DeepSeek-R1 vs DeepSeek-V4-Pro
Direct spec comparison of DeepSeek-R1 (from DeepSeek) and DeepSeek-V4-Pro (from DeepSeek). Want a 3- or 4-way comparison? Open the multi-model tool →
DeepSeek | DeepSeek | |
|---|---|---|
| Vendor | DeepSeek | DeepSeek |
| Family | DeepSeek | DeepSeek |
| Release date | 2025-01-20 | 2026-04-22 |
| Context window | 128,000 tokens | 1,000,000 tokens |
| Parameters | 671B | 1.6T (49B active) |
| Modality | text | text |
| License | MIT | MIT |
| Source | open weights | open weights |
| Description | Reasoning-focused open-weight model. | DeepSeek's flagship open-weight MoE. 1.6T parameters with 49B activated, 1M-token context, and a hybrid attention scheme (CSA + HCA) that delivers long-context inference at ~27% of V3.2's FLOPs. |
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