by Inception·Released 30 September 2026
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.
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 case, the ordinary use
Every rate
| Meter | ↑ you send | ↓ comes back |
|---|---|---|
| Text tokens | 6,66 DA |
per 1M tokens
One company runs this model. OpenDunes sends every request to it. DA per 1M tokens: ↑ what you send.
| Provider | ↑ Sent | Latency | Uptime |
|---|---|---|---|
| Inception50 % off | … | … |
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.
One HTTP call, with your questions named as you like.
import os, requests
BASE = "https://opendunes.com"
KEY = os.environ["OPENDUNES_API_KEY"]
H = {"Authorization": f"Bearer {KEY}"}
resp = requests.post(f"{BASE}/alpha/decisions", headers=H, json={
"model": "inception/mercury-decide",
"state": "The courier came two days late and the box was open.",
"questions": {
"is_complaint": {
"type": "noul",
"instructions": "Is it a complaint?",
"criteria": {
"true": "The customer is unhappy with the service.",
"false": "The customer is asking a question or saying thanks.",
},
},
},
})
print(resp.json())Runs this request once on your balance.
About 0,0067 DA per case. Was 0,013 DA. ↑ 6,66 DA per 1M tokens.
No. You pay per use from your balance, with no subscription. Run it once from Call it in code, at the same price.
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.
Deposit dinars with your Edahabia or CIB card. Every model, Mercury Decide included, is paid from that balance. No foreign card, no conversion.
Inception names no languages for Mercury Decide. Arabic, French and Darja: not stated.
Yes or no, one choice from your list, or a score on your scale. Each answer comes with its probability.
Inception. Released 30 September 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
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.
From what its maker and two benchmark sites publish, and where it stands on OpenDunes. Read 7 Nov 2026.
Send only the low-probability decisions to a person and let the sure ones through
Check a photographed form against a yes/no question about one required field
Grade a submitted answer with a numeric score against one typed rubric question