DeepSeek develops Deepseek Prover V 1.5 SFT, a chat model exceling at reasoning and text generation, particularly in formal mathematical languages. It is notably trained using reinforcement learning from proof assistant feedback and employs a variant of Monte-Carlo tree search, achieving state-of-the-art results on the miniF2F and ProofNet benchmarks with scores of 63.5% and 25.3%, respectively.
Input
Output
Context
4K
Max Output
2K
Parameters
6.9B
Input Modalities
Output Modalities
Estimates based on INT8 quantization. Actual requirements vary by framework and configuration.
Data sourced from official provider APIs and documentation
Last updated: Aug 28, 2026
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