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.
Model Provider The organization behind this AI's development | ||
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 25, 2024 1 year ago September 25th, 2024 | April 5, 2025 1 year ago 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 | Llama3 | Llama4 |
Key Features Advanced capabilities | Function Calling✓Structured OutputReasoning ModeContent Moderation | ✓Function Calling✓Structured 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.
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.
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.
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