GPT-5.5 Pro vs Muse Wonder
As of 13 Oct 2026, GPT-5.5 Pro (xhigh) and Muse Wonder (max) are level on quality (65.4 vs 66.3 on the BenchLeader Index), and Muse Wonder (max) costs 8.4× less, which makes it the better buy for most workloads.
GPT-5.5 Pro 
Muse Wonder Key differences
- GPT-5.5 Pro (xhigh) and Muse Wonder (max) are level on quality (65.4 vs 66.3).
- GPT-5.5 Pro (xhigh) is stronger in maths.
- Muse Wonder (max) is stronger in reasoning, composite, knowledge, long context.
- Muse Wonder (max) is 8.4× cheaper ($8.00 vs $67.50 per 1M blended).
- Muse Wonder (max) streams 3.7× faster (85 vs 23 tokens per second).
Choose GPT-5.5 Pro (xhigh) if
- the wait for the first word matters: 3.3 s against 60.8 s to first answer
Choose Muse Wonder (max) if
- reasoning is the priority (88 vs 78 on the category score)
- cost matters: $8.00 against $67.50 per million tokens blended
- you need fast output: 85 against 23 tokens per second
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 Pro (xhigh) | Muse Wonder (max) | Leader |
|---|---|---|---|
| Reasoning | 77.6 | 87.8 | Muse Wonder |
| Maths | 71.8 | – | not comparable |
| Knowledge | – | 73.0 | not comparable |
| Long context | – | 65.5 | not comparable |
| Composite | – | 78.2 | not comparable |
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 Pro (xhigh) | Muse Wonder (max) |
|---|---|---|
| Blended price per 1M tokens | $67.50 | $8.00 |
| Input / output per 1M | $30.00 / $180.00 | $4.00 / $20.00 |
| Price per task: chat reply | $0.066 | $0.0076 |
| Price per task: summarise a 30-page report | $0.468 | $0.060 |
| Price per task: code edit | $0.450 | $0.054 |
| Price per task: agentic coding session | $2.52 | $0.320 |
| Price per task: structured extraction | $0.096 | $0.012 |
| Cost to run a full benchmark suite | – | $4.52 |
| Output speed | 23 tok/s | 85 tok/s |
| Time to first answer | 3.3 s | 60.8 s |
| Time to a complete answer | – | 66.7 s |
Every benchmark
| Metric | GPT-5.5 Pro (xhigh) | Muse Wonder (max) |
|---|---|---|
| BenchLeader Index | 65.4 | 66.3 |
| Maths score | 71.8 | – |
| Reasoning score | 77.6 | 87.8 |
| Composite score | – | 78.2 |
| Knowledge score | – | 73.0 |
| Long context score | – | 65.5 |
| Blended price $/M | $67.50 | $8.00 |
| Output speed | 23 tok/s | 85 tok/s |
| Time to first answer | 3.3 s | 60.8 s |
| Context window | 1.1M | 1.0M |
| FrontierMath Tiers 1–3 | 87.7% | – |
| FrontierMath Tier 4 | 78.0% | – |
| LiveBench | – | 81.2% |
| LiveBench Reasoning | – | 90.6% |
| LiveBench Coding | – | 80.7% |
| LiveBench Agentic Coding | – | 62.7% |
| LiveBench Mathematics | – | 96.5% |
| LiveBench Data Analysis | – | 81.6% |
| LiveBench Language | – | 82.9% |
| LiveBench Instruction Following | – | 73.0% |
| AA Intelligence Index v4.3.2 | – | 52.4 |
| AA-LCR | – | 80.7% |
| AA-Omniscience | – | 25.5 |
| Humanity's Last Exam (AA) | – | 50.1% |
| SciCode (AA) | – | 60.3% |
| ARC-AGI-1 | 95.0% | – |
| ARC-AGI-2 | 84.2% | – |
| CritPt | 30.6% | 28.3% |
| GDPval-AA v2.1 | – | 63.5% |
| LMCA | 53.9% | – |
| DTBench | 96.0% | – |
| Terminal-Bench 4.0 (AA) | – | 52.0% |
| AutomationBench | – | 68.1% |
| GDP.pdf | – | 30.6% |
| AA-Omniscience: accuracy | – | 41.1% |
| AA-Omniscience: non-hallucination | – | 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 Pro vs Muse Wonder: questions
- Is GPT-5.5 Pro better than Muse Wonder?
- GPT-5.5 Pro (xhigh) and Muse Wonder (max) are level on quality (65.4 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 Pro or Muse Wonder?
- Muse Wonder is cheaper: $8.00 against $67.50 per million tokens, blended at three input tokens per output token.
- Which is faster, GPT-5.5 Pro or Muse Wonder?
- Muse Wonder streams faster: 85 against 23 output tokens per second.
- Which has the larger context window?
- GPT-5.5 Pro accepts more context: 1.1M against 1.0M tokens.