Using Mixtral 8x7B on Baseten API

Implementation guide · Mixtral · MistralAI

ServerlessOpen Source

Baseten API 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 2026-06-15. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at Baseten API and generate an API key.
  2. 2
    Use the Baseten API SDK or REST API to call mixtral-8x7b — see the documentation for request format.

Code Examples

See Baseten API documentation for integration details.

Pricing on Baseten API

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.

Model Specs

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

Provider

Baseten API

Baseten

San Francisco, California, United States