DeepSeek: DeepSeek V4 Flash 0423 vs. MiniMax: MiniMax M2
Direkter Head-to-Head-Vergleich zweier Frontier-Modelle. DeepSeek: DeepSeek V4 Flash 0423 gewinnt 3 von 8 Disziplinen.
Letzte Synchronisation:
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DeepSeek: DeepSeek V4 Flash 0423
DeepSeek
Mehr von DeepSeek →
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MiniMax: MiniMax M2
Minimax
Mehr von Minimax →
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| Quality Index | 42,1 ★ | 28,9 |
| Speed (Tokens/s) | 0 | 0 |
| Latency (TTFT) | 0 ms | 0 ms |
| Preis Input (USD/1M) | $0.13 ★ | $0.30 |
| Preis Output (USD/1M) | $0.28 ★ | $1.20 |
| Context Window | — | — |
| Modalitäten | text | text |
| Release | 04/2026 | 10/2025 |
DeepSeek: DeepSeek V4 Flash 0423
DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context window. It is designed for fast inference and...
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,...