Model Comparison

Llama 3.1 405BMistral 8x22B
Let's see who can write code better - Llama 3.1 405B or Mistral 8x22B

Model Information

Llama 3.1 405B

Description

Open-source frontier model with 405 billion parameters

Specifications

Context Window128K
Max Output4K
ReleasedJul 2024
API✗

Key Features

Open sourceSelf-hostableTool use supportMultilingualNo usage restrictions

Strengths

  • ✓Fully open source
  • ✓Can be self-hosted
  • ✓Strong performance
  • ✓No API costs if self-hosted

Weaknesses

  • ✗Requires significant compute
  • ✗Complex to deploy
  • ✗No official API service

Agent Support

No known agents

Mistral 8x22B

Mistral AI

Description

Advanced mixture of experts model with enhanced capabilities

Specifications

Context Window64K
Max Output4K
ReleasedApr 2024
API✓

Pricing (per 1M)

In / Out
$2/ $6

Key Features

Advanced mixture of expertsEnhanced reasoningLarger parameter countMulti-language support

Strengths

  • ✓Very strong performance
  • ✓Advanced reasoning capabilities
  • ✓Good for complex tasks
  • ✓Competitive with top models

Weaknesses

  • ✗Expensive pricing
  • ✗Requires significant compute
  • ✗Complex deployment

Agent Support

No known agents