GPT-6 Sol vs Muse Wonder
As of 13 Oct 2026, GPT-6 Sol (max) and Muse Wonder (max) are level on quality (65.7 vs 66.3 on the BenchLeader Index), and GPT-6 Sol (max) costs 2.0× less, which makes it the better buy for most workloads.
GPT-6 Sol 
Muse Wonder Key differences
- GPT-6 Sol (max) and Muse Wonder (max) are level on quality (65.7 vs 66.3).
- GPT-6 Sol (max) is stronger in agents & tools, coding, human preference, long context, maths, multimodal.
- Muse Wonder (max) is stronger in composite, knowledge, reasoning.
- GPT-6 Sol (max) is 2.0× cheaper ($4.00 vs $8.00 per 1M blended).
- GPT-6 Sol (max) streams 1.4× faster (122 vs 85 tokens per second).
Choose GPT-6 Sol (max) if
- long context is the priority (67 vs 66 on the category score)
- cost matters: $4.00 against $8.00 per million tokens blended
- you need fast output: 122 against 85 tokens per second
Choose Muse Wonder (max) if
- reasoning is the priority (88 vs 72 on the category score)
- knowledge is the priority (73 vs 70 on the category score)
- the wait for the first word matters: 60.8 s against 133.8 s to first answer
Category by category
Category scores on the BenchLeader scale: 50 is the average evaluated model, 15 points is one standard deviation. A gap under one point is called level.
| Category | GPT-6 Sol (max) | Muse Wonder (max) | Leader |
|---|---|---|---|
| Reasoning | 71.7 | 87.8 | Muse Wonder |
| Coding | 67.6 | – | not comparable |
| Agents & tools | 60.3 | – | not comparable |
| Maths | 69.5 | – | not comparable |
| Knowledge | 70.0 | 73.0 | Muse Wonder |
| Human preference | 64.7 | – | not comparable |
| Multimodal | 61.9 | – | not comparable |
| Long context | 67.0 | 65.5 | GPT-6 Sol |
| Composite | 72.7 | 78.2 | Muse Wonder |
Price, speed and latency
List prices blended at three input tokens per output token. Per-task prices use the token counts on the methodology page; suite cost is what Artificial Analysis paid to run its whole Intelligence Index.
| Measure | GPT-6 Sol (max) | Muse Wonder (max) |
|---|---|---|
| Blended price per 1M tokens | $4.00 | $8.00 |
| Input / output per 1M | $2.00 / $10.00 | $4.00 / $20.00 |
| Price per task: chat reply | $0.0038 | $0.0076 |
| Price per task: summarise a 30-page report | $0.030 | $0.060 |
| Price per task: code edit | $0.027 | $0.054 |
| Price per task: agentic coding session | $0.160 | $0.320 |
| Price per task: structured extraction | $0.0060 | $0.012 |
| Cost to run a full benchmark suite | $1.04 | $4.52 |
| Output speed | 122 tok/s | 85 tok/s |
| Time to first answer | 133.8 s | 60.8 s |
| Time to a complete answer | 137.9 s | 66.7 s |
Every benchmark
| Metric | GPT-6 Sol (max) | Muse Wonder (max) |
|---|---|---|
| BenchLeader Index | 65.7 | 66.3 |
| Agents & tools score | 60.3 | – |
| Coding score | 67.6 | – |
| Composite score | 72.7 | 78.2 |
| Human preference score | 64.7 | – |
| Knowledge score | 70.0 | 73.0 |
| Long context score | 67.0 | 65.5 |
| Maths score | 69.5 | – |
| Multimodal score | 61.9 | – |
| Reasoning score | 71.7 | 87.8 |
| Blended price $/M | $4.00 | $8.00 |
| Output speed | 122 tok/s | 85 tok/s |
| Time to first answer | 133.8 s | 60.8 s |
| Context window | 1.1M | 1.0M |
| GPQA Diamond | 94.3% | – |
| FrontierMath Tiers 1–3 | 89.8% | – |
| FrontierMath Tier 4 | 90.0% | – |
| OTIS Mock AIME | 100.0% | – |
