Mercury Decide takes a situation written as text, with pictures if you like, plus questions of a fixed kind. For each question it gives back a yes or no, a pick from options, or a numeric score, with a probability worked out inside the model and no written answer. It handles up to 14 decisions a second, so you can run every case through it and send doubtful ones to a person. Kev 4B is the alternative you can download and run yourself, for situations that are text only.
Mercury 2.5 Preview
by InceptionReleased 31 August 2026
Mercury 2.5 is the fastest reasoning LLM, and the latest diffusion LLM (dLLM) from Inception. Instead of generating tokens sequentially, Mercury 2.5 produces and refines multiple tokens in parallel, achieving...
Reads about 260 pages · writes up to 65 pages
Parameters you can send
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_tokenstemperaturestopReasoning
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_choiceQuestions about Mercury 2.5 Preview
Is Mercury 2.5 Preview still on sale?
No. Inception has retired it. Other Inception models are on sale.
What is Mercury 2.5 Preview best for?
The lab has not said.
Does Mercury 2.5 Preview work in Arabic, French or Darja?
Inception names no languages for Mercury 2.5 Preview. Arabic, French and Darja: not stated.
Can it read PDFs, images or a whole book?
It reads text. Up to 260K tokens in one request, about 260 pages. It writes up to 49 000 words at once.
Is Mercury 2.5 Preview open source?
No. Inception has not published its weights.
Who makes Mercury 2.5 Preview, and when was it released?
Inception. Released 31 August 2026.
Other Inception models, priced in dinars
See all Inception modelsMercury 3 is a diffusion-based text model that thinks first and calls your tools, built for agentic workflows and real-time work where latency compounds, with a million-token window and JSON output
Mercury 2.5 writes by refining a whole stretch of text at once instead of word by word, reaching more than a page of text every second, and it thinks at a level you set. You send up to 260 pages of text, with tools or an exact form to fill in, and it can use several tools at the same time. Use it in coding helpers, search helpers and voice systems, where each model call adds delay.
Mercury 2 thinks before it answers and writes by refining a whole stretch of text at once instead of word by word, so it produces over a page of text every second. You send up to 128 pages of text, and it can use your tools or fill in an exact form you give it. Use it where waiting adds up: voice assistants, live search and coding helpers that call the model many times.