GPT-4 Turbo Preview vs MiniMax M2 (Comparative Analysis)
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Comparative Analysis: GPT-4 Turbo Preview vs. MiniMax M2
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Overview
GPT-4 Turbo Preview was released 1 year before MiniMax M2.
Model Provider The organization behind this AI's development | ||
Input Context Window Maximum input tokens this model can process at once | 128K tokens | 204.8K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 4.1K tokens | 131.1K tokens |
Release Date When this model first became publicly available | January 25, 2024 2 years ago January 25th, 2024 | October 23, 2025 9 months ago October 23rd, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | December 31, 2023 | Not reported |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
GPT-4 Turbo Preview | MiniMax M2 | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📝Text |
Reasoning Controls Defaults and configurable reasoning effort | Not reported | Always enabled |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | GPT | Other |
Key Features Advanced capabilities | ✓Function Calling✓Structured OutputReasoning Mode✓Content Moderation | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation |
Open Source Model availability | Proprietary | Available on HuggingFace → |
Pricing
GPT-4 Turbo Preview is roughly 38.5x more expensive compared to MiniMax M2 for input tokens and roughly 29.4x more expensive for output tokens.
Input Token Cost Cost per million input tokens | $10.00 per million tokens | $0.26 per million tokens |
Output Token Cost Cost per million output tokens | $30.00 per million tokens | $1.02 per million tokens |
Benchmarks
Compare relevant benchmarks between GPT-4 Turbo Preview and MiniMax M2.
Best Design Arena Score Highest human-preference Elo score across design arenas | Benchmark not available. | 1,169 Elo (#64 in UI Component (49.2% win rate)) |
At a Glance
Quick overview of what makes GPT-4 Turbo Preview and MiniMax M2 unique.
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