
Llama 4 Scout — Benchmarks, Capabilities, and Use Cases
Llama 4 Scout is a open-weight AI model from Meta (17B/109B MoE (16 experts)), classified as Established tier with a 10M tokens context window. Explore benchmar...
Llama 3.3 70B is a proven AI model still widely deployed in production systems, developed by Meta and released in December 2024. As an open-weight model, its trained weights are publicly available — you can self-host it, fine-tune it on proprietary data, or run it on-premise without API dependencies. It supports a 128K-token context window, adequate for most documents and multi-turn applications.
Each score appears once, with its rank among tracked models and who measured it.
It handles general scientific Q&A at a solid level, though frontier models score 25+ percentage points higher on the hardest graduate-level problems.
Llama 3.3 70B is open-weight (70B dense parameters) — its trained weights are publicly available for download and self-deployment. Run it on your own GPU hardware or private cloud to ensure data never leaves your environment, eliminate per-token API costs at scale, or fine-tune the model on proprietary datasets.
Llama 3.3 70B is not available in FlowHunt. These models cover similar work and are ready to use:
Meta Platforms (formerly Facebook) is one of the world's largest technology companies, headquartered in Menlo Park, California, and best known for Facebook, Instagram, WhatsApp, and Threads. Through Meta AI (formerly FAIR), the company has become the most prolific publisher of open-weight large language models via the Llama family. The Llama 4 series — Maverick, Scout, and Behemoth — were released under permissive community licences and remain the most downloaded open-weight models on platforms like Hugging Face. Meta's AI strategy is distinct among major labs: rather than operating a commercial API, Meta releases models openly for research and commercial use, integrates generative AI features across its own applications, and has publicly advocated for open-weight releases as the most democratic approach to AI development.
ai.meta.com ↗Compare every tracked model on coding, agent and reasoning benchmarks, with each score marked verified or self-reported.

Llama 4 Scout is a open-weight AI model from Meta (17B/109B MoE (16 experts)), classified as Established tier with a 10M tokens context window. Explore benchmar...

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