MiniMax-01 vs Mistral Small 3.1 24B (Comparative Analysis)
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Comparative Analysis: MiniMax-01 vs. Mistral Small 3.1 24B
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Overview
MiniMax-01 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 | 1M tokens | 128K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 1M tokens | 128K tokens |
Release Date When this model first became publicly available | January 15, 2025 1 year ago January 15th, 2025 | March 17, 2025 1 year ago March 17th, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | March 31, 2024 | October 31, 2023 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
MiniMax-01 | Mistral Small 3.1 24B | |
|---|---|---|
Input Types Supported input formats | 📝Text🖼️Image | 📝Text🖼️Image |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Other | Mistral |
Key Features Advanced capabilities | Function CallingStructured OutputReasoning ModeContent Moderation | Function CallingStructured OutputReasoning ModeContent Moderation |
Open Source Model availability | Available on HuggingFace → | Available on HuggingFace → |
Pricing
MiniMax-01 is roughly 0.6x less expensive compared to Mistral Small 3.1 24B for input tokens and roughly 2.0x more expensive for output tokens.
Input Token Cost Cost per million input tokens | $0.20 per million tokens | $0.35 per million tokens |
Output Token Cost Cost per million output tokens | $1.10 per million tokens | $0.55 per million tokens |
At a Glance
Quick overview of what makes MiniMax-01 and Mistral Small 3.1 24B unique.
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