TL;DR: GPT-5.5 is OpenAI’s latest flagship model for coding and professional work. It is strongest when the task is messy, multi-step, and tool-heavy: code changes, debugging, research, documents, spreadsheets, and operating software across multiple steps. If you want the simplest answer, use GPT-5.5 when the work is hard enough that better reasoning and fewer retries will save you time. Use a smaller model when speed or cost matters more than depth.
OpenAI’s own model docs are unusually clear here: start with GPT-5.5 for complex reasoning and coding, and move down to smaller variants when latency or cost matter more. That is the real decision point. GPT-5.5 is not just a new label. It is the model OpenAI wants you to reach for when the job is large enough that a shallow answer is not enough.
For the broader product context, keep this page paired with our Best AI Models 2026 guide and our ChatGPT updates timeline. GPT-5.5 is part of a bigger shift: ChatGPT is moving from a chat product into a work product.
Quick answer
- Best for: coding, debugging, agentic workflows, research, documents, spreadsheets, and software use.
- Skip if: you mainly need cheap summaries, quick drafts, or low-latency tasks.
- Biggest strength: it carries more of the work itself and is better at multi-step tasks that need planning, tools, and verification.
- Biggest tradeoff: it costs more than GPT-5.4, so it only wins if the extra capability actually saves time or improves quality.
What is GPT-5.5
GPT-5.5 is OpenAI’s current flagship model for coding and professional work. OpenAI describes it as the model to use when you need complex reasoning, tool use, and sustained work across a task instead of a one-shot answer. In practice, that means the model is built for jobs where it has to keep context, check its own output, and move across tools until the task is finished.
That makes GPT-5.5 more useful than a standard “chat” model for work like fixing code, researching a problem, cleaning up a spreadsheet, drafting a document, or handling a software task that unfolds over multiple steps. It is the right model when the work is real enough that the model needs to behave like a collaborator, not a suggestion engine.
What changed from GPT-5.4
The cleanest way to read GPT-5.5 is as a capability upgrade, not a cosmetic one. It is smarter, more intuitive to use, and better at carrying work forward across tools and context. It is also more token efficient in Codex, which matters because the model is not only doing more work, it is often doing it with fewer retries.
- Stronger agentic coding: GPT-5.5 is its strongest agentic coding model to date.
- Better computer use: it is meant to move across software, not just answer questions about it.
- Better knowledge work: it is stronger for research, analysis, documents, and spreadsheets.
- More efficient behavior: it reaches better outcomes with fewer tokens and fewer retries in many real tasks.
If you are deciding whether to move from GPT-5.4 to GPT-5.5, that is the question to ask: does the better behavior in messy tasks justify the higher price?
What GPT-5.5 is best at
GPT-5.5 is strongest when the user has a task, not a prompt. That is the difference.
- Agentic coding: multi-step code changes, debugging, testing, and repo-aware work.
- Computer use: tasks where the model needs to move across software instead of staying in text.
- Research and synthesis: finding information, pulling it together, and turning it into something usable.
- Documents and spreadsheets: operational work, analysis, planning, and report generation.
- Longer-horizon tasks: jobs that need planning, verification, and follow-through.
That is why GPT-5.5 is more than a “better chatbot.” It is better when the answer has to become a result.
Where GPT-5.5 is available
OpenAI’s current rollout is straightforward:
- ChatGPT: GPT-5.5 is rolling out to Plus, Pro, Business, and Enterprise users.
- GPT-5.5 Pro: available to Pro, Business, and Enterprise users for harder questions and higher-accuracy work.
- Codex: GPT-5.5 is available across Plus, Pro, Business, Enterprise, Edu, and Go plans, with a 400K context window.
- API: GPT-5.5 is now available through the Responses and Chat Completions APIs.
In ChatGPT, GPT-5.5 Thinking is the mode aimed at harder problems. That is the version most people should think about if they want a practical work model rather than a casual assistant.
Pricing and limits
GPT-5.5 is not the cheapest OpenAI model, and that is the point. The model is priced for serious work.
- API input: $5.00 per 1M tokens
- API output: $30.00 per 1M tokens
- Cached input: $0.50 per 1M tokens
- Context window: 1M tokens in the API
- Max output: 128K tokens
- Tools: functions, web search, file search, and computer use
The useful comparison is GPT-5.4: the base model is cheaper at $2.50 input and $15 output. That means GPT-5.5 is only the better buy when the task is complex enough that quality, persistence, or tool use matters more than raw cost.
GPT-5.5 vs GPT-5.4 vs smaller models
This is the part most people actually need. If you are choosing a model, use the job to decide the model.
| Model | Best for | Tradeoff |
|---|---|---|
| GPT-5.5 | Complex reasoning, coding, agentic workflows, professional work | Higher cost than GPT-5.4 |
| GPT-5.5 Pro | Harder questions and higher-accuracy work | Overkill for routine tasks |
| GPT-5.4-mini / GPT-5.4-nano | Lower-latency, lower-cost workloads | Less capable on messy, multi-step tasks |
OpenAI’s model docs say the same thing in plain language: start with GPT-5.5 for complex reasoning and coding, and use smaller variants when speed and cost matter more.
GPT-5.5 vs Claude Opus 4.7
People will compare these two whether we do or not, so it is worth answering directly.
| Benchmark | GPT-5.5 | Claude Opus 4.7 | What it suggests |
|---|---|---|---|
| SWE-Bench Pro (Public) | 58.6% | 64.3% | Claude still leads on this coding benchmark. |
| Terminal-Bench 2.0 | 82.7% | 69.4% | GPT-5.5 is stronger in terminal-style workflows. |
| GDPval (wins or ties) | 84.9% | 80.3% | GPT-5.5 has the edge in knowledge-work style tasks. |
The practical takeaway is simple: GPT-5.5 is not a blanket winner, but it is a very serious model for coding-adjacent work and professional workflows. If you want the broader model picture, our Best AI Models 2026 guide is the right place to compare the market.
Who should use GPT-5.5
- Developers who want a stronger coding collaborator for debugging, refactors, and multi-step changes.
- Operators and analysts who need help with documents, spreadsheets, reports, and synthesis work.
- Teams using tool-heavy workflows where the model needs to work across files, browsers, and software.
- People doing serious research who want the model to plan, verify, and keep moving through ambiguity.
Who should skip GPT-5.5
- Users on simple tasks where a smaller model is fast enough.
- Cost-sensitive workflows where the model runs often and the job is not hard enough to justify premium pricing.
- People who only need basic drafting and do not care about tool use or long task persistence.
What to read from OpenAI directly
If you want the raw product pages, these are the ones worth bookmarking:
Final verdict
GPT-5.5 is the OpenAI model to look at when the work is serious enough that better reasoning, tool use, and task persistence matter. It is not the cheapest option, and it is not the right model for every job. But when the task is complex, GPT-5.5 is the one that makes the most sense.
If you are choosing between OpenAI models, the rule is simple: use GPT-5.5 for hard work, GPT-5.4 for cheaper work, and a smaller variant when speed and cost matter more than depth.
Frequently Asked Questions
What is GPT-5.5?
GPT-5.5 is OpenAI’s flagship model for coding and professional work. It is built for complex reasoning, tool use, computer use, and multi-step tasks that need planning and follow-through.
Is GPT-5.5 better than GPT-5.4?
Yes, if the job is complex enough to benefit from better reasoning, stronger tool use, and fewer retries. GPT-5.4 is still the better choice when cost or latency matters more.
How much does GPT-5.5 cost?
In the API, GPT-5.5 costs $5 per 1M input tokens and $30 per 1M output tokens, with cached input at $0.50 per 1M tokens.
Is GPT-5.5 available in ChatGPT?
Yes. OpenAI says GPT-5.5 is rolling out to Plus, Pro, Business, and Enterprise users in ChatGPT, and GPT-5.5 Pro is available on Pro, Business, and Enterprise plans.
Is GPT-5.5 available in the API?
Yes. OpenAI says GPT-5.5 is available in the API and supports the Responses and Chat Completions APIs.
What is GPT-5.5 Pro?
GPT-5.5 Pro is the higher-accuracy version of GPT-5.5 for harder questions and more demanding work. It is the better fit when you want stronger output and are willing to pay for it.
How large is the GPT-5.5 context window?
In the API, GPT-5.5 has a 1M context window and a 128K max output. In Codex, OpenAI says GPT-5.5 has a 400K context window.
Should I use GPT-5.5 or GPT-5.4-mini?
Use GPT-5.5 for complex reasoning, coding, and messy multi-step work. Use GPT-5.4-mini when you want a cheaper, faster model for more defined tasks.
Is GPT-5.5 good for coding?
Yes. Coding is one of the main reasons to use GPT-5.5. OpenAI positions it as its strongest agentic coding model to date.
Is GPT-5.5 good for agentic tasks?
Yes. GPT-5.5 is designed for tasks where the model has to plan, use tools, verify its own output, and keep working across steps until the task is done.
