 Mistral Nemo |  Phi-3 Mini 128K Instruct | |
|---|---|---|
Model Provider The organization behind this AI's development | Mistral | Microsoft |
Input Context Window Maximum input tokens this model can process at once | 32K tokens | 128K 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 | July 19, 2024 1 year ago July 19th, 2024 | May 26, 2024 1 year ago May 26th, 2024 |
Mistral Nemo | Phi-3 Mini 128K Instruct | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📝Text |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Mistral | Other |
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 → |
| Mistral Nemo | Phi-3 Mini 128K Instruct | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.0075 per million tokens | $0.10 per million tokens |
Output Token Cost Cost per million outut tokens | $0.05 per million tokens | $0.10 per million tokens |
| Mistral Nemo | Phi-3 Mini 128K 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. |
Mistral Nemo by Mistral can use external tools and APIs, generates structured data. It can handle standard conversations with its 32K token context window. Very affordable at $0.0075/M input and $0.05/M output tokens. Released July 19th, 2024.Phi-3 Mini 128K Instruct by Microsoft can use external tools and APIs. It can handle standard conversations with its 128K token context window. Very affordable at $0.10/M input and $0.10/M output tokens. Released May 26th, 2024.Compare your models with top performers across different categories
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