DeepSeek V4 Flash 0731 achieves scores of 89.0% on ARC-AGI-1 Semi-Private at a cost of $0.02 per task and 61.4% on ARC-AGI-2 Semi-Private at $0.04 per task. The model also records scores of 87.0% and 56.0% for the High variant, and 84.0% and 46.0% for the Low variant on the respective benchmarks.

DeepSeek V4 Flash 0731 offers enhanced intelligence, improved performance metrics, and competitive pricing analysis. The model aims to optimize efficiency and effectiveness in AI applications.

DeepSeek V4 Pro achieved a precision score of 38.0, outperforming GPT-5.5 Pro, which scored 33.0. DeepSeek excelled in handling overlapping patterns in a python log redactor task by using a single regex and replacer, while GPT-5.5 Pro utilized multiple regexes, leading to less effective results.