AI Research

    GPT-5.1: added the launch-reported SWE-bench Verified result; this is historical evidence, not a newly measured improvement

    Quantifying AI's coding precision through standardized SWE-bench verified performance metrics.

    Added the launch-reported SWE-bench Verified result; this is historical evidence, not a newly measured improvement — verified by the OnAirToday AI Progress Tracker against OpenAI's published documentation.

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    GPT-5.1: added the launch-reported SWE-bench Verified result; this is historical evidence, not a newly measured improvement

    The OnAirToday AI Progress Tracker recorded a verified change to OpenAI's GPT-5.1 (version gpt-5.1): Added the launch-reported SWE-bench Verified result; this is historical evidence, not a newly measured improvement.

    GPT-5.1 is an OpenAI model supporting text and image input, text output, configurable reasoning, and tool-assisted workflows. This is a provisional historical profile rather than a completed current-state recheck: live source retrieval is unavailable here, so availability, pricing, and successor releases as of September 19, 2026 remain unverified.

    What changed in this review:

    • Live verification was unavailable; retained specifications and USD-per-million-token prices should not be treated as currently revalidated.
    • Supplied security excerpts describe launches and capability concerns, not qualifying incidents; their full articles were not independently checked.

    Teams building on GPT-5.1 should confirm limits, pricing and benchmark coverage against the vendor's own documentation before relying on these figures.

    The full profile — capabilities, benchmark citations, known flaws and risk guidance — is on the tracker at /ai-models/gpt-5-1.

    References:

    • https://openai.com/index/gpt-5-1/
    • https://openai.com/index/gpt-5-1-for-developers/
    • https://platform.openai.com/docs/models/gpt-5.1
    AI Analysis

    Generated insight by OnAirToday AI

    The inclusion of verified SWE-bench performance markers provides a critical, standardized benchmark for assessing an AI model's real-world software engineering capabilities. This shift toward empirical evidence helps researchers differentiate between genuine architectural breakthroughs and speculative performance claims.

    Powered by AI • Not a substitute for human analysisMore Insights →
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