Comprehensive side-by-side LLM comparison
Llama 4 Maverick leads with 20.9% higher average benchmark score. Llama 4 Maverick offers 1.7M more tokens in context window than Mistral NeMo Instruct. Both models have similar pricing. Llama 4 Maverick supports multimodal inputs. Llama 4 Maverick is available on 7 providers. Overall, Llama 4 Maverick is the stronger choice for coding tasks.
Meta
Llama 4 Maverick is a multimodal language model developed by Meta. It achieves strong performance with an average score of 71.8% across 13 benchmarks. It excels particularly in DocVQA (94.4%), MGSM (92.3%), ChartQA (90.0%). With a 2.0M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 7 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 NeMo Instruct is a language model developed by Mistral AI. It achieves strong performance with an average score of 64.3% across 8 benchmarks. It excels particularly in HellaSwag (83.5%), Winogrande (76.8%), TriviaQA (73.8%). It supports a 256K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Mistral AI's latest advancement in AI technology.
8 months newer
Mistral NeMo Instruct
Mistral AI
2024-07-18
Llama 4 Maverick
Meta
2025-04-05
Cost per million tokens (USD)
Llama 4 Maverick
Mistral NeMo Instruct
Context window and performance specifications
Average performance across 20 common benchmarks
Llama 4 Maverick
Mistral NeMo Instruct
Available providers and their performance metrics
Llama 4 Maverick
DeepInfra
Fireworks
Groq
Lambda
Novita
Llama 4 Maverick
Mistral NeMo Instruct
Llama 4 Maverick
Mistral NeMo Instruct
Sambanova
Together
Mistral NeMo Instruct
Mistral AI