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Qwen 3.5 Flash

Qwen 3.5 Flash is Alibaba's production-hosted multimodal model built on a hybrid linear-attention MoE architecture, offering a context window of 1M tokens and sub-second responsiveness for high-throughput agentic workloads.

Vision (Image)Explicit CachingFile InputReasoningTool Use
index.ts
import { streamText } from 'ai'


const result = streamText({
  model: 'alibaba/qwen3.5-flash',
  prompt: 'Why is the sky blue?'
})
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Frequently Asked Questions

  • What architecture powers Qwen 3.5 Flash?

    It uses a Gated DeltaNet plus sparse mixture-of-experts design with a 3:1 linear-to-full attention ratio, enabling efficient processing of very long sequences at lower compute cost than dense transformer models.

  • Can Qwen 3.5 Flash analyze video clips?

    Yes. The model natively accepts video inputs alongside text and images, allowing you to include short video segments in the same prompt as text instructions without preprocessing.

  • How does the context of 1M tokens affect RAG architecture decisions?

    For many document retrieval tasks the full context window eliminates the need for a separate vector search layer, since entire documents or codebases can be passed directly. However, chunking and retrieval still benefit latency and cost for very large corpora.

  • Does Qwen 3.5 Flash support tool calling?

    Yes. Tool calling, structured JSON outputs, and function-calling patterns are fully supported across all AI Gateway interfaces.

  • What does the configurable reasoning parameter do?

    Callers can adjust how much internal chain-of-thought computation the model performs before responding. Lower settings optimize for speed; higher settings improve accuracy on multi-step reasoning tasks at the cost of added latency.

  • What is the difference between Qwen 3.5 Flash and Qwen3.5-Plus?

    Flash is the cost-optimized, lower-latency variant built on the 35B-A3B architecture, while Plus is the higher-capability tier suited for more demanding reasoning and visual analysis tasks. Both share the context window of 1M tokens.

  • Is Qwen 3.5 Flash suitable for production agentic workflows?

    Yes. The model was specifically designed for agentic use: it supports adaptive tool use, structured outputs, and the long context required to maintain agent state across many tool-call turns.