Claude Opus 4.7 vs GPT-5.5
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Claude Opus 4.7 and GPT-5.5.
Claude Opus 4.7
Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on...
GPT-5.5
GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token...
Technical Specifications
| Specification | Claude Opus 4.7 | GPT-5.5 |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Context Window | 1,000,000 tokens | 1,050,000 tokens |
| Agent Suitability | 96/100 | 95/100 |
| Time to First Token (TTFT) | 480 ms | 380 ms |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-04-16 | 2026-04-24 |
API Pricing Comparison
Input Price per Million Tokens
Claude Opus 4.7
$5.00
GPT-5.5
$5.00
Output Price per Million Tokens
Claude Opus 4.7
$25.00
GPT-5.5
$30.00
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
Claude Opus 4.7 Quirks & Gotchas
- ▸Top-tier agentic coding model — excels at autonomous software engineering
- ▸Requires explicit tool_choice parameter for parallel function calling to work reliably
GPT-5.5 Quirks & Gotchas
- ▸Best for JSON schema adherence — strict mode available via response_format parameter
- ▸Requires explicit tool_choice for deterministic function calling