StepFun: Step 3.5 Flash: AI model
Step 3.5 Flash is StepFun's most capable open-source foundation model. A Mixture-of-Experts reasoning model that activates just 11B of its 196B parameters, with a 262K-token context window. Reachable from inside Iran through Hormouz.
- Context window:
- 262,144 tokens
- Input:
- $0.1/1M tokens
- Output:
- $0.3/1M tokens
- Type:
- text
- Tools
- Streaming
- Long context
Thinking levels: Always thinks
Step 3.5 Flash is StepFun's most capable open-source foundation model. It is built on a sparse Mixture-of-Experts (MoE) architecture, activating only 11B of its 196B parameters per token.
It is a reasoning model that stays remarkably speed-efficient even at long contexts. Its 262K-token context window and tool-calling support make it a fit for multi-step reasoning tasks and agentic workflows. Hormouz exposes an OpenAI-compatible API. Point your base URL at Hormouz, drop in a Hormouz key, and existing OpenAI SDK code runs unchanged.
Pricing is usage-based: $0.1/M in · $0.3/M out. Hormouz provides stable access to the model from inside Iran, with no foreign credit card or circumvention tooling required.
Step 3.5 Flash is StepFun's most capable open-source foundation model. Built on a sparse Mixture of Experts (MoE) architecture, it selectively activates only 11B of its 196B parameters per token....
Quickstart
curl https://api.hormouz.net/v1/chat/completions \
-H "Authorization: Bearer ng-YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "stepfun/step-3.5-flash",
"messages": [{"role": "user", "content": "Hello!"}]
}'Specs
| Vendor | StepFun |
|---|---|
| Type | Text |
| Context window | 262,144 tokens |
| Pricing | $0.10/M in · $0.30/M out |
| API | Chat Completions |
| Capabilities | Streaming · Tools |
Benchmarks
Reasoning
Coding
Agentic
Source: Artificial Analysis
Code example
curl https://api.hormouz.net/v1/chat/completions \
-H "Authorization: Bearer ng-YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "stepfun/step-3.5-flash",
"messages": [{"role": "user", "content": "Hello!"}]
}'from openai import OpenAI
client = OpenAI(api_key="ng-YOUR_API_KEY", base_url="https://api.hormouz.net/v1")
response = client.chat.completions.create(
model="stepfun/step-3.5-flash",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({ apiKey: "ng-YOUR_API_KEY", baseURL: "https://api.hormouz.net/v1" });
const response = await client.chat.completions.create({
model: "stepfun/step-3.5-flash",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);Buy the StepFun: Step 3.5 Flash API, paid in rial
- Buy credit with an Iranian bank card; no foreign card or account needed.
- One Hormouz key reaches StepFun: Step 3.5 Flash and 600+ other models, and you pay only for what you use.
- No VPN and no risk of a banned account; just change the base URL to api.hormouz.net/v1.
Use via Hormouz
Connect to this model and 600+ others with one API key, then see usage down to each request.
Request company accessFAQ
- How much does Step 3.5 Flash cost?
- Billing is usage-based: $0.1/M in · $0.3/M out. There is no fixed monthly fee. You pay only for what you use.
- How do I use Step 3.5 Flash from inside Iran?
- Create a Hormouz account and generate an API key. Hormouz gives you a stable route to the model from inside Iran, with no foreign credit card or circumvention tooling needed.
- Is Step 3.5 Flash OpenAI-compatible?
- Yes. Hormouz serves an OpenAI-compatible API. Point your base URL at Hormouz and swap in a Hormouz key; your existing SDKs and code work without a rewrite.
- What is Step 3.5 Flash's architecture?
- It is a sparse Mixture-of-Experts model that activates 11B of its 196B parameters per token, delivering both quality and speed.
- What is Step 3.5 Flash good for?
- Multi-step reasoning tasks, coding and agentic workflows that need high speed even at long contexts.
- How large is Step 3.5 Flash's context window?
- The context window is up to 262K tokens, and the model supports tool calling.
Updated 2026-10-13