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GLM-5.2GLM-5.1 Add a modelChat with these 2

AttributeHide identical rows	GLM-5.2z-ai/glm-5.2	GLM-5.1z-ai/glm-5.1
Specs
Context window	1M	200K
Max output	128K	128K
Input modalities	Text	Text
Output modalities	Text	Text
Capabilities
Streaming	Supported	Supported
Tool calling	Supported	Supported
Structured output (JSON)	Supported	Supported
Image input	Not supported	Not supported
Thinking mode	Supported	Supported
Price / 1M tokens
Input	$ 1.20	$ 1.00>= 32K$ 1.20
Output	$ 4.40	$ 3.80>= 32K$ 4.40
Cache read	$ 0.30	$ 0.20>= 32K$ 0.30
Cache write	$ 1.20	$ 1.00>= 32K$ 1.20
What it is good at
Best for	Million-token workflows Agentic software engineering	Long-horizon engineering Performance engineering
Published benchmarks
Terminal-Bench 2.1pass_rate	81%Terminus-2	—
SWE-Bench Proresolved_rate	62.1%(setup not fully disclosed)	58.4%(setup not fully disclosed)
KernelBench Level 3 Optimizationgeometric_mean_speedup	—	3.6×(setup not fully disclosed)
GPQA Diamondaccuracy	91.2%(setup not fully disclosed)	—
Humanity's Last Examaccuracy	40.5%	—
Humanity's Last Exam (with tools)accuracy	54.7%	—
MCP Atlas Publicscore	76.8%(setup not fully disclosed)	—
Tool Decathlonscore	48.2%(setup not fully disclosed)	—