GPT-3.5 Turbo 16k vs Llama 3.1 Euryale 70B v2.2 (Comparative Analysis)
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Comparative Analysis: GPT-3.5 Turbo 16k vs. Llama 3.1 Euryale 70B v2.2
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Overview
GPT-3.5 Turbo 16k was released 1 year before Llama 3.1 Euryale 70B v2.2.
Model Provider The organization behind this AI's development | ||
Input Context Window Maximum input tokens this model can process at once | 16.4K tokens | 131.1K 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 | August 28, 2024 1 year ago August 28th, 2024 |
Knowledge Cutoff Latest training-data date reported by the provider | September 30, 2021 | December 31, 2023 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
GPT-3.5 Turbo 16k | Llama 3.1 Euryale 70B v2.2 | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📝Text |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | GPT | Llama3 |
Key Features Advanced capabilities | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation |
Open Source Model availability | Proprietary | Available on HuggingFace → |
Pricing
GPT-3.5 Turbo 16k is roughly 3.5x more expensive compared to Llama 3.1 Euryale 70B v2.2 for input tokens and roughly 4.7x more expensive for output tokens.
Input Token Cost Cost per million input tokens | $3.00 per million tokens | $0.85 per million tokens |
Output Token Cost Cost per million output tokens | $4.00 per million tokens | $0.85 per million tokens |
At a Glance
Quick overview of what makes GPT-3.5 Turbo 16k and Llama 3.1 Euryale 70B v2.2 unique.
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Compare Llama 3.1 Euryale 70B v2.2 with:
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