Command R (08-2024) vs Llama 3.1 Euryale 70B v2.2 (Comparative Analysis)
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Comparative Analysis: Command R (08-2024) vs. Llama 3.1 Euryale 70B v2.2
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Overview
Llama 3.1 Euryale 70B v2.2 was released 2 days before Command R (08-2024).
Model Provider The organization behind this AI's development | ||
Input Context Window Maximum input tokens this model can process at once | 128K tokens | 131.1K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 4K tokens | 16.4K tokens |
Release Date When this model first became publicly available | August 30, 2024 1 year ago August 30th, 2024 | August 28, 2024 1 year ago August 28th, 2024 |
Knowledge Cutoff Latest training-data date reported by the provider | March 31, 2024 | December 31, 2023 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
Command R (08-2024) | 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 | Cohere | Llama3 |
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
Command R (08-2024) is roughly 0.2x less expensive compared to Llama 3.1 Euryale 70B v2.2 for input tokens and roughly 0.7x less expensive for output tokens.
Input Token Cost Cost per million input tokens | $0.15 per million tokens | $0.85 per million tokens |
Output Token Cost Cost per million output tokens | $0.60 per million tokens | $0.85 per million tokens |
At a Glance
Quick overview of what makes Command R (08-2024) and Llama 3.1 Euryale 70B v2.2 unique.
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