OpenAI
OpenAI GPT-5 variant for well-defined, cost-sensitive tasks. Its deprecated API snapshot retires December 11, 2026.
At a glance
API model ID: gpt-5-mini
Capabilities & boundaries
Tool support requires the appropriate API integration; a supported tool is not automatically active in every chat.
The GPT-5 family documentation establishes minimal, low, medium, and high, with medium as default. For a well-defined task, compare a lower effort against your accuracy target; do not assume the Mini name means reasoning is disabled.
Unsupported settings: none, 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
Apply a fixed schema without filling gaps with invented details.
Normalize each supplied product description into the fields name, category, material, dimensions, and stated limitations. Use only explicit source text, preserve units, and put null for missing values. Include a short evidence quote for each populated field. Flag contradictory measurements for review instead of choosing one. Return one record per product in the order provided.
Workflow 02
Keep repeated communication tied to an approved source.
Draft a concise support reply for each ticket using only the attached policy excerpts. Address the customer’s stated problem, cite the applicable policy internally in a separate note, and avoid promising refunds, timelines, or account changes that the policy does not authorize. If the evidence is insufficient, ask one focused clarification and mark the case for human review.
Workflow 03
Review a small artifact against a concrete list of delivered changes.
Compare this release-note draft with the merged-change summaries below. Identify unsupported claims, missing user-visible changes, and technical jargon that could confuse the intended audience. Suggest a concise rewrite using only verified changes. Keep breaking changes and required user actions explicit, and list anything that needs confirmation before publication.
Developer reference
These are OpenAI API reference prices, not EZ Ai Assist subscription prices.
View EZ Ai Assist plans| Token type | Price |
|---|---|
| Input | $0.25 |
| Cached input | $0.025 |
| Output | $2.00 |
Common questions
OpenAI describes it as a cost-efficient GPT-5 option for well-defined tasks and precise prompts. The examples here focus on normalization, policy-grounded replies, and bounded editing. Validate accuracy on your own cases instead of treating low cost as evidence of suitability.
The June 11, 2026 deprecation notice recommends GPT-5.6 Terra for gpt-5-mini-2025-08-07, scheduled to shut down December 11, 2026. Compare the replacement’s behavior, tools, and prices before switching an existing workflow.
No. This model’s documented cutoff is May 31, 2024, while GPT-5’s is September 30, 2024. Provide current evidence for time-sensitive tasks; a search tool is only available when the integration actually enables it.
It can accept images, but image generation is not listed in its supported Responses tools. Do not infer the capability from another GPT-5 family member. Its native output is text and its available app tools must be checked separately.
Minimal, low, medium, and high are documented for the original GPT-5 family, with medium as default. None, xhigh, and max are not listed for this model. Evaluate lower effort against a clear accuracy threshold for repeated tasks.
The documented maximum input is 272,000 tokens, within a 400,000-token total context and a 128,000-token maximum output. A large context is not a guarantee of perfect extraction; test missing values, contradictions, and boundary cases.
No. The listed per-token rates are direct OpenAI API reference prices. EZ Ai Assist plans, allowances, model availability, and controls are separate. Verify the app’s supported workflow before using any example at scale.
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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