Skip to main content
Kaino.dev
Discover
Evals
News
Academics
Insights
Kaino.dev

Discover, evaluate, and compare AI tools, models, and agents.

Explore

  • Discover
  • Evaluations
  • News
  • Academics
  • Insights

Community

  • Twitter
  • YouTube
  • Instagram
Privacy PolicyTerms of Service

© 2026 Kaino.dev. All rights reserved.

Version 1.1.0
Qwen: Qwen3.5-Flash · Discover · Kaino
Discover/MODELS/Qwen: Qwen3.5-Flash
Qwen: Qwen3.5-Flash logo

MODELS

Qwen: Qwen3.5-Flash

by Qwen / Alibaba Cloud

modellead-sourceopenrouter-modelsqwenalibaba-cloudvision-languagemultimodallong-contextflashsource:alibabacloud.comqwen3.5-flashreasoningfunction-callingstructured-outputcommercial-api
Visit WebsiteDocumentation

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

  1. Review the Qwen API Platform page to confirm the model’s listed inputs
  2. output type
  3. and context length.
  4. Check Alibaba Cloud Model Studio text-generation documentation for qwen3.5-flash limits
  5. including context
  6. max output
  7. and thinking budget.
  8. 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.
  9. Read the Qwen Cloud safety guide because it states that API requests pass through automatic moderation screening for inputs and outputs.
  10. Run a small evaluation with representative text
  11. image
  12. or video inputs to validate quality
  13. latency
  14. 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