GPT-6.1 Sol vs Muse Spark 1.3
GPT-6.1 Sol 
Muse Spark 1.3 Verdict
- GPT-6.1 Sol (max) leads on quality: 69.3 vs 67.7.
- GPT-6.1 Sol (max) is stronger in coding, knowledge, maths, multimodal.
- Muse Spark 1.3 (max) is stronger in agents & tools, composite, human preference, reasoning.
- Muse Spark 1.3 (max) is 2.0× cheaper ($2.00 vs $4.00 per 1M blended).
- Muse Spark 1.3 (max) streams 3.2× faster (175 vs 56 tokens per second).
| Metric | GPT-6.1 Sol (max) | Muse Spark 1.3 (max) |
|---|---|---|
| BenchLeader Index | 69.3 | 67.7 |
| Agents & tools score | 63.9 | 70.3 |
| Coding score | 72.4 | 64.6 |
| Composite score | 79.0 | 84.1 |
| Human preference score | 68.1 | 69.4 |
| Knowledge score | 78.8 | 72.9 |
| Long context score | 66.8 | 66.8 |
| Maths score | 72.5 | 63.6 |
| Multimodal score | 66.2 | 65.9 |
| Reasoning score | 76.4 | 78.1 |
| Blended price $/M | $4.00 | $2.00 |
| Output speed | 56 tok/s | 175 tok/s |
| Time to first answer | 326.9 s | 70.5 s |
| Context window | 1.1M | 1.0M |
| GPQA Diamond | 95.4% | – |
| FrontierMath Tiers 1–3 | 93.7% | 74.0% |
| FrontierMath Tier 4 | 100.0% | 46.3% |
| OTIS Mock AIME | 100.0% | – |
| SimpleQA Verified | 73.9% | – |
| Terminal-Bench | 58.2% | – |
| SciCode | 54.2% | 58.8% |
| APEX-Agents | 60.0% | – |
| ProofBench | – | 58.0% |
| LMArena Text | 1484 | 1494 |
| LMArena Hard Prompts | 1507 | 1517 |
| LMArena Coding | 1545 | 1538 |
| LMArena WebDev | 1755 | 1657 |
| LMArena Vision | 1288 | 1309 |
| LMArena Agent | 11.7 | 4 |
| 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 | 48.1 |
| AA-LCR | 83.0% | 83.0% |
| MMMU-Pro | 86.0% | – |
| AA-Omniscience | 41.5 | 25 |
| GPQA Diamond (AA) | – | 93.5% |
| Humanity's Last Exam (AA) | 52.9% | 48.7% |
| SciCode (AA) | 54.2% | 58.8% |
| IOI | 96.9% | 56.6% |
| Terminal-Bench 2.1 (Vals) | – | 79.0% |
| Vals Index | 61.1 | 58.2 |
| ARC-AGI-1 | 96.5% | – |
| ARC-AGI-2 | 94.2% | – |
| ARC-AGI-3 | 96.2% | – |
| CritPt | 31.7% | 24.9% |
| GDPval-AA v2.1 | 53.8% | 59.0% |
| τ³-Banking (AA) | – | 50.5% |
| ITBench SRE (AA) | – | 33.2% |
| Analyst Agent (AA) | 50.0% | – |
| BioMysteryBench | 79.6% | – |
| Code Migration | 65.1% | 47.4% |
| CUA-bench | – | 5.8% |
| CyberBench | 39.3% | 72.7% |
| Excel Modeling Benchmark | 70.8% | 67.4% |
| Finance Agent v2 | 52.0% | 60.0% |
| Harvey's Legal Agent Benchmark | 5.4% | 23.8% |
| Legal Research Bench | 38.5% | 55.3% |
| MedCode | 48.8% | – |
| MedScribe | 86.5% | – |
| MysteryMechanism | 46.4% | 36.0% |
| Public Benefits Bench | 59.3% | – |
| SAGE | 46.5% | – |
| SREBench | 50.8% | – |
| Tax Agent Bench | 62.3% | 72.4% |
| Terminal-Bench 4.0 (Vals) | 55.0% | 24.8% |
| Terminal-Bench Science | – | 10.0% |
| Vibe Code Bench 1-100 | – | 20.5% |
| Vibe Code Bench v1.1 | 88.9% | 85.9% |
| LMArena Maths | 1488 | 1502 |
| LMArena Creative Writing | 1462 | 1456 |
| LMArena Instruction Following | 1488 | 1483 |
| LMArena Multi-turn | 1487 | 1487 |
| LMArena Longer Queries | 1496 | 1497 |
| LMArena Document | – | 1468 |
| Chess Puzzles | 61.0% | 38.0% |
| EBR-bench | 54.3% | – |
| Mystery Game Puzzles | 80.0% | 25.0% |
| CursorBench | – | 41.6% |
| Terminal-Bench 4.0 (AA) | 56.1% | 33.3% |
| Terminal-Bench 2.1 (AA) | – | 84.3% |
| AutomationBench | 64.9% | 57.9% |
| GDP.pdf | 31.0% | 26.6% |
| MLCR | 33.9% | 43.3% |
| Harvey LAB | 6.9% | 8.9% |
| AA-Omniscience: accuracy | 62.1% | 43.6% |
| AA-Omniscience: non-hallucination | 45.7% | 67.1% |
| AA-Briefcase v1.1 | 1557 | 1581 |
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 1.3: questions
- Is GPT-6.1 Sol better than Muse Spark 1.3?
- GPT-6.1 Sol (max) leads on quality: 69.3 vs 67.7. 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 1.3 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 1.3 for agentic tasks?
- Muse Spark 1.3 scores higher in agentic tasks (70 vs 64 on the category index, where 50 is average).
- Which is cheaper, GPT-6.1 Sol or Muse Spark 1.3?
- Muse Spark 1.3 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 1.3?
- Muse Spark 1.3 streams faster: 175 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.