GPT-4o vs Claude Sonnet 4
These are the two primary workhorses. GPT-4o for breadth and multimodal. Claude Sonnet for writing and long-context.
If you are picking one model for a new production system in 2025, the decision almost always comes down to one of these two. Here is the honest side-by-side.
| GPT-4o | Claude Sonnet 4 | |
|---|---|---|
| Pricing (input/output, $/1M) | $2.50 / $10. | $3 / $15. |
| Context window | 128K tokens. | 200K tokens. |
| Writing quality | Very good. | Slightly better on long-form, editorial tone. |
| Coding | Excellent for generation. Tight agent loops. | Excellent for review and editing. Great at whole-repo context. |
| Multimodal | Vision + native voice (Realtime API). | Vision only. |
| Tool / function use | Mature. Parallel function calls. | Mature. Very reliable schema adherence. |
| Instruction following | Strong. | Stronger on nuanced, complex instructions. |
| Latency | Fast. | Fast (slightly slower than 4o on short tasks). |
Pick GPT-4o when
Default to GPT-4o when: you need voice or image gen, you are cost-sensitive, or you are tightly integrated with the OpenAI ecosystem.
Pick Claude Sonnet 4 when
Default to Claude Sonnet when: writing quality matters, you have long documents to process, or you need the most reliable function-calling behavior.
Bottom line
In production systems we route between both by task. GPT-4o handles classification, short tasks, and voice; Claude Sonnet handles analysis, long-context, and structured output. You do not have to pick one.
Need help picking — or stitching them together?
We do this for clients every week. Bring us the workflow, we'll bring the architecture.
Talk to usGlossary
- GPT-4oOpenAI's flagship multimodal model — fast, cheap relative to predecessors, and supports vision and voice.
- Claude Sonnet (Anthropic)Anthropic's primary workhorse model — strong writing, long context, and reliable tool use.
- Model RoutingSending requests to different models based on complexity, cost, or content type.
- Structured OutputConstraining a model to respond in a specific format — JSON, XML, or a defined schema.