DeepSeek: R1 Distill Qwen 32B vs. MiniMax: MiniMax M2
Direkter Head-to-Head-Vergleich zweier Frontier-Modelle. DeepSeek: R1 Distill Qwen 32B gewinnt 2 von 8 Disziplinen.
Letzte Synchronisation:
|
DeepSeek: R1 Distill Qwen 32B
DeepSeek
Mehr von DeepSeek →
|
MiniMax: MiniMax M2
Minimax
Mehr von Minimax →
|
|
|---|---|---|
| Quality Index | 11 | 28,3 ★ |
| 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 | 10/2025 |
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
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,...