
MODELS
Qwen: Qwen3.5-Flash
by Qwen / Alibaba Cloud
Overview
Qwen3.5-Flash is a Qwen flagship model with text, image, and video inputs, text output, and a 1,000,000-token context window.
Details
Qwen3.5-Flash is listed on the Qwen API Platform among flagship models with text, image, and video inputs, text output, and a 1,000,000-token context length. Alibaba Cloud Model Studio describes Qwen3.5-Flash as a fast, cost-effective flagship model and lists qwen3.5-flash and qwen3.5-flash-2026-02-23 as reasoning model releases. Alibaba Cloud’s text-generation model table lists 1M context, 64k max output, 80k thinking budget, and support for function calling, built-in tools, and structured output.
When to Use
Use when you need a Qwen flagship model that can process text image or video inputs and return text output. Use for long-context workloads that can benefit from the listed 1 000 000-token context window. Evaluate for applications where Alibaba Cloud’s described fast response and cost-effective positioning are important. Use when you need function calling built-in tools or structured output support as listed in Alibaba Cloud Model Studio documentation.
Getting Started
- Review the Qwen API Platform page to confirm the model’s listed inputs
- output type
- and context length.
- Check Alibaba Cloud Model Studio text-generation documentation for qwen3.5-flash limits
- including context
- max output
- and thinking budget.
- Review Alibaba Cloud Model Studio pricing before production use; the listed international pricing is $0.10 per 1M input tokens and $0.40 per 1M output tokens for 0<Token≤1M.
- Read the Qwen Cloud safety guide because it states that API requests pass through automatic moderation screening for inputs and outputs.
- Run a small evaluation with representative text
- image
- or video inputs to validate quality
- latency
- and tool-calling behavior for your workload.
Key Features
- •Text
- •image
- •and video inputs with text output listed by Qwen API Platform
- •1
- •000
- •000-token context length listed by Qwen and Alibaba Cloud sources
- •64k max output and 80k thinking budget listed in Alibaba Cloud’s text-generation model table
- •Function calling
- •built-in tools
- •and structured output support listed by Alibaba Cloud Model Studio
- •Described by Alibaba Cloud Model Studio as a fast
- •cost-effective flagship model
- •OpenRouter description says Qwen3.5 native vision-language Flash models use a hybrid architecture integrating linear attention with sparse mixture-of-experts for inference efficiency
Capabilities
- •text-input
- •image-input
- •video-input
- •text-output
- •long-context
- •vision-language
- •function-calling
- •tool-use
- •structured-output
- •reasoning
Last updated Jun 2, 2026