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Qwen: Qwen3.5-Flash

by Qwen

9.2
Quality score / 10

Overview

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...

Our take

The concrete job this Flash model is built for is cheap, high-frequency inference where cost per call is the deciding factor: imagine extracting structured fields from a nonstop feed of scanned invoices, each with an attached image, at fractions of a cent apiece. Built on a hybrid architecture that pairs linear attention with a sparse mixture-of-experts design for higher inference efficiency, it carries a 1,000,000-token context window, supports tool calling and structured JSON output, and keeps a chain-of-thought mode available for trickier documents. Its standout figure is price: $0.065 per 1M input tokens, which the data says undercuts roughly 75 percent of comparable models. Against consumer assistants like ChatGPT or Gemini, the emphasis is raw efficiency and unit economics rather than conversational polish; against the pricier Claude Sonnet 5, it trades depth for a rate that makes massive batch jobs viable. The one limitation noted is the absence of a free tier, so testing bills from the first token. Ideal for teams running automated, vision-aware extraction pipelines at scale who need structured output at the lowest plausible cost. Choose it for high-volume, cost-sensitive work; look to a heavier model when a task genuinely demands stronger reasoning.

How Qwen: Qwen3.5-Flash stacks up

Among the 368 chatbots & llms tools in our directory, it ranks #3 of 355 on quality (9.2/10), 16% above the 355-tool average of 8.0, and its $0.065/1M input-token rate is in the budget end — 96% cheaper than the 345-model average of $1.58/1M.

Weighing quality against cost, Qwen: Qwen3.5-Flash's cost-per-quality-point of $0.01 places it in the top 6% for value among chatbots & llms tools.

Qwen: Qwen3.5-Flash in depth

Qwen: Qwen3.5-Flash, built by Qwen, sits in the chatbots & llms space and is a paid tool starting at $0.07/1M tokens. Our editors rate it 9.2 out of 10 based on capability, ecosystem and value. It handles a context window of 1,000,000 tokens.

On the feature side, Qwen: Qwen3.5-Flash brings 1,000,000-token context window, vision (image input), reasoning / chain-of-thought and tool / function calling. These are the capabilities that most shape day-to-day use and separate it from thinner alternatives.

Its biggest strength is low api price — $0.065 per 1m input tokens, cheaper than roughly 75% of comparable models, while the main trade-off to weigh is that no free tier — usage is billed per token. Keep both in mind when deciding whether it fits your workflow.

Qwen: Qwen3.5-Flash is most often chosen for research and writing. If that matches your goals, it's a strong candidate to shortlist.

Speed
Context window
1,000,000 tokens
Free tier
No
Updated
2026-08-15

Key features

  • 1,000,000-token context window
  • Vision (image input)
  • Reasoning / chain-of-thought
  • Tool / function calling
  • Structured (JSON) outputs

Pricing

$0.07/1M tokens
Pay per token
Paid$0.07/1M tokens
API input
$0.065 / 1M tokens
API output
$0.26 / 1M tokens
See full API pricing → llmprice.app

Pros

  • +Low API price — $0.065 per 1M input tokens, cheaper than roughly 75% of comparable models
  • +Large 1,000,000-token context window, bigger than most models listed here
  • +Built-in reasoning (chain-of-thought) mode for harder problems
  • +Accepts images as input (vision-capable)

Cons

  • No free tier — usage is billed per token

Who should use Qwen: Qwen3.5-Flash

  • Anyone looking for a chatbots & llms tool from Qwen.
  • Teams and individuals focused on research and writing.
  • People who value low api price — $0.065 per 1m input tokens, cheaper than roughly 75% of comparable models.
  • Workflows that need a 1,000,000 tokens context window.

Who should look elsewhere

  • Anyone who needs a free tier — this tool is paid only.
  • Those for whom no free tier — usage is billed per token is a dealbreaker.

Best for

10 Best Qwen: Qwen3.5-Flash Alternatives in 2026

Qwen: Qwen3.5-Flash is a strong chatbots & llms tool, but it is not the only option. Whether you are after a lower price, different features or a better fit for your workflow, here are the 10 best alternatives to Qwen: Qwen3.5-Flash, ranked and compared.

1
ClaudeFree tier$20/mo

Anthropic

Claude is Anthropic's family of AI assistants, known for long-context reasoning, careful writing and strong coding…

+ Best-in-class long-document reasoning+ Natural, high-quality writing+ Strong safety and reliability
Read full Claude review →
2
ChatGPTFree tier$20/mo

OpenAI

ChatGPT is OpenAI's flagship conversational AI, powering hundreds of millions of weekly users across web, mobile and…

+ Most polished and widely supported ecosystem+ Excellent general reasoning and coding+ Huge third-party integration support
Read full ChatGPT review →
3
GeminiFree tier$20/mo

Google DeepMind

Gemini is Google's natively multimodal model family, deeply integrated across Search, Workspace, Android and the Pixel…

+ Massive context window+ Tight integration with Google ecosystem+ Generous free access
Read full Gemini review →
4

Google

Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step…

+ Large 1,048,576-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full Google: Gemini 3.7 Flash (batch) review →
5
Meta: Muse Spark 1.2Paid$1.25/1M tokens

Meta

Muse Spark 1.2 is a reasoning model from Meta, designed for complex agentic tasks.

