GPT-6 Sol vs Muse Spark
GPT-6 Sol 
Muse Spark Verdict
- GPT-6 Sol (max) leads on quality: 67.7 vs 65.3.
- GPT-6 Sol (max) is stronger in composite, knowledge, long context, multimodal, reasoning.
- Muse Spark is stronger in agents & tools, coding, human preference, instruction following, maths.
| Metric | GPT-6 Sol (max) | Muse Spark |
|---|---|---|
| BenchLeader Index | 67.7 | 65.3 |
| Composite score | 86.2 | 66.7 |
| Knowledge score | 75.4 | 63.9 |
| Long context score | 67.7 | 64.8 |
| Multimodal score | 67.1 | 65.3 |
| Reasoning score | 95.0 | 66.7 |
| Agents & tools score | – | 66.0 |
| Coding score | – | 65.9 |
| Human preference score | – | 69.2 |
| Instruction following score | – | 79.8 |
| Maths score | – | 60.0 |
| Blended price $/M | $4.00 | – |
| Output speed | 126 tok/s | – |
| Time to first answer | 107.2 s | – |
| Context window | 1.1M | 262k |
| GPQA Diamond | – | 89.8% |
| OTIS Mock AIME | – | 88.9% |
| Humanity's Last Exam | – | 40.6% |
| SciCode | – | 51.5% |
| ProofBench | – | 17.0% |
| Epoch Capabilities Index | – | 152.1 |
| LMArena Text | – | 1488 |
| LMArena Hard Prompts | – | 1505 |
| LMArena Coding | – | 1526 |
| LMArena Vision | – | 1306 |
| AA Intelligence Index | 47.5 | 31.3 |
| IFBench | – | 75.9% |
| AA-LCR | 83.7% | 78.0% |
| MMMU-Pro | 83.3% | 80.5% |
| AA-Omniscience | 27.1 | 7.2 |
| Terminal-Bench Hard | – | 45.5% |
| GPQA Diamond (AA) | – | 88.4% |
| Humanity's Last Exam (AA) | 47.9% | 40.7% |
| SciCode (AA) | 57.6% | – |
| τ²-Bench Telecom (AA) | – | 91.5% |
| AIME (Vals) | – | 96.9% |
| MMLU-Pro | – | 87.3% |
| LegalBench | – | 84.2% |
| CorpFin | – | 65.1% |
| TaxEval | – | 77.7% |
| SWE-bench (Vals) | – | 74.4% |
| GPQA Diamond (Vals) | – | 89.7% |
| 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% |
| CritPt | 30.9% | 11.3% |
| GDPval (AA) | 49.4% | 24.3% |
| CaseLaw v2 | – | 63.1% |
| MedCode | – | 51.3% |
| MedScribe | – | 85.9% |
| MMMU-Pro (Vals) | – | 87.4% |
| Terminal-Bench 2.0 (Vals) | – | 59.5% |
| Vibe Code Bench v1.1 | – | 19.7% |
| FORTRESS | – | 20.2% |
| SWE-Bench Pro (private) | – | 44.7% |
| SWE Atlas: Codebase QnA | – | 24.2% |
| SWE Atlas: Test Writing | – | 31.1% |
| LMArena Maths | – | 1461 |
| LMArena Creative Writing | – | 1464 |
| LMArena Instruction Following | – | 1463 |
| LMArena Multi-turn | – | 1491 |
| LMArena Longer Queries | – | 1474 |
| LMArena Document | – | 1467 |
| Terminal-Bench 4.0 (AA) | 43.9% | – |
| Terminal-Bench 2.1 (AA) | – | 62.2% |
| AutomationBench | 61.6% | – |
| GDP.pdf | 24.8% | – |
| MLCR | 16.1% | – |
| AA-Omniscience: accuracy | 54.5% | 49.6% |
| AA-Omniscience: non-hallucination | 39.9% | 15.8% |
| AA-Briefcase | 1483 | – |
Data as of 2026-09-23. Best configuration of each model; every score links to its source on the model pages.
GPT-6 Sol vs Muse Spark: questions
- Is GPT-6 Sol better than Muse Spark?
- GPT-6 Sol (max) leads on quality: 67.7 vs 65.3. The BenchLeader Index combines every independent quality benchmark; GPT-6 Sol (max) is ahead overall as of 2026-09-23, but check the category scores for your use.
- Which has the larger context window?
- GPT-6 Sol accepts more context: 1.1M against 262k tokens.