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Claude Opus 4 vs GPT-4

Detailed pricing comparison and cost analysis.

Updated September 2026

Cost Simulator

Claude Opus 4 Cost
$30.00
GPT-4 Cost
$42.00
Claude Opus 4 is 29% cheaper
FeatureClaude Opus 4GPT-4
ProviderAnthropicOpenAI
Input Price (1M)$15.00$30.00
Output Price (1M)$75.00$60.00
Context Window200,0008,192

Verdict

Claude Opus 4 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 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 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

  • ✓ 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 cheaper than GPT-4?

Claude Opus 4 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 vs GPT-4?

Claude Opus 4 has a 200,000-token context window. GPT-4 has a 8,192-token context window. Claude Opus 4 supports the larger context, suitable for longer documents and agentic workflows.

Which model is better: Claude Opus 4 or GPT-4?

The best choice depends on your use case. For cost efficiency on input tokens, Claude Opus 4 is the cheaper option. For maximum context length, Claude Opus 4 supports 200,000 tokens. Use the comparison table above to find the right fit for your workload.