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 Stepfun·Released 29 January 2026
Step 3.5 Flash reads and writes text, thinks before it answers, and keeps about 260 pages in mind at once while staying fast on long inputs. StepFun calls it its most capable open model, released under the Apache 2.0 licence so you can download it and run it yourself, and it supports connected tools for agent work.
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 | 33,28 DA | 99,85 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 |
|---|---|---|---|---|---|
| 33,28 DA | 99,85 DA | … | … | … |
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.
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="stepfun/step-3.5-flash",
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_kfrequency_penaltyReasoning
Let it think before answering — and see the thinking.
reasoninginclude_reasoningTools
Let the model call your functions.
toolstool_choiceAbout 0,083 DA per message. ↑ 33,28 DA · ↓ 99,85 DA per 1M tokens.
No. You pay per use from your balance, with no subscription. Try it in Chat at the same price.
Step 3.5 Flash reads and writes text, thinks before it answers, and keeps about 260 pages in mind at once while staying fast on long inputs. StepFun calls it its most capable open model, released under the Apache 2.0 licence so you can download it and run it yourself, and it supports connected tools for agent work.
Deposit dinars with your Edahabia or CIB card. Every model, Step 3.5 Flash included, is paid from that balance. No foreign card, no conversion.
Stepfun names no languages for Step 3.5 Flash. Arabic, French and Darja: not stated.
It reads text. Up to 262K tokens in one request, about 260 pages. It writes up to 49 000 words at once.
Yes, its weights are public. Open weights on Hugging Face
Stepfun. Released 29 January 2026.
Step 5 Preview reads text, pictures and video and writes text, keeping about 1,000 pages in mind at once. StepFun calls it its flagship for long tasks: it does well at building software and at expert office work, finance above all, across big codebases and document sets, where it uses tools and refines its result step by step.
Step 3.7 Flash reads text, pictures and video and writes text, keeping about 260 pages in mind at once. You pick a high, medium or low thinking level to trade speed and cost against depth. StepFun designs it for coding, long jobs that use connected tools, filling in the exact tables you specify, and long-document work.
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 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.
Reason through a long document and answer questions
Thinks first
Run an agent with your tools
Uses your tools
Solve a coding puzzle step by step
Thinks first