 Llama 3 Euryale 70B v2.1 |  Mixtral 8x22B Instruct | |
|---|---|---|
Model Provider The organization behind this AI's development | Sao10K | Mistral |
Input Context Window Maximum input tokens this model can process at once | 8.2K tokens | 65.5K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 8.2K tokens | Not specified tokens |
Release Date When this model first became publicly available | June 18, 2024 1 year ago June 18th, 2024 | April 17, 2024 1 year ago April 17th, 2024 |
Llama 3 Euryale 70B v2.1 | Mixtral 8x22B Instruct | |
|---|---|---|
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 CallingStructured OutputReasoning ModeContent Moderation | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation |
Open Source Model availability | Available on HuggingFace → | Available on HuggingFace → |
| Llama 3 Euryale 70B v2.1 | Mixtral 8x22B Instruct | |
|---|---|---|
Input Token Cost Cost per million input tokens | $1.48 per million tokens | $2.00 per million tokens |
Output Token Cost Cost per million outut tokens | $1.48 per million tokens | $6.00 per million tokens |
| Llama 3 Euryale 70B v2.1 | Mixtral 8x22B Instruct | |
|---|---|---|
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. |
Llama 3 Euryale 70B v2.1 by Sao10K can use external tools and APIs. It can handle standard conversations with its 8.2K token context window. Reasonably priced at $1.48/M input and $1.48/M output tokens. Released June 18th, 2024.Mixtral 8x22B Instruct by Mistral can use external tools and APIs, generates structured data. It can handle standard conversations with its 65.5K token context window. Reasonably priced at $2.00/M input and $6.00/M output tokens. Released April 17th, 2024.Compare your models with top performers across different categories
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