OpenAI releases GPT-5.5 with improved coding efficiency, fewer tokens needed

OpenAI released GPT-5.5 on April 23, 2026, one month after shipping GPT-5.4. The company claims the model "excels" at writing and debugging code, conducting research, and working across multiple tools while using "significantly fewer" tokens to complete tasks in Codex.

Pricing and availability

GPT-5.5 begins rolling out April 24 to ChatGPT Plus, Pro, Business, and Enterprise subscribers, as well as Codex users. A GPT-5.5 Pro version will be available to Pro, Business, and Enterprise tiers. Specific pricing details were not disclosed.

Claimed capabilities

According to OpenAI, GPT-5.5 can handle "messy, multi-part" tasks with less explicit instruction than previous models. The company claims users can provide complex requests and the model will "plan, use tools, check its work, navigate through ambiguity, and keep going" without constant human guidance.

OpenAI states GPT-5.5 includes its "strongest set of safeguards to date," though specific technical details about these safety features were not provided.

Token efficiency

The company highlighted reduced token consumption specifically for Codex, its code-focused platform. No specific benchmark comparisons or percentage reductions were disclosed.

Industry context

The release intensifies competition between OpenAI and Anthropic ahead of potential IPOs later in 2026. Anthropic recently shipped Claude Opus 4.7 and announced Mythos Preview, a non-public model focused on cybersecurity. OpenAI responded with GPT-5.4-Cyber, trained to identify security vulnerabilities.

Both companies are competing for enterprise and AI coding markets. OpenAI has reportedly cut what it calls "side quests" to focus on higher-revenue products.

What this means

The one-month gap between GPT-5.4 and GPT-5.5 represents an unusually rapid release cycle, suggesting OpenAI is prioritizing speed to market over longer development windows. The emphasis on token efficiency directly addresses a major cost factor for enterprise customers running coding workloads. Without published benchmarks or third-party testing, the actual performance improvements remain unverified. The competitive pressure from Anthropic appears to be driving faster iteration, though whether these quick releases deliver meaningful technical advances or incremental improvements is unclear until independent testing occurs.