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GPT-5.4 vs Claude Opus 4.6

Detailed pricing comparison and cost analysis.

Updated September 2026

Cost Simulator

GPT-5.4 Cost
$5.50
Claude Opus 4.6 Cost
$10.00
GPT-5.4 is 45% cheaper
FeatureGPT-5.4Claude Opus 4.6
ProviderOpenAIAnthropic
Input Price (1M)$2.50$5.00
Output Price (1M)$15.00$25.00
Context Window1,050,0001,000,000

Verdict

GPT-5.4 costs $2.50 per 1M input tokens and $15.00 per 1M output tokens. Claude Opus 4.6 costs $5.00 per 1M input tokens and $25.00 per 1M output tokens. GPT-5.4 is 50% cheaper on input tokens than Claude Opus 4.6. For output tokens, GPT-5.4 is the more affordable option at $15.00/1M vs $25.00.

On context window, GPT-5.4 supports 1,050,000 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-5.4

  • ✓ You need the lowest input token cost ($ 2.50/1M)
  • ✓ Your workload is output-heavy — GPT-5.4 generates text cheaper
  • ✓ You need a larger context window (1,050,000 tokens)
  • ✓ You are already integrated with OpenAI

When to choose Claude Opus 4.6

  • ✓ 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-5.4 cheaper than Claude Opus 4.6?

GPT-5.4 is cheaper on input tokens at $2.50/1M vs $5.00/1M for Claude Opus 4.6 — a 50% saving.

What is the context window of GPT-5.4 vs Claude Opus 4.6?

GPT-5.4 has a 1,050,000-token context window. Claude Opus 4.6 has a 1,000,000-token context window. GPT-5.4 supports the larger context, suitable for longer documents and agentic workflows.

Which model is better: GPT-5.4 or Claude Opus 4.6?

The best choice depends on your use case. For cost efficiency on input tokens, GPT-5.4 is the cheaper option. For maximum context length, GPT-5.4 supports 1,050,000 tokens. Use the comparison table above to find the right fit for your workload.