Claude API vs OpenAI API: What's the difference?
Both Claude (by Anthropic) and OpenAI's GPT models are large language models accessible via API — but they differ in performance, safety design, context window, and pricing.
What they both are
Both are APIs that let you send text (a prompt) and receive a generated response from a large language model. You pay per token (roughly per word). Both can be used for content generation, classification, summarization, data extraction, and agentic workflows.
Why we primarily use Claude at 2pizza.team
Claude's 200K context window lets us feed entire documents, contracts, or datasets into a single prompt — useful for document analysis and long-form content. Claude also tends to follow complex instructions more precisely, which matters for production systems. We've found Claude to have fewer 'hallucinations' on structured data extraction tasks.
Where GPT-4 is stronger
OpenAI has more third-party integrations, a larger ecosystem, and GPT-4o handles images natively across more use cases. For multimodal workflows (image + text) or when existing client systems are already built on OpenAI, we use GPT-4o.
Pricing comparison (as of 2025)
Claude 3.5 Sonnet: $3 per million input tokens, $15 per million output tokens. GPT-4o: $5 per million input tokens, $15 per million output tokens. For most business automation use cases, cost is similar — the choice should be based on capabilities for your specific task.
The practical answer
For most automation workflows — content generation, classification, data extraction — both work well. We default to Claude because we've built more production systems on it and trust its instruction-following for complex prompts. For clients already on OpenAI with existing systems, we use GPT-4o.
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