DeepSeek V3.2 vs MiniMax M2.5 (Comparative Analysis)
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Comparative Analysis: DeepSeek V3.2 vs. MiniMax M2.5
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Overview
DeepSeek V3.2 was released 2 months before MiniMax M2.5.
 DeepSeek V3.2 |  MiniMax M2.5 | |
|---|---|---|
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 | 204.8K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 65.5K tokens | 196.6K tokens |
Release Date When this model first became publicly available | December 1, 2025 7 months ago December 1st, 2025 | February 12, 2026 5 months ago February 12th, 2026 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
DeepSeek V3.2 | MiniMax M2.5 | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📝Text |
Reasoning Controls Defaults and configurable reasoning effort | Optional | Always enabled |
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 Calling✓Structured Output✓Reasoning ModeContent Moderation |
Open Source Model availability | Available on HuggingFace → | Available on HuggingFace → |
Pricing
DeepSeek V3.2 is roughly 1.8x more expensive compared to MiniMax M2.5 for input tokens and roughly 0.4x less expensive for output tokens.
| DeepSeek V3.2 | MiniMax M2.5 | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.27 per million tokens | $0.15 per million tokens |
Output Token Cost Cost per million output tokens | $0.40 per million tokens | $0.90 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | $0.13 per million tokens | $0.05 per million tokens |
Benchmarks
Compare relevant benchmarks between DeepSeek V3.2 and MiniMax M2.5.
| DeepSeek V3.2 | MiniMax M2.5 | |
|---|---|---|
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 | 1,200 Elo (#55 in Website (50.2% win rate)) | 1,247 Elo (#35 in Website (57.5% win rate)) |
At a Glance
Quick overview of what makes DeepSeek V3.2 and MiniMax M2.5 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 M2.5 by MiniMax can use external tools and APIs, offers advanced reasoning, generates structured data. It can handle standard conversations with its 204.8K token context window. Very affordable at $0.15/M input and $0.90/M output tokens. Released February 12th, 2026.Explore More Comparisons
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🚀Programming
Best models for coding and development
🎨Creative & Roleplay
Models optimized for creative writing
📢Marketing
Content creation and marketing tasks
💻Technology
Technical analysis and explanations
🔬Science
Scientific research and analysis
🌐Translation
Multilingual translation tasks