GPT-6.1 Sol vs Muse Spark 1.2
GPT-6.1 Sol 
Muse Spark 1.2 Verdict
- GPT-6.1 Sol (max) leads on quality: 69.3 vs 62.7.
- GPT-6.1 Sol (max) is stronger in agents & tools, coding, composite, knowledge, long context, maths, multimodal, reasoning.
- Muse Spark 1.2 (xhigh) is stronger in human preference.
- Muse Spark 1.2 (xhigh) is 2.0× cheaper ($2.00 vs $4.00 per 1M blended).
- Muse Spark 1.2 (xhigh) streams 5.9× faster (325 vs 56 tokens per second).
| Metric | GPT-6.1 Sol (max) | Muse Spark 1.2 (xhigh) |
|---|---|---|
| BenchLeader Index | 69.3 | 62.7 |
| Agents & tools score | 63.9 | 55.9 |
| Coding score | 72.4 | 55.0 |
| Composite score | 79.0 | 66.6 |
| Human preference score | 68.1 | 69.1 |
| Knowledge score | 78.8 | 66.9 |
| Long context score | 66.8 | 64.7 |
| Maths score | 72.5 | 66.7 |
| Multimodal score | 66.2 | 65.3 |
| Reasoning score | 76.4 | 69.8 |
| Blended price $/M | $4.00 | $2.00 |
| Output speed | 56 tok/s | 325 tok/s |
| Time to first answer | 326.9 s | 18.2 s |
| Context window | 1.1M | 1.0M |
| GPQA Diamond | 95.4% | – |
| FrontierMath Tiers 1–3 | 93.7% | – |
| FrontierMath Tier 4 | 100.0% | – |
| OTIS Mock AIME | 100.0% | – |
| SimpleQA Verified | 73.9% | 60.3% |
| Terminal-Bench | 58.2% | – |
| SciCode | 54.2% | 56.4% |
| WeirdML | – | 60.3% |
| APEX-Agents | 60.0% | – |
| LMArena Text | 1484 | 1492 |
| LMArena Hard Prompts | 1507 | 1508 |
| LMArena Coding | 1545 | 1531 |
| LMArena WebDev | 1755 | 1533 |
| LMArena Vision | 1288 | 1305 |
| LMArena Agent | 11.7 | -3.7 |
| LiveBench | 81.6% | 78.0% |
| LiveBench Reasoning | 92.6% | 90.0% |
| LiveBench Coding | 80.4% | 77.5% |
| LiveBench Agentic Coding | 54.5% | 57.6% |
| LiveBench Mathematics | 96.8% | 91.2% |
| LiveBench Data Analysis | 82.7% | 76.5% |
| LiveBench Language | 90.1% | 78.6% |
| LiveBench Instruction Following | 74.2% | 74.3% |
| AA Intelligence Index v4.3.2 | 51.8 | 39.6 |
| AA-LCR | 83.0% | 79.0% |
| MMMU-Pro | 86.0% | – |
| AA-Omniscience | 41.5 | 27.2 |
| GPQA Diamond (AA) | – | 90.4% |
| Humanity's Last Exam (AA) | 52.9% | 45.5% |
| SciCode (AA) | 54.2% | 57.4% |
| MMLU-Pro | – | 88.3% |
| IOI | 96.9% | 21.8% |
| LegalBench | – | 85.3% |
| CorpFin | – | 70.9% |
| TaxEval | – | 80.4% |
| Terminal-Bench 2.1 (Vals) | – | 69.7% |
| SWE-bench (Vals) | – | 86.6% |
| Vals Index | 61.1 | 49.3 |
| ARC-AGI-1 | 96.5% | – |
| ARC-AGI-2 | 94.2% | – |
| ARC-AGI-3 | 96.2% | – |
| CritPt | 31.7% | 17.7% |
| GDPval-AA v2.1 | 53.8% | 48.9% |
| τ³-Banking (AA) | – | 34.9% |
| Analyst Agent (AA) | 50.0% | – |
| BioMysteryBench | 79.6% | 64.8% |
| Code Migration | 65.1% | 29.9% |
| CyberBench | 39.3% | 69.5% |
| Excel Modeling Benchmark | 70.8% | 57.0% |
| Finance Agent v2 | 52.0% | 60.6% |
| Harvey's Legal Agent Benchmark | 5.4% | 25.4% |
| Legal Research Bench | 38.5% | 43.8% |
| MedCode | 48.8% | 49.4% |
| MedScribe | 86.5% | 90.1% |
| MMMU-Pro (Vals) | – | 86.1% |
| MortgageTax | – | 65.4% |
| MysteryMechanism | 46.4% | – |
| Public Benefits Bench | 59.3% | 68.5% |
| SAGE | 46.5% | 47.7% |
| SkillsBench | – | 53.0% |
| SREBench | 50.8% | – |
| Tax Agent Bench | 62.3% | 56.9% |
| Terminal-Bench 4.0 (Vals) | 55.0% | 6.1% |
| Vibe Code Bench v1.1 | 88.9% | 79.1% |
| LMArena Maths | 1488 | 1481 |
| LMArena Creative Writing | 1462 | 1454 |
| LMArena Instruction Following | 1488 | 1471 |
| LMArena Multi-turn | 1487 | 1506 |
| LMArena Longer Queries | 1496 | 1489 |
| Chess Puzzles | 61.0% | – |
| EBR-bench | 54.3% | – |
| Mystery Game Puzzles | 80.0% | – |
| DeepSWE v1.1 | – | 54.9% |
| LMCA | – | 48.4% |
| DTBench | – | 94.7% |
| GDP.pdf | – | 16.0% |
| FrontierSWE | – | 12.0% |
| Terminal-Bench 4.0 (AA) | 56.1% | 7.1% |
| Terminal-Bench 2.1 (AA) | – | 80.2% |
| AutomationBench | 64.9% | – |
| GDP.pdf | 31.0% | – |
| MLCR | 33.9% | – |
| Harvey LAB | 6.9% | – |
| AA-Omniscience: accuracy | 62.1% | 45.4% |
| AA-Omniscience: non-hallucination | 45.7% | 66.7% |
| 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 1.2: questions
- Is GPT-6.1 Sol better than Muse Spark 1.2?
- GPT-6.1 Sol (max) leads on quality: 69.3 vs 62.7. 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 1.2 for coding?
- GPT-6.1 Sol scores higher in coding (72 vs 55 on the category index, where 50 is average).
- Is GPT-6.1 Sol better than Muse Spark 1.2 for agentic tasks?
- GPT-6.1 Sol scores higher in agentic tasks (64 vs 56 on the category index, where 50 is average).
- Which is cheaper, GPT-6.1 Sol or Muse Spark 1.2?
- Muse Spark 1.2 is cheaper: $2.00 against $4.00 per million tokens, blended at three input tokens per output token.
- Which is faster, GPT-6.1 Sol or Muse Spark 1.2?
- Muse Spark 1.2 streams faster: 325 against 56 output tokens per second.
- Which has the larger context window?
- GPT-6.1 Sol accepts more context: 1.1M against 1.0M tokens.