Turn this customer email into JSON with intent, urgency and order_id.
customer-email.txtMorph V3 Fast
by MorphReleased 7 July 2025
Morph V3 Fast does not write code from scratch, it applies an edit. You send an instruction, the original code and a short update marked in a fixed three-tag format, and it merges the update into the file and hands back the result at about 10 pages of code a second. That suits a coding assistant that proposes partial edits and needs them applied quickly. Morph V3 Large works at about 4 pages a second and is built for complex edits.
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 | 266,27 DA | 399,40 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 15:18 · 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="morph/morph-v3-fast",
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_tokenstemperaturestoplogprobstop_logprobsStructured output
Get JSON you can parse instead of prose.
response_formatstructured_outputsQuestions about Morph V3 Fast
How much does Morph V3 Fast cost in dinars?
About 0,47 DA per message. ↑ 266,27 DA · ↓ 399,40 DA per 1M tokens.
Is Morph V3 Fast 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 Morph V3 Fast best for?
Morph V3 Fast does not write code from scratch, it applies an edit. You send an instruction, the original code and a short update marked in a fixed three-tag format, and it merges the update into the file and hands back the result at about 10 pages of code a second. That suits a coding assistant that proposes partial edits and needs them applied quickly. Morph V3 Large works at about 4 pages a second and is built for complex edits.
Morph V3 Fast or Morph V3 Large?
Morph V3 Large costs 0,15 DA more for the same message.
How do I pay for Morph V3 Fast without an international card?
Deposit dinars with your Edahabia or CIB card. Every model, Morph V3 Fast included, is paid from that balance. No foreign card, no conversion.
Does Morph V3 Fast work in Arabic, French or Darja?
Morph names no languages for Morph V3 Fast. 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 98 000 words at once.
Is Morph V3 Fast open source?
No. Morph has not published its weights.
Who makes Morph V3 Fast, and when was it released?
Morph. Released 7 July 2025.
Other Morph models, priced in dinars
See all Morph modelsThis model takes in text, reads about 65 pages at once, and gives back short typed answers that can run to 58 pages. Its best use is putting a fixed list of questions to one long case file and getting a pick, a named thing or a score back for each. Questions asked again about the same file reuse the stored reading, so a batch of questions on one file costs less after the first. It does not handle pictures, sound or video, and it does not write essays, so jobs needing those call for a different kind of model.
Morph V3 Large applies code edits rather than writing code. You send an instruction, the original code and an edit marked in a fixed three-tag format, and it hands back the merged file at about 4 pages of code a second. It is the one built for complex edits, where the merge has to land precisely.