Mistral / Mixtral
High-performance open-weight LLMs by Mistral AI with MoE architecture.
About
Mistral AI publishes open-weight models including the dense Mistral 7B and the Mixtral 8x7B and 8x22B sparse mixture-of-experts models, known for strong performance relative to their active parameter count. The family supports function calling and extended context, and the lineup has grown to include Codestral, Mathstral, Mistral Nemo, and Pixtral. The core open-weight models are released under the Apache 2.0 license.
Reviews (0)
Leave a Review
No reviews yet. Be the first to review!
Details
- Category
- Large Language Models (LLMs)
- Price
- Free
- Platform
- Local/Desktop
- Difficulty
- Intermediate (3/5)
- License
- Apache-2.0
- Minimum VRAM
- 8 GB
- Added
- Apr 3, 2026
Related Tools
Open-source code LLM family by IBM for enterprise code generation.
High-performance open-weight MoE LLM with 671B total parameters.
Hybrid SSM-Transformer model by AI21 Labs combining Mamba with attention layers.
State-space model for language with linear-time sequence modeling.
Family of small language models by Hugging Face for on-device use.
Open-weight LLM by Meta in 8B and 70B sizes with strong general capabilities.