Llama 4 Maverick

Meta chattool_usevision Long

API ID: meta-llama/llama-4-maverick-17b-128e-instruct

Input Price
$0.15
/1M tokens
Output Price
$0.60
/1M tokens

About Llama 4 Maverick

Llama 4 Maverick is Meta's flagship model from the Llama 4 generation, pushing open-source AI capability to new heights. The model delivers frontier-level performance on complex reasoning, coding, and multilingual tasks while remaining openly available. Llama 4 Maverick features an extended context window and demonstrates exceptional results on major benchmarks. It supports function calling and tool use for building sophisticated AI agents. The open weights enable enterprise deployment without API dependencies, appealing to organizations with data sovereignty requirements. For developers seeking maximum open-source capability, Llama 4 Maverick represents Meta's best offering. It's particularly valuable for research, enterprise applications, and scenarios demanding the highest capability with full deployment control.

๐Ÿ’ฐ
Price Ranking
#780 lowest price among 1240 Chat models

Model Specifications

Context Length
1.0M
Max Output
8k
Release Date
2025-04-05
Capabilities
chat tool_use vision
Input Modalities
textimage
Output Modalities
text

Best For

  • Image analysis, document understanding, visual Q&A
  • Conversations, content writing, general assistance

๐Ÿ’ฐ Real-World Cost Examples

Estimated monthly costs for common use cases

Personal AI Assistant
$0.25
/month
50 conversations/day, ~500 tokens each
Customer Service Bot
$7.65
/month
1000 tickets/day, ~800 tokens each

Meta Model Lineup

Compare all models from Meta to find the best fit

Model Input Output Context Capabilities
Llama 4 Maverick Current Free Free 1.0M chat tool_use vision
Llama 3 70B (Base) Free Free 8k chat
Llama 3 70B (Base) Free Free 8k chat
LlamaGuard 2 8B Free Free 8k chat
Llama 3 8B (Base) Free Free 8k chat
Llama 3 8B (Base) Free Free 8k chat

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๐Ÿš€ Quick Start

Get started with Llama 4 Maverick API

OpenAI-compatible SDK
from openai import OpenAI

client = OpenAI(
    base_url="https://api.provider.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="meta-llama/llama-4-maverick-17b-128e-instruct",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)