LLaMA 4 Scout is a 17-billion parameter model leveraging a Mixture-of-Experts architecture with 16 active experts, positioning it as the top multimodal model in its category. It consistently outperforms competitors like Gemma 3, Gemini 2.0 Flash-Lite, and Mistral 3.1 across diverse benchmark tasks. Despite its performance, LLaMA 4 Scout is remarkably efficient—capable of running on a single NVIDIA H100 GPU with Int4 quantization. It also boasts an industry-leading 10 million token context window and is natively multimodal, seamlessly processing text, images, and video inputs for advanced real-world applications.
Mistral Large 2, developed by Mistral, offers a 128K-token context window and is priced at $3.00 per million input tokens and $9.00 per million output tokens. Released on July 24, 2024, the model scored 84.0 on the MMLU benchmark in a 5-shot evaluation, demonstrating strong performance in diverse tasks.
| Llama 4 Scout | Mistral Large 2 | |
|---|---|---|
Provider | ||
Web Site | ||
Release Date | Apr 05, 2025 2 weeks ago | Jun 24, 2024 9 months ago |
Modalities | text images video | text |
API Providers | Meta AI, Hugging Face, Fireworks, Together, DeepInfra | Azure AI, AWS Bedrock, Google AI Studio, Vertex AI, Snowflake Cortex |
Knowledge Cut-off Date | 2025-04 | Unknown |
Open Source | Yes (Source) | Yes |
Pricing Input | Not available | $3.00 per million tokens |
Pricing Output | Not available | $9.00 per million tokens |
MMLU | Not available | 84% 5-shot Source |
MMLU Pro | 74.3% Reasoning & Knowledge Source | 50.69% Source |
MMMU | 69.4% Image Reasoning Source | Not available |
HellaSwag | Not available | Not available |
HumanEval | Not available | Not available |
MATH | Not available | 1.13% Source |
GPQA | 57.2% Diamond Source | 24.94% |
IFEval | Not available | 84.01% |
Mobile Application | - | - |
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