Turn this customer email into JSON with intent, urgency and order_id.
customer-email.txtKimi K2 0905
by Moonshot AIReleased 4 September 2025
Kimi K2 0905 reads text and writes text back, taking in up to 256 pages at once, double the 128 of the original Kimi K2. This September update is more accurate at coding done step by step on its own, in different setups, and builds more polished, working websites and 3D pages. It can also fill in the exact form or table you give it.
What it costs
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 | 199,70 DA | 832,09 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 15:20 · 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="moonshotai/kimi-k2-0905",
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_tokenstemperaturetop_ptop_kstopseedfrequency_penaltypresence_penaltyrepetition_penaltyStructured output
Get JSON you can parse instead of prose.
response_formatstructured_outputsTools
Let the model call your functions.
toolstool_choiceQuestions about Kimi K2 0905
How much does Kimi K2 0905 cost in dinars?
About 0,62 DA per message. ↑ 199,70 DA · ↓ 832,09 DA per 1M tokens.
Is Kimi K2 0905 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 Kimi K2 0905 best for?
Kimi K2 0905 reads text and writes text back, taking in up to 256 pages at once, double the 128 of the original Kimi K2. This September update is more accurate at coding done step by step on its own, in different setups, and builds more polished, working websites and 3D pages. It can also fill in the exact form or table you give it.
Kimi K2 0905 or Kimi K2 Thinking?
Kimi K2 Thinking costs the same for the same message.
How do I pay for Kimi K2 0905 without an international card?
Deposit dinars with your Edahabia or CIB card. Every model, Kimi K2 0905 included, is paid from that balance. No foreign card, no conversion.
Does Kimi K2 0905 work in Arabic, French or Darja?
Moonshot AI names no languages for Kimi K2 0905. Arabic, French and Darja: not stated.
Can it read PDFs, images or a whole book?
It reads text. Up to 262K tokens in one request, about 260 pages. It writes up to 74 000 words at once.
Is Kimi K2 0905 open source?
Yes, its weights are public. Open weights on Hugging Face
Who makes Kimi K2 0905, and when was it released?
Moonshot AI. Released 4 September 2025. It knows the world up to 31 December 2024.
Other Moonshot AI models, priced in dinars
See all Moonshot AI models#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