 71.2% |
| AA-Briefcase v1.1 | – | 1617 |
Data as of 2026-10-11. Best configuration of each model; every score links to its source on the model pages.
Muse Spark 1.1 vs Qwen3.8 Max: questions
- Is Muse Spark 1.1 better than Qwen3.8 Max?
- Qwen3.8 Max (max) leads on quality: 64.2 vs 63.1. The BenchLeader Index combines every independent quality benchmark; Qwen3.8 Max (max) is ahead overall as of 2026-10-11, but check the category scores for your use.
- Is Muse Spark 1.1 better than Qwen3.8 Max for coding?
- Muse Spark 1.1 scores higher in coding (67 vs 65 on the category index, where 50 is average).
- Is Muse Spark 1.1 better than Qwen3.8 Max for agentic tasks?
- Qwen3.8 Max scores higher in agentic tasks (58 vs 52 on the category index, where 50 is average).
- Which is cheaper, Muse Spark 1.1 or Qwen3.8 Max?
- Muse Spark 1.1 is cheaper: $2.00 against $3.00 per million tokens, blended at three input tokens per output token.
- Which is faster, Muse Spark 1.1 or Qwen3.8 Max?
- Muse Spark 1.1 streams faster: 201 against 37 output tokens per second.
- Which has the larger context window?
- Muse Spark 1.1 accepts more context: 1.0M against 1M tokens.