DeepSeek V3.1 Introduction DeepSeek V3.1 is a hybrid model that supports both thinking mode and non thinking mode. Compared to the previous version, this upgrade brings improvements in multiple aspects: Hybrid thinking mode : One model supports both thinking mode and non thinking mode by changing the chat template. Smarter tool calling : Through post training optimization, the model's performance in tool usage and agent tasks has significantly improved. Higher thinking efficiency : DeepSeek V3.1 Think achieves comparable answer quality to DeepSeek R1 0528, while responding more quickly. DeepSeek V3.1 is post trained on the top of DeepSeek V3.1 Base, which is built upon the original V3 base checkpoint through a two phase long context extension approach, following the methodology outlined in the original DeepSeek V3 report. We have expanded our dataset by collecting additional long documents and substantially extending both training phases. The 32K extension phase has been increased 10 fold to 630B tokens, while the 128K extension phase has been extended by 3.3x to 209B tokens. Additionally, DeepSeek V3.1 is trained using the UE8M0 FP8 scale data format on both model weights and acti…
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