---
title: "Mixtral 8x7B: What you need to know about Mistral AI’s latest model"
url: https://daily.dev/posts/mixtral-8x7b-what-you-need-to-know-about-mistral-ai-s-latest-model-1acpyzux9
source_url: https://neon.com/blog/mixtral-8x7b-what-you-need-to-know-about-mistral-ais-latest-model
type: article
source: "Neon"
published: 2026-07-09T06:57:39.511Z
updated: 2026-07-09T06:59:36.452Z
tags: ["llm", "nlp", "rag", "mistral-ai"]
reading_time: 5
upvotes: 0
comments: 0
language: en
---

> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Mixtral 8x7B: What you need to know about Mistral AI’s latest model

**[Neon](https://daily.dev/sources/neontech)** · 5 min read · 0 upvotes · 0 comments

## Summary

Mistral AI released Mixtral 8x7B, a Mixture-of-Experts LLM that matches or outperforms GPT-3.5 on most benchmarks while supporting 32k tokens and improved code generation. The post covers benchmark comparisons against LLaMA 2 70B and GPT-3.5, hardware requirements for self-hosting (64GB RAM, 2 GPUs), the Mistral AI API with Python and JavaScript SDKs, the new mistral-embed 1024-dimension embedding model, and a pricing comparison showing mistral-tiny and mistral-small are cheaper than gpt-3.5-turbo. Developers using pgvector with ada v2 embeddings will need to re-create embeddings to switch to mistral-embed.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://neon.com/blog/mixtral-8x7b-what-you-need-to-know-about-mistral-ais-latest-model>

---

Tags: [#llm](https://daily.dev/tags/llm), [#nlp](https://daily.dev/tags/nlp), [#rag](https://daily.dev/tags/rag), [#mistral-ai](https://daily.dev/tags/mistral-ai)

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