DeepSeek: DeepSeek V3.2 Speciale vs MiniMax: MiniMax M2.7
Side-by-side comparison — pricing, context window, capabilities, and live leaderboard data.
Key differences
- DeepSeek: DeepSeek V3.2 Speciale is built by DeepSeek; MiniMax: MiniMax M2.7 is built by MiniMax.
Specifications
| DeepSeek: DeepSeek V3.2 Speciale | MiniMax: MiniMax M2.7 | |
|---|---|---|
| Provider | DeepSeek | MiniMax |
| Context window | 164K | 205K |
| Max output tokens | 8192 | 8192 |
| Input price / 1K tokens | $0.0003 | $0.0003 |
| Output price / 1K tokens | $0.0004 | $0.0012 |
| Vision support | No | No |
| Function calling | No | No |
| License | Open Source | Proprietary |
About DeepSeek: DeepSeek V3.2 Speciale
CN·OpenDeepSeek-V3.2-Speciale is a high-compute variant of DeepSeek-V3.2 optimized for maximum reasoning and agentic performance. It builds on DeepSeek Sparse Attention (DSA) for efficient long-context processing, then scales post-training reinforcement learning...
View DeepSeek: DeepSeek V3.2 Speciale reliability and benchmark history →About MiniMax: MiniMax M2.7
CN·ClosedMiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participate in its own evolution, M2.7 integrates advanced agentic capabilities through multi-agent...
View MiniMax: MiniMax M2.7 reliability and benchmark history →Try them yourself
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