Comprehensive side-by-side LLM comparison
Llama 4 Scout leads with 13.8% higher average benchmark score. Llama 4 Scout offers 19.9M more tokens in context window than Mistral Small 3 24B Instruct. Both models have similar pricing. Llama 4 Scout supports multimodal inputs. Llama 4 Scout is available on 6 providers. Overall, Llama 4 Scout is the stronger choice for coding tasks.
Meta
Llama 4 Scout is a multimodal language model developed by Meta. It achieves strong performance with an average score of 67.3% across 12 benchmarks. It excels particularly in DocVQA (94.4%), MGSM (90.6%), ChartQA (88.8%). With a 20.0M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 6 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Meta's latest advancement in AI technology.
Mistral AI
Mistral Small 3 24B Instruct is a language model developed by Mistral AI. It achieves strong performance with an average score of 71.7% across 8 benchmarks. It excels particularly in Arena Hard (87.6%), HumanEval (84.8%), MT-Bench (83.5%). The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Mistral AI's latest advancement in AI technology.
2 months newer
Mistral Small 3 24B Instruct
Mistral AI
2025-01-30
Llama 4 Scout
Meta
2025-04-05
Cost per million tokens (USD)
Llama 4 Scout
Mistral Small 3 24B Instruct
Context window and performance specifications
Average performance across 17 common benchmarks
Llama 4 Scout
Mistral Small 3 24B Instruct
Mistral Small 3 24B Instruct
2023-10-01
Available providers and their performance metrics
Llama 4 Scout
DeepInfra
Fireworks
Groq
Lambda
Novita
Llama 4 Scout
Mistral Small 3 24B Instruct
Llama 4 Scout
Mistral Small 3 24B Instruct
Together
Mistral Small 3 24B Instruct
DeepInfra
Mistral AI