What's the total on this invoice, and when is it due?
invoice-scan.jpg · photoThe total is 42 300,00 DA, due 5 September 2026. Worth a double-check: the handwritten day could read as 8 instead of 3.
Try in Chat Labby Particle Ai·Released 28 October 2026
Particle-1 reads text and pictures and writes text back, taking in about 1000 pages at once and writing up to 130 pages in one go. It is built for software work: sitting down with a codebase, making changes across many files, and running tasks in the terminal. It can think through a problem before answering and work with your own tools, and it keeps its answers short on the meter, so long coding sessions cost less than with wordier models. It cannot search the web, so jobs that need fresh pages pulled from the internet need a different kind of model.
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 | 16,64 DA | 166,42 DA |
| Cached tokens read | 1,00 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 | Cache read | Latency | Throughput | Uptime |
|---|---|---|---|---|---|---|
| pParticle AIUnited States | 16,64 DA | 166,42 DA | 1,00 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.
What's the total on this invoice, and when is it due?
invoice-scan.jpg · photoThe total is 42 300,00 DA, due 5 September 2026. Worth a double-check: the handwritten day could read as 8 instead of 3.
Try in Chat LabTurn this customer email into JSON with intent, urgency and order_id.
customer-email.txtTry 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="particle-ai/particle-1",
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_kmin_pstopseedfrequency_penaltypresence_penaltyrepetition_penaltylogprobstop_logprobsReasoning
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_choiceAbout 0,10 DA per message. ↑ 16,64 DA · ↓ 166,42 DA per 1M tokens.
No. You pay per use from your balance, with no subscription. Try it in Chat at the same price.
Particle-1 reads text and pictures and writes text back, taking in about 1000 pages at once and writing up to 130 pages in one go. It is built for software work: sitting down with a codebase, making changes across many files, and running tasks in the terminal. It can think through a problem before answering and work with your own tools, and it keeps its answers short on the meter, so long coding sessions cost less than with wordier models. It cannot search the web, so jobs that need fresh pages pulled from the internet need a different kind of model.
Deposit dinars with your Edahabia or CIB card. Every model, Particle-1 included, is paid from that balance. No foreign card, no conversion.
Particle Ai names no languages for Particle-1. Arabic, French and Darja: not stated.
It reads text and images. Up to 1M tokens in one request, about 1 000 pages. It writes up to 98 000 words at once.
No. Particle Ai has not published its weights.
Particle Ai. Released 28 October 2026.
From what its maker and two benchmark sites publish, and where it stands on OpenDunes. Read 7 Nov 2026.
Thinks first
Works through the problem before it answers.
Uses your tools
Can call functions your code provides.
Fills your JSON
Answers in the JSON shape you give it.
Searches the web No.
Can look things up online while it answers.
Cheaper on repeats
A prompt it saw a moment ago costs less the second time.
Run terminal tasks step by step with your own tools
Uses your tools · Thinks first
Fill your own JSON format from text and pictures
Fills your JSON