 Llama 3.1 70B Instruct |  WizardLM-2 8x22B | |
|---|---|---|
Model Provider The organization behind this AI's development | Meta | Microsoft |
Input Context Window Maximum input tokens this model can process at once | 131.1K tokens | 65.5K tokens |
Output Token Limit Maximum output tokens this model can generate at once | Not specified tokens | 8K tokens |
Release Date When this model first became publicly available | July 23, 2024 1 year ago July 23rd, 2024 | April 16, 2024 1 year ago April 16th, 2024 |
Llama 3.1 70B Instruct | WizardLM-2 8x22B | |
|---|---|---|
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 CallingStructured OutputReasoning ModeContent Moderation |
Open Source Model availability | Available on HuggingFace → | Available on HuggingFace → |
| Llama 3.1 70B Instruct | WizardLM-2 8x22B | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.40 per million tokens | $0.62 per million tokens |
Output Token Cost Cost per million outut tokens | $0.40 per million tokens | $0.62 per million tokens |
| Llama 3.1 70B Instruct | WizardLM-2 8x22B | |
|---|---|---|
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 3.1 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.WizardLM-2 8x22B by Microsoft is a text-based AI model. It can handle standard conversations with its 65.5K token context window. Reasonably priced at $0.62/M input and $0.62/M output tokens. Released April 16th, 2024.Compare your models with top performers across different categories
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