Reasoning model from Hangzhou-based DeepSeek with one million tokens of context and thinking mode on by default, at a low price per token.

Qwen3.8-Max AI features, pricing and GDPR (October 2026)
Alibaba Cloud's flagship Qwen model with thinking and non-thinking modes, deployable in Frankfurt as well.
from $1.65 usage-based
Pricing details
International (Singapore) $2 per million input tokens and $6 per million output tokens. In Frankfurt and Virginia $1.65 and $4.951 with global deployment: request data stays in the selected region, while computation runs on servers worldwide. New users get 1 million free tokens for 90 days in Singapore only.
What is Qwen3.8-Max?
Qwen3.8-Max is the flagship commercial model of Alibaba's Qwen family, offered through Alibaba Cloud Model Studio with deployment options in Singapore, Frankfurt and Virginia.
Model Studio lists qwen3.8-max as the top model next to qwen3.7-plus and qwen3.8-flash. It supports a thinking mode and a non-thinking mode at identical prices and offers context caching discounts. Alibaba describes the Qwen family as the base for its enterprise and consumer services. Prices differ by deployment region, and the free quota for new users applies only to the Singapore deployment.
Qwen3.8-Max AI features and use cases
- Switches between quick and deliberate answersThe same model answers directly or thinks first, depending on the request. Developers choose depth per task without changing models or price.
- Stores request data in a European regionIn the Germany (Frankfurt) region, request data stays in Frankfurt. At the listed price the deployment scope is global, so computation can run on servers worldwide. Frankfurt also offers an EU-only scope, but its availability for this model was not confirmed at our check.
- Reduces cost for repeated contextContext caching lowers the price of recurring prompt parts. Applications with long fixed instructions save on every call.
What sets Qwen3.8-Max apart
- Frankfurt and Virginia deployments are cheaper per token than the Singapore deployment.
- Same price for thinking and non-thinking mode.
Where Qwen3.8-Max is strongest
Qwen comes from Alibaba, headquartered in Hangzhou, China.
Questions to ask before you buy Qwen3.8-Max
Choose the deployment region deliberately, since price, free quota and data location differ. At the listed Frankfurt price the deployment scope is global: request data stays in Frankfurt, but computation can run worldwide. Check the data processing terms of Alibaba Cloud for your region and whether your procurement rules allow a provider headquartered in China.
Using Qwen3.8-Max in the EU: GDPR and AI Act
- Data locationMultiple regions, EU region available (according to the vendor). Hosting regions: Singapore, Germany, United States, China.
- Data processing agreementNot published by the vendor: ask for one (Art. 28 GDPR).
- EU AI ActCheck whether the AI prepares decisions about people. If not, the high-risk rules usually do not apply. The high-risk obligations apply from December 2, 2027 (Digital Omnibus).
Qwen3.8-Max reviews
No reviews yet. Be the first to share how your team uses it.
Every review shows its verification level. We read each one before it goes live. How we check reviews
Questions about Qwen3.8-Max
What does Qwen3.8-Max cost?
$2 per million input tokens and $6 per million output tokens in Singapore, and $1.65 and $4.951 in Frankfurt and Virginia with global deployment.
Can I use Qwen3.8-Max in the EU?
Model Studio offers a Germany (Frankfurt) region where request data is stored. With the global deployment scope, computation can run outside the EU. Ask Alibaba Cloud whether the model is available in the EU-only scope.
Is there a free quota?
New users get 1 million tokens for 90 days, but only in the Singapore deployment.
Qwen3.8-Max update historyno updates yet
No changes recorded for Qwen3.8-Max yet.
Changes the vendor made and confirmed user reports, each checked against the vendor's own pages. We review every tool monthly.
Alternatives to Qwen3.8-Max
Tools in the same category (Frontier models) with the most overlapping markets.
Anthropic's model for demanding reasoning and long-horizon agentic work, with thinking always on.
Anthropic's frontier model for long-running agentic coding and knowledge work, with a one-million-token context.
OpenAI's most capable model for hard end-to-end work, with five reasoning levels and a context of about one million tokens.



