DeepSeek: R1 Distill Llama 70B vs. MiniMax: MiniMax M2
Direkter Head-to-Head-Vergleich zweier Frontier-Modelle. MiniMax: MiniMax M2 gewinnt 2 von 8 Disziplinen.
Letzte Synchronisation:
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DeepSeek: R1 Distill Llama 70B
DeepSeek
Mehr von DeepSeek →
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MiniMax: MiniMax M2
Minimax
Mehr von Minimax →
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| Quality Index | 9,9 | 28,3 ★ |
| Speed (Tokens/s) | 0 | 0 |
| Latency (TTFT) | 0 ms | 0 ms |
| Preis Input (USD/1M) | $0.70 | $0.30 ★ |
| Preis Output (USD/1M) | $1.05 ★ | $1.20 |
| Context Window | — | — |
| Modalitäten | text | text |
| Release | 01/2025 | 10/2025 |
DeepSeek: R1 Distill Llama 70B
DeepSeek R1 Distill Llama 70B is a distilled large language model based on [Llama-3.3-70B-Instruct](/meta-llama/llama-3.3-70b-instruct), using outputs from [DeepSeek R1](/deepseek/deepseek-r1). The model combines advanced distillation techniques to achieve high performance across...
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,...