DeepSeek: R1 Distill Qwen 32B vs. Ling-3.0-flash
Direkter Head-to-Head-Vergleich zweier Frontier-Modelle. DeepSeek: R1 Distill Qwen 32B gewinnt 3 von 8 Disziplinen.
Letzte Synchronisation:
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DeepSeek: R1 Distill Qwen 32B
DeepSeek
Mehr von DeepSeek →
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Ling-3.0-flash
Inclusionai
Mehr von Inclusionai →
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| Quality Index | 11 | 37,4 ★ |
| Speed (Tokens/s) | 0 | 316,0 ★ |
| Latency (TTFT) | 0 ms ★ | 1,56 s |
| Preis Input (USD/1M) | $0 ★ | $0.075 |
| Preis Output (USD/1M) | $0 ★ | $0.22 |
| Context Window | — | — |
| Modalitäten | text | text |
| Release | 01/2025 | 08/2026 |
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...
Ling-3.0-flash
*Ling-3.0-flash* is a *124B-parameter Mixture-of-Experts (MoE) model*, with approximately *5.1B parameters activated per token*. The model is designed with *token efficiency and production-scale agentic inference* as key priorities, enabling developers...