Qwen3.5 397B A17B

Qwen · Released February 2026

The Qwen3.5 series 397B-A17B native vision-language model is 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

262K tokens

Input price

6.0 credits / 1M tokens ($0.50 raw)

Output price

43.2 credits / 1M tokens ($3.60 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.

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What Qwen3.5 397B A17B is best for

• Everyday chat and drafting on an open-weight model with transparent lineage
• Long documents: the 262K-token window holds lengthy reports, contracts or papers whole
• 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 open weight model like Qwen3.5 397B A17B:

• Draft a project update from these rough notes
• Explain how HTTPS works to a curious teenager
• Turn this list of features into a changelog entry
• Brainstorm objections to this proposal and how to answer them

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 397B A17B?

Qwen3.5 397B A17B is an AI model by Qwen. The Qwen3.5 series 397B-A17B native vision-language model is 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 397B A17B cost on Zeplik?

Input tokens cost 6.0 credits per million and output tokens 43.2 credits per million (1 credit = $0.10; the raw provider rates are $0.50 and $3.60 per million). New accounts start with free credits.

How long can a conversation with Qwen3.5 397B A17B be?

Qwen3.5 397B A17B has a 262K-token context window (262,144 tokens), which covers the conversation plus any documents you attach.

Does Qwen3.5 397B A17B support images and tools?

Qwen3.5 397B A17B accepts image input and supports tool calling.

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