OpenAI Accelerates GPT-5.2 and GPT-5.2-Codex by 40%, No Model Changes

BearMarketBuilder · 2026-02-12T17:04:32+00:00

OpenAI has recently achieved a remarkable 40% performance optimization for its flagship models, GPT-5.2 and GPT-5.2-Codex. This acceleration enhances user experience by significantly reducing latency without altering the underlying model infrastructure. The improvements ensure faster responses for all API users, reflecting OpenAI's commitment to continuous system optimization and efficiency.

BearMarketBuilder

2026-02-12 17:04:32

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OpenAI recently delivered impressive performance optimizations for both of its flagship models. According to a report from Foresight News, the acceleration achieved by OpenAI reaches 40%, providing significant benefits to all API users. This achievement is notable because it was accomplished without changing the underlying models or weights.

40% Speed Increase for Enhanced User Experience

The 40% acceleration in the execution speed of GPT-5.2 and GPT-5.2-Codex models represents a substantial performance leap. Users will experience a direct reduction in latency, with much shorter response times when using the API. This improvement applies universally to all users without requiring upgrades or special configurations.

This level of acceleration is not just an incremental improvement but a significant transformation in system efficiency. For developers and enterprises relying on the OpenAI API, benefits include reduced wait times, increased throughput, and a more responsive end-user experience.

Technology Optimization Without Modifying Model Structure

OpenAI’s technical advantage lies in its ability to increase speed by a significant percentage while maintaining the same models and weights. This means the optimization is performed at the infrastructure and execution algorithm level, not on the fundamental architecture of the models themselves.

This approach demonstrates high engineering efficiency, enabling performance improvements without retraining or replacing core components. The result is drastically reduced latency, providing better responsiveness for various use cases—from customer service and data analysis to programming with GPT-5.2-Codex.

OpenAI’s achievement reflects a continued commitment to system optimization, ensuring that every user receives the best possible performance with the throughput expected in this era of generative AI.

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