Claude Opus 4.6 vs GPT-5.5
Detailed pricing comparison and cost analysis.
Updated September 2026
Cost Simulator
| Feature | Claude Opus 4.6 | GPT-5.5 |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Input Price (1M) | $5.00 | $5.00 |
| Output Price (1M) | $25.00 | $30.00 |
| Context Window | 1,000,000 | 1,000,000 |
Verdict
Claude Opus 4.6 costs $5.00 per 1M input tokens and $25.00 per 1M output tokens. GPT-5.5 costs $5.00 per 1M input tokens and $30.00 per 1M output tokens. Claude Opus 4.6 and GPT-5.5 have identical input token pricing. For output tokens, Claude Opus 4.6 is the more affordable option at $25.00/1M vs $30.00.
On context window, Claude Opus 4.6 supports 1,000,000 tokens — meaning it can fit more conversation history, documents, or code in a single request. This matters for RAG pipelines, long document analysis, and agentic workflows where context builds up over many turns.
When to choose Claude Opus 4.6
- ✓ Your workload is output-heavy — Claude Opus 4.6 generates text cheaper
- ✓ You are already integrated with Anthropic
When to choose GPT-5.5
- ✓ You are already integrated with OpenAI
Use the calculator above to simulate your specific workload and find the exact break-even point. For most applications, the cheapest model is the one that minimises your total monthly bill given your input-to-output token ratio.
Frequently Asked Questions
Is Claude Opus 4.6 cheaper than GPT-5.5? ▼
Claude Opus 4.6 and GPT-5.5 have identical input token pricing at $5.00/1M tokens.
What is the context window of Claude Opus 4.6 vs GPT-5.5? ▼
Claude Opus 4.6 has a 1,000,000-token context window. GPT-5.5 has a 1,000,000-token context window. Claude Opus 4.6 supports the larger context, suitable for longer documents and agentic workflows.
Which model is better: Claude Opus 4.6 or GPT-5.5? ▼
The best choice depends on your use case. For cost efficiency on input tokens, Claude Opus 4.6 is the cheaper option. For maximum context length, Claude Opus 4.6 supports 1,000,000 tokens. Use the comparison table above to find the right fit for your workload.