LLM Reference
Alibaba Cloud PAI-EAS

Alibaba Cloud PAI-EAS

Researched todayPlatformTier 2

Alibaba Cloud

CodingRAGAgentsLong contextVisionClassificationJSON / Tool useHyperscaler

Alibaba Cloud PAI-EAS offers 50 tracked models (26 with output token pricing). This catalog covers coding, rag, and agents; open any model detail page for benchmarks, batch tiers, and migration prompts.

Covers 7 workload areas across 50 tracked models; last verified 2026-09-02.

Use it for

  • Teams comparing token and batch pricing across this provider's models
  • Operators routing coding, rag, and agents workloads through this API

Do not use it for

  • Final benchmark picks without opening the relevant model detail page

Tracked models

50

Models available through this provider

Priced output routes

26

Models with output token pricing tracked

Cheapest output

$0.150

Qwen3.5-9B on this route

Batch-ready models

0

No batch pricing tracked

Latest model release

2026-09-02

0d since newest release

Freshness

2026-09-02

Researched today

fresh

Information

TypePlatform
TierTier 2
Models50
CompanyAlibaba Cloud
Founded2009
Hangzhou, Zhejiang, China

Alibaba Cloud, established in 2009, offers a comprehensive AI platform as part of its cloud computing services. The platform provides scalable and flexible solutions for businesses of all sizes, financial institutions, and governments to meet their AI and machine learning needs. Alibaba Cloud's AI capabilities are built on its extensive e-commerce ecosystem, leveraging big data and advanced analytics to power intelligent applications. The platform supports various AI technologies, including machine learning, deep learning, natural language processing, and computer vision. Alibaba Cloud's AI offerings enable customers to develop, train, and deploy AI models efficiently, helping them to innovate and optimize their operations in areas such as customer service, product recommendations, fraud detection, and predictive maintenance .

Where this host wins

  • Coding: 23 tracked models with SWE-bench / HumanEval-style scores.
  • RAG: 17 tracked models with ruler / needle retrieval benchmarks.
  • Agentic: 17 tracked models with BFCL, tau-bench, and SWE-bench tool-use coverage.
  • Long-context: 27 tracked models with context-token or InfiniteBench-class signal.

Getting started

Verify: quotas and regions in the linked vendor documentation.

Platform Overview

Alibaba Cloud's Platform for AI (PAI) is a comprehensive AI solution offering a wide array of capabilities including machine learning, natural language processing, and computer vision. The platform boasts over 140 built-in optimization algorithms, enabling users to efficiently perform tasks such as data labeling, model building, and deployment. Key components of PAI include iTAG for intelligent data labeling, Designer for model development, and DLC for cloud-native deep learning. The platform supports both supervised and unsupervised learning, making it adaptable to various applications across different industries. PAI's architecture is designed for scalability and flexibility, accommodating organizations of all sizes.

Available Models(50)

View all →

All models available as Serverless

ModelInput (per 1M)Output (per 1M)
Qwen3.8-Max-0902$2$6
Qwen3.8-27B$0.5$3
Qwen3.8-Max$2$6
Qwen3.7-Plus$0.40$1.60
Qwen3.7-Max$2.5$7.5
Qwen3.6-27B$0.32$3.20
Qwen3.6 Max Preview$1.04$6.24
Qwen3.6-Flash$0.25$1.50
Qwen3.6-Max
Qwen3.6-Plus$0.325$1.95
View full catalog →

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