Claude Sonnet 4 vs o1-pro
Detailed pricing comparison and cost analysis.
Updated September 2026
Cost Simulator
| Feature | Claude Sonnet 4 | o1-pro |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Input Price (1M) | $3.00 | $150.00 |
| Output Price (1M) | $15.00 | $600.00 |
| Context Window | 200,000 | 200,000 |
Verdict
Claude Sonnet 4 costs $3.00 per 1M input tokens and $15.00 per 1M output tokens. o1-pro costs $150.00 per 1M input tokens and $600.00 per 1M output tokens. Claude Sonnet 4 is 98% cheaper on input tokens than o1-pro. For output tokens, Claude Sonnet 4 is the more affordable option at $15.00/1M vs $600.00.
On context window, Claude Sonnet 4 supports 200,000 tokens — meaning it can fit more conversation history, documents, or code in a single request. This matters for RAG pipelines, long document analysis, and agentic workflows where context builds up over many turns.
When to choose Claude Sonnet 4
- ✓ You need the lowest input token cost ($ 3.00/1M)
- ✓ Your workload is output-heavy — Claude Sonnet 4 generates text cheaper
- ✓ You are already integrated with Anthropic
When to choose o1-pro
- ✓ 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 Sonnet 4 cheaper than o1-pro? ▼
Claude Sonnet 4 is cheaper on input tokens at $3.00/1M vs $150.00/1M for o1-pro — a 98% saving.
What is the context window of Claude Sonnet 4 vs o1-pro? ▼
Claude Sonnet 4 has a 200,000-token context window. o1-pro has a 200,000-token context window. Claude Sonnet 4 supports the larger context, suitable for longer documents and agentic workflows.
Which model is better: Claude Sonnet 4 or o1-pro? ▼
The best choice depends on your use case. For cost efficiency on input tokens, Claude Sonnet 4 is the cheaper option. For maximum context length, Claude Sonnet 4 supports 200,000 tokens. Use the comparison table above to find the right fit for your workload.