AI Model

Meta: Llama 4 Maverick

Meta: Llama 4 Maverick logoMeta
Text Generation
Vision
About 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 interaction.

Maverick features early fusion for native multimodality and a 1 million token context window. It was trained on a curated mixture of public, licensed, and Meta-platform data, covering ~22 trillion tokens, with a knowledge cutoff in August 2024. Released on April 5, 2025 under the Llama 4 Community License, Maverick is suited for research and commercial applications requiring advanced multimodal understanding and high model throughput.

Specifications
Provider
Meta
Context Length
1,048,576 tokens
Input Types
text, image
Output Types
text
Category
Llama4
Added
4/5/2025

Benchmark Performance

How Llama 4 Maverick compares to its closest rivals across industry benchmarks

SWE-Bench Verified
Evaluates AI ability to resolve real GitHub issues from Python repositories

Metric: % Resolved

#21
gpt-oss-120b
26.0
#24
21.0
#25
Gemini 2.0 flash
13.5
#27
Qwen2.5-Coder 32B Instruct
9.0
Artificial Analysis Intelligence Index
Comprehensive comparison of AI models across intelligence, price, speed, and latency

Metric: Intelligence Index

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Nova 2.0 Lite
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Llama 3.3 Nemotron Super 49B
35.0
#105
Mistral Medium 3.1
35.0
#106
Nova 2.0 Omni
34.0

Frequently Asked Questions

Common questions about Llama 4 Maverick

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