Llama 3.1 Euryale 70B v2.2 vs Mistral Nemo (Comparative Analysis)
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Comparative Analysis: Llama 3.1 Euryale 70B v2.2 vs. Mistral Nemo
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Overview
Mistral Nemo was released 1 month 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 | 131.1K tokens | 131.1K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 16.4K tokens | 16.4K tokens |
Release Date When this model first became publicly available | August 28, 2024 1 year ago August 28th, 2024 | July 19, 2024 2 years ago July 19th, 2024 |
Knowledge Cutoff Latest training-data date reported by the provider | December 31, 2023 | April 30, 2024 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
Llama 3.1 Euryale 70B v2.2 | Mistral Nemo | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📝Text |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Llama3 | Mistral |
Key Features Advanced capabilities | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation |
Open Source Model availability | Available on HuggingFace → | Available on HuggingFace → |
Pricing
Llama 3.1 Euryale 70B v2.2 is roughly 42.5x more expensive compared to Mistral Nemo for input tokens and roughly 28.3x more expensive for output tokens.
Input Token Cost Cost per million input tokens | $0.85 per million tokens | $0.02 per million tokens |
Output Token Cost Cost per million output tokens | $0.85 per million tokens | $0.03 per million tokens |
At a Glance
Quick overview of what makes Llama 3.1 Euryale 70B v2.2 and Mistral Nemo unique.
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