Comprehensive side-by-side LLM comparison
. Both models have their strengths depending on your specific coding needs.
Meta AI
Llama 4 Behemoth is a research-scale Mixture-of-Experts language model with approximately 2 trillion total parameters (288 billion active per inference), developed by Meta as a teacher model for the Llama 4 family. Available only in limited preview, it serves as the knowledge distillation source for Llama 4 Scout and Maverick. Behemoth targets research applications requiring the largest-scale open-weight model architecture from the Llama 4 generation.
Mistral AI
Mistral Small 3.1 is a 24-billion-parameter multimodal model from Mistral AI, released in March 2025 as an update to Mistral Small 3 that added vision understanding and expanded the context window from 32K to 128K tokens. The model accepts both text and image inputs, broadening its applicability to document analysis, image-grounded reasoning, and mixed-media workflows without requiring an increase in parameter count. Released under Apache 2.0, it continued Mistral's pattern of incremental capability gains delivered in compact, practically deployable open-weight packages.

Mistral Small 3.1 24B Instruct
Mistral AI
2025-03-17
Context window and performance specifications
Available providers and their performance metrics
Llama 4 Behemoth
Together AI
Mistral Small 3.1 24B Instruct
Llama 4 Behemoth
Mistral Small 3.1 24B Instruct
Llama 4 Behemoth
Mistral Small 3.1 24B Instruct