GPT-5.4 vs Claude Opus 4.6: head-to-head across 12 benchmarks: coding, tool use, reasoning, and more. See which model wins where, and when to use each.

Portkey's resource offers insights, tutorials, and resources for web developers and designers. Readers can learn about frontend development, user experience design, and web development tools. With articles, tutorials, and design showcases, Portkey provides  guidance and expertise for creating modern and responsive web applications.

portkey

A benchmark-driven comparison of GPT-5.4 and Claude Opus 4.6 across 12 evaluations covering coding, tool use, reasoning, visual understanding, and agentic tasks. GPT-5.4 leads on terminal coding (Terminal-Bench 2.0: 75.1% vs 65.4%), computer use (OSWorld: 75% vs 72.7%), visual reasoning (MMMU Pro: 81.2% vs 73.9%), multi-tool orchestration (MCP Atlas: 67.2% vs 59.5%), and novel problem-solving (ARC-AGI-2: 73.3% vs 68.8%). Claude Opus 4.6 edges ahead on agentic web search (BrowseComp: 84% vs 82.7%) and long-context workloads due to flat pricing. Both are essentially tied on hard reasoning benchmarks. GPT-5.4 is 40-50% cheaper at base rates but doubles in price past 272K tokens. The recommended strategy is routing tasks to whichever model performs best, using a gateway like Portkey to manage both.

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

GPT-5.4 vs Claude Opus 4.6: Model specifications

GPT-5.4 vs Claude Opus 4.6: Coding benchmarks

Terminal-Bench 2.0: agentic terminal coding

Humanity's Last Exam: multidisciplinary reasoning

GPT-5.4 vs Claude Opus 4.6: Pricing comparison

GPT 5.4 vs Claude Opus 4.6: How to choose?