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 interact
Context window
This model accepts 1.0M tokens in one request (~786K words of text).
What fits in one request
- FitsShort documentAbout 1,500 words of text
- FitsLong documentAbout 37K words of text
- FitsSmall codebaseAbout 150K words of text
- FitsFull novelAbout 375K words of text
Specifications
Context size, pricing, and release info in one place.
- Context window
- 1,048,576 tokens (1.0M)
- Max output tokens
- 16,384 tokens (16K)
- Speed tier
- balanced
- Provider
- Meta
- Model family
- Llama 4
- Release date
- Apr 2025
Capabilities
See which features this model supports, such as vision, tools, and streaming.
- Vision
- Accepts image inputs alongside text
- Supported
- Tool use
- Can call external tools and APIs
- Supported
- Function calling
- Structured function call interface
- Supported
- Streaming
- Returns tokens as they are generated
- Supported
- Extended thinking
- Shows its chain-of-thought reasoning
- Not supported
- Web search
- Can browse the web during a request
- Not supported
- Batch API
- Process many requests asynchronously
- Not supported
- Prompt caching
- Reuse repeated prompt prefixes cheaply
- Not supported
Best for
Jump to a guide or ranking that matches each workload.
Compare Llama 4 Maverick
Open a side-by-side comparison with one click.
- Llama 4 Maverick vs Codellama 34b Instruct
Llama 4 Maverick has 25500% larger context window
- Llama 4 Maverick vs Codellama 70b Instruct
Llama 4 Maverick has 25500% larger context window
- Llama 4 Maverick vs Llama 2 13b Chat
Llama 4 Maverick has 25500% larger context window
- Llama 4 Maverick vs Llama 2 70b Chat
Llama 4 Maverick has 25500% larger context window
- Llama 4 Maverick vs Amazon Titan Text Express
Llama 4 Maverick has 2396% larger context window
- Llama 4 Maverick vs Amazon Titan Text Lite
Llama 4 Maverick has 2396% larger context window
Frequently asked questions
Short answers about context size and how this model behaves.
More from Meta
Other models by Meta in our catalog.
Powered by Mem0
Use a smaller model.
Get better results.
Mem0 gives your AI long-term memory so you stop re-sending context on every call. That means you can use a smaller, faster, cheaper model — and still get better answers.
Example: a multi-turn chat session
80% less to send — works with any model