GPT-5.2 Long-Context Performance Boost: Enhanced Memory in 128K-200K Range

In the Linux.do tech community, users shared their hands-on experience with GPT-5.2’s long-context capabilities. The report indicates that within the 128K to 200K context window range, GPT-5.2 shows significant memory improvements over the previous 5.1 version, with users providing MRCRv1 screenshots as evidence. The discussion also mentioned the kimi-linear experimental linear attention model, which shows promising potential, and covered two test scenarios—Easy and Hard (with needle parameters of 2 and 8 respectively)—involving 4 participants. This experience offers valuable performance insights for AI developers and tech enthusiasts, helping evaluate the model’s real-world performance in long-text processing tasks and highlighting the progress of the GPT series in contextual understanding.