GLM-5.2 vs Gemini 3.8 Flash

Head-to-head technical comparison of intelligence, capabilities, and API pricing.

GLM-5.2
Z.ai
AI Mastery Index91.5
LMSYS Arena1465
Technical (MMLU-Pro)91.2%
Cost per 1M Tokens$1.4
Gemini 3.8 Flash
Google
AI Mastery Index93.5
LMSYS Arena1494
Technical (MMLU-Pro)93.2%
Cost per 1M Tokens$0.75

Which should you use?

Gemini 3.8 Flash leads on the composite index by 2 points (91.5 vs 93.5).

Cost is the sharper difference: GLM-5.2 is 1.9x the input price of Gemini 3.8 Flash ($1.4 against $0.75 per 1M), so at volume the choice is usually decided by budget rather than benchmarks.

Only GLM-5.2 ships open weights, which decides it outright if the workload has to run on your own hardware.

Pick GLM-5.2 when

  • Open weights, so it is the only one of the two you can run on your own hardware or keep data entirely in-house.

Pick Gemini 3.8 Flash when

  • Higher composite index — 93.5 against 91.5, a gap of 2 points.
  • Ahead on Arena Elo by 29 points (1494 vs 1465), which is outside the board's published confidence intervals.
  • Stronger on MMLU-Pro: 93.2% against 91.2%.
  • Cheaper input tokens — $0.75 against $1.4 per 1M, so GLM-5.2 costs 1.9x as much to feed.
  • Better value per point of measured capability: $0.008 per index point against $0.015.

Value per point of measured capability, at list input pricing: Gemini 3.8 Flash $0.008 · GLM-5.2 $0.015 per index point. Run your own token mix through the token cost calculator — a comparison at list price ignores caching and batch discounts, which move real bills more than this gap does.

Our reporting on Z.ai and Google