GPT-4 Turbo vs GPT-4o (2024-08-06) (Comparative Analysis)
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Comparative Analysis: GPT-4 Turbo vs. GPT-4o (2024-08-06)
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Overview
GPT-4 Turbo was released 3 months before GPT-4o (2024-08-06).
Model Provider The organization behind this AI's development | ||
Input Context Window Maximum input tokens this model can process at once | 128K 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 | April 9, 2024 2 years ago April 9th, 2024 | August 6, 2024 1 year ago August 6th, 2024 |
Knowledge Cutoff Latest training-data date reported by the provider | December 31, 2023 | October 31, 2023 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
GPT-4 Turbo | GPT-4o (2024-08-06) | |
|---|---|---|
Input Types Supported input formats | 📝Text🖼️Image | 📝Text🖼️Image📁File |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | GPT | GPT |
Key Features Advanced capabilities | ✓Function Calling✓Structured OutputReasoning Mode✓Content Moderation | ✓Function Calling✓Structured OutputReasoning Mode✓Content Moderation |
Pricing
GPT-4 Turbo is roughly 4.0x more expensive compared to GPT-4o (2024-08-06) for input tokens and roughly 3.0x more expensive for output tokens.
Input Token Cost Cost per million input tokens | $10.00 per million tokens | $2.50 per million tokens |
Output Token Cost Cost per million output tokens | $30.00 per million tokens | $10.00 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | Not specified | $1.25 per million tokens |
Benchmarks
Compare relevant benchmarks between GPT-4 Turbo and GPT-4o (2024-08-06).
Coding Index Programming performance across independent evaluations | 21.5 (Artificial Analysis index; higher is better) | Benchmark not available. |
At a Glance
Quick overview of what makes GPT-4 Turbo and GPT-4o (2024-08-06) unique.
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