OpenAI
OpenAI reasoning model for technical and visual analysis. Its deprecated API snapshot retires December 11, 2026.
At a glance
API model ID: o3
Capabilities & boundaries
Tool support requires the appropriate API integration; a supported tool is not automatically active in every chat.
OpenAI’s reasoning guidance lists low, medium, and high for o3. No default is asserted here. Compare the settings on your own technical examples; higher effort can spend more tokens and time without guaranteeing a better answer.
Unsupported settings: none, minimal, xhigh, 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
Build a testable explanation from code and timestamped observations.
Use these code excerpts and timestamped logs to analyze the intermittent concurrency failure. Identify the shared state, possible interleavings, and evidence that supports or contradicts each hypothesis. Cite the relevant code and log entries. Propose one minimal reproduction and the assertions needed to distinguish the leading explanations. Do not claim you ran the code.
Workflow 02
Evaluate the supplied reasoning without importing unsupported results.
Review this technical argument using only the definitions, observations, and equations provided. Identify where each conclusion follows, which assumptions are unstated, and whether a counterexample is possible within the stated constraints. Explain any unit or boundary-condition problems. Finish with the smallest additional experiment or calculation that would reduce the main uncertainty.
Workflow 03
Use image input as evidence, with explicit limits on what is visible.
Compare this system diagram with the accompanying written specification. List components, connections, and boundaries visible in the diagram, then identify inconsistencies with the text. Cite the image region and specification section for each issue. Mark ambiguous symbols as uncertain and ask clarifying questions instead of inferring hidden connections.
Developer reference
These are OpenAI API reference prices, not EZ Ai Assist subscription prices.
View EZ Ai Assist plans| Token type | Price |
|---|---|
| Input | $2.00 |
| Cached input | $0.50 |
| Output | $8.00 |
Common questions
OpenAI announced the deprecation of o3-2025-04-16 on June 11, 2026, with API shutdown scheduled for December 11, 2026. The notice recommends GPT-5.6 Sol. This is a specific API snapshot lifecycle, not a claim that the EZ Ai Assist page or app access has already disappeared.
Keep a small set of representative prompts, expected results, failure cases, and latency targets. Run them against the replacement and inspect differences in answers, tool behavior, and total usage. Update integrations before the retirement date rather than treating a new model name as a drop-in guarantee.
The documented choices are low, medium, and high. This guide does not assert an unverified default or add newer models’ none, xhigh, or max settings. Set the effort explicitly when comparing API results.
Yes, image input is supported. Ask it to distinguish visible evidence from assumptions and supply underlying data for numerical work. Native output is text; image generation is a separate tool and audio/video are not native modalities.
The API supports structured outputs and function calling, plus the listed Responses tools. A schema constrains format, not factual accuracy. Validate identifiers, calculations, and permissions before acting on a result.
OpenAI has different processing tiers. This guide shows Standard prices of $2 input, $0.50 eligible cached input, and $8 output per million tokens. Do not mix Flex or Batch rates into a Standard estimate; tool fees can also matter.
No. These are original workflow suggestions, not benchmarks or promises about app controls. Check current EZ Ai Assist model access and supported inputs, share only authorized material, and verify the result before using it.
Check the source
Specifications and API prices checked on . Example prompts and workflow advice are editorial guidance from EZ Ai Assist.
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