Llama 3.1 70B Instruct vs Mistral Large (Comparative Analysis)
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Comparative Analysis: Llama 3.1 70B Instruct vs. Mistral Large
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Overview
Mistral Large was released 4 months before Llama 3.1 70B Instruct.
Model Provider The organization behind this AI's development | ||
Input Context Window Maximum input tokens this model can process at once | 131.1K tokens | 128K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 16.4K tokens | Not specified tokens |
Release Date When this model first became publicly available | July 23, 2024 2 years ago July 23rd, 2024 | February 26, 2024 2 years ago February 26th, 2024 |
Knowledge Cutoff Latest training-data date reported by the provider | December 31, 2023 | November 30, 2024 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
Llama 3.1 70B Instruct | Mistral Large | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📝Text📁File |
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 → | Proprietary |
Pricing
Llama 3.1 70B Instruct is roughly 0.2x less expensive compared to Mistral Large for input tokens and roughly 0.07x less expensive for output tokens.
Input Token Cost Cost per million input tokens | $0.40 per million tokens | $2.00 per million tokens |
Output Token Cost Cost per million output tokens | $0.40 per million tokens | $6.00 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | Not specified | $0.20 per million tokens |
At a Glance
Quick overview of what makes Llama 3.1 70B Instruct and Mistral Large unique.
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