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Llama 4

Meta’s Llama 4 family — open-weight multimodal models designed for research and commercial use under Meta’s community license.

Vision · Tool calling · Coding

Last reviewed: 24 July 2026

Overview

Meta’s Llama 4 family — open-weight multimodal models designed for research and commercial use under Meta’s community license.

Capabilities

Vision: Yes
Audio: No
Tool calling: Yes
Thinking: No
MCP: No
Coding: Yes
Structured output: Yes

Technical specifications

Provider: Meta
License: Llama Community License
Context window: 256K
Parameters: Family (Scout / Maverick-class)
Architecture: Mixture-of-Experts (select variants)
Release: 2025
Modalities: Text, Image
Vision: Yes
Audio: No
Tool calling: Yes
Thinking: No
MCP: No
Open weights: Yes
API: Yes
Pricing (input): Self-host or cloud hosts
Pricing (output): Self-host or cloud hosts

Supported modalities

Text · Image

Context window

256K (256,000 tokens)

Pricing

Input: Self-host or cloud hosts

Output: Self-host or cloud hosts

Weights free under license; inference cost is infra.

Availability

API: Yes

Chat UI: Yes

Open weights: Yes

Hugging Face, together.ai, Fireworks, Bedrock, and more.

Use cases

Open multimodal applications
Enterprise self-hosted assistants
Fine-tuning and research
On-prem RAG stacks

Strengths

Open weights with broad community tooling
Strong multimodal variants
Flexible deployment (vLLM, Ollama, clouds)

Limitations

License restrictions for very large user bases
Peak capability may trail top proprietary models

Related guides

Related benchmarks

Related research

Llama model cards & researchOriginal Paper

Related GitHub

Related tools

Related rankings

Companies

Meta

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