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GPT-4.1 vs Claude Opus 4

Detailed pricing comparison and cost analysis.

Updated September 2026

Cost Simulator

GPT-4.1 Cost
$3.60
Claude Opus 4 Cost
$30.00
GPT-4.1 is 88% cheaper
FeatureGPT-4.1Claude Opus 4
ProviderOpenAIAnthropic
Input Price (1M)$2.00$15.00
Output Price (1M)$8.00$75.00
Context Window1,000,000200,000

Verdict

GPT-4.1 costs $2.00 per 1M input tokens and $8.00 per 1M output tokens. Claude Opus 4 costs $15.00 per 1M input tokens and $75.00 per 1M output tokens. GPT-4.1 is 87% cheaper on input tokens than Claude Opus 4. For output tokens, GPT-4.1 is the more affordable option at $8.00/1M vs $75.00.

On context window, GPT-4.1 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-4.1

  • ✓ You need the lowest input token cost ($ 2.00/1M)
  • ✓ Your workload is output-heavy — GPT-4.1 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-4.1 cheaper than Claude Opus 4?

GPT-4.1 is cheaper on input tokens at $2.00/1M vs $15.00/1M for Claude Opus 4 — a 87% saving.

What is the context window of GPT-4.1 vs Claude Opus 4?

GPT-4.1 has a 1,000,000-token context window. Claude Opus 4 has a 200,000-token context window. GPT-4.1 supports the larger context, suitable for longer documents and agentic workflows.

Which model is better: GPT-4.1 or Claude Opus 4?

The best choice depends on your use case. For cost efficiency on input tokens, GPT-4.1 is the cheaper option. For maximum context length, GPT-4.1 supports 1,000,000 tokens. Use the comparison table above to find the right fit for your workload.