by OpenAI·Released 16 April 2025
o4-mini-high is o4-mini with its thinking effort fixed at high. It reads text, pictures and files and writes back, keeping about 200 pages in mind at once. It is for math, science, visual problem solving and code edits where you want the compact model to think longer on every request, with connected tools and fixed-format answers available.
Reads about 200 pages · writes up to 100 pages
Standard OpenAI fields, grouped by what they control. Anything not listed is accepted and ignored.
Shaping the reply
How long, how varied, where to stop.
max_tokensseedReasoning
Let it think before answering — and see the thinking.
reasoningreasoning_effortinclude_reasoningStructured output
Get JSON you can parse instead of prose.
response_formatstructured_outputsTools
Let the model call your functions.
toolstool_choiceNo. OpenAI has retired it. Other OpenAI models are on sale.
o4-mini-high is o4-mini with its thinking effort fixed at high. It reads text, pictures and files and writes back, keeping about 200 pages in mind at once. It is for math, science, visual problem solving and code edits where you want the compact model to think longer on every request, with connected tools and fixed-format answers available.
OpenAI names no languages for o4 Mini High (batch). Arabic, French and Darja: not stated.
It reads text, images and PDFs. Up to 200K tokens in one request, about 200 pages. It writes up to 75 000 words at once.
No. OpenAI has not published its weights.
OpenAI. Released 16 April 2025. It knows the world up to 30 June 2024.
Text Embedding 3 Small turns text of up to about 8 pages into a fingerprint of its meaning, so search finds passages that mean the same thing even when the words differ. It replaces the older ada-002 and is the sensible default for search over your documents, grouping similar messages or labelling them.
GPT Image 2.5 Sunburst takes a written description, with optional reference pictures, and gives back an image, new or edited, as PNG, JPEG or WebP, with transparent backgrounds on PNG and WebP. It is the precision tier of the 2.5 series, for detailed creative work where an edit has to land exactly as asked, and it adds top quality settings named xhigh and max.
GPT-6 Luna Decisions does not write text. You send content as text, a table of data or a picture, plus up to 200 named questions of three kinds: yes or no, pick among options, or grade against an ordered scale. It returns a probability for every answer, with the likeliest option or expected score, so your own system can set its thresholds for routing, moderation or marking.
Text Embedding 3 Large turns text of up to about 8 pages into a fingerprint of its meaning, so search finds passages that mean the same thing even when the words differ. It is the most accurate of OpenAI's models of this kind, in English and other languages. Choose it when the quality of matches matters most, for search, grouping or labelling documents.
From what its maker and two benchmark sites publish, and where it stands on OpenDunes. Read 7 Nov 2026.
Thinks first
Works through the problem before it answers.
Uses your tools
Can call functions your code provides.
Fills your JSON
Answers in the JSON shape you give it.
Searches the web
Can look things up online while it answers.
Cheaper on repeats
A prompt it saw a moment ago costs less the second time.
Knows events up to 30 Jun 2024
What it learned stops at this date.