GPT-5.4 vs Claude Opus 4.6: a guide to choosing the right model

The guide provides a detailed comparison of two advanced AI models, Claude Opus 4.6 and GPT-5.4, across various benchmarks essential for developers, such as coding, reasoning, tool use, and real-world task completion. Claude Opus 4.6 excels in multi-file refactoring, long-context coherence, and agentic search, making it ideal for complex software engineering tasks. In contrast, GPT-5.4 offers advantages in native computer use, faster tool execution, and cost-effective token usage, making it suitable for rapid prototyping and desktop automation. Benchmarks like BrowseComp, Terminal-Bench 2.0, and SWE-Bench reveal that while Claude Opus 4.6 leads in some areas, GPT-5.4 often has the edge in tool orchestration and execution-heavy tasks due to its cheaper tokens and higher accuracy. Both models demonstrate strengths in professional knowledge work and reasoning tasks, but their performance varies depending on the evaluation criteria. Pricing is an essential consideration, with GPT-5.4 generally being more cost-effective unless dealing with long-context tasks, where Claude's pricing model is advantageous. The guide suggests using a combined approach, leveraging both models' strengths through platforms like Portkey, which allows seamless integration and task routing to optimize performance and cost.

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