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 Labby Moonshot AI·Released 11 July 2025
Kimi K2 reads text and writes text back, and it keeps about 128 pages of conversation in mind at once. It is tuned for using the tools and apps you connect to it, writing and fixing code, and working through problems that need careful thinking, so give it a task with several steps or a coding job rather than small talk. Kimi K2 0905 doubles the memory and writes better website code, and Kimi K2 Thinking suits long research runs with many tool uses.
You pay for what each request uses. No subscription, no minimum.
One message, the ordinary use
Every rate
| Meter | ↑ you send | ↓ comes back |
|---|---|---|
| Text tokens | 189,72 DA | 765,52 DA |
per 1M tokens
One company runs this model. OpenDunes sends every request to it. DA per 1M tokens: ↑ what you send · ↓ what comes back.
| Provider | ↑ Sent | ↓ Back | Latency | Throughput | Uptime |
|---|---|---|---|---|---|
| 189,72 DA | 765,52 DA | … | … | … |
You pay the price of the provider that served your request. Prices read 15:19 · speed over the last 30 minutes · uptime over 3 days.
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 LabSwap 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="moonshotai/kimi-k2",
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.
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_tokenstemperaturetop_ptop_kstopseedfrequency_penaltypresence_penaltyrepetition_penaltyTools
Let the model call your functions.
toolstool_choiceAbout 0,57 DA per message. ↑ 189,72 DA · ↓ 765,52 DA per 1M tokens.
No. You pay per use from your balance, with no subscription. Try it in Chat at the same price.
Kimi K2 reads text and writes text back, and it keeps about 128 pages of conversation in mind at once. It is tuned for using the tools and apps you connect to it, writing and fixing code, and working through problems that need careful thinking, so give it a task with several steps or a coding job rather than small talk. Kimi K2 0905 doubles the memory and writes better website code, and Kimi K2 Thinking suits long research runs with many tool uses.
Kimi K2 Thinking costs 0,050 DA more for the same message.
Deposit dinars with your Edahabia or CIB card. Every model, Kimi K2 0711 included, is paid from that balance. No foreign card, no conversion.
Moonshot AI names no languages for Kimi K2 0711. Arabic, French and Darja: not stated.
It reads text. Up to 131K tokens in one request, about 130 pages. It writes up to 74 000 words at once.
Yes, its weights are public. Open weights on Hugging Face
Moonshot AI. Released 11 July 2025. It knows the world up to 31 December 2024.
#1 for interface design · This model accepts text, pictures, and video, allowing it to read up to 1000 pages of information at once. It is designed to handle complex, long-running coding and reasoning tasks. A key feature is its ability to process visual and auditory data alongside written text. However, it is limited to generating text responses and cannot search the internet.
#3 for websites · Kimi K3 reads text, pictures and video and writes text back, taking in about a thousand pages at once. You can download it and run it yourself, and it thinks before it answers. It is built for work inside large code projects: it uses connected tools, finds bugs, and revises its code from screenshots, log files, test results and what happens when the program runs.
#2 for slide decks · Kimi K2.6 reads text and pictures and writes text back, keeping about 256 pages in mind, and it thinks before it answers unless you switch that off for quicker replies. It is aimed at long coding runs across Go, Rust and Python projects and at turning a written description or a mock-up into a working screen, and it can split a job across hundreds of helper copies of itself working side by side.
The coding-focused Kimi K2, which always thinks and keeps its full reasoning from turn to turn, reading text and images over 256K for end-to-end programming and breaking agent tasks into steps
From what its maker and two benchmark sites publish, and where it stands on OpenDunes. Read 7 Nov 2026.
Thinks first No.
Works through the problem before it answers.
Uses your tools
Can call functions your code provides.
Fills your JSON No.
Answers in the JSON shape you give it.
Searches the web No.
Can look things up online while it answers.
Cheaper on repeats No.
A prompt it saw a moment ago costs less the second time.
Open weights
The model's weights are public.
Knows events up to 31 Dec 2024
What it learned stops at this date.
Run an agent that calls your tools to finish a task
Uses your tools
Write a script from a short spec
Fix a bug from a stack trace