MiniMax-01 vs Nova Premier 1.0 (Comparative Analysis)
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Comparative Analysis: MiniMax-01 vs. Nova Premier 1.0
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Overview
MiniMax-01 was released 9 months before Nova Premier 1.0.
Model Provider The organization behind this AI's development | ||
Input Context Window Maximum input tokens this model can process at once | 1M tokens | 1M tokens |
Output Token Limit Maximum output tokens this model can generate at once | 1M tokens | 32K tokens |
Release Date When this model first became publicly available | January 15, 2025 1 year ago January 15th, 2025 | October 31, 2025 9 months ago October 31st, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | March 31, 2024 | Not reported |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
MiniMax-01 | Nova Premier 1.0 | |
|---|---|---|
Input Types Supported input formats | 📝Text🖼️Image | 📝Text🖼️Image |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Other | Nova |
Key Features Advanced capabilities | Function CallingStructured OutputReasoning ModeContent Moderation | ✓Function CallingStructured OutputReasoning Mode✓Content Moderation |
Open Source Model availability | Available on HuggingFace → | Proprietary |
Pricing
MiniMax-01 is roughly 0.08x less expensive compared to Nova Premier 1.0 for input tokens and roughly 0.09x less expensive for output tokens.
Input Token Cost Cost per million input tokens | $0.20 per million tokens | $2.50 per million tokens |
Output Token Cost Cost per million output tokens | $1.10 per million tokens | $12.50 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | Not specified | $0.63 per million tokens |
Benchmarks
Compare relevant benchmarks between MiniMax-01 and Nova Premier 1.0.
Best Design Arena Score Highest human-preference Elo score across design arenas | Benchmark not available. | 860 Elo (#116 in Website (26.2% win rate)) |
At a Glance
Quick overview of what makes MiniMax-01 and Nova Premier 1.0 unique.
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