Turn this customer email into JSON with intent, urgency and order_id.
customer-email.txtMercury 3
Newby InceptionReleased 16 October 2026
Mercury 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
What it costs
You pay for what each request uses. No subscription, no minimum.
50 % offInception has cut its price. Every figure here is the new one.
One message, the ordinary use
Every rate
| Meter | ↑ you send | ↓ comes back |
|---|---|---|
| Text tokens | 33,28 DA | 116,49 DA |
| Cached tokens read | 3,33 DA |
per 1M tokens
- When you pay
- After the answer, from your balance. Nothing is held.
- Why it varies
- A longer question or a longer answer costs more.
- After each one
- The exact charge shows on the request.
Where your request runs
One company runs this model. OpenDunes sends every request to it. DA per 1M tokens: ↑ what you send · ↓ what comes back.
You pay the price of the provider that served your request. Prices read 15:18 · speed over the last 30 minutes · uptime over 3 days.
See it in action
Real requests, real replies. Try any of them yourself — one click, pre-filled.
Two lines to welcome a shop in Oran.
Welcome to our new shop in Oran — fresh bread every morning, and coffee the way the city likes it. Come in, the first cup is on us.
Try in Chat LabTry your own request — same model, pre-selected.
Open Chat LabCall it in code
Swap the base URL and the key. Your OpenAI code runs unchanged.
import os
from openai import OpenAI
client = OpenAI(
base_url="https://opendunes.com/v1",
api_key=os.environ["OPENDUNES_API_KEY"],
)
resp = client.chat.completions.create(
model="inception/mercury-3",
messages=[{"role": "user", "content": "Two lines to welcome a shop in Oran."}],
)
print(resp.choices[0].message.content)Runs this request once on your balance.
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 3
How much does Mercury 3 cost in dinars?
About 0,092 DA per message.
Was 0,18 DA. ↑ 33,28 DA · ↓ 116,49 DA per 1M tokens.Is Mercury 3 free? Can I try it?
No. You pay per use from your balance, with no subscription. Try it in Chat at the same price.
What is Mercury 3 best for?
Mercury 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.
How do I pay for Mercury 3 without an international card?
Deposit dinars with your Edahabia or CIB card. Every model, Mercury 3 included, is paid from that balance. No foreign card, no conversion.
Does Mercury 3 work in Arabic, French or Darja?
Inception names no languages for Mercury 3. Arabic, French and Darja: not stated.
Can it read PDFs, images or a whole book?
It reads text. Up to 1M tokens in one request, about 1 000 pages. It writes up to 98 000 words at once.
Is Mercury 3 open source?
No. Inception has not published its weights.
Who makes Mercury 3, and when was it released?
Inception. Released 16 October 2026.
Other Inception models, priced in dinars
See all Inception modelsMercury 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 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.