DeepSeek: DeepSeek V4 Pro vs. MiniMax: MiniMax M2.1
Direkter Head-to-Head-Vergleich zweier Frontier-Modelle. MiniMax: MiniMax M2.1 gewinnt 3 von 8 Disziplinen.
Letzte Synchronisation:
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DeepSeek: DeepSeek V4 Pro
DeepSeek
Mehr von DeepSeek →
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MiniMax: MiniMax M2.1
Minimax
Mehr von Minimax →
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| Quality Index | 51,5 ★ | 39,4 |
| Speed (Tokens/s) | 30,6 | 92,9 ★ |
| Latency (TTFT) | 1,04 s ★ | 1,16 s |
| Preis Input (USD/1M) | $1.74 | $0.30 ★ |
| Preis Output (USD/1M) | $3.48 | $1.20 ★ |
| Context Window | — | — |
| Modalitäten | text | text |
| Release | 04/2026 | 12/2025 |
DeepSeek: DeepSeek V4 Pro
DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window. It is designed for advanced reasoning, coding,...
MiniMax: MiniMax M2.1
MiniMax-M2.1 is a lightweight, state-of-the-art large language model optimized for coding, agentic workflows, and modern application development. With only 10 billion activated parameters, it delivers a major jump in real-world...