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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 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.
2/25/2026
1,000,000 tokens
Specifications
Modalities
Input
text
image
video
Output
text
Supported Parameters
include_reasoning
max_tokens
presence_penalty
reasoning
response_format
seed
structured_outputs
temperature
tool_choice
tools
top_p
Max Output Tokens
65,536Data policy
- Prompt retention
- Unknown — we could not confirm
- Training
- Unknown — not declared
"Unknown" does not mean "safe". It means we could not confirm it.
Whether a provider trains on prompts is a declared value from our terms with them. Retention is determined from the upstream listing for every host this model can reach. Neither is guessed.
Frequently asked questions
- Is Qwen3.5-Flash available on FastMetal?
- Not at the moment. Qwen3 VL 235B A22B Instruct, from the same lab, is available on the FastMetal API today.
- What is the context window of Qwen3.5-Flash?
- 1,000,000 tokens, shared between the prompt and the response.