Qwen3.5-122B-A10B

Qwen · Released February 2026

The Qwen3.5 122B-A10B 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

3.1 credits / 1M tokens ($0.26 raw)

Output price

25.0 credits / 1M tokens ($2.08 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 Qwen3.5-122B-A10B now

What Qwen3.5-122B-A10B 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 Qwen3.5-122B-A10B:

• 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 Qwen3.5-122B-A10B?

Qwen3.5-122B-A10B is an AI model by Qwen. The Qwen3.5 122B-A10B 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 Qwen3.5-122B-A10B cost on Zeplik?

Input tokens cost 3.1 credits per million and output tokens 25.0 credits per million (1 credit = $0.10; the raw provider rates are $0.26 and $2.08 per million). New accounts start with free credits.

How long can a conversation with Qwen3.5-122B-A10B be?

Qwen3.5-122B-A10B has a 262K-token context window (262,144 tokens), which covers the conversation plus any documents you attach.

Does Qwen3.5-122B-A10B support images and tools?

Qwen3.5-122B-A10B accepts image input and supports tool calling.

Related models