 Devstral Small 2505 |  Llama 3.2 90B Vision Instruct | |
|---|---|---|
Model Provider The organization behind this AI's development | Mistral | Meta |
Input Context Window Maximum input tokens this model can process at once | 128K tokens | 32.8K tokens |
Output Token Limit Maximum output tokens this model can generate at once | Not specified tokens | 16.4K tokens |
Release Date When this model first became publicly available | May 21, 2025 8 months ago May 21st, 2025 | September 25, 2024 1 year ago September 25th, 2024 |
Devstral Small 2505 | Llama 3.2 90B Vision Instruct | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📝Text🖼️Image |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Mistral | Llama3 |
Key Features Advanced capabilities | Function Calling✓Structured OutputReasoning ModeContent Moderation | Function Calling✓Structured OutputReasoning ModeContent Moderation |
Open Source Model availability | Available on HuggingFace → | Available on HuggingFace → |
| Devstral Small 2505 | Llama 3.2 90B Vision Instruct | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.06 per million tokens | $0.35 per million tokens |
Output Token Cost Cost per million outut tokens | $0.12 per million tokens | $0.40 per million tokens |
| Devstral Small 2505 | Llama 3.2 90B Vision 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. |
Devstral Small 2505 by Mistral generates structured data. It can handle standard conversations with its 128K token context window. Very affordable at $0.06/M input and $0.12/M output tokens. Released May 21st, 2025.Llama 3.2 90B Vision Instruct by Meta understands both text and images, generates structured data. It can handle standard conversations with its 32.8K token context window. Very affordable at $0.35/M input and $0.40/M output tokens. Released September 25th, 2024.Compare your models with top performers across different categories
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