Turn this customer email into JSON with intent, urgency and order_id.
customer-email.txtR1 0528
by DeepSeekReleased 28 May 2025
DeepSeek R1 0528 is the May 2025 update of R1, a thinking model that shows its reasoning before the answer. It scores higher on maths and science tests, invents fewer facts, and adds the ability to fill in an exact form and to use connected tools. It reads about 160 pages of text and replies up to about 32 pages, so use it for hard maths, logic and code debugging.
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 | 166,42 DA | 715,60 DA |
| Cached tokens read | 116,49 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
Three companies run this model. OpenDunes sends each request to one of them, picked by price and speed. If it fails, the next one takes it. DA per 1M tokens: ↑ what you send · ↓ what comes back.
You pay the price of the provider that served your request. Prices read 15:19 · 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="deepseek/deepseek-r1-0528",
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_kmin_pstopseedfrequency_penaltypresence_penaltyrepetition_penaltylogit_biaslogprobstop_logprobsReasoning
Let it think before answering — and see the thinking.
reasoninginclude_reasoningStructured output
Get JSON you can parse instead of prose.
response_formatstructured_outputsTools
Let the model call your functions.
toolstool_choiceQuestions about R1 0528
How much does R1 0528 cost in dinars?
About 0,52 DA per message. ↑ 166,42 DA · ↓ 715,60 DA per 1M tokens.
Is R1 0528 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 R1 0528 best for?
DeepSeek R1 0528 is the May 2025 update of R1, a thinking model that shows its reasoning before the answer. It scores higher on maths and science tests, invents fewer facts, and adds the ability to fill in an exact form and to use connected tools. It reads about 160 pages of text and replies up to about 32 pages, so use it for hard maths, logic and code debugging.
How do I pay for R1 0528 without an international card?
Deposit dinars with your Edahabia or CIB card. Every model, R1 0528 included, is paid from that balance. No foreign card, no conversion.
Does R1 0528 work in Arabic, French or Darja?
DeepSeek names no languages for R1 0528. Arabic, French and Darja: not stated.
Can it read PDFs, images or a whole book?
It reads text. Up to 164K tokens in one request, about 160 pages. It writes up to 25 000 words at once.
Is R1 0528 open source?
Yes, its weights are public. Open weights on Hugging Face
Who makes R1 0528, and when was it released?
DeepSeek. Released 28 May 2025. It knows the world up to 31 March 2025.
Other DeepSeek models, priced in dinars
See all DeepSeek models#10 for 3D scenes · This is the 17 October 2026 snapshot of V4.1 Flash, the image-and-text model DeepSeek serves under its current Flash name. It keeps about a thousand pages in mind, replies up to about 393 pages, thinks first, uses your connected tools and fills in the exact form you give it. Pick it for agents and coding work that include screenshots, and when you want the newest Flash. The earlier DeepSeek V4.1 Flash is the snapshot before this one; V4 Pro 0813 is the larger model for hard reasoning.
DeepSeek V4.1 Flash is the first DeepSeek model built on a new design, and it reads images as well as text, keeping about a thousand pages in mind. It thinks before answering, uses your connected tools and fills in the exact form you give it. Use it as the fast, everyday model for coding agents that also need to look at screenshots or diagrams.
DeepSeek's generally available V4 Flash, re-post-trained for coding, reasoning and agent work on the same 284B mixture-of-experts with 13B active, with tools, structured output and switchable reasoning
DeepSeek V4 Flash is the first V4 release of the Flash size, built for fast answers over very long text. It reads about a thousand pages at once, thinks before answering when asked, uses your connected tools and fills in the exact form or table you give it. Pick it to run an agent or summarise a whole codebase quickly. DeepSeek V4 Flash 0731 is the retrained revision for coding and agents; V4 Pro is the larger model.
