GPT-5.6 Sol vs Claude Opus 4
Detailed pricing comparison and cost analysis.
Updated September 2026
Cost Simulator
| Feature | GPT-5.6 Sol | Claude Opus 4 |
|---|---|---|
| Provider | OpenAI | Anthropic |
| Input Price (1M) | $4.00 | $15.00 |
| Output Price (1M) | $20.00 | $75.00 |
| Context Window | 1,000,000 | 200,000 |
Verdict
GPT-5.6 Sol costs $4.00 per 1M input tokens and $20.00 per 1M output tokens. Claude Opus 4 costs $15.00 per 1M input tokens and $75.00 per 1M output tokens. GPT-5.6 Sol is 73% cheaper on input tokens than Claude Opus 4. For output tokens, GPT-5.6 Sol is the more affordable option at $20.00/1M vs $75.00.
On context window, GPT-5.6 Sol supports 1,000,000 tokens — meaning it can fit more conversation history, documents, or code in a single request. This matters for RAG pipelines, long document analysis, and agentic workflows where context builds up over many turns.
When to choose GPT-5.6 Sol
- ✓ You need the lowest input token cost ($ 4.00/1M)
- ✓ Your workload is output-heavy — GPT-5.6 Sol generates text cheaper
- ✓ You need a larger context window (1,000,000 tokens)
- ✓ You are already integrated with OpenAI
When to choose Claude Opus 4
- ✓ You are already integrated with Anthropic
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 GPT-5.6 Sol cheaper than Claude Opus 4? ▼
GPT-5.6 Sol is cheaper on input tokens at $4.00/1M vs $15.00/1M for Claude Opus 4 — a 73% saving.
What is the context window of GPT-5.6 Sol vs Claude Opus 4? ▼
GPT-5.6 Sol has a 1,000,000-token context window. Claude Opus 4 has a 200,000-token context window. GPT-5.6 Sol supports the larger context, suitable for longer documents and agentic workflows.
Which model is better: GPT-5.6 Sol or Claude Opus 4? ▼
The best choice depends on your use case. For cost efficiency on input tokens, GPT-5.6 Sol is the cheaper option. For maximum context length, GPT-5.6 Sol supports 1,000,000 tokens. Use the comparison table above to find the right fit for your workload.