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Zhipu · released 2026-06-13

GLM 5.2

Measured on 163 benchmarks.

18.0

#55 of 95 models · best at max

includes estimates: 35% of the mix is measured for this model

Strengths

  • GLM 5.2
  • Gemini 4 Carbon (#1)
  • Field median
bestField medianFrontierCode 2.0-…Terminal-Bench v4…AA-Briefcase v1.1AutomationBench-AATerminal-Bench-Sc…HLE-DiamondCritPt v2 Hard Su…AA-Omniscience v1…AA-Omniscience v1…GDP.pdf
  1. FrontierCode 2.0-AA15%13.7% est.#46 of 95
  2. Terminal-Bench v4-AA10%1.0%#59 of 95
  3. AA-Briefcase v1.115%1227#47 of 95
  4. AutomationBench-AA5%28.4%#56 of 95
  5. Terminal-Bench-Science-AA15%1.4% est.#51 of 95
  6. HLE-Diamond10%12.8% est.#58 of 95
  7. CritPt v2 Hard Subset10%18.0% est.#56 of 95
  8. AA-Omniscience v1.1 Accuracy10%29.3% est.#57 of 95
  9. AA-Omniscience v1.1 Non-hallucination5%43.6% est.#59 of 95
  10. GDP.pdf5%10.4%#61 of 95

Bars show where GLM 5.2 sits among the 95 ranked models on each benchmark (right is best); the tick is the field median.

Cost and speed

against 95 ranked models

Output speed

#53 fastest of 75

70 tok/sat max

Time to first token

#33 quickest of 75

3.4sat max

Token price

$0.309 per 1M tokens at API prices$0.0092 on Mistral Vibe Pro

97.0% cache read · 2.50% fresh input · 0.00% cache write · 0.50% output

Assumed mix: no measured T3 Code usage for this model.

Not measured for GLM 5.2: cost per task, time per task, output tokens per task (no published API price yet).

This ranking’s benchmarks

4 of 10 measured

agentic

AutomationBench-AA

241 results
  1. #135max of 24128.4%

Leader: Gemini 4 Carbon · 77.8%

agentic

AA-Briefcase v1.1

247 results
  1. #98max of 2471227

Leader: Sonnet 5.5 · 1813

economics

GDP.pdf

240 results
  1. #147max of 24010.4%

Leader: Muse Wonder Full · 32.6%

coding

Terminal-Bench v4-AA

238 results
  1. #153max of 2381.0%

Leader: Kimi K3.1 · 67.2%

All 163 benchmarks

show 159 more