Imagine you are choosing an AI coding assistant and the headline numbers seem to tell a simple story. The public evidence is more careful: OpenAI reports GPT-5.5 results inside Codex and compares the model with Claude Opus 4.7 on several evaluations, while Anthropic presents Claude Opus 4.7 as a strong model for coding, long-running work, and agentic tasks. Public sources do not clearly confirm “Claude Code Optus 4.7” as a product name; the supported term is Claude Opus 4.7, and Claude Code is Anthropic’s coding assistant.
The comparison matters for developers, engineering managers, and technical buyers who use AI tools to write, review, debug, or operate software. OpenAI says GPT-5.5 is available in Codex for Plus, Pro, Business, Enterprise, Edu, and Go plans, with a 400K context window. Anthropic’s Claude documentation describes Claude as a family of models, while its Claude Opus 4.7 announcement focuses on model capability in coding, research-agent, multimodal, legal, and enterprise workflows. Claude Code users should also care because Anthropic says Claude Code uses effort levels to trade off more thinking against lower latency and fewer usage-limit hits.
The clearest public benchmark table comes from OpenAI’s GPT-5.5 launch page. In coding, OpenAI reports GPT-5.5 at 58.6 percent on SWE-Bench Pro Public, compared with Claude Opus 4.7 at 64.3 percent. On Terminal-Bench 2.0, OpenAI reports GPT-5.5 at 82.7 percent, compared with Claude Opus 4.7 at 69.4 percent. On professional and computer-use evaluations, OpenAI reports GPT-5.5 at 84.9 percent on GDPval, compared with Claude Opus 4.7 at 80.3 percent, and GPT-5.5 at 78.7 percent on OSWorld-Verified, compared with Claude Opus 4.7 at 78.0 percent.
In practice, these numbers mean there is no single verified winner across every public measure. A benchmark table is like a medical chart: useful for diagnosis, but not the whole person. OpenAI’s own figures show Claude Opus 4.7 ahead on SWE-Bench Pro Public, while GPT-5.5 leads on Terminal-Bench 2.0, GDPval, OSWorld-Verified, BrowseComp, and Tau2-bench Telecom where Claude Opus 4.7 is listed. Anthropic’s announcement also cites partner and customer evaluations, including reports of stronger coding performance over Opus 4.6, better long-context consistency, improved tool use, and gains in CursorBench, Notion Agent, Rakuten-SWE-Bench, and CodeRabbit workloads.
The next step is to treat the comparison as workflow-specific rather than brand-specific. A team focused on repository repair may weigh SWE-Bench-style results heavily; a team focused on terminal tasks, computer use, or broad knowledge work may weigh OpenAI’s reported GPT-5.5 results differently. Public sources do not clearly confirm a neutral, third-party, head-to-head benchmark of GPT-5.5 Codex versus Claude Code using the same prompts, settings, prices, and workloads. The practical action today is to run a small internal test on real tasks, recording success rate, review burden, latency, token usage, and cost before standardizing on either tool.