OpenRouter-style model index with deep metadata: pricing, context windows, architecture, and parameters.
Llama Guard 3 is a Llama-3.1-8B pretrained model, fine-tuned for content safety classification.
Meta's latest class of model (Llama 3) launched with a variety of sizes & flavors.
Meta's latest class of model (Llama 3) launched with a variety of sizes & flavors.
Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors.
The highly anticipated 400B class of Llama3 is here! Clocking in at 128k context with impressive eval scores, the Meta AI team continues to push the frontier of open-source LLMs.
Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors.
Llama 3.2 11B Vision is a multimodal model with 11 billion parameters, designed to handle tasks combining visual and textual data.
Llama 3.2 3B is a 3-billion-parameter multilingual large language model, optimized for advanced natural language processing tasks like dialogue generation, reasoning, and summarization.
The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out).
The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out).
Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion...
Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B.
Llama Guard 4 is a Llama 4 Scout-derived multimodal pretrained model, fine-tuned for content safety classification.
Microsoft Research Phi-4 is designed to perform well in complex reasoning tasks and can operate efficiently in situations with limited memory or where quick responses are needed.
WizardLM-2 8x22B is Microsoft AI's most advanced Wizard model.