Qwen: Qwen3.5-Flash
Analysis Summary
Qwen: Qwen3.5-Flash sits in the Emerging tier on our leaderboard, ranked #300 of 544 published models on overall intelligence. At $0.065 input and $0.260 output per 1M tokens, it is among the most expensive on the market. It offers an exceptionally large context window suited to long-document workflows and supports tool use, function calling, vision, and reasoning.
Editorial notes
Qwen3.5-Flash supports vision and video with a 1M token context window at very low pricing, but has no benchmark data to assess reasoning or coding capability.
Assessed May 5, 2026
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
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..
Capabilities
How does Qwen: Qwen3.5-Flash stack up?
Compare side-by-side with other emerging models.
Model Information
| OpenRouter ID |
qwen/qwen3.5-flash-02-23
|
| Provider | qwen |
| Release Date | February 25, 2026 |
| Context Length | 1,000,000 tokens |
| Max Completion | 65,536 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.07 | $0.000065 |
| Output | $0.26 | $0.000260 |
Live Performance
Live endpoint metrics — refreshed every 30 minutes.
