Yesterday, OpenAI officially introduced its all-new ChatGPT-5.5 model that is said to excel at writing and debugging code, researching online, analysing data, creating documents and spreadsheets, operating software, and moving across tools until a task is finished.
ChatGPT-5.5
This model is suitable for agentic coding, computer use, knowledge work, and early scientific research. GPT-5.5 matches GPT-5.4 per-token latency in real-world serving, while performing at a much higher level of intelligence. It also requires significantly fewer tokens to complete the same Codex tasks, making it more efficient as well as more capable.
The company has released GPT-5.5 with its strongest set of safeguards to date, designed to reduce misuse while preserving access for beneficial work. GPT-5.5 is more efficient in how it works through problems, often reaching higher-quality outputs with fewer tokens and fewer retries.
On Artificial Analysis’s Coding Index, GPT 5.5 delivers state-of-the-art intelligence at half the cost of competitive frontier coding models. On Terminal Bench 2.0 (tests complex command-line workflows), it achieves a state-of-the-art accuracy of 82.7%. On SWE-Bench Pro (evaluates real-world GitHub issue resolution), it reaches 58.6%, solving more tasks end-to-end in a single pass than previous models. On Expert-SWE, GPT 5.5 also outperforms GPT-5.4.
The model’s coding strengths show up especially clearly in Codex, where it can take on engineering work ranging from implementation and refactors to debugging, testing, and validation. Senior engineers who tested the model said GPT 5.5 was noticeably stronger than GPT-5.4 and Claude Opus 4.7 at reasoning and autonomy, catching issues in advance and predicting testing and review needs without explicit prompting.
In Codex, GPT-5.5 is better than GPT-5.4 at generating documents, spreadsheets, and slide presentations.
In ChatGPT, GPT-5.5 Thinking unlocks faster help for harder problems, with smarter and more concise answers to help you move through complex work more efficiently. It excels at professional work like coding, research, information synthesis and analysis, and document-heavy tasks, especially when using plugins.
In GPT-5.5 Pro, early testers are seeing a significant step up in both difficulty and quality of work ChatGPT can take on, with latency improvements that make it much more practical for demanding tasks.
GPT-5.5 also shows gain on scientific and technical research workflows, which require more than answering a hard question. This model was co-designed for, trained with, and served on NVIDIA GB200 and GB300 NVL72 systems. GPT-5.5 is an incremental but important step towards AI that can solve some of the world’s toughest challenges, like cybersecurity. For this model, OpenAI designed tighter controls around higher-risk activity, sensitive cyber requests, and added protections for repeated misuse.
Availability and pricing
ChatGPT-5.5 is rolling out to Plus, Pro, Business, and Enterprise users in ChatGPT and Codex, and GPT-5.5 Pro is rolling out to Pro, Business and Enterprise users in ChatGPT. The company will bring GPT-5.5 and GPT-5.5 Pro to the API very soon. ChatGPT-5.5 Thinking is available to Plus, Pro, Business, and Enterprise users.
In Codex, GPT-5.5 is available for Plus, Pro, Business, Enterprise, Edu, and Go plans with a 400K context window. GPT-5.5 is also available in Fast mode, generating tokens 1.5x faster for 2.5x the cost.
For API developers, gpt-5.5 will soon be available in the Responses and Chat Completions APIs at $5 per 1M input tokens and $30 per 1M output tokens, with a 1M context window. Batch and Flex pricing are available at half the standard API rate, while Priority processing is available at 2.5x the standard rate. We will also release gpt-5.5-pro in the API for even higher accuracy, priced at $30 per 1M input tokens and $180 per 1M output tokens.
