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GPT-5.5 shows 86% hallucination rate vs Claude Opus 4.7's 36% in Terminal-Bench (2026). Here's when higher hallucination is acceptable and when it's a dealbreaker for your workflow.

Composer 2 is a next-generation AI coding model developed by Cursor, designed specifically for software engineering tasks. It delivers frontier-level coding performance at up to 10× lower cost than competitors like Claude Opus 4.6 and significantly cheaper than GPT-5.4, thanks to a code-only training approach, reinforcement learning optimization, and efficient model architecture.

OpenClaw’s recent release adds first-class, forward-compatible support for OpenAI’s GPT-5.4 and introduces a “memory hot-swappable” architecture that lets OpenClaw agents change which model and which memory store are active at runtime with minimal disruption. This unlocks large-context workflows (GPT-5.4’s expanded context windows), on-the-fly model specialization, and cost/latency optimizations for production agents. The upgrade is available in OpenClaw’s releases and accompanying docs; the examples below show practical configuration, code snippets, benchmark context, and recommended best practices.

GPT-5.4 is OpenAI’s new frontier model tuned for complex professional work: large context (≈1.05M tokens), built-in computer-use + improved tooling (deferred tool loading / tool_search), new reasoning controls, and a high-compute “Pro” variant for tougher problems. This guide explains what GPT-5.4 is, key improvements, how to call it from the Responses API (examples in Python and JavaScript), parameter controls (reasoning.effort, text.verbosity, tooling flags), how to safely use tools (including the “computer use” tool)
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GPT-5.4, arrives as a targeted “professional work” model family with two primary variants — GPT-5.4 Thinking and GPT-5.4 Pro — and a heavy emphasis on long-context document work, native computer-use (agent) capabilities, and improved factuality and task performance across office, legal and finance workflows. The release follows earlier updates in the GPT-5 line (notably GPT-5.3 Instant and GPT-5.3-Codex) and brings measurable improvements on internal and public benchmarks, deeper tool integration (including a ChatGPT for Excel plug-in), and a larger supported context ( cites up to 1 million tokens).