Mistral Small 3.1 24B vs Phi 4 (Comparative Analysis)
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Comparative Analysis: Mistral Small 3.1 24B vs. Phi 4
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Overview
Phi 4 was released 2 months before Mistral Small 3.1 24B.
Model Provider The organization behind this AI's development | ||
Input Context Window Maximum input tokens this model can process at once | 128K tokens | 16.4K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 128K tokens | 16.4K tokens |
Release Date When this model first became publicly available | March 17, 2025 1 year ago March 17th, 2025 | January 10, 2025 1 year ago January 10th, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | October 31, 2023 | June 30, 2024 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
Mistral Small 3.1 24B | Phi 4 | |
|---|---|---|
Input Types Supported input formats | 📝Text🖼️Image | 📝Text |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Mistral | Other |
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 → |
Pricing
Mistral Small 3.1 24B is roughly 5.0x more expensive compared to Phi 4 for input tokens and roughly 3.9x more expensive for output tokens.
Input Token Cost Cost per million input tokens | $0.35 per million tokens | $0.07 per million tokens |
Output Token Cost Cost per million output tokens | $0.55 per million tokens | $0.14 per million tokens |
At a Glance
Quick overview of what makes Mistral Small 3.1 24B and Phi 4 unique.
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