LLM Reference

Llama 4 Models by AI at Meta

AI at MetaLlama 4 CommunityOpen weights
2 models2025Up to 10m ctxFrom $0.08/1M input

Last refreshed 2026-07-09. Next refresh: weekly.

Details

ResearcherAI at Meta
Commercial useCommercial use: conditional
Models2
Released2025
Max context10m

Capabilities

VisionAll models
MultimodalAll models
Structured OutputsAll models

Links

Website

About

Meta's Llama 4 family of large language models, featuring Mixture-of-Experts architectures for efficient inference.

Decision facts

Best fit
vision and multimodal workstructured outputs
Capability starting point
Llama 4 Scout 17B-16E Instruct with 10m context and structured outputs and multimodal inputs
Lowest tracked input
Llama 4 Scout 17B-16E Instruct · $0.08/1M · OpenRouter
Closest related family
Segment Anything

Current Variants

Use-when guidance is based on each model's tracked capabilities, context window, release date, and replacement status.

2 in view

Use when the workload needs 1m context, structured outputs, and multimodal inputs.

2025-041m contextstructured outputsmultimodal inputs

Use when the workload needs 10m context, structured outputs, and multimodal inputs.

2025-0410m contextstructured outputsmultimodal inputs

Release Timeline

1 release group
2025-04
2 current
Llama 4 Maverick 17B Instruct FP8
1m contextstructured outputsmultimodal inputs
Current
Llama 4 Scout 17B-16E Instruct
10m contextstructured outputsmultimodal inputs
Current

Specifications(2 models)

Llama 4 model specifications comparison
ModelReleasedContextParametersVisionMultimodalStructured Outputs
Llama 4 Maverick 17B Instruct FP82025-041m400B (17B active)YesYesYes
Llama 4 Scout 17B-16E Instruct2025-0410m109B (17B active)YesYesYes

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