OpenAI’s GPT-5.5 sharpens coding but trails Anthropic’s Opus 4.7

OpenAI’s latest model upgrade improves coding, tool use, reasoning and token efficiency as the company pushes deeper into enterprise adoption. Early evaluations suggest stronger security performance, but Anthropic’s Opus 4.7 still leads in some important coding areas.

OpenAI released its fourth model upgrade of 2026, as it seeks to compete against Anthropic and Google in the generative Artificial Intelligence race and make headway in the sought-after enterprise market. The vendor introduced GPT-5.5 on April 23, a model update it said excels at coding, introduces fewer security problems and supports agentic autonomy and reasoning. The model understands what a user is trying to do more quickly and is proficient in writing and debugging code, conducting online research, analyzing data and creating documents.

GPT-5.5 is also token-efficient, using fewer tokens to perform the same task as GPT-5.4. The upgraded model is now available to Plus, Pro, Business and Enterprise users in ChatGPT and Codex. GPT-5.5 Pro and GPT-5.5 Thinking versions are available to Pro, Business and Enterprise users in ChatGPT. Analysts said the release reflects a wider industry focus on reasoning and coding, with Anthropic and Google also prioritizing advanced software engineering capabilities in their latest models. Gartner analyst Arun Chandrasekaran said software engineering is the fastest growing domain for generative Artificial Intelligence and that OpenAI is trying to strengthen its position in that market.

Testing by Sonar suggested GPT-5.5 reduces the number of bugs or vulnerabilities per line of code and can produce code faster than an unaided team. Joe Tyler, an Artificial Intelligence researcher at Sonar, said the model’s main advantage is that it is less security averse than previous generations and performs well on average in limiting defects. Even so, he said Anthropic’s Opus 4.5 and 4.6 generate simpler code and provide more useful developer comments. GPT-5.5 also appears to lag Anthropic’s models on concurrency bugs, a category of software errors that emerge when programs run multiple tasks simultaneously, and Tyler said enterprises should keep verification processes in place when using the model for code generation.

Enterprise users adopting GPT-5.5 through an API were urged to evaluate prompt libraries, APIs and model compatibility carefully, especially as OpenAI continues to release updates at a rapid pace. Futurum Group analyst Bradley Shimmin said the model should still be well suited to enterprise coding work, pointing to its integrated reasoning and token efficiency as practical advantages for long-running, autonomous tasks. Those improvements position GPT-5.5 as a stronger enterprise tool, even as Anthropic continues to dominate some of the most demanding coding benchmarks.

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