For a standard chatbot, GPT-5.4 saves about 8% — roughly $97/month at this volume. Not a huge difference. The choice here comes down to quality and ecosystem: Claude's conversational style vs GPT's tool use, or your existing Anthropic vs OpenAI infrastructure.

Use Case 2: Code Review & Refactoring

Typical request: ~3,000 input tokens (file + context), ~800 output tokens. At 1,000 requests/day:

Monthly cost breakdown
Claude Sonnet 5$630.00/mo
GPT-5.4$585.00/mo
Savings with GPT-5.4$45.00/mo (7%)

For code review, the cost gap is modest. But Sonnet 5's 1M context means you can feed it an entire repo for cross-file analysis — something GPT-5.4 can't do as easily at 400K. If your workflow involves understanding large codebases holistically, Sonnet 5's context advantage is worth more than the 7% price difference.

Use Case 3: Document Analysis (Long Context)

Typical request: ~50,000 input tokens (long document), ~2,000 output tokens. At 200 requests/day:

Monthly cost breakdown
Claude Sonnet 5$1,080.00/mo
GPT-5.4$930.00/mo
Savings with GPT-5.4$150.00/mo (14%)

Here's where it gets interesting. GPT-5.4 is 14% cheaper for document analysis — but Sonnet 5 can handle documents up to 1M tokens that GPT-5.4 physically can't process in a single request. For truly long documents (legal contracts, research papers, codebases), Sonnet 5 is the only option in this price tier.

Quality & Capabilities

Both models are strong all-rounders, but they have different strengths:

Migration Cost: Switching Between Them

If you're currently on one and considering the other, the API migration is straightforward:

Both support streaming, function calling, vision, and system prompts. The migration effort is minimal — usually under an hour for a typical integration.

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The Verdict

Input price GPT-5.4 wins ($2.50 vs $3.00)
Output price Tie ($15.00 each)
Context window Sonnet 5 wins (1M vs 400K)
Coding Sonnet 5 slight edge
Tool use GPT-5.4 slight edge
Best for high-volume GPT-5.4 (17% cheaper input)

Choose Claude Sonnet 5 if you need long context (1M tokens), work with large codebases, or value Anthropic's safety and instruction-following quality.

Choose GPT-5.4 if you're optimizing for cost at scale, need strong tool use/function calling, or are already in the OpenAI ecosystem.

For most production workloads, the cost difference is under 10% — so pick based on quality and context needs, not price.

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