Comprehensive side-by-side LLM comparison
Llama 4 Scout leads with 5.3% higher average benchmark score. Llama 4 Scout offers 19.7M more tokens in context window than Ministral 8B 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
Ministral 8B Instruct is a language model developed by Mistral AI. It achieves strong performance with an average score of 63.3% across 11 benchmarks. It excels particularly in MT-Bench (83.0%), Winogrande (75.3%), ARC-C (71.9%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Mistral AI's latest advancement in AI technology.
5 months newer
Ministral 8B Instruct
Mistral AI
2024-10-16
Llama 4 Scout
Meta
2025-04-05
Cost per million tokens (USD)
Llama 4 Scout
Ministral 8B Instruct
Context window and performance specifications
Average performance across 21 common benchmarks
Llama 4 Scout
Ministral 8B Instruct
Available providers and their performance metrics
Llama 4 Scout
DeepInfra
Fireworks
Groq
Lambda
Novita
Llama 4 Scout
Ministral 8B Instruct
Llama 4 Scout
Ministral 8B Instruct
Together
Ministral 8B Instruct
Mistral AI