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.
 Llama 3.1 70B Instruct |  Mistral Large | |
|---|---|---|
Model Provider The organization behind this AI's development | Meta | Mistral |
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 1 year ago July 23rd, 2024 | February 26, 2024 2 years ago February 26th, 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.
| Llama 3.1 70B Instruct | Mistral Large | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.40 per million tokens | $2.00 per million tokens |
Output Token Cost Cost per million outut tokens | $0.40 per million tokens | $6.00 per million tokens |
Benchmarks
Compare relevant benchmarks between Llama 3.1 70B Instruct and Mistral Large.
| Llama 3.1 70B Instruct | Mistral Large | |
|---|---|---|
MMLU Measures knowledge across 57 subjects like law, math, history, and science | Benchmark not available. | Benchmark not available. |
MMMU Measures understanding of combined text and images across various domains | Benchmark not available. | Benchmark not available. |
HellaSwag Measures common sense reasoning by having models complete sentences about everyday situations | Benchmark not available. | Benchmark not available. |
At a Glance
Quick overview of what makes Llama 3.1 70B Instruct and Mistral Large unique.
Llama 3.1 70B Instruct by Meta can use external tools and APIs, generates structured data. It can handle standard conversations with its 131.1K token context window. Very affordable at $0.40/M input and $0.40/M output tokens. Released July 23rd, 2024.Mistral Large by Mistral can use external tools and APIs, generates structured data. It can handle standard conversations with its 128K token context window. Reasonably priced at $2.00/M input and $6.00/M output tokens. Released February 26th, 2024.Explore More Comparisons
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Compare Mistral Large with:
🚀Programming
Best models for coding and development
🎨Creative & Roleplay
Models optimized for creative writing
📢Marketing
Content creation and marketing tasks
💻Technology
Technical analysis and explanations
🔬Science
Scientific research and analysis
🌐Translation
Multilingual translation tasks