GPT-4o vs Claude Sonnet Compared

GPT-4o and Claude Sonnet are remarkably close in general capability, which is why both have become the default models for most production applications. The differences are at the margins, but those margins matter depending on your use case. GPT-4o edges ahead in speed and multimodal breadth. It processes audio natively, can generate images via DALL-E, and its faster token output makes it the better choice for latency-sensitive chat interfaces. Its tighter integration with the OpenAI ecosystem—function calling, Assistants API, file search—makes it a natural fit if you are already building on OpenAI infrastructure. Claude Sonnet's advantages are its larger context window (200K vs 128K), stronger instruction-following on complex multi-step tasks, and a higher output token limit. If your application involves processing long documents, generating detailed reports, or following intricate system prompts, Sonnet tends to outperform. Its cautious safety profile is also a plus for applications in regulated industries where you want the model to err on the side of refusal rather than generating potentially problematic content. Pricing is close enough that it should not be the primary differentiator. GPT-4o is slightly cheaper per token, but Sonnet's larger output window and stronger instruction-following can reduce the need for retries and post-processing, offsetting the cost difference in practice.