Llama-4-Behemoth-17B-128E-Instruct
Llama-4-Behemoth-17B-128E-Instruct is an AI model published by Facebook AI研究实验室, released on 2025-04-05, for Multimodal model, with 20000.0B parameters, and 1000K tokens context length, requiring about 4000GB storage, under the Llama4 License license.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Llama 4 Behemoth Instruct currently shows benchmark results led by MMLU Pro (47 / 124, score 82.20), GPQA Diamond (94 / 175, score 73.70), MATH-500 (25 / 44, score 95). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
Llama-4-Behemoth-17B-128E-Instruct is an AI model published by Facebook AI研究实验室, released on 2025-04-05, for Multimodal model, with 20000.0B parameters, and 1000K tokens context length, requiring about 4000GB storage, under the Llama4 License license.
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