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Silicon Flash > Blog > AI > Breaking News: OpenAI’s GPT-5.1-Codex-Max Completes 24-Hour Coding Task in Record Time
AI

Breaking News: OpenAI’s GPT-5.1-Codex-Max Completes 24-Hour Coding Task in Record Time

Published November 20, 2025 By Juwan Chacko
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3 Min Read
Breaking News: OpenAI’s GPT-5.1-Codex-Max Completes 24-Hour Coding Task in Record Time
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Summary:
1. OpenAI has introduced GPT‑5.1-Codex-Max, a new agentic coding model in the Codex developer environment, offering improved long-horizon reasoning and efficiency.
2. The model outperforms Google’s Gemini 3 Pro on key coding benchmarks, showcasing its capabilities in software engineering tasks.
3. GPT‑5.1-Codex-Max features compaction for extended reasoning, platform integration in Codex-based environments, and cybersecurity measures for safe usage.

Rewritten Article:
OpenAI has unveiled the latest addition to its Codex developer environment, GPT‑5.1-Codex-Max, a cutting-edge agentic coding model designed to revolutionize AI-assisted software engineering. This release signifies a significant advancement in the realm of artificial intelligence, offering enhanced capabilities in long-horizon reasoning, efficiency, and real-time interactive features. GPT‑5.1-Codex-Max is set to replace its predecessor, GPT‑5.1-Codex, as the default model across Codex-integrated platforms.

In a head-to-head comparison with Google’s Gemini 3 Pro, GPT‑5.1-Codex-Max emerged victorious on crucial coding benchmarks. With a 77.9% accuracy rate on SWE-Bench Verified at extra-high reasoning effort, GPT‑5.1-Codex-Max surpassed Gemini 3 Pro’s score of 76.2%. Similarly, the model outperformed Gemini 3 Pro on Terminal-Bench 2.0 and matched its performance on LiveCodeBench Pro, a competitive coding Elo benchmark. Even when pitted against Gemini 3 Pro’s most advanced configuration, Codex-Max maintained a slight edge in agentic coding benchmarks.

The performance benchmarks for GPT‑5.1-Codex-Max showcased incremental gains across key software engineering tasks. Notable improvements were observed in accuracy rates across various benchmarks, highlighting the model’s enhanced correctness and usability under extended reasoning loads. GPT‑5.1-Codex-Max’s technical architecture introduces a groundbreaking feature called compaction, enabling effective reasoning over extended input-output sessions without performance degradation. This mechanism allows the model to maintain crucial contextual information while discarding irrelevant details, enhancing token efficiency and overall performance.

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GPT‑5.1-Codex-Max is seamlessly integrated into multiple Codex-based environments, including Codex CLI, IDE extensions, interactive coding environments, and internal code review tooling. While the model is not yet accessible via public API, users can leverage it through the Codex CLI in terminal environments. The platform’s interactive capabilities are exemplified through simulations like CartPole policy gradient simulator and Snell’s Law optics explorer, showcasing real-time reasoning and development interactions.

In terms of cybersecurity and safety constraints, GPT‑5.1-Codex-Max meets OpenAI’s standards for cybersecurity models but with enhanced monitoring systems to mitigate risks. The model supports automated vulnerability detection and remediation, with strict sandboxing and disabled network access by default. Deployment contexts for GPT‑5.1-Codex-Max include ChatGPT Plus, Pro, Business, Edu, and Enterprise plans, emphasizing its role as a coding assistant rather than a replacement for human review.

GPT‑5.1-Codex-Max represents a significant leap forward in AI-assisted programming environments, offering advanced reasoning depth, token efficiency, and interactive capabilities for software engineering tasks. By prioritizing agentic workflows, secure sandboxes, and real-world evaluation metrics, Codex-Max sets the stage for the next generation of AI-powered development tools, highlighting the importance of oversight in autonomous systems.

TAGGED: 24Hour, Breaking, coding, completes, GPT5.1CodexMax, News, OpenAIs, Record, Task, time
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