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DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...
| 信号 | 强度 | 权重 | 影响 |
|---|---|---|---|
| Benchmarksjust now | 70 | 30% | +21.0 |
| Recencyjust now | 100 | 15% | +15.0 |
| Pricingjust now | 100 | 15% | +14.9 |
| Capabilitiesjust now | 67 | 20% | +13.3 |
| Context Windowjust now | 81 | 10% | +8.1 |
| Output Capacityjust now | 80 | 10% | +8.0 |
LMSYS Arena Elo
1424
Percentile
87.3
Weight
30%
No task benchmark data available yet for this model.
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Share your experience with DeepSeek V3.2 and help the community make better decisions.
LMSYS Arena Elo
1424
Percentile
87.3
Weight
30%
No task benchmark data available yet for this model.
成本估算器
每月比类别平均节省$42.75