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Artificial Analysis Adds SubQ Snap 1.2 Results to Decision Index

2 reports 1 reporting sources first reported Updated 8 hours ago

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Artificial Analysis reports that SubQ Snap 1.2 scored 73 on Decision Index v2.1, up from 68 for version 1.1 and within 0.1 points of Drex Max v1.1 and GLiDE v1.2. Its all-pass rate on AA-Paperclip rose from 46% to 62%. On AA-Omniscience-Decision and HLE-MultiChoice, non-hallucination rates improved while accuracy stayed at 21% and 9%, respectively; Artificial Analysis attributes those gains to abstention. The results build on Decision Index v2, which Artificial Analysis released with private datasets accounting for 45% of the index, up from 25% in v1. The updated Decision Score rewards both correct answers and calibrated confidence.

Generated by AI from reports · Updated 7 hours ago

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Developments

2 developments

  1. 11/14 08:14 (UTC+8) · 1 reports
    Artificial Analysis Ranks SubQ Snap 1.2 on Decision Index v2.1
    Artificial Analysis · X:SubQ Snap 1.2 Scores 73 on Artificial Analysis Decision Index v2.1
  2. 11/9 07:51 (UTC+8) · 1 reports
    Artificial Analysis Releases Decision Index v2
    Artificial Analysis · X:Artificial Analysis Releases Decision Index v2 With New Benchmarks and a Calibration-Aware Score

Report timeline

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11/14
  1. SubQ Snap 1.2 Scores 73 on Artificial Analysis Decision Index v2.1

    Artificial Analysis reports that SubQ Snap 1.2 scores 73 on its Decision Index v2.1, up from 68 for version 1.1 and within 0.1 points of Drex Max v1.1 and GLiDE v1.2. Its all-pass rate on AA-Paperclip rises from 46% to 62%. On AA-Omniscience-Decision and HLE-MultiChoice, non-hallucination rates improve while accuracy remains flat at 21% and 9%, respectively; the post attributes those gains to abstention.

11/9
  1. Artificial Analysis Releases Decision Index v2 With New Benchmarks and a Calibration-Aware Score

    Artificial Analysis has released Decision Index v2, with 45% of the index now based on private datasets, up from 25% in v1. Its new Decision Score rewards both correct answers and calibrated confidence. Drex Max v1.1 and GLiDE v1.2 each score 73, while Mammoth 27B scores 72; the post also compares task costs and times across decision models and language models.

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