DeepSeek: DeepSeek V3.1 Terminus vs. MiniMax: MiniMax M2
Direkter Head-to-Head-Vergleich zweier Frontier-Modelle. MiniMax: MiniMax M2 gewinnt 3 von 8 Disziplinen.
Letzte Synchronisation:
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DeepSeek: DeepSeek V3.1 Terminus
DeepSeek
Mehr von DeepSeek →
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MiniMax: MiniMax M2
Minimax
Mehr von Minimax →
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| Quality Index | 30,4 ★ | 28,3 |
| Speed (Tokens/s) | 0 | 98,3 ★ |
| Latency (TTFT) | 0 ms ★ | 1,22 s |
| Preis Input (USD/1M) | $1.635 | $0.30 ★ |
| Preis Output (USD/1M) | $2.75 | $1.20 ★ |
| Context Window | — | — |
| Modalitäten | text | text |
| Release | 09/2025 | 10/2025 |
DeepSeek: DeepSeek V3.1 Terminus
DeepSeek-V3.1 Terminus is an update to [DeepSeek V3.1](/deepseek/deepseek-chat-v3.1) that maintains the model's original capabilities while addressing issues reported by users, including language consistency and agent capabilities, further optimizing the model's...
MiniMax: MiniMax M2
MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows. With 10 billion activated parameters (230 billion total), it delivers near-frontier intelligence across general reasoning,...