GLM-5.2
Z AI · 3 thinking configurations
Intelligence—
Input / 1M$1.40
Output / 1M$4.40
Context1M
Tariff: Z AI · Source: artificial-analysis · USD per million tokens
Thinking configuration
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Compare this model’s measured thinking configurations.
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Efficient frontier: best measured score at each cost1 measured configurations · 2 without both values
Selected: thinking high · Click a point to switch configuration
GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level software engineering,...
DeepSWE · pass@1Software-engineering tasks on mini-swe-agent v1.1. Pass@1 across evaluated runs, with measured cost per task. The 95% intervals may overlap.
36.3 % ±4.8Specifications from the catalog
Inputtext
Outputtext
Tool callingYes
Structured outputYes
Speed161.5 tok/s
First token1.24 s
Maximum output943.7K
Catalog listing date2026-06-16
DeepSWE v1.1 · 113 tasks · mini-swe-agent · cost $2.84 / task · 122 mean steps · 54.2K mean output tokens. Published by the source 9/22/2026.