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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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DeepSeek-V3 vs GLM-5.2

Verdict

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

DeepSeek-V3 0 · GLM-5.2 3 · higher isn't always better — see caveats.

Per-benchmark head-to-head

DeepSeek-V3GLM-5.2
  • 0
    CritPt
    20.86
  • 42.05
    GPQA diamond
    89.14
  • 15.75
    OTIS Mock AIME 2024-2025
    86.38
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

  • DeepSeek-V393.73
  • GLM-5.289.14

DeepSeek-V3 vs …

  • vs PowerMoE-3b
  • vs Claude Fable 5
  • vs GPT-5.5
  • vs Gemini 3.1 Pro
  • vs Llama 3.1-405B

GLM-5.2 vs …

  • vs PowerMoE-3b
  • vs Claude Fable 5
  • vs GPT-5.5
  • vs Gemini 3.1 Pro
  • vs Llama 3.1-405B