+ Large 1,048,576-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full Meta: Muse Spark 1.2 review →
6
Qwen: Qwen3.8 MaxPaid$2.00/1M tokens

Qwen

Qwen3.8 Max is the flagship model in Alibaba's Qwen3.8 series, the general-availability successor to the Qwen3.8 Max…

+ Large 1,000,000-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full Qwen: Qwen3.8 Max review →
7
Qwen: Qwen3.7 FlashPaid$0.03/1M tokens

Qwen

Qwen3.7 Flash is a vision-language reasoning model from Alibaba. It is suited for multimodal agents, visual coding…

+ Low API price — $0.03 per 1M input tokens, cheaper than roughly 75% of comparable models+ Large 1,000,000-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems
Read full Qwen: Qwen3.7 Flash review →
8
Claude Opus 5 (Fast)Paid$10.00/1M tokens

Anthropic

Fast-mode variant of [Opus 5](/anthropic/claude-opus-5) - identical capabilities with higher output speed at 2x pricing…

+ Large 1,000,000-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full Claude Opus 5 (Fast) review →
9
Claude Opus 5 (batch)Paid$2.50/1M tokens

Anthropic

Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work.

+ Large 1,000,000-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full Claude Opus 5 (batch) review →
10

Google

Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development.

+ Large 1,048,576-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full Google: Gemini 3.6 Flash (batch) review →

Qwen: Qwen3.5-Flash vs top alternatives

A side-by-side look at how Qwen: Qwen3.5-Flash stacks up against its closest rivals.

FeatureQwen: Qwen3.5-FlashQwenClaudeAnthropicChatGPTOpenAIGeminiGoogle DeepMind
Quality score9.2 / 109.6 / 109.5 / 109.2 / 10
Starting price$0.07/1M tokens$20/mo$20/mo$20/mo
Free tierNoYes — Free tier availableYes — Free tier availableYes — Free tier available
API input price$0.065 / 1M tokens$10 / 1M tokens$0.1 / 1M tokens$0.1875 / 1M tokens
API output price$0.26 / 1M tokens$50 / 1M tokens$0.6 / 1M tokens$0.9375 / 1M tokens
SpeedFastFastFast
Context window1,000,000 tokens200K tokens128K tokens1M-2M tokens
CategoriesChatbots & LLMsChatbots & LLMs, Coding, WritingChatbots & LLMs, Coding, WritingChatbots & LLMs, Coding, Writing
Key features
  • 1,000,000-token context window
  • Vision (image input)
  • Reasoning / chain-of-thought
  • Tool / function calling
  • Industry-leading long context (200K+ tokens)
  • Artifacts for live previews
  • Strong agentic coding (Claude Code)
  • Vision and document analysis
  • Multimodal text, image and voice input
  • Advanced data analysis (code interpreter)
  • Custom GPTs and GPT Store
  • Web browsing and real-time search
  • Up to 2M token context window
  • Deep Google Workspace integration
  • Native video and audio understanding
  • Real-time Google Search grounding
Pros
  • + Low API price — $0.065 per 1M input tokens, cheaper than roughly 75% of comparable models
  • + Large 1,000,000-token context window, bigger than most models listed here
  • + Built-in reasoning (chain-of-thought) mode for harder problems
  • + Accepts images as input (vision-capable)
  • + Best-in-class long-document reasoning
  • + Natural, high-quality writing
  • + Strong safety and reliability
  • + Most polished and widely supported ecosystem
  • + Excellent general reasoning and coding
  • + Huge third-party integration support
  • + Massive context window
  • + Tight integration with Google ecosystem
  • + Generous free access
Cons
  • No free tier — usage is billed per token
  • No native image generation
  • Fewer consumer integrations than ChatGPT
  • Usage caps on the most capable models
  • Can be verbose and overly cautious
  • Quality can be inconsistent on edge cases
  • Privacy concerns for some users

Frequently asked questions

Q. Is Qwen: Qwen3.5-Flash free?

No — Qwen: Qwen3.5-Flash is a paid tool, starting at $0.07/1M tokens.

Q. How much does Qwen: Qwen3.5-Flash cost?

Qwen: Qwen3.5-Flash starts at $0.07/1M tokens. API usage is around $0.065 per 1M input tokens and $0.26 per 1M output tokens.

Q. What is Qwen: Qwen3.5-Flash best for?

Qwen: Qwen3.5-Flash is best suited to research and writing, within the chatbots & llms category.

Q. What are the best Qwen: Qwen3.5-Flash alternatives?

Popular alternatives to Qwen: Qwen3.5-Flash include Claude, ChatGPT, Gemini and Google: Gemini 3.7 Flash (batch). Each trades off price, quality and ecosystem differently.

Q. Is there a free alternative to Qwen: Qwen3.5-Flash?

Yes. Claude, ChatGPT, Gemini offer a free tier, making them good starting points if you want to avoid an upfront subscription.

Q. Why switch from Qwen: Qwen3.5-Flash?

Common reasons include pricing, specific feature gaps (No free tier — usage is billed per token), data-privacy requirements, or simply wanting a tool that fits your stack better.

How we rate AI tools

Our quality score weighs capability on real tasks, breadth of features and integrations, pricing and value, and how actively the tool is maintained. Scores are editorial guidance, not benchmarks — always trial a tool on your own workflow before committing. Pricing and features change frequently, so verify current details on the official site.

Ready to try Qwen: Qwen3.5-Flash?

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Visit Qwen: Qwen3.5-Flash