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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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GLM-5.2 vs Llama 3.1-405B

Verdict

GLM-5.2 leads 3–0 across 3 shared benchmarks.

GLM-5.2 3 · Llama 3.1-405B 0 · higher isn't always better — see caveats.

Per-benchmark head-to-head

GLM-5.2Llama 3.1-405B
  • 89.14
    GPQA diamond
    34.55
  • 86.38
    OTIS Mock AIME 2024-2025
    9.63
  • 70.12
    WeirdML
    21.38
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

  • GLM-5.289.14
  • Llama 3.1-405B93.73

GLM-5.2 vs …

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

Llama 3.1-405B vs …

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