Meta: Llama 4 Maverick
meta-llama/llama-4-maverick
Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward pass (400B total). It supports multilingual text and image input, and produces multilingual text and code output across 12 supported languages. Optimized for vision-language tasks, Maverick is instruction-tuned for assistant-like behavior, image reasoning, and general-purpose multimodal interaction. Maverick features early fusion for native multimodality and a 1 million token context window. It was trained on a curated mixture of public, licensed, and Meta-platform data, covering ~22 trillion tokens, with a knowledge cutoff in August 2024. Released on April 5, 2025 under the Llama 4 Community License, Maverick is suited for research and commercial applications requiring advanced multimodal understanding and high model throughput.
Model specifications
- Input
- text
- Output
- text
- Context
- 1,048,576 tokens
- Max output
- 16,400 tokens
- Input price
- $0.15 / 1M tokens
- Output price
- $0.6 / 1M tokens
- Released
- 2026-03-21
Capabilities
- Streaming
- Function calling
- Vision
- JSON mode
- Playground
Provider pricing, discounts and data privacy
Compare effective provider prices, published discounts, regions, retention policies, training use, compliance, and privacy links by service tier.
Standard service tier
1 available provider · tier input average $0.15 / 1M tokens · tier output average $0.6 / 1M tokens
DeepInfra
Tier: Standard · Region: US · Quantization: fp16
Pricing
- Input
- $0.15 / 1M tokens
- Output
- $0.6 / 1M tokens
No provider discount is currently published.
Data privacy and compliance
- Region
- US
- Zero data retention
- Yes
- Data retention
- Zero retention
- Used for training
- No
- Data collection
- Moderated
- No
- GDPR compliant
- Yes
- HIPAA compliant
- No
- SOC 2 certified
- Yes
- BYOK supported
- Yes
Privacy policy · Terms · Official website · Documentation · Status · Support
Frequently asked questions
- What is Meta: Llama 4 Maverick?
- Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward pass (400B total). It supports multilingual text and image input, and produces multilingual text and code output across 12 supported languages. Optimized for vision-language tasks, Maverick is instruction-tuned for assistant-like behavior, image reasoning, and general-purpose multimodal interaction. Maverick features early fusion for native multimodality and a 1 million token context window. It was trained on a curated mixture of public, licensed, and Meta-platform data, covering ~22 trillion tokens, with a knowledge cutoff in August 2024. Released on April 5, 2025 under the Llama 4 Community License, Maverick is suited for research and commercial applications requiring advanced multimodal understanding and high model throughput.
- How much does Meta: Llama 4 Maverick cost?
- Input costs start at $0.15 / 1M tokens and output costs start at $0.6 / 1M tokens. Provider-level prices vary by service tier.
- What is the context length of Meta: Llama 4 Maverick?
- Meta: Llama 4 Maverick supports a 1,048,576 token context window and up to 16,400 output tokens.
- What capabilities does Meta: Llama 4 Maverick support?
- Meta: Llama 4 Maverick supports Streaming, Function calling, Vision, JSON mode, Playground.
- Which providers offer Meta: Llama 4 Maverick?
- Meta: Llama 4 Maverick is available from DeepInfra.
- How do providers handle data privacy for Meta: Llama 4 Maverick?
- 1 of 1 providers report that customer data is not used for training, and 1 offer zero-data-retention routing. Retention, compliance, and privacy-policy links are listed per provider.