GPT-5.5 vs Muse Wonder
As of 13 Oct 2026, GPT-5.5 (xhigh) and Muse Wonder (max) are level on quality (65.9 vs 66.3 on the BenchLeader Index), and Muse Wonder (max) costs 1.4× less, which makes it the better buy for most workloads.
GPT-5.5 
Muse Wonder Key differences
- GPT-5.5 (xhigh) and Muse Wonder (max) are level on quality (65.9 vs 66.3).
- GPT-5.5 (xhigh) is stronger in agents & tools, coding, instruction following, long context, maths, multimodal.
- Muse Wonder (max) is stronger in composite, knowledge, reasoning.
- Muse Wonder (max) is 1.4× cheaper ($8.00 vs $11.25 per 1M blended).
Choose GPT-5.5 (xhigh) if
- long context is the priority (67 vs 66 on the category score)
Choose Muse Wonder (max) if
- reasoning is the priority (88 vs 76 on the category score)
- knowledge is the priority (73 vs 66 on the category score)
- cost matters: $8.00 against $11.25 per million tokens blended
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-5.5 (xhigh) | Muse Wonder (max) | Leader |
|---|---|---|---|
| Reasoning | 75.5 | 87.8 | Muse Wonder |
| Coding | 61.4 | – | not comparable |
| Agents & tools | 61.5 | – | not comparable |
| Maths | 69.9 | – | not comparable |
| Knowledge | 65.5 | 73.0 | Muse Wonder |
| Instruction following | 73.8 | – | not comparable |
| Multimodal | 63.1 | – | not comparable |
| Long context | 67.4 | 65.5 | GPT-5.5 |
| Composite | 68.9 | 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-5.5 (xhigh) | Muse Wonder (max) |
|---|---|---|
| Blended price per 1M tokens | $11.25 | $8.00 |
| Input / output per 1M | $5.00 / $30.00 | $4.00 / $20.00 |
| Price per task: chat reply | $0.011 | $0.0076 |
| Price per task: summarise a 30-page report | $0.078 | $0.060 |
| Price per task: code edit | $0.075 | $0.054 |
| Price per task: agentic coding session | $0.420 | $0.320 |
| Price per task: structured extraction | $0.016 | $0.012 |
| Cost to run a full benchmark suite | $2.63 | $4.52 |
| Output speed | 97 tok/s | 85 tok/s |
| Time to first answer | 70.3 s | 60.8 s |
| Time to a complete answer | 75.4 s | 66.7 s |
Every benchmark
| Metric | GPT-5.5 (xhigh) | Muse Wonder (max) |
|---|---|---|
| BenchLeader Index | 65.9 | 66.3 |
| Agents & tools score | 61.5 | – |
| Coding score | 61.4 | – |
| Composite score | 68.9 | 78.2 |
| Instruction following score | 73.8 | – |
| Knowledge score | 65.5 | 73.0 |
| Long context score | 67.4 | 65.5 |
| Maths score | 69.9 | – |
| Multimodal score | 63.1 | – |
| Reasoning score | 75.5 | 87.8 |
| Blended price $/M | $11.25 | $8.00 |
| Output speed | 97 tok/s | 85 tok/s |
| Time to first answer | 70.3 s | 60.8 s |
| Context window | 1.1M | 1.0M |
| FrontierMath Tiers 1–3 | 85.3% | – |
| FrontierMath Tier 4 | 72.5% | – |
| SimpleQA Verified | 63.0% | – |
| OSWorld-Verified 2.0 | 13.0% | – |
| SciCode | 56.1% | – |
| WeirdML | 84.9% | – |
| ProofBench | 50.0% | – |
| GSO-Bench | 40.2% | – |
| LMArena WebDev | 1513 | – |
| LMArena Agent | 4.4 | – |
| LiveBench | 80.2% | 81.2% |
| LiveBench Reasoning | 89.7% | 90.6% |
| LiveBench Coding | 82.2% | 80.7% |
