How much does Qwen3.6 Flash cost on Zeplik?

Input tokens cost 2.2 credits per million and output tokens 13.5 credits per million (1 credit = $0.10; the raw provider rates are $0.19 and $1.13 per million). New accounts start with free credits.

How long can a conversation with Qwen3.6 Flash be?

Qwen3.6 Flash has a 1M-token context window (1,000,000 tokens), which covers the conversation plus any documents you attach.

Does Qwen3.6 Flash support images and tools?

Qwen3.6 Flash accepts image input and supports tool calling.

Qwen3.6 Flash

Fast and lightVisionTools

Qwen · Released April 2026

Qwen3.6 Flash is a fast, efficient language model from Alibaba's Qwen 3.6 series. It supports text, image, and video input with a 1M token context window.

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: 2.2 credits / 1M tokens ($0.19 raw)
Output price: 13.5 credits / 1M tokens ($1.13 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 Qwen3.6 Flash now

Or open Zeplik with Qwen3.6 Flash already selected

What Qwen3.6 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 Qwen3.6 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

Model	Context	Input cr/M	Output cr/M	Released
Qwen3.8 Max Prime	1M	48.0	144	September 2026
Qwen3.8 Omni Flash	1M	1.8	5.6	September 2026
Qwen3.8 Max (0902)	1M	24.0	72.0	September 2026
Qwen3.8 Flash	1M	1.8	5.6	August 2026
Qwen3.8 27B	262K	1.8	22.5	August 2026
Qwen3.8 2.4T A95B	1M	24.0	72.0	August 2026
Qwen3.7 Flash	1M	0.36	1.6	July 2026
Qwen3.7 Plus	1M	3.8	15.4	June 2026
Qwen3.7 Max	1M	17.7	53.1	May 2026
Qwen3.5 Plus 2026-04-20	1M	3.6	21.6	April 2026

All 41 Qwen models

Model comparisons

Frequently asked questions

What is Qwen3.6 Flash?: Qwen3.6 Flash is an AI model by Qwen. Qwen3.6 Flash is a fast, efficient language model from Alibaba's Qwen 3.6 series. It supports text, image, and video input with a 1M token context window.
How much does Qwen3.6 Flash cost on Zeplik?: Input tokens cost 2.2 credits per million and output tokens 13.5 credits per million (1 credit = $0.10; the raw provider rates are $0.19 and $1.13 per million). New accounts start with free credits.
How long can a conversation with Qwen3.6 Flash be?: Qwen3.6 Flash has a 1M-token context window (1,000,000 tokens), which covers the conversation plus any documents you attach.
Does Qwen3.6 Flash support images and tools?: Qwen3.6 Flash accepts image input and supports tool calling.

Related models

Qwen3.8 Max PrimeFrontier

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Qwen3.8 Omni FlashFast and light

Qwen3.8 Omni Flash is an omni-modal reasoning model from Alibaba, the first Qwen model built around agentic capabilities with native audio-video understanding.

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Qwen3.8 Max (0902)Frontier

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Qwen3.8 FlashFast and light

Qwen3.8 Flash is a multimodal reasoning model from Alibaba. It is suited for coding assistance, agentic workflows, visual understanding, document and codebase analysis, desktop interaction, chart analysis, and long-video analysis.

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Qwen3.8 27BOpen weight

Qwen3.8 27B is an open-weight dense vision-language model from Qwen.

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Qwen3.8 2.4T A95BFrontier

Qwen3.8 2.4T A95B is an open-weight sparse mixture-of-experts model from Qwen and the open-weight variant of [Qwen3.8 Max](/qwen/qwen3.8-max), with 95 billion active parameters out of 2.4 trillion total.

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