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Llama 4 Maverick (and Llama 4 Scout)

Meta · Multimodal model

Llama 4 Scout and Maverick, released April 5, 2025, are still the newest Llama models and remain widely used open-weight options. They are mixture-of-experts models that read text and images. Meta has since moved its main development to the Muse…

Legacy model Open weights
ReleasedApr 5, 2025
Context window1M tokens (Maverick); 10M tokens (Scout)
Input → outputtext, image → text
API price—
Consumer accessWeights downloadable from llama.com and Hugging Face under the Llama 4 Community License.

Best for

Existing self-hosted deployments that already run Llama and need a mixture-of-experts model with very long context.

Overview

Llama 4 Scout and Maverick, released April 5, 2025, are still the newest Llama models and remain widely used open-weight options. They are mixture-of-experts models that read text and images. Meta has since moved its main development to the Muse family.

Strengths and limits

  • Mixture-of-experts: 17B active parameters (400B total for Maverick, 109B for Scout)
  • Scout's 10M-token context window
  • Huge ecosystem of tooling and fine-tunes
  • Custom community license with conditions, not Apache 2.0
  • Outpaced by 2026 models; Meta's new work is under the Muse brand

Published benchmark scores

MMLU Pro (Maverick instruct)80.5 Source: huggingface.co
GPQA Diamond (Maverick instruct)69.8 Source: huggingface.co
LiveCodeBench 10/2024–02/2025 (Maverick instruct)43.4 Source: huggingface.co

Scores are as published by the source; settings (reasoning effort, tools, attempts) differ between labs, so compare with care. How to read benchmarks →