GLM 4.5 vs MiniMax M1 (Comparative Analysis)
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Comparative Analysis: GLM 4.5 vs. MiniMax M1
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Overview
MiniMax M1 was released 1 month before GLM 4.5.
Model Provider The organization behind this AI's development | ||
Input Context Window Maximum input tokens this model can process at once | 131.1K tokens | 1M tokens |
Output Token Limit Maximum output tokens this model can generate at once | 98.3K tokens | 40K tokens |
Release Date When this model first became publicly available | July 25, 2025 1 year ago July 25th, 2025 | June 17, 2025 1 year ago June 17th, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | December 31, 2024 | June 30, 2024 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
GLM 4.5 | MiniMax M1 | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📝Text |
Reasoning Controls Defaults and configurable reasoning effort | Optional | Optional |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Other | Other |
Key Features Advanced capabilities | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation | ✓Function CallingStructured Output✓Reasoning ModeContent Moderation |
Open Source Model availability | Available on HuggingFace → | Proprietary |
Pricing
GLM 4.5 is roughly 1.1x more expensive compared to MiniMax M1 for input tokens and roughly 1.0x less expensive for output tokens.
Input Token Cost Cost per million input tokens | $0.60 per million tokens | $0.55 per million tokens |
Output Token Cost Cost per million output tokens | $2.20 per million tokens | $2.20 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | $0.11 per million tokens | Not specified |
Benchmarks
Compare relevant benchmarks between GLM 4.5 and MiniMax M1.
Best Design Arena Score Highest human-preference Elo score across design arenas | 1,228 Elo (#37 in 3D (59.7% win rate)) | Benchmark not available. |
At a Glance
Quick overview of what makes GLM 4.5 and MiniMax M1 unique.
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