Skip to content
VECTOR WIREAI INTELLIGENCE
UTC

GLM-4.5-Base vs Granite 4.1 30B Base

Z.ai · released

IBM · released

Scores updated · 12 tests both models report · How we compare

Every test, side by side

All 12 tests both models report. The winning score is in its model's colour; marks a score checked independently.

Other results12 tests
  • SimpleQAGLM-4.5-Base by 18.829.310.5+18.8
  • MMLU-ProGLM-4.5-Base by 14.263.749.5+14.2
  • HumanEvalGLM-4.5-Base by 10.578.267.7+10.5
  • MMLUGLM-4.5-Base by 9.387.778.4+9.3
  • IncludeGLM-4.5-Base by 9.276.367.1+9.2
  • MBPP+ (EvalPlus-augmented)GLM-4.5-Base by 8.57869.6+8.5
  • MGSMGLM-4.5-Base by 6.981.374.4+6.9
  • GSM8KGLM-4.5-Base by 6.390.183.8+6.3
  • MMMLUGLM-4.5-Base by 5.979.373.4+5.9
  • BBHGLM-4.5-Base by 5.586.280.7+5.5
  • DROPGLM-4.5-Base by 4.382.978.6+4.3
  • MBPPGranite 4.1 30B Base by 281.683.6+2

Questions people ask

How do you compare the two?

We use the 12 benchmark tests both models have published scores on. None of them is in the eight capability areas we count, so this page lists them without a verdict. Each score is the one shown on the model's own page.