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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).
Command R (08-2024)Command R (08-2024)
Llama 3.1 Euryale 70B v2.2Llama 3.1 Euryale 70B v2.2
Model Provider
The organization behind this AI's development
Cohere logoCohere
Sao10K logoSao10K
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 30th, 2024
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
CohereLlama3
Key Features
Advanced capabilities
Function CallingStructured OutputReasoning ModeContent Moderation
Function CallingStructured OutputReasoning ModeContent Moderation
Open Source
Model availability
ProprietaryAvailable 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.
Command R (08-2024)Command R (08-2024)
Llama 3.1 Euryale 70B v2.2Llama 3.1 Euryale 70B v2.2
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.
Cohere logoCommand R (08-2024) by Cohere can use external tools and APIs, generates structured data. It can handle standard conversations with its 128K token context window. Very affordable at $0.15/M input and $0.60/M output tokens. Includes built-in content moderation for safer outputs. Released August 30th, 2024.
Sao10K logoLlama 3.1 Euryale 70B v2.2 by Sao10K can use external tools and APIs, generates structured data. It can handle standard conversations with its 131.1K token context window. Reasonably priced at $0.85/M input and $0.85/M output tokens. Released August 28th, 2024.

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