Qwen
Qwen3.5-Flash
Released 2026-02-25
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...
You send / 1M
$0.065
tokens in
It replies / 1M
$0.260
tokens out
Memory
1M
tokens it can read at once
Typical request
$0.0002
1,000 words in, 400 out
Data privacy
No training or retention: Unknown. Check the provider's terms before sending sensitive data.
Based on OpenRouter and Vercel AI Gateway data. Confirm terms with the provider before sending sensitive data.
What it can do
- Reads: text, image, video
- Writes: text
- Reasoning: Yes
- Tool calling: Yes
- Longest reply: 66K tokens
Similar models
- Gemma 4 26B A4B Google · $0.076 in / $0.255 out per 1M
- Nex-N2.5-ProNex Agi · $0.075 in / $0.250 out per 1M
- Qwen3.5-9BQwen · $0.170 in / $0.250 out per 1M
- MiMo-V2.6-FlashXiaomi · $0.140 in / $0.280 out per 1M
- Seed 1.6 FlashBytedance Seed · $0.075 in / $0.300 out per 1M
- Muse Spark 1.3 ContributorMeta · $0.100 in / $0.200 out per 1M