Llama-4-Scout-17B-16E-Instruct
Llama-4-Scout-17B-16E-Instruct is an AI model published by Facebook AI Research Lab, released on 2025-04-05, for Multimodal model, with 109B parameters, and 1000K context length, requiring about 218GB storage, with a 781.20 score on Creative Writing.
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 Scout Instruct currently shows benchmark results led by MMLU Pro (89 / 176, score 74.30), LiveCodeBench (209 / 250, score 32.80), GPQA Diamond (392 / 462, score 57.20). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
Writing and Creative Capabilities
1 evaluationsPublisher
Model Overview
Llama-4-Scout-17B-16E-Instruct is an AI model published by Facebook AI Research Lab, released on 2025-04-05, for Multimodal model, with 109B parameters, and 1000K context length, requiring about 218GB storage, with a 781.20 score on Creative Writing.
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