meta-llama/llama-4-maverick
1,048,576 context · $0.15/M input tokens · $0.60/M output tokens
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...
Pricing
Pay-per-use
No upfront costs, pay only for what you use
Try the model
API Usage
Use the following code examples to integrate with our API:
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://llm.wavespeed.ai/v1"
)
response = client.chat.completions.create(
model="meta-llama/llama-4-maverick",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)Model Introduction
Meta-Llama llama-4-maverick
meta-llama llama-4-maverick
Why It Looks Great
- Large Language Model architecture for efficient processing
- 1048576 context window for long document handling
- Competitive pricing at $0.2/$0.7 per million tokens
Key Features
- Context Window: 1048576 tokens
- Max Output: 16384 tokens
- Vision: Supported
- Function Calling: Supported
Specifications
| Specification | Value |
|---|---|
| Provider | Meta-Llama |
| Model Type | Large Language Model (LLM) |
| Architecture | N/A |
| Context Window | 1048576 tokens |
| Max Output | 16384 tokens |
| Input | Text |
| Output | Text |
| Vision | Supported |
| Function Calling | Supported |
Pricing
| Token Type | Cost per Million Tokens |
|---|---|
| Input | $0.2 |
| Output | $0.7 |
How to Use
- Write your prompt — describe the task, provide context, and specify desired output format.
- Submit — the model processes your request and returns the response.
API Integration
Base URL: https://llm.wavespeed.ai/v1 API Endpoint: chat/completions Model ID: meta-llama/llama-4-maverick
API Usage
Python SDK
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://llm.wavespeed.ai/v1"
)
response = client.chat.completions.create(
model="meta-llama/llama-4-maverick",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)cURL
curl https://llm.wavespeed.ai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "meta-llama/llama-4-maverick",
"messages": [{"role": "user", "content": "Hello!"}]
}'Notes
- Model: meta-llama/llama-4-maverick
- Provider: Meta-Llama
Info
Supported Functionality
API Access Guide
Llama 4 Maverick API
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...
Input
$0.15 /M
Output
$0.6 /M
Context
1049K
Max Output
16K
Vision
Supported
Tool Use
Supported
Try Llama 4 Maverick on WaveSpeedAI
Access Llama 4 Maverick through our unified API — OpenAI-compatible, no cold starts, transparent pricing.
Frequently Asked Questions about Llama 4 Maverick
How much does Llama 4 Maverick cost via the API?+
Pricing on WaveSpeedAI: $0.15 per million input tokens and $0.60 per million output tokens. Prompt caching and batch processing are billed separately and reduce effective cost on long, repetitive workloads.
What is the context window of Llama 4 Maverick?+
Llama 4 Maverick supports up to 1049K tokens of context with up to 16K tokens of output per request.
Is Llama 4 Maverick OpenAI-compatible?+
Yes. WaveSpeedAI exposes Llama 4 Maverick through an OpenAI-compatible endpoint at https://llm.wavespeed.ai/v1. Point the official OpenAI SDK at this base URL with your WaveSpeedAI API key — no other code changes required.
How do I get started with Llama 4 Maverick?+
Sign in to WaveSpeedAI, create an API key in Access Keys, then send a request to https://llm.wavespeed.ai/v1/chat/completions with model id set to the value shown above. New accounts receive free credits to evaluate Llama 4 Maverick before paying per token.