The Orchestrator › Models › Qwen
Qwen: Qwen3.5-Flash
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...
Specifications
| Provider | Qwen |
| Model ID | qwen/qwen3.5-flash-02-23 |
| Context window | 1M tokens (1,000,000) |
| Modalities | text + image + video → text |
| Tokenizer | Qwen3 |
| Router sources | OpenRouter |
| Released | 2026-02-25 |
| Tracked since | 2026-11-14 |
| Popularity | Not in the ranked set |
| Reasoning | Supported |
Pricing (per million tokens)
| Variant | Source | API ID | Input | Output | Context |
|---|---|---|---|---|---|
| standard | OpenRouter | qwen/qwen3.5-flash-02-23 | $0.065 | $0.26 | 1M |
Recorded price history
| Date | Input / 1M | Output / 1M | Context |
|---|---|---|---|
| 2026-11-14 | $0.065 | $0.26 | 1M |
Capabilities
Vision (image input)Video inputAgentic tool useStructured outputs1M+ context windowControllable reasoning
Supported parameters
frequency_penalty, include_reasoning, max_tokens, presence_penalty, reasoning, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_p