GPT-3.5 Turbo Instruct vs Llama Guard 4 12B (Comparative Analysis)
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Comparative Analysis: GPT-3.5 Turbo Instruct vs. Llama Guard 4 12B
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Overview
GPT-3.5 Turbo Instruct was released 1 year before Llama Guard 4 12B.
Model Provider The organization behind this AI's development | ||
Input Context Window Maximum input tokens this model can process at once | 4.1K tokens | 1M tokens |
Output Token Limit Maximum output tokens this model can generate at once | 4.1K tokens | 16.4K tokens |
Release Date When this model first became publicly available | September 28, 2023 2 years ago September 28th, 2023 | April 30, 2025 1 year ago April 30th, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | September 30, 2021 | August 31, 2024 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
GPT-3.5 Turbo Instruct | Llama Guard 4 12B | |
|---|---|---|
Input Types Supported input formats | 📝Text | 🖼️Image📝Text |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | GPT | Other |
Key Features Advanced capabilities | Function Calling✓Structured OutputReasoning Mode✓Content Moderation | Function Calling✓Structured OutputReasoning ModeContent Moderation |
Open Source Model availability | Proprietary | Available on HuggingFace → |
Pricing
GPT-3.5 Turbo Instruct is roughly 8.3x more expensive compared to Llama Guard 4 12B for input tokens and roughly 11.1x more expensive for output tokens.
Input Token Cost Cost per million input tokens | $1.50 per million tokens | $0.18 per million tokens |
Output Token Cost Cost per million output tokens | $2.00 per million tokens | $0.18 per million tokens |
At a Glance
Quick overview of what makes GPT-3.5 Turbo Instruct and Llama Guard 4 12B unique.
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