| SimpleQA Verified | 60.7% | – |
| Terminal-Bench | 49.4% | – |
| SciCode | 57.6% | – |
| APEX-Agents | 54.3% | – |
| FrontierCode | 49.3% | – |
| LMArena Text | 1456 | – |
| LMArena Hard Prompts | 1482 | – |
| LMArena Coding | 1519 | – |
| LMArena WebDev | 1688 | – |
| LMArena Vision | 1245 | – |
| LMArena Agent | 9.9 | – |
| LiveBench | 79.3% | 81.2% |
| LiveBench Reasoning | 88.7% | 90.6% |
| LiveBench Coding | 81.8% | 80.7% |
| LiveBench Agentic Coding | 52.9% | 62.7% |
| LiveBench Mathematics | 96.4% | 96.5% |
| LiveBench Data Analysis | 81.2% | 81.6% |
| LiveBench Language | 85.3% | 82.9% |
| LiveBench Instruction Following | 68.6% | 73.0% |
| AA Intelligence Index v4.3.2 | 47.6 | 52.4 |
| AA-LCR | 83.7% | 80.7% |
| MMMU-Pro | 83.0% | – |
| AA-Omniscience | 27.1 | 25.5 |
| Humanity's Last Exam (AA) | 47.9% | 50.1% |
| SciCode (AA) | 57.6% | 60.3% |
| IOI | 82.6% | – |
| Terminal-Bench 2.1 (Vals) | 83.2% | – |
| Vals Index | 57.5 | – |
| ARC-AGI-1 | 95.5% | – |
| ARC-AGI-2 | 89.6% | – |
| ARC-AGI-3 | 23.0% | – |
| CritPt | 30.9% | 28.3% |
| GDPval-AA v2.1 | 50.4% | 63.5% |
| ITBench SRE (AA) | 49.4% | – |
| BioMysteryBench | 74.8% | – |
| Code Migration | 57.2% | – |
| CyberBench | 78.0% | – |
| Excel Modeling Benchmark | 71.5% | – |
| Finance Agent v2 | 49.0% | – |
| Harvey's Legal Agent Benchmark | 1.7% | – |
| Legal Research Bench | 28.9% | – |
| MedCode | 47.1% | – |
| MedScribe | 82.0% | – |
| MysteryMechanism | 30.2% | – |
| ProgramBench | 2.0% | – |
| Public Benefits Bench | 56.6% | – |
| SAGE | 44.8% | – |
| Tax Agent Bench | 53.0% | – |
| Terminal-Bench 4.0 (Vals) | 44.4% | – |
| Terminal-Bench Science | 30.0% | – |
| Vibe Code Bench v1.1 | 87.8% | – |
| LMArena Maths | 1446 | – |
| LMArena Creative Writing | 1436 | – |
| LMArena Instruction Following | 1451 | – |
| LMArena Multi-turn | 1467 | – |
| LMArena Longer Queries | 1463 | – |
| EBR-bench | 53.3% | – |
| Mystery Game Puzzles | 56.0% | – |
| LMCA | 59.1% | – |
| DTBench | 97.3% | – |
| ALE-Bench | 2462 | – |
| GDP.pdf | 26.4% | – |
| Terminal-Bench 4.0 (AA) | 43.9% | 52.0% |
| AutomationBench | 61.6% | 68.1% |
| GDP.pdf | 25.2% | 30.6% |
| MLCR | 16.1% | – |
| Harvey LAB-AA v1.1 | 3.6% | – |
| AA-Omniscience: accuracy | 54.5% | 41.1% |
| AA-Omniscience: non-hallucination | 39.9% | 73.5% |
| AA-Briefcase v1.1 | 1480 | 1659 |
| Terminal-Bench-Science 0.1 (AA) | 30.0% | – |
| AA Cyber Index | 3682.8% | – |
| CWE-Bench (AA) | 64.2% | – |
| DeepSec-Bench (AA) | 46.3% | – |
| CyberGym end-to-end (AA) | 0.0% | – |
| AA-3D | 1123 | – |
Data as of 2026-10-13. Best configuration of each model; every score links to its source on the model pages.
GPT-6 Sol vs Muse Wonder: questions
- Is GPT-6 Sol better than Muse Wonder?
- GPT-6 Sol (max) and Muse Wonder (max) are level on quality (65.7 vs 66.3). The BenchLeader Index combines every independent quality benchmark; Muse Wonder (max) is ahead overall as of 2026-10-13, but check the category scores for your use.
- Which is cheaper, GPT-6 Sol or Muse Wonder?
- GPT-6 Sol is cheaper: $4.00 against $8.00 per million tokens, blended at three input tokens per output token.
- Which is faster, GPT-6 Sol or Muse Wonder?
- GPT-6 Sol streams faster: 122 against 85 output tokens per second.
- Which has the larger context window?
- GPT-6 Sol accepts more context: 1.1M against 1.0M tokens.