Alibaba Cloud PAI-EAS
Researched 1d agoPlatformTier 2Alibaba Cloud
Alibaba Cloud PAI-EAS exposes 47 tracked models (21 with output token pricing in seed data). Task coverage across this catalog includes coding, rag, and agents; open any model detail page for benchmarks, batch tiers, and migration prompts.
Portfolio context: 7 decision-task tags, 47 catalog rows, latest research stamp 2026-06-03.
Use this portfolio page for
- Teams comparing token and batch economics on this surface
- Operators routing coding, rag, and agents workloads through this API
Do not stop here for
- Final benchmark picks without opening the relevant model detail page
Catalog rows
47
Models linked to this provider in seed data
Priced output routes
21
Rows with token_out in seed data
Cheapest output
$0.150
Qwen3.5-9B on this route
Batch-ready SKUs
0
No batch pricing tracked
Latest catalog ship
2026-06-02
2d since dated release field
Freshness
2026-06-03
Researched 1d ago
Catalog release signal
Latest ISO-dated model.release in this catalog is 2026-06-02 (2d ago).
Where this host wins
- Coding: 12 tracked models with SWE-bench / HumanEval-style scores.
- RAG: 11 tracked models with ruler / needle retrieval benchmarks.
- Agentic: 10 tracked models with BFCL, tau-bench, and SWE-bench tool-use coverage.
- Long-context: 24 tracked models with context-token or InfiniteBench-class signal.
Getting started
Official entry points from seed metadata — confirm quotas and regions in vendor docs.
Compliance notes (verbatim seed excerpts)
Not yet verified from seed copy — no SOC/ISO/HIPAA-class sentences detected to quote verbatim.
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. It offers elastic computing resources and a pay-as-you-go pricing model, allowing businesses to optimize their AI operations without significant upfront investments. The platform's integration capabilities enable companies to enhance efficiency, automate routine tasks, and make data-driven decisions. By leveraging PAI, businesses can improve customer experiences through personalized services and operational optimization, ultimately gaining a competitive edge in their respective markets.
Compare per-model pricing, input and output token costs, batch availability, and benchmark coverage.
Available Models(47)
View all →All models available as Serverless
| Model | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Qwen3.7-Plus | ||
| 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 |
| Qwen3.5-Omni Flash | $0.10 | $0.80 |
| Qwen3.5-Omni Plus | $0.40 | $4.80 |
| Qwen3.5-9B | $0.10 | $0.15 |
Platform Details
Organization
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 .