LLM Reference
Alibaba Cloud PAI-EAS

Using Qwen3.8-Max-0902 on Alibaba Cloud PAI-EAS

Implementation guide · Qwen3.8 · Alibaba

Serverless

Alibaba Cloud PAI-EAS exposes Qwen3.8-Max-0902 through model ID qwen3.8-max-0902. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-09-02. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at Alibaba Cloud PAI-EAS and generate an API key.
  2. 2
    Use the Alibaba Cloud PAI-EAS SDK or REST API to call qwen3.8-max-0902 — see the documentation for request format.
  3. 3
    You'll be billed $2.00/1M input, $6.00/1M output tokens. See full pricing.

Code Examples

See Alibaba Cloud PAI-EAS documentation for integration details.

Pricing on Alibaba Cloud PAI-EAS

TypePrice (per 1M)
Input tokens$2.00
Output tokens$6.00

Capabilities

VisionMultimodalReasoningJSON / Tool useStructured OutputsPrompt Caching

About Qwen3.8-Max-0902

Qwen3.8-Max-0902 is Alibaba's dated API snapshot of Qwen3.8-Max, listed September 2, 2026 on QwenCloud and Model Studio as model ID qwen3.8-max-0902 (first-party alias qwen3.8-max-2026-09-02). Official copy: an upgraded snapshot of qwen3.8-max with stronger coding (engineering-scale / long-horizon autonomous development), collaborative-agent multi-tool orchestration, and refined native vision (chart reasoning, document parsing, multimodal perception). Retains the 1,000,000-token context window, thinking mode, and full tool ecosystem. Input image/text/video, output text; function calling, structured outputs, context cache. International QwenCloud / Model Studio Singapore list price $2 input / $6 output per 1M tokens; implicit cache $0.25; explicit cache create $2.50; explicit cache read $0.17.

Model Specs

Released2026-09-02
Parameters2.4T
Context1m
ArchitectureMixture of Experts

Provider

Alibaba Cloud PAI-EAS
Alibaba Cloud PAI-EAS

Alibaba Cloud

Hangzhou, Zhejiang, China