Key Highlights
Llama 4 Maverick: 128 Mixture-of-Experts (MoE) architecture, and supports up to 1 million tokens per prompt.
Flexible Deployment: Accessible via API, local installation, web UI, or SDK.
Top API Providers: Novita AI, Deepinfra, and Lambda—each offering unique cost and deployment advantages.
Llama 4 Maverick is Meta’s latest open-source, large multimodal model, setting new industry benchmarks in scale, context length, and multilingual capabilities. Built with 400B parameters and a cutting-edge Mixture-of-Experts architecture, it delivers powerful text and image processing for real-world applications.
What is Llama 4 Maverick?
| Category | Details |
|---|---|
| Release Date | April 5, 2025 |
| Model Size | 400B parameters (17B active per token) |
| Open Source | Yes |
| Architecture | 128 Mixture-of-Experts (MoE) |
| Context Length | Up to 1M tokens (1,000,000 tokens) |
| Language Support | Pre-trained on 200 languages, including Arabic, English, French, German, Hindi, Indonesian, Italian, Portuguese, Spanish, Tagalog, Thai, and Vietnamese. |
| Multimodal Capability | Combines text and image inputs, supporting both textual and visual content processing. |
| Training Data | ~22 trillion tokens of multimodal data (some sourced from Instagram and Facebook). |
| Pre-Training | MetaP (Adaptive Expert Configuration with mid-training optimization). |
| Post-Training Steps | 1. SFT (Supervised Fine-Tuning on easy data). |
| 2. RL (Reinforcement Learning on hard data). | |
| 3. DPO (Direct Preference Optimization). |
Llama 4 Maverick Benchmark

API vs Other Methods
| Deployment Method | Advantages | Disadvantages |
|---|---|---|
| API Provider | – Instant use without setup; Elastic scaling to handle varying loads; Standardized interface for easy integration; Continuous updates and improvements | – Requires a stable internet connection; Usage costs may increase with heavy traffic |
| Local Deployment | – Data stays on-premises, ensuring privacy and security; Complete control over the environment and configurations | – Requires high-performance hardware; High maintenance costs and technical expertise needed |
| Web UI | – Zero-code experience, suitable for beginners or quick testing; No installation or configuration required | – Limited interaction and customization options; Challenging to integrate into larger systems |
| SDK / Third-party Library | – Local invocation enables offline use; High flexibility for customizations based on programming language/environment | – Limited to specific languages or environments; May require additional development effort for integration |
How to Choose an API Provider (5 metrics)

You can look up the details for these metrics on OpenRouter. For example, regarding Llama 4 Maverick, Novita AI is ranked first.

Top 3 API Providers of Llama 4 Maverick
1. Novita AI
Novita AI is an advanced AI cloud platform that enables developers to effortlessly deploy AI models via a simple API. It also provides an affordable and reliable GPU cloud for building and scaling AI solutions.

Why Should You Choose Novita AI?
1. Development Efficiency
- Effortless Deployment: Launch AI capabilities in minutes—no need for a dedicated AI team or complicated setup steps.
2. Cost Advantage
- Exclusive Optimization: Proprietary techniques reduce inference expenses by 30%–50% versus leading competitors, making advanced AI solutions more cost-effective.

How to Access Deepseek V3 0324 via Novita API?
Step 1: Start Your Free Trial
Begin your free trial to explore the capabilities of the selected model.

Step 2: Get Your API Key
To authenticate with the API, we will provide you with a new API key. Entering the “Settings“ page, you can copy the API key as indicated in the image.

Step 3: Install the API
Install API using the package manager specific to your programming language.

After installation, import the necessary libraries into your development environment. Initialize the API with your API key to start interacting with Novita AI LLM. This is an example of using chat completions API for python users.
from openai import OpenAI
client = OpenAI(
base_url="https://api.novita.ai/v3/openai",
api_key="<YOUR Novita AI API Key>",
)
model = "meta-llama/llama-4-maverick-17b-128e-instruct-fp8"
stream = True # or False
max_tokens = 2048
system_content = """Be a helpful assistant"""
temperature = 1
top_p = 1
min_p = 0
top_k = 50
presence_penalty = 0
frequency_penalty = 0
repetition_penalty = 1
response_format = { "type": "text" }
chat_completion_res = client.chat.completions.create(
model=model,
messages=[
{
"role": "system",
"content": system_content,
},
{
"role": "user",
"content": "Hi there!",
}
],
stream=stream,
max_tokens=max_tokens,
temperature=temperature,
top_p=top_p,
presence_penalty=presence_penalty,
frequency_penalty=frequency_penalty,
response_format=response_format,
extra_body={
"top_k": top_k,
"repetition_penalty": repetition_penalty,
"min_p": min_p
}
)
if stream:
for chunk in chat_completion_res:
print(chunk.choices[0].delta.content or "", end="")
else:
print(chat_completion_res.choices[0].message.content)
2.Deepinfra
Deepinfra provides seamless access to leading AI models through a simple API. Enjoy cost-effective, pay-as-you-go pricing, scalable solutions, and robust, production-ready infrastructure you can rely on.

Why Should you Choose Deepinfra?

How to Access Llama 4 Maverick through it?
# Assume openai>=1.0.0
from openai import OpenAI
# Create an OpenAI client with your deepinfra token and endpoint
openai = OpenAI(
api_key="$DEEPINFRA_TOKEN",
base_url="https://api.deepinfra.com/v1/openai",
)
chat_completion = openai.chat.completions.create(
model="meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8",
messages=[{"role": "user", "content": "Hello"}],
)
print(chat_completion.choices[0].message.content)
print(chat_completion.usage.prompt_tokens, chat_completion.usage.completion_tokens)
3.Lambda
Lambda is the #1 GPU cloud platform for ML and AI teams training, fine-tuning, and running inference on AI models. Engineers can easily, securely, and cost-effectively build, test, and deploy AI products at scale, all on robust infrastructure designed for high performance and reliability.

Why Should you Choose Lambda?

Llama 4 Maverick stands out as the most advanced open-source multimodal AI to date. Whether you need ultra-long context, robust multilingual support, or scalable deployment via top cloud providers like Novita AI and Deepinfra, Llama 4 Maverick is ready for production use across diverse scenarios.
Frequently Asked Questions
Llama 4 Maverick is Meta’s flagship open-source AI model, featuring 400B parameters, multimodal processing (text + images), and support for 200 languages.
You can access Llama 4 Maverick via API providers like Novita AI (ranked #1 on openrouter), Deepinfra, and Lambda, or deploy it locally for maximum privacy and control.
You can find detailed metrics and rankings for Llama 4 Maverick API providers on OpenRouter, with Novita AI currently holding the top position.
Novita AI is an AI cloud platform that offers developers an easy way to deploy AI models using our simple API, while also providing the affordable and reliable GPU cloud for building and scaling.
Recommended Reading
- Llama 3.3 70B: Features, Access Guide & Model Comparison
- How to Access Deepseek V3 0324 in 4 Ways?
- Running DeepSeek V3 Locally: A Developer’s Guide
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