LLM Reference
Alibaba Cloud PAI-EAS

Alibaba Cloud PAI-EAS Models — Pricing & Benchmarks

46 models available · Alibaba Cloud

Alibaba Cloud PAI-EAS hosts 46 AI models in this catalog. The lowest listed input price is Qwen-Flash-Character at $0.05/1M input tokens. LLM Reference lets you compare these models across all 65 providers without switching tabs.

ModelInput (per 1M)Output (per 1M)Context
Qwen-Flash-Character$0.05$0.401M
Qwen3.5-9B$0.10$0.15262K
Qwen3.5-Flash$0.10$0.401M
Qwen3.5-Omni Flash$0.10$0.80262K
Qwen-MT-Lite$0.12$0.36—
Qwen-MT-Flash$0.16$0.49—
Qwen3.5-27B$0.195$1.56262K
Qwen-Flash$0.25$2.001M
Qwen3.6-Flash$0.25$1.501M
Qwen3.5-122B-A10B$0.26$2.08262K
Qwen3.6-27B$0.32$3.20262K
Qwen3.6-Plus$0.325$1.951M
Qwen3.5-397B-A17B$0.39$2.34262K
Qwen3.5-Omni Plus$0.40$4.80262K
Qwen3.5-Plus$0.40$2.401M
Qwen-Plus-Character$0.50$1.401M
Qwen3.6 Max Preview$1.04$6.24256K
Qwen-Plus$1.20$3.601M
Qwen3-Coder-Flash$1.60$9.601M
Qwen-MT-Plus$2.46$7.37—
Baichuan 2 13B——4K
Baichuan 2 7B——4K
ChatGLM3 6B 32K——32K
DeepSeek Coder 33B——16K
DeepSeek Coder 7B V1.5——16K
Falcon 180B———
Falcon 40B———
Falcon 7B———
Gemma 2B Instruct——2K
Gemma 7B Instruct——8K
Llama 2 13B Chat——4K
Llama 2 70B Chat——4K
Llama 2 7B Chat——4K
Llama 3 8B Instruct——8K
Mistral 7B v0.1——8K
Mixtral 8x7B——32K
Qwen1.5-1.8B——32K
Qwen1.5-14B——32K
Qwen1.5-72B——32K
Qwen1.5-7B——32K
Qwen3-Coder-Plus——1M
Qwen3.6-Max——262K
Qwen3.7-Max——1M
Yi 34B——200K
Yi 34B 200K——200K
Yi 6B——200K

Pricing Overview

Cheapest$0.05/1M
Most expensive$2.46/1M

About Alibaba Cloud PAI-EAS

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.

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