 Llama 3.2 3B Instruct |  Pixtral Large 2411 | |
|---|---|---|
Model Provider The organization behind this AI's development | Meta | Mistral |
Input Context Window Maximum input tokens this model can process at once | 80K tokens | 131.1K tokens |
Output Token Limit Maximum output tokens this model can generate at once | Not specified tokens | Not specified tokens |
Release Date When this model first became publicly available | September 25, 2024 1 year ago September 25th, 2024 | November 19, 2024 1 year ago November 19th, 2024 |
Llama 3.2 3B Instruct | Pixtral Large 2411 | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📝Text🖼️Image |
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 → | Proprietary |
| Llama 3.2 3B Instruct | Pixtral Large 2411 | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.05 per million tokens | $2.00 per million tokens |
Output Token Cost Cost per million outut tokens | $0.34 per million tokens | $6.00 per million tokens |
| Llama 3.2 3B Instruct | Pixtral Large 2411 | |
|---|---|---|
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 3.2 3B Instruct by Meta is a text-based AI model. It can handle standard conversations with its 80K token context window. Very affordable at $0.05/M input and $0.34/M output tokens. Released September 25th, 2024.Pixtral Large 2411 by Mistral understands both text and images, can use external tools and APIs, generates structured data. It can handle standard conversations with its 131.1K token context window. Reasonably priced at $2.00/M input and $6.00/M output tokens. Released November 19th, 2024.Compare your models with top performers across different categories
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