Comprehensive side-by-side LLM comparison
Llama 4 Scout leads with 23.1% higher average benchmark score. Llama 4 Scout offers 19.7M more tokens in context window than Mistral Large 2. Llama 4 Scout is $7.62 cheaper per million tokens. 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 Large 2 is a language model developed by Mistral AI. This model demonstrates exceptional performance with an average score of 87.6% across 5 benchmarks. It excels particularly in GSM8k (93.0%), HumanEval (92.0%), MT-Bench (86.3%). It supports a 256K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents Mistral AI's latest advancement in AI technology.
8 months newer
Mistral Large 2
Mistral AI
2024-07-24
Llama 4 Scout
Meta
2025-04-05
Cost per million tokens (USD)
Llama 4 Scout
Mistral Large 2
Context window and performance specifications
Average performance across 16 common benchmarks
Llama 4 Scout
Mistral Large 2
Available providers and their performance metrics
Llama 4 Scout
DeepInfra
Fireworks
Groq
Lambda
Novita
Llama 4 Scout
Mistral Large 2
Llama 4 Scout
Mistral Large 2
Together
Mistral Large 2
Mistral AI