---
title: "Llama 4 Maverick — LLM-TEST.com"
url: /models/llama-4-maverick/
canonical_url: https://llm-test.com/models/llama-4-maverick/
language: en
type: model
summary: "Meta's open-weight mixture-of-experts flagship, pairing native multimodality with a very low served price across third-party inference providers."
last_updated: "2026-11-05"
---

# Llama 4 Maverick

_Meta · Flagship · open weights_

Meta's open-weight mixture-of-experts flagship, pairing native multimodality with a very low served price across third-party inference providers.

## At a glance

- Released: Feb 10, 2026
- Provider: Meta
- Context window: 1,000,000 tokens
- Max output: 16,000 tokens
- Modalities: Text + image → text
- Knowledge cutoff: August 2025
- API model ID: `llama-4-maverick`
- License: Open weights (Llama 4 Community License)

## Pricing

- Standard: $0.20 input / $0.80 output per 1M tokens (aggregator estimate)
- Example: a 1,500-token prompt + 650-token answer ≈ $0.0008 (standard)

## What's new vs Llama 3.3 70B (December 2024)

- Mixture-of-experts design lifts quality while keeping inference cheap
- Native image understanding and much longer context
- Larger total parameter footprint makes self-hosting heavier

## Best use cases

- **Self-hosted assistants** — Runs on your own infrastructure for data-sensitive chat and RAG.
- **Fine-tuning base** — Serves as an open foundation for domain-specific adaptation.
- **Multimodal apps** — Handles mixed text-and-image inputs without a proprietary API.

## Strengths

- Open weights
- Cheap to serve
- Strong multimodal and long context

## Limitations

- Large footprint to host well
- Community License is not fully unrestricted

## Where to get access

- Consumer app: Meta AI (meta.ai, WhatsApp, Instagram, Messenger) — https://www.meta.ai
- API: llama.com (download the weights) — https://llama.com
- Also available: hosted by Together, Fireworks, Groq, AWS Bedrock and others
- Docs: https://llama.meta.com/docs

Full comparison and live pricing: https://llm-test.com/ · directory: https://llm-test.com/models/
