Qwen: Qwen3.5-Flash: AI model
Qwen3.5-Flash is a Qwen multimodal vision-language model with a built-in thinking mode for deep reasoning, with a 1M-token context window. Reachable from inside Iran through Hormouz.
- Context window:
- 1,000,000 tokens
- Input:
- $0.07/1M tokens
- Output:
- $0.26/1M tokens
- Type:
- text, image, video
- Vision
- Tools
- Streaming
- Long context
Thinking levels:
Qwen3.5-Flash is a vision-language model from Alibaba's Qwen series, with a context window of up to 1M tokens; it is strong at understanding text, images and video, tool calling. It has a built-in thinking mode that produces explicit step-by-step reasoning before the final answer.
Through Hormouz the model is served behind 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: $0.065 per million input tokens and $0.26 per million output tokens.
Hormouz provides stable access to the model from inside Iran, with no foreign credit card or circumvention tooling required.
The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared to the...
Quickstart
curl https://api.hormouz.net/v1/chat/completions \
-H "Authorization: Bearer ng-YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "qwen/qwen3.5-flash-02-23",
"messages": [{"role": "user", "content": "Hello!"}]
}'Specs
| Vendor | Qwen |
|---|---|
| Type | Text, Image, Video |
| Context window | 1,000,000 tokens |
| Pricing | $0.07/M in · $0.26/M out |
| API | Chat Completions |
| Capabilities | Streaming · Vision · Tools |
Code example
curl https://api.hormouz.net/v1/chat/completions \
-H "Authorization: Bearer ng-YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "qwen/qwen3.5-flash-02-23",
"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="qwen/qwen3.5-flash-02-23",
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: "qwen/qwen3.5-flash-02-23",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);Buy the Qwen: Qwen3.5-Flash API, paid in rial
- Buy credit with an Iranian bank card; no foreign card or account needed.
- One Hormouz key reaches Qwen: Qwen3.5-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
- What is Qwen3.5-Flash and what is it good for?
- Qwen3.5-Flash is a Qwen vision-language model. It handles both text and visual inputs for tasks like document parsing, visual Q&A and OCR.
- What is the context window of Qwen3.5-Flash?
- The model supports up to 1M tokens of context, which suits long documents and multi-turn conversations.
- How much does Qwen3.5-Flash cost?
- Pricing is usage-based: $0.065 per million input tokens and $0.26 per million output tokens. There is no fixed monthly fee. You pay only for what you use.
- How do I access Qwen3.5-Flash from inside Iran?
- Create an account on Hormouz and generate an API key. Hormouz provides a stable path to the model from inside Iran, with no foreign credit card required.
- Is Qwen3.5-Flash compatible with OpenAI code?
- Yes. Hormouz exposes an OpenAI-compatible API. Just change the base URL to Hormouz and swap in your Hormouz key. Your existing SDKs and code run without a rewrite.
- Does Qwen3.5-Flash support a thinking / reasoning mode?
- Yes. It produces explicit step-by-step reasoning before its final answer, which helps on math, coding and multi-step logic tasks.
Updated 2026-10-13