Qwen3.5-Flash

Qwen · Released February 2026

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.

It is part of Alibaba's Qwen family, a broad catalog where Max leads on capability and Max Prime serves it at higher throughput, Plus balances cost, and Flash, VL and the open-weight sizes cover high-volume, vision and self-hosted work.

Facts and pricing

Provider

Qwen

Context window

1M tokens

Input price

0.78 credits / 1M tokens ($0.065 raw)

Output price

3.1 credits / 1M tokens ($0.26 raw)

Vision (image input)

Yes

Tool calling

Yes

Extended reasoning

No

Credits are what Zeplik bills: 1 credit = $0.10, computed from the raw provider rate with a 1.20x margin. Raw prices shown per 1M tokens.

Try Qwen3.5-Flash now

What Qwen3.5-Flash is best for

• High-volume everyday tasks where speed and cost matter: summaries, drafts, quick questions
• Very long documents and codebases: a 1M-token window fits entire books or repositories in one conversation
• Working with images: screenshots, charts, photos and scanned documents alongside text
• Tool use and agents: reliably calls functions, so it can search, run skills and drive workflows

Example prompts

Prompts that suit a fast and light model like Qwen3.5-Flash:

• Summarize this article in five bullet points
• Rewrite this email to be shorter and friendlier
• Give me ten name ideas for a hiking newsletter
• Translate this paragraph to Spanish and keep the tone

Qwen family

All 41 Qwen models

Model comparisons

• Llama 4 Maverick vs Qwen3.7 Max
• DeepSeek V4 Pro 0423 vs Qwen3.7 Max
• Qwen3.7 Max vs GLM 5.2
• Qwen3.7 Max vs Qwen3.7 Plus

Frequently asked questions

What is Qwen3.5-Flash?

Qwen3.5-Flash is an AI model by Qwen. 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.

How much does Qwen3.5-Flash cost on Zeplik?

Input tokens cost 0.78 credits per million and output tokens 3.1 credits per million (1 credit = $0.10; the raw provider rates are $0.065 and $0.26 per million). New accounts start with free credits.

How long can a conversation with Qwen3.5-Flash be?

Qwen3.5-Flash has a 1M-token context window (1,000,000 tokens), which covers the conversation plus any documents you attach.

Does Qwen3.5-Flash support images and tools?

Qwen3.5-Flash accepts image input and supports tool calling.

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