GPT-4o-mini (2024-07-18) vs Rocinante 12B (Comparative Analysis)
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Comparative Analysis: GPT-4o-mini (2024-07-18) vs. Rocinante 12B
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Overview
GPT-4o-mini (2024-07-18) was released 2 months before Rocinante 12B.
Model Provider The organization behind this AI's development | ||
Input Context Window Maximum input tokens this model can process at once | 128K tokens | 65.5K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 16.4K tokens | 65.5K tokens |
Release Date When this model first became publicly available | July 18, 2024 2 years ago July 18th, 2024 | September 30, 2024 1 year ago September 30th, 2024 |
Knowledge Cutoff Latest training-data date reported by the provider | October 31, 2023 | April 30, 2024 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
GPT-4o-mini (2024-07-18) | Rocinante 12B | |
|---|---|---|
Input Types Supported input formats | 📝Text🖼️Image📁File | 📝Text |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | GPT | Qwen |
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-4o-mini (2024-07-18) is roughly 0.6x less expensive compared to Rocinante 12B for input tokens and roughly 1.2x more expensive for output tokens.
Input Token Cost Cost per million input tokens | $0.15 per million tokens | $0.25 per million tokens |
Output Token Cost Cost per million output tokens | $0.60 per million tokens | $0.50 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | $0.07 per million tokens | Not specified |
At a Glance
Quick overview of what makes GPT-4o-mini (2024-07-18) and Rocinante 12B unique.
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