GLM 4.6V

GLM 5.3

z-ai

GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks. It supports text input and output with a 1M-token context window, and improves on GLM-5.2 in coding and in the balance between performance and token efficiency. Reasoning is always on and cannot be disabled. Reasoning efforts low, high, and max are supported; max is the default.

Context

1.0M

Max output

943.7K

Released

2026-08-18

Input

$0.07/M

Output

$1.4/M

Cache read

$0.069/M

GLM 5.3 Flash

z-ai

GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context behavior while reducing compute overhead.

Context

1.0M

Max output

943.7K

Released

2026-08-26

Input

$0.15/M

Output

$0.5/M

Cache read

$0.03/M

GLM 5.2

z-ai

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, and complex multi-step automation. Reasoