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OpenAI's GPT 5.6 shows 54% boost in token efficiency for coding tasks

OpenAI has reportedly developed a new AI model, GPT 5.6, which demonstrates a 54% improvement in token efficiency for agentic coding tasks. This advancement was shared by OpenAI CEO Sam Altman in an interview with CNBC. The enhanced efficiency suggests potential improvements in the model's ability to handle complex coding instructions and operations. AI

IMPACT This efficiency gain could lead to more capable AI agents for coding and potentially reduce operational costs for AI services.

RANK_REASON Frontier-lab model release with system card. [lever_c_demoted from frontier_release: ic=1 ai=1.0]

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AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

OpenAI's GPT 5.6 shows 54% boost in token efficiency for coding tasks

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  1. r/OpenAI TIER_2 English(EN) · /u/Common-Resident8087 ·

    OpenAI’s newest AI model, GPT 5.6 is 54% more token efficient on agentic coding.

    <!-- SC_OFF --><div class="md"><h1>OpenAI’s newest AI model, GPT 5.6 is 54% more token efficient on agentic coding, Altman tells CNBC</h1> <p><a href="https://www.cnbc.com/2026/07/09/open-ai-sam-altman-chatgpt-5-6-sol.html">https://www.cnbc.com/2026/07/09/open-ai-sam-altman-chatg…