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tensor.news grades benchmarks and tags model claims by evidence status. Every fact carries a source record and provenance. Scores are framed as task performance under a disclosed harness, never as deployed capability.

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GPT-5 mini vs o4-mini

Verdict

Evenly split 6–6 across 12 shared benchmarks.

GPT-5 mini 6 · o4-mini 6 · higher isn't always better — see caveats.

Per-benchmark head-to-head

GPT-5 minio4-mini
  • 54.33
    ARC-AGI
    58.7
  • 4.44
    ARC-AGI-2
    6.11
  • 69.4
    Fiction.LiveBench
    77.8
  • 12.2
    FrontierMath-Tier-4-v2-Private
    4.88
  • 46.67
    FrontierMath-Tiers-1-3-v2-Private
    36.14
  • 66.67
    GPQA diamond
    72.81
  • 15.38
    HLE
    13.95
  • 97.85
    MATH level 5
    97.83
  • 86.65
    OTIS Mock AIME 2024-2025
    81.65
  • 21
    SimpleQA Verified
    23.9
  • 10.3
    VPCT
    36.25
  • 52.67
    WeirdML
    52.56
A higher number is not always a better model. Each score is task performance under a disclosed harness, and some of these benchmarks are saturated or scored under mixed harnesses. Follow any benchmark to its integrity grade before reading a win as decisive.

Follow the record

These models

  • GPT-5 mini97.85
  • o4-mini97.83