DeepSeek V3.2 vs MiniMax M1 (Comparative Analysis)
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Comparative Analysis: DeepSeek V3.2 vs. MiniMax M1
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Overview
MiniMax M1 was released 5 months before DeepSeek V3.2.
 DeepSeek V3.2 |  MiniMax M1 | |
|---|---|---|
Model Provider The organization behind this AI's development | DeepSeek | MiniMax |
Input Context Window Maximum input tokens this model can process at once | 163.8K tokens | 1M tokens |
Output Token Limit Maximum output tokens this model can generate at once | 65.5K tokens | 40K tokens |
Release Date When this model first became publicly available | December 1, 2025 7 months ago December 1st, 2025 | June 17, 2025 1 year ago June 17th, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | Not reported | June 30, 2024 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
DeepSeek V3.2 | 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 | DeepSeek | 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
DeepSeek V3.2 is roughly 0.5x less expensive compared to MiniMax M1 for input tokens and roughly 0.2x less expensive for output tokens.
| DeepSeek V3.2 | MiniMax M1 | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.27 per million tokens | $0.55 per million tokens |
Output Token Cost Cost per million output tokens | $0.40 per million tokens | $2.20 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | $0.13 per million tokens | Not specified |
Benchmarks
Compare relevant benchmarks between DeepSeek V3.2 and MiniMax M1.
| DeepSeek V3.2 | MiniMax M1 | |
|---|---|---|
Intelligence Index Overall model quality across independent evaluations | 32 (Artificial Analysis index; higher is better) | Benchmark not available. |
Coding Index Programming performance across independent evaluations | 44.2 (Artificial Analysis index; higher is better) | Benchmark not available. |
Agentic Index Ability to complete multi-step agentic tasks | 18.3 (Artificial Analysis index; higher is better) | Benchmark not available. |
Best Design Arena Score Highest human-preference Elo score across design arenas | 1,199 Elo (#55 in Website (50.2% win rate)) | Benchmark not available. |
At a Glance
Quick overview of what makes DeepSeek V3.2 and MiniMax M1 unique.
DeepSeek V3.2 by DeepSeek can use external tools and APIs, offers advanced reasoning, generates structured data. It can handle standard conversations with its 163.8K token context window. Very affordable at $0.27/M input and $0.40/M output tokens. Released December 1st, 2025.MiniMax M1 by MiniMax can use external tools and APIs, offers advanced reasoning. It can handle standard conversations with its 1M token context window. Reasonably priced at $0.55/M input and $2.20/M output tokens. Released June 17th, 2025.Explore More Comparisons
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