GPT-5.5 vs Claude Opus 4.7
Both cost $5.00/M input. Opus 4.7 is 17% cheaper on output ($25.00 vs $30.00). Context windows are similar (1.05M vs 1M).
Pricing data verified: 2026-06-21
| Specification | GPT-5.5 (OpenAI) | Claude Opus 4.7 (Anthropic) |
|---|---|---|
| Input Price (per 1M tokens) | $5.00 | $5.00 |
| Output Price (per 1M tokens) | $30.00 | $25.00 |
| Context Window | 1.05M | 1M |
| Tier | Premium | Premium |
| Provider | OpenAI | Anthropic |
Calculate Your Exact Costs
See how the costs stack up for your specific usage pattern.
Other Models to Consider
Which Model for Which Use Case?
Complex Reasoning & Research
Both models excel here. GPT-5.5 has a slight edge on math and science benchmarks. Opus 4.7 leads on nuanced analysis and multi-step reasoning chains. Test both on your specific tasks.
Production Code Generation
Opus 4.7 generates more reliable, instruction-following code. GPT-5.5 handles complex architecture decisions well. For production code where correctness matters most, Opus 4.7 has a slight edge.
Output-Heavy Workloads
Opus 4.7 saves 17% on output costs ($25 vs $30/M). At 10,000 requests/day with 500 output tokens, that's ~$75/month saved. Not massive, but meaningful at scale.
Ecosystem Integration
GPT-5.5 integrates with OpenAI's API, Azure, and the broader GPT ecosystem. Opus 4.7 works with Anthropic's API and AWS Bedrock. Choose based on your existing infrastructure.
Need the Full Comparison?
APIpulse Pro lets you compare all 42 models, find the cheapest option for your exact usage, and save scenarios for your team.
Frequently Asked Questions
Is Claude Opus 4.7 cheaper than GPT-5.5?
Input pricing is identical at $5.00/M. Opus 4.7 is 17% cheaper on output ($25.00/M vs $30.00/M). For output-heavy workloads, Opus 4.7 saves a modest amount.
Which model has better reasoning?
Both are state-of-the-art. GPT-5.5 leads on some benchmarks (math, science), while Opus 4.7 excels at nuanced analysis, instruction-following, and safety. The difference is task-dependent.
Which is better for coding?
Both are excellent at coding. GPT-5.5 has a slight edge on complex multi-step engineering tasks. Opus 4.7 is more reliable at following precise instructions and generating production-ready code.
When should I pick one over the other?
Choose GPT-5.5 for OpenAI ecosystem integration, Azure, and tasks where GPT's strengths shine. Choose Opus 4.7 for Anthropic's safety standards, precise instruction-following, and 17% output cost savings.