Claude Opus 4.1 vs GPT-4
Detailed pricing comparison and cost analysis.
Updated September 2026
Cost Simulator
| Feature | Claude Opus 4.1 | GPT-4 |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Input Price (1M) | $15.00 | $30.00 |
| Output Price (1M) | $75.00 | $60.00 |
| Context Window | 200,000 | 8,192 |
Verdict
Claude Opus 4.1 costs $15.00 per 1M input tokens and $75.00 per 1M output tokens. GPT-4 costs $30.00 per 1M input tokens and $60.00 per 1M output tokens. Claude Opus 4.1 is 50% cheaper on input tokens than GPT-4. For output tokens, GPT-4 is the more affordable option at $60.00/1M vs $75.00.
On context window, Claude Opus 4.1 supports 200,000 tokens — meaning it can fit more conversation history, documents, or code in a single request. This matters for RAG pipelines, long document analysis, and agentic workflows where context builds up over many turns.
When to choose Claude Opus 4.1
- ✓ You need the lowest input token cost ($ 15.00/1M)
- ✓ You need a larger context window (200,000 tokens)
- ✓ You are already integrated with Anthropic
When to choose GPT-4
- ✓ Your workload is output-heavy — GPT-4 generates text cheaper
- ✓ 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 4.1 cheaper than GPT-4? ▼
Claude Opus 4.1 is cheaper on input tokens at $15.00/1M vs $30.00/1M for GPT-4 — a 50% saving.
What is the context window of Claude Opus 4.1 vs GPT-4? ▼
Claude Opus 4.1 has a 200,000-token context window. GPT-4 has a 8,192-token context window. Claude Opus 4.1 supports the larger context, suitable for longer documents and agentic workflows.
Which model is better: Claude Opus 4.1 or GPT-4? ▼
The best choice depends on your use case. For cost efficiency on input tokens, Claude Opus 4.1 is the cheaper option. For maximum context length, Claude Opus 4.1 supports 200,000 tokens. Use the comparison table above to find the right fit for your workload.