Meta: Llama 4 Maverick

by Meta

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...

Release Date
April 5, 2025
Context Window
1,048,576 tokens
Max Output
16,384 tokens
Input Modalities
textimage

Coding Performance

Coding benchmarks and performance metrics for development tasks

Coding Benchmarks

Artificial Analysis Coding Index

26.4%

Overall coding capability score

LiveCodeBench

39.7%

Real-world coding task performance

SciCode

33.1%

Scientific computing & algorithms

TerminalBench Hard

6.4%

CLI & terminal command generation

LCR (Long Context Reasoning)

46.0%

Understanding large codebases

IFBench

43.0%

Instruction following accuracy

Speed & Efficiency

Output Speed

128.6 tokens/sec

Median output tokens per second

Time to First Token

0.5s

Median responsiveness

Performance metrics from Artificial Analysis

Real-World Usage

Real-world usage statistics from the Kilo Code community

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Real-world metrics from the Kilo Code Leaderboard

Pricing

Cost per 1 million tokens

Input Tokens
$0.26
per 1M tokens
Output Tokens
$0.85
per 1M tokens
Blended (3:1 ratio)
$0.42
per 1M tokens

Example Cost

Analyzing a 10,000 line codebase (≈40k input tokens, 10k output tokens) costs approximately $0.0189

Coding Capabilities

Features and parameters relevant to coding tasks

Coding Features

Function Calling
Can call external functions/APIs
Tool Choice
Control over function selection
Structured Outputs
JSON schema validation
Reasoning Tokens
Extended thinking for complex problems

Pricing details from OpenRouter

Technical Details

Architecture and implementation specifications

Model ID
meta-llama/llama-4-maverick
Created
April 5, 2025
Tokenizer
Llama4
Input Modalities
text, image
Context Window
1,048,576 tokens
Max Completion Tokens
16,384 tokens
Input Price
$0.26 per 1M tokens
Output Price
$0.85 per 1M tokens
Content Moderation
Disabled

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