DeepSeek-V4-Pro vs Llama 4 Scout
Direct spec comparison of DeepSeek-V4-Pro (from DeepSeek) and Llama 4 Scout (from Meta). Want a 3- or 4-way comparison? Open the multi-model tool →
 DeepSeek-V4-ProDeepSeek |  Llama 4 ScoutMeta | |
|---|---|---|
| Vendor | DeepSeek | Meta |
| Family | DeepSeek | Llama |
| Release date | 2026-04-22 | 2025-04-05 |
| Context window | 1,000,000 tokens | 10,000,000 tokens |
| Parameters | 1.6T (49B active) | 109B |
| Modality | text | text, vision |
| License | MIT | Llama 4 Community License |
| Source | open weights | open weights |
| Description | 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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