| LiveBench Agentic Coding | 54.0% | 62.7% |
| LiveBench Mathematics | 95.9% | 96.5% |
| LiveBench Data Analysis | 81.6% | 81.6% |
| LiveBench Language | 87.4% | 82.9% |
| LiveBench Instruction Following | 70.7% | 73.0% |
| AA Intelligence Index v4.3.2 | 38.4 | 52.4 |
| IFBench | 75.8% | – |
| AA-LCR | 84.3% | 80.7% |
| MMMU-Pro | 79.9% | – |
| AA-Omniscience | 20.5 | 25.5 |
| Terminal-Bench Hard | 60.6% | – |
| GPQA Diamond (AA) | 93.5% | – |
| Humanity's Last Exam (AA) | 45.8% | 50.1% |
| SciCode (AA) | 55.8% | 60.3% |
| τ²-Bench Telecom (AA) | 93.9% | – |
| LiveCodeBench | 85.3% | – |
| MMLU-Pro | 88.1% | – |
| LegalBench | 86.5% | – |
| CorpFin | 68.4% | – |
| TaxEval | 75.0% | – |
| SWE-bench (Vals) | 82.6% | – |
| GPQA Diamond (Vals) | 93.2% | – |
| AIME 2026 | 100.0% | – |
| HMMT February 2026 | 98.5% | – |
| MathArena Apex | 80.2% | – |
| MCP Atlas | 75.3% | – |
| ARC-AGI-1 | 95.0% | – |
| ARC-AGI-2 | 85.0% | – |
| CritPt | 27.1% | 28.3% |
| GDPval-AA v2.1 | 42.5% | 63.5% |
| τ³-Banking (AA) | 39.0% | – |
| ITBench SRE (AA) | 45.8% | – |
| Analyst Agent (AA) | 50.0% | – |
| APEX-Agents (AA) | 37.7% | – |
| CaseLaw v2 | 66.2% | – |
| Code Migration | 45.2% | – |
| Excel Modeling Benchmark | 64.5% | – |
| Finance Agent v2 | 51.8% | – |
| Harvey's Legal Agent Benchmark | 3.8% | – |
| Legal Research Bench | 40.4% | – |
| MedCode | 49.1% | – |
| MedScribe | 86.9% | – |
| MMMU-Pro (Vals) | 88.3% | – |
| MortgageTax | 68.8% | – |
| ProgramBench | 0.5% | – |
| Public Benefits Bench | 60.9% | – |
| SAGE | 51.5% | – |
| SkillsBench | 62.2% | – |
| SREBench | 3.8% | – |
| Tax Agent Bench | 60.5% | – |
| Time Horizon Index: KSP | 8.3% | – |
| Vals Multimodal Index | 68.1% | – |
| Vibe Code Bench v1.1 | 69.8% | – |
| DrugDiscoveryBench | 51.6% | – |
| FORTRESS | 16.3% | – |
| SWE Atlas: Codebase QnA | 45.4% | – |
| SWE Atlas: Refactoring | 44.8% | – |
| SWE Atlas: Test Writing | 42.6% | – |
| EBR-bench | 34.3% | – |
| Mystery Game Puzzles | 56.0% | – |
| PostTrainBench | 27.2% | – |
| DeepSWE v1.1 | 67.0% | – |
| LMCA | 54.3% | – |
| DTBench | 96.0% | – |
| ALE-Bench | 1943.0 | – |
| GDP.pdf | 26.0% | – |
| Terminal-Bench 4.0 (AA) | 14.7% | 52.0% |
| Terminal-Bench 2.1 (AA) | 84.3% | – |
| AutomationBench | – | 68.1% |
| GDP.pdf | – | 30.6% |
| AA-Omniscience: accuracy | 58.0% | 41.1% |
| AA-Omniscience: non-hallucination | 11.0% | 73.5% |
| AA-Briefcase v1.1 | – | 1659 |
Data as of 2026-10-13. Best configuration of each model; every score links to its source on the model pages.
GPT-5.5 vs Muse Wonder: questions
- Is GPT-5.5 better than Muse Wonder?
- GPT-5.5 (xhigh) and Muse Wonder (max) are level on quality (65.9 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-5.5 or Muse Wonder?
- Muse Wonder is cheaper: $8.00 against $11.25 per million tokens, blended at three input tokens per output token.
- Which is faster, GPT-5.5 or Muse Wonder?
- GPT-5.5 streams faster: 97 against 85 output tokens per second.
- Which has the larger context window?
- GPT-5.5 accepts more context: 1.1M against 1.0M tokens.