GPT-6.1 Sol vs Muse Spark
GPT-6.1 Sol 
Muse Spark Verdict
- GPT-6.1 Sol (max) leads on quality: 69.3 vs 64.6.
- GPT-6.1 Sol (max) is stronger in coding, composite, knowledge, long context, maths, multimodal, reasoning.
- Muse Spark is stronger in agents & tools, human preference, instruction following.
| Metric | GPT-6.1 Sol (max) | Muse Spark |
|---|---|---|
| BenchLeader Index | 69.3 | 64.6 |
| Agents & tools score | 63.9 | 66.0 |
| Coding score | 72.4 | 65.3 |
| Composite score | 79.0 | 65.0 |
| Human preference score | 68.1 | 68.7 |
| Knowledge score | 78.8 | 63.7 |
| Long context score | 66.8 | 64.2 |
| Maths score | 72.5 | 59.3 |
| Multimodal score | 66.2 | 64.6 |
| Reasoning score | 76.4 | 65.9 |
| Instruction following score | – | 78.3 |
| Blended price $/M | $4.00 | – |
| Output speed | 56 tok/s | – |
| Time to first answer | 326.9 s | – |
| Context window | 1.1M | 262k |
| GPQA Diamond | 95.4% | 89.8% |
| FrontierMath Tiers 1–3 | 93.7% | – |
| FrontierMath Tier 4 | 100.0% | – |
| OTIS Mock AIME | 100.0% | 88.9% |
| SimpleQA Verified | 73.9% | – |
| Humanity's Last Exam | – | 40.6% |
| Terminal-Bench | 58.2% | – |
| SciCode | 54.2% | 51.5% |
| APEX-Agents | 60.0% | – |
| ProofBench | – | 17.0% |
| Epoch Capabilities Index | – | 152.0 |
| LMArena Text | 1484 | 1489 |
| LMArena Hard Prompts | 1507 | 1506 |
| LMArena Coding | 1545 | 1529 |
| LMArena WebDev | 1755 | – |
| LMArena Vision | 1288 | 1306 |
| LMArena Agent | 11.7 | – |
| LiveBench | 81.6% | – |
| LiveBench Reasoning | 92.6% | – |
| LiveBench Coding | 80.4% | – |
| LiveBench Agentic Coding | 54.5% | – |
| LiveBench Mathematics | 96.8% | – |
| LiveBench Data Analysis | 82.7% | – |
| LiveBench Language | 90.1% | – |
| LiveBench Instruction Following | 74.2% | – |
| AA Intelligence Index v4.3.2 | 51.8 | 31.3 |
| IFBench | – | 75.9% |
| AA-LCR | 83.0% | 78.0% |
| MMMU-Pro | 86.0% | 80.5% |
| AA-Omniscience | 41.5 | 7.2 |
| Terminal-Bench Hard | – | 45.5% |
| GPQA Diamond (AA) | – | 88.4% |
| Humanity's Last Exam (AA) | 52.9% | 40.7% |
| SciCode (AA) | 54.2% | – |
| τ²-Bench Telecom (AA) | – | 91.5% |
| AIME (Vals) | – | 96.9% |
| MMLU-Pro | – | 87.3% |
| IOI | 96.9% | – |
| LegalBench | – | 84.2% |
| CorpFin | – | 65.1% |
| TaxEval | – | 77.7% |
| SWE-bench (Vals) | – | 74.4% |
| GPQA Diamond (Vals) | – | 89.7% |
| Vals Index | 61.1 | – |
| SWE-Bench Pro | – | 55.0% |
| MCP Atlas | – | 82.2% |
| MultiChallenge | – | 75.5% |
| PRBench Finance | – | 52.4% |
| PRBench Legal | – | 52.3% |
| MultiNRC | – | 59.0% |
| TutorBench | – | 68.5% |
| ARC-AGI-1 | 96.5% | – |
| ARC-AGI-2 | 94.2% | – |
| ARC-AGI-3 | 96.2% | – |
| CritPt | 31.7% | 11.3% |
| GDPval-AA v2.1 | 53.8% | 25.1% |
| Analyst Agent (AA) | 50.0% | – |
| BioMysteryBench | 79.6% | – |
| CaseLaw v2 | – | 63.1% |
| Code Migration | 65.1% | – |
| CyberBench | 39.3% | – |
| Excel Modeling Benchmark | 70.8% | – |
| Finance Agent v2 | 52.0% | – |
| Harvey's Legal Agent Benchmark | 5.4% | – |
| Legal Research Bench | 38.5% | – |
| MedCode | 48.8% | 51.3% |
| MedScribe | 86.5% | 85.9% |
| MMMU-Pro (Vals) | – | 87.4% |
| MysteryMechanism | 46.4% | – |
| Public Benefits Bench | 59.3% | – |
| SAGE | 46.5% | – |
| SREBench | 50.8% | – |
| Tax Agent Bench | 62.3% | – |
| Terminal-Bench 2.0 (Vals) | – | 59.5% |
| Terminal-Bench 4.0 (Vals) | 55.0% | – |
| Vibe Code Bench v1.1 | 88.9% | 19.7% |
| FORTRESS | – | 20.2% |
| SWE-Bench Pro (private) | – | 55.0% |
| SWE Atlas: Codebase QnA | – | 24.2% |
| SWE Atlas: Test Writing | – | 31.1% |
| LMArena Maths | 1488 | 1466 |
| LMArena Creative Writing | 1462 | 1465 |
| LMArena Instruction Following | 1488 | 1464 |
| LMArena Multi-turn | 1487 | 1493 |
| LMArena Longer Queries | 1496 | 1476 |
| LMArena Document | – | 1467 |
| Chess Puzzles | 61.0% | – |
| EBR-bench | 54.3% | – |
| Mystery Game Puzzles | 80.0% | – |
| Terminal-Bench 4.0 (AA) | 56.1% | – |
| Terminal-Bench 2.1 (AA) | – | 62.2% |
| AutomationBench | 64.9% | – |
| GDP.pdf | 31.0% | – |
| MLCR | 33.9% | – |
| Harvey LAB | 6.9% | – |
| AA-Omniscience: accuracy | 62.1% | 49.6% |
| AA-Omniscience: non-hallucination | 45.7% | 15.8% |
| AA-Briefcase v1.1 | 1557 | – |
Data as of 2026-10-11. Best configuration of each model; every score links to its source on the model pages.
GPT-6.1 Sol vs Muse Spark: questions
- Is GPT-6.1 Sol better than Muse Spark?
- GPT-6.1 Sol (max) leads on quality: 69.3 vs 64.6. The BenchLeader Index combines every independent quality benchmark; GPT-6.1 Sol (max) is ahead overall as of 2026-10-11, but check the category scores for your use.
- Is GPT-6.1 Sol better than Muse Spark for coding?
- GPT-6.1 Sol scores higher in coding (72 vs 65 on the category index, where 50 is average).
- Is GPT-6.1 Sol better than Muse Spark for agentic tasks?
- Muse Spark scores higher in agentic tasks (66 vs 64 on the category index, where 50 is average).
- Which has the larger context window?
- GPT-6.1 Sol accepts more context: 1.1M against 262k tokens.