OpenAI
OpenAI reasoning model for demanding analysis, with a 1,050,000-token context window and text/image input.
At a glance
API model ID: gpt-5.5-pro
Capabilities & boundaries
Tool support requires the appropriate API integration; a supported tool is not automatically active in every chat.
Evaluate high on a small set of difficult tasks first. Try medium when turnaround matters and xhigh only when an extra quality check justifies the latency and token use. Keep a human review step for consequential conclusions.
Unsupported settings: none, minimal, low, max.
Put it to work
Original examples from EZ Ai Assist. Adapt these to your task and the features available in your workspace.
Workflow 01
Supply the proposal, constraints, and evidence; ask for a review you can act on.
Audit this proposal against the goals and constraints I provide. Identify unsupported claims, conflicting requirements, and failure scenarios that could change the decision. For each finding, cite the source section, state its impact, and suggest the smallest useful validation. Separate evidence from assumptions. End with the three questions we must resolve before approval.
Workflow 02
Keep disagreements visible instead of forcing a confident summary.
Compare these reports about the same project. Build a table of material disagreements with the claim, each source location, the relevant date, and possible explanations supported by the text. Do not decide which report is correct without evidence. Identify what additional record or test would resolve each disagreement, then write a short provisional briefing with explicit uncertainty.
Workflow 03
Ask for alternatives and testable objections within a defined system boundary.
Review this architecture decision record and the attached system constraints. Evaluate the chosen design and two plausible alternatives against reliability, operating cost, reversibility, and implementation effort. Cite supplied facts and label assumptions. Identify the most consequential failure mode for each option. Recommend a bounded experiment and measurable acceptance criteria rather than proposing a wholesale rewrite.
Developer reference
These are OpenAI API reference prices, not EZ Ai Assist subscription prices.
View EZ Ai Assist plans| Token type | ≤ 272,000input tokens | > 272,000input tokens |
|---|---|---|
| Input | $30.00 | $60.00 |
| Output | $180.00 | $270.00 |
Common questions
Try both on tasks where an overlooked constraint would matter. Score the results against an answer key or independent reviewer, and compare total cost and waiting time. A more expensive model is not automatically better for a short, routine request.
The model reference lists streaming as unsupported. Plan the integration around a completed response, and use background mode for requests that may take minutes.
Yes, the API model reference lists structured outputs and function calling. The application still needs to configure the schema or tools and validate the returned values. A well-formed record can still contain incorrect facts.
No. OpenAI explicitly states that GPT-5.5 Pro has no cached-input discount. The table therefore shows input and output, without a fabricated cached-input price.
No. GPT-5.5 Pro is a model name; EZ Ai Assist Pro is a subscription plan. Direct OpenAI API prices and features do not establish your app plan’s included models, limits, or tools.
It accepts text and images and produces text natively. Image generation is available as an API tool, not a native image response. Native audio and video are not supported.
Provide relevant documents, a decision boundary, and a clear success criterion. Request evidence locations and unresolved questions, then verify the most consequential findings yourself. Share only material you are authorized to use.
Check the source
Specifications and API prices checked on . Example prompts and workflow advice are editorial guidance from EZ Ai Assist.
Same provider
OpenAI
GPT-6.1 Sol is OpenAI’s reasoning model for complex coding and professional work, with image input and a 1.05M-token context window.
OpenAI
GPT-6 Sol is an OpenAI model for complex coding and tool-assisted workflows, with image input and configurable reasoning.
OpenAI
GPT-6 Luna is an efficient OpenAI model for focused, high-volume tasks, with image input, structured outputs, and configurable reasoning.
OpenAI
GPT-6 Astra is an OpenAI model for complex reasoning, coding, and research, with image input and a 1.05M-token context window.