Llama-4-Maverick-17B-128E-Instruct
Llama-4-Maverick-17B-128E-Instruct is an AI model published by Facebook AI Research Lab, released on 2025-04-05, for Multimodal model, with 400B parameters, and 1000K context length, requiring about 218GB storage, with a 80.50 score on MMLU Pro.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Model basics
Open source & experience
Official resources
API details
Benchmark Results
Llama 4 Maverick Instruct currently shows benchmark results led by MMLU Pro (60 / 132, score 80.50), GPQA Diamond (121 / 187, score 69.80), LiveCodeBench (99 / 123, score 43.40). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
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Model Overview
Llama-4-Maverick-17B-128E-Instruct is an AI model published by Facebook AI Research Lab, released on 2025-04-05, for Multimodal model, with 400B parameters, and 1000K context length, requiring about 218GB storage, with a 80.50 score on MMLU Pro.
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