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GLM 5.2 Thinking

zai-org/glm-5.2:thinking
Provider logo

GLM 5.2 Thinking

zai-org/glm-5.2:thinking

GLM-5.2 with thinking enabled for harder long-horizon coding, autonomous agent workflows, complex engineering optimization, and real-world development tasks.

Added Jun 15, 2026

Model weights

Context Window

1.0M

Max Output

131.1K

Input Price (Auto)

$0.42/1M

Output Price (Auto)

$1.32/1M

Cache Read (Auto)

$0.078/1M

Capabilities

Benchmarks

Performance metrics and benchmarks

Sourced from Artificial Analysis.

Intelligence Index

52.6

Better than 94% of models compared

Coding Index

68.8

Better than 85% of models compared

Agentic Index

45.7

Better than 84% of models compared

Reasoning

GPQA Diamond

Graduate-level scientific reasoning

89.5%

Better than 90% of models compared

HLE

Humanity's Last Exam

41.1%

Better than 94% of models compared

IFBench

Instruction-following benchmark

73.3%

Better than 91% of models compared

T²-Bench Telecom

Conversational AI agents in dual-control scenarios

99.1%

Better than 99% of models compared

AA-LCR

Long context reasoning evaluation

76.7%

Better than 94% of models compared

GDPval-AA

Economically valuable tasks

50.3%

CritPt

Research-level physics reasoning

20.9%

Coding

SciCode

Python programming for scientific computing

50.5%

Better than 92% of models compared

Terminal-Bench Hard

Agentic coding and terminal use

50.8%

Better than 95% of models compared

Knowledge

AA-Omniscience Accuracy

Proportion of correctly answered questions

24.3%

AA-Omniscience Hallucination Rate

Rate of incorrect answers among non-correct responses

26.3%

Last updated Aug 16, 2026

Artificial Analysis

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