Comprehensive side-by-side LLM comparison
Llama 4 Scout leads with 11.7% higher average benchmark score. Llama 4 Scout offers 19.7M more tokens in context window than Mistral Small 3.1 24B Base. Both models have similar pricing. Llama 4 Scout is available on 6 providers. Overall, Llama 4 Scout is the stronger choice for coding tasks.
Meta
Llama 4 Scout was created as an exploratory variant in the Llama 4 family, designed to investigate new architectures and optimization strategies. Built as part of Meta's commitment to advancing open-source AI, it serves as a testbed for innovations that may inform future model releases.
Mistral AI
Mistral Small 3.1 24B Base represents an updated iteration of the 24B foundation model, developed with architectural refinements and improved training. Built to provide enhanced base capabilities for fine-tuning, it incorporates learnings from previous versions for better downstream performance.
19 days newer

Mistral Small 3.1 24B Base
Mistral AI
2025-03-17

Llama 4 Scout
Meta
2025-04-05
Cost per million tokens (USD)

Llama 4 Scout

Mistral Small 3.1 24B Base
Context window and performance specifications
Average performance across 4 common benchmarks

Llama 4 Scout

Mistral Small 3.1 24B Base
Available providers and their performance metrics

Llama 4 Scout
DeepInfra
Fireworks
Groq
Lambda
Novita

Llama 4 Scout

Mistral Small 3.1 24B Base

Llama 4 Scout

Mistral Small 3.1 24B Base
Together

Mistral Small 3.1 24B Base
Mistral AI