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GLM-5GLM-5.2 Add a modelChat with these 2

AttributeHide identical rows	GLM-5z-ai/glm-5	GLM-5.2z-ai/glm-5.2
Specs
Context window	200K	1M
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	$ 0.60>= 32K$ 0.80	$ 1.20
Output	$ 3.00>= 32K$ 3.40	$ 4.40
Cache read	$ 0.16>= 32K$ 0.20	$ 0.30
Cache write	$ 0.60>= 32K$ 0.80	$ 1.20
What it is good at
Best for	System engineering	Million-token workflows Agentic software engineering
Published benchmarks
Terminal-Bench 2.0pass_rate	56.2%(setup not fully disclosed)	—
Terminal-Bench 2.1pass_rate	—	81%Terminus-2
SWE-Bench Proresolved_rate	—	62.1%(setup not fully disclosed)
SWE-Bench Verifiedresolved_rate	77.8%(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)