Using Mixtral 8x7B on Alibaba Cloud PAI-EAS

Implementation guide · Mixtral · MistralAI

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Alibaba Cloud PAI-EAS exposes Mixtral 8x7B through model ID mixtral-8x7b. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-04-19. 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 mixtral-8x7b — see the documentation for request format.
API PortalDocumentationPricing

Code Examples

See Alibaba Cloud PAI-EAS documentation for integration details.

Pricing on Alibaba Cloud PAI-EAS

Capabilities

No model capability flags are currently sourced.

About Mixtral 8x7B

Mixtral 8x7B, developed by Mistral AI, features a cutting-edge Mixture of Experts (MoE) architecture, utilizing eight experts with seven billion parameters each, yielding a total of 46.7 billion parameters. This architecture activates only two experts per token, allowing for efficient processing and a 6x faster inference rate compared to Llama 2 70B. The model excels in performance, surpassing Llama 2 70B and competing with GPT-3.5 on numerous benchmarks. It supports multiple languages and can handle context up to 32,000 tokens, enhancing understanding of lengthy text.

Full model details →

Model Specs

Released2023-12-11
Parameters8x7B
Context32k
ArchitectureMixture of Experts
Knowledge cutoff2023-12

Also available on(17)

Mistral AI Studio$0.15/1MBitdeer AI$0.18/1MSiliconFlow$0.20/1M
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Provider

Alibaba Cloud PAI-EAS

Alibaba Cloud

Hangzhou, Zhejiang, China