GPT-3.5 Turbo 16k vs GPT-4o-mini (2024-07-18) (Comparative Analysis)
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Comparative Analysis: GPT-3.5 Turbo 16k vs. GPT-4o-mini (2024-07-18)
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Overview
GPT-3.5 Turbo 16k was released 10 months before GPT-4o-mini (2024-07-18).
Model Provider The organization behind this AI's development | ||
Input Context Window Maximum input tokens this model can process at once | 16.4K tokens | 128K 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 | August 28, 2023 2 years ago August 28th, 2023 | July 18, 2024 2 years ago July 18th, 2024 |
Knowledge Cutoff Latest training-data date reported by the provider | September 30, 2021 | October 31, 2023 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
GPT-3.5 Turbo 16k | GPT-4o-mini (2024-07-18) | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📝Text🖼️Image📁File |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | GPT | GPT |
Key Features Advanced capabilities | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation | ✓Function Calling✓Structured OutputReasoning Mode✓Content Moderation |
Pricing
GPT-3.5 Turbo 16k is roughly 20.0x more expensive compared to GPT-4o-mini (2024-07-18) for input tokens and roughly 6.7x more expensive for output tokens.
Input Token Cost Cost per million input tokens | $3.00 per million tokens | $0.15 per million tokens |
Output Token Cost Cost per million output tokens | $4.00 per million tokens | $0.60 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | Not specified | $0.07 per million tokens |
At a Glance
Quick overview of what makes GPT-3.5 Turbo 16k and GPT-4o-mini (2024-07-18) unique.
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