Qwen3.5-Flash
ActiveThe 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...
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...
History
Qwen3.5-Flash became available via the Alibaba API on 2026-02-25.
Training & availability
Alibaba has not released the underlying model weights — access is via their hosted API only.
Capabilities
-
Context window: 1.0M tokens.
-
Input modalities: text, image, video.
Recommended for: vision, long-context, cheap.
Pricing
- Input: $0.0650 per 1M tokens
- Output: $0.2600 per 1M tokens
Use the cost calculator above to estimate monthly spend for your workload.
Quick start
Minimal example using the OpenRouter API. Copy, paste, replace the key.
from openai import OpenAI
client = OpenAI(
base_url="https://openrouter.ai/api/v1",
api_key="sk-or-...",
)
resp = client.chat.completions.create(
model="alibaba/qwen3-5-flash-02-23",
messages=[{"role": "user", "content": "Explain quantum computing in one sentence."}],
)
print(resp.choices[0].message.content)Cost calculator
Estimate your monthly bill. Presets are typical workload sizes.
Integrations & tooling support
- Tool calling
- Not supported
- Structured outputs
- Not supported
Price vs quality
Priced low — good for high-volume tasks. Quality tier pending more benchmark coverage.
- Quality percentile
- —
- Effective price
- $0.211/1M
- Pricing breakdown
- $0.065/1M in
$0.26/1M out
Community ratings
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Comments
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