Compare · ModelsLive · 2 picked · head to head
GPT-5.5 vs Claude Opus 4.7
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
GPT-5.5 wins on 2/3 benchmarks
GPT-5.5 wins 2 of 3 shared benchmarks. Leads in reasoning · knowledge.
Category leads
reasoning·GPT-5.5knowledge·GPT-5.5coding·Claude Opus 4.7
Hype vs Reality
Attention vs performance
GPT-5.5
#2 by perf·no signal
Claude Opus 4.7
#65 by perf·no signal
Best value
GPT-5.5
1.3x better value than Claude Opus 4.7
GPT-5.5
4.9 pts/$
$17.50/M
Claude Opus 4.7
3.9 pts/$
$15.00/M
Vendor risk
Who is behind the model
OpenAI
$840.0B·Tier 1
Anthropic
$380.0B·Tier 1
Head to head
3 benchmarks · 2 models
GPT-5.5Claude Opus 4.7
ARC-AGI
GPT-5.5 leads by +1.5
ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization.
GPT-5.5
95.0
Claude Opus 4.7
93.5
GPQA diamond
GPT-5.5 leads by +6.7
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
GPT-5.5
93.6
Claude Opus 4.7
86.9
Terminal Bench
Claude Opus 4.7 leads by +7.5
Terminal-Bench 2.0 · evaluates AI agents on real terminal-based coding tasks · writing scripts, debugging, running tests, and managing projects entirely through command-line interaction. Tests both code quality and terminal fluency. Claude Opus 4.7 scores 69.4%, demonstrating significant agentic terminal competence.
GPT-5.5
82.7
Claude Opus 4.7
90.2
Full benchmark table
| Benchmark | GPT-5.5 | Claude Opus 4.7 |
|---|---|---|
ARC-AGI ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization. | 95.0 | 93.5 |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 93.6 | 86.9 |
Terminal Bench Terminal-Bench 2.0 · evaluates AI agents on real terminal-based coding tasks · writing scripts, debugging, running tests, and managing projects entirely through command-line interaction. Tests both code quality and terminal fluency. Claude Opus 4.7 scores 69.4%, demonstrating significant agentic terminal competence. | 82.7 | 90.2 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $5.00 | $30.00 | 400K tokens (~200 books) | $112.50 | |
| $5.00 | $25.00 | 1.0M tokens (~500 books) | $100.00 |