DeepSeek: R1 Distill Qwen 32B vs. MiniMax: MiniMax M2.5
Direkter Head-to-Head-Vergleich zweier Frontier-Modelle. DeepSeek: R1 Distill Qwen 32B gewinnt 2 von 8 Disziplinen.
Letzte Synchronisation:
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DeepSeek: R1 Distill Qwen 32B
DeepSeek
Mehr von DeepSeek →
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MiniMax: MiniMax M2.5
Minimax
Mehr von Minimax →
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| Quality Index | 11 | 33,7 ★ |
| Speed (Tokens/s) | 0 | 0 |
| Latency (TTFT) | 0 ms | 0 ms |
| Preis Input (USD/1M) | $0 ★ | $0.30 |
| Preis Output (USD/1M) | $0 ★ | $1.20 |
| Context Window | — | — |
| Modalitäten | text | text |
| Release | 01/2025 | 02/2026 |
DeepSeek: R1 Distill Qwen 32B
DeepSeek R1 Distill Qwen 32B is a distilled large language model based on [Qwen 2.5 32B](https://huggingface.co/Qwen/Qwen2.5-32B), using outputs from [DeepSeek R1](/deepseek/deepseek-r1). It outperforms OpenAI's o1-mini across various benchmarks, achieving new...
MiniMax: MiniMax M2.5
MiniMax-M2.5 is a SOTA large language model designed for real-world productivity. Trained in a diverse range of complex real-world digital working environments, M2.5 builds upon the coding expertise of M2.1...