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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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Gemini 3.1 Pro vs GLM-5.2

Verdict

Gemini 3.1 Pro leads 9–5 across 14 shared benchmarks.

Gemini 3.1 Pro 9 · GLM-5.2 5 · higher isn't always better — see caveats.

Per-benchmark head-to-head

Gemini 3.1 ProGLM-5.2
  • 33.5
    APEX-Agents
    35.6
  • 98
    ARC-AGI
    77
  • 77.1
    ARC-AGI-2
    22.78
  • 55
    Chess Puzzles
    21
  • 17.71
    CritPt
    20.86
  • 26.83
    FrontierMath-Tier-4-v2-Private
    29.27
  • 59.65
    FrontierMath-Tiers-1-3-v2-Private
    59.21
  • 0.85
    GBAEval
    0.02
  • 92.13
    GPQA diamond
    89.14
  • 95.6
    OTIS Mock AIME 2024-2025
    86.38
  • 21.59
    PostTrainBench
    34.29
  • 77.3
    SimpleQA Verified
    38.1
  • 75.62
    SWE-Bench verified
    78.7
  • 72.1
    WeirdML
    70.12
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

  • Gemini 3.1 Pro98
  • GLM-5.289.14

Gemini 3.1 Pro vs …

  • vs PowerMoE-3b
  • vs Claude Fable 5
  • vs GPT-5.5
  • vs Llama 3.1-405B
  • vs phi-3-small 7.4B

GLM-5.2 vs …

  • vs PowerMoE-3b
  • vs Claude Fable 5
  • vs GPT-5.5
  • vs Llama 3.1-405B
  • vs phi-3-small 7.4B