Qwen: Qwen3.5-Flash✓ Catalog verified
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 3 series, these models deliver a leap forward in performance for both pure text and multimodal tasks, offering fast response times while balancing inference speed and overall performance.
Overview
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 3 series, these models deliver a leap forward in performance for both pure text and multimodal tasks, offering fast response times while balancing inference speed and overall performance.
Access: available through the official Qwen API. Context window: 1M.
Specifications
| API identifier | qwen/qwen3.5-flash-02-23 |
| Provider | Qwen |
| Model type | Multimodal LLM |
| Context window | 1M catalog |
| Input modalities | text · image · video |
| Output modalities | text |
| Released | Feb 25, 2026 |
| Tokenizer | Qwen3 |
| Moderated | No |
| Architecture modality | text+image+video->text |
API defaults
{
"top_p": null,
"temperature": null,
"frequency_penalty": null
}Pricing
Live pricing components for qwen/qwen3.5-flash-02-23 as published in the catalog.
| Pricing component | Raw unit price | Normalized | Unit |
|---|---|---|---|
| Prompt tokens | $6.5e-8 | $0.07 / 1M | Per input token |
| Completion tokens | $2.6e-7 | $0.26 / 1M | Per output token |
| Request fee | N/A | N/A | Per request |
| Image fee | N/A | N/A | Per image unit |
| Web search fee | N/A | N/A | Per search request |
Cost calculator
Estimate monthly spend from your own token volumes.
Estimated Total Cost
$0.08Calculated from current list pricing in the ModelsAtlas catalog.Capabilities
| Capability | Status | What it means |
|---|---|---|
| Visual Understanding | ✓ Supported | Image and document analysis support |
| Audio Processing | Not advertised | Speech and voice aligned flows |
| Tool Calling | ✓ Supported | Supports tools / function calling |
| Self-Hosting | ✓ Supported | Deploy outside managed APIs |
Capability signals
Directional signals derived from model metadata and capability tags — not official benchmark submissions.
Quick start
Call Qwen: Qwen3.5-Flash through an OpenAI-compatible client.
from openai import OpenAI
client = OpenAI(
base_url="https://openrouter.ai/api/v1",
api_key="YOUR_API_KEY"
)
response = client.chat.completions.create(
model="qwen/qwen3.5-flash-02-23",
messages=[{"role": "user", "content": "Explain quantum physics."}]
)
print(response.choices[0].message.content)Alternatives
Closest models by context window from a different provider.
| Model | Provider | Context | Input /1M | Actions |
|---|---|---|---|---|
| Amazon: Nova 2 Lite | Amazon | 1M | $0.30 | View → |
| Amazon: Nova Premier 1.0 | Amazon | 1M | $2.50 | View → |
Sources & attribution
Pricing and metadata are maintained in the ModelsAtlas catalog.
Frequently asked questions
How much does Qwen: Qwen3.5-Flash cost?
$0.07 per 1M input tokens and $0.26 per 1M output tokens on the official Qwen API.
What is the context window of Qwen: Qwen3.5-Flash?
Qwen: Qwen3.5-Flash supports up to 1M tokens of context.
Does Qwen: Qwen3.5-Flash support tool / function calling?
Yes, Qwen: Qwen3.5-Flash supports tool / function calling — you can register tools and the model will emit structured tool calls.
How do I access Qwen: Qwen3.5-Flash?
Use the official Qwen API with the model id `qwen/qwen3.5-flash-02-23`. See the Quick start section above for code examples.