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Llama 3.2 3B Instruct vs Llama 4 Scout (Comparative Analysis)

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Comparative Analysis: Llama 3.2 3B Instruct vs. Llama 4 Scout
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Overview

Llama 3.2 3B Instruct was released 6 months before Llama 4 Scout.
Llama 3.2 3B InstructLlama 3.2 3B Instruct
Llama 4 ScoutLlama 4 Scout
Model Provider
The organization behind this AI's development
Meta logoMeta
Meta logoMeta
Input Context Window
Maximum input tokens this model can process at once
131.1K
tokens
1.3M
tokens
Output Token Limit
Maximum output tokens this model can generate at once
131.1K
tokens
16.4K
tokens
Release Date
When this model first became publicly available
September 25th, 2024
April 5th, 2025
Knowledge Cutoff
Latest training-data date reported by the provider
December 31, 2023
August 31, 2024

Capabilities & Features

Compare supported features, modalities, and advanced capabilities
Llama 3.2 3B Instruct
Llama 4 Scout
Input Types
Supported input formats
📝Text
📝Text🖼️Image
Output Types
Supported output formats
📝Text
📝Text
Tokenizer
Text encoding system
Llama3Llama4
Key Features
Advanced capabilities
Function CallingStructured OutputReasoning ModeContent Moderation
Function CallingStructured OutputReasoning ModeContent Moderation
Open Source
Model availability
Available on HuggingFace →Available on HuggingFace →

Pricing

Llama 3.2 3B Instruct is roughly 0.5x less expensive compared to Llama 4 Scout for input tokens and roughly 1.1x more expensive for output tokens.
Llama 3.2 3B InstructLlama 3.2 3B Instruct
Llama 4 ScoutLlama 4 Scout
Input Token Cost
Cost per million input tokens
$0.05
per million tokens
$0.10
per million tokens
Output Token Cost
Cost per million output tokens
$0.33
per million tokens
$0.30
per million tokens

Benchmarks

Compare relevant benchmarks between Llama 3.2 3B Instruct and Llama 4 Scout.
Llama 3.2 3B InstructLlama 3.2 3B Instruct
Llama 4 ScoutLlama 4 Scout
Intelligence Index
Overall model quality across independent evaluations
Benchmark not available.
10
(Artificial Analysis index; higher is better)
Coding Index
Programming performance across independent evaluations
Benchmark not available.
8.2
(Artificial Analysis index; higher is better)
Agentic Index
Ability to complete multi-step agentic tasks
Benchmark not available.
1.1
(Artificial Analysis index; higher is better)
Best Design Arena Score
Highest human-preference Elo score across design arenas
Benchmark not available.
929 Elo
(#105 in Data Viz (39.3% win rate))

At a Glance

Quick overview of what makes Llama 3.2 3B Instruct and Llama 4 Scout unique.
Meta logoLlama 3.2 3B Instruct by Meta generates structured data. It can handle standard conversations with its 131.1K token context window. Very affordable at $0.05/M input and $0.33/M output tokens. Released September 25th, 2024.
Meta logoLlama 4 Scout by Meta understands both text and images, can use external tools and APIs, generates structured data. It can handle standard conversations with its 1.3M token context window. Very affordable at $0.10/M input and $0.30/M output tokens. Released April 5th, 2025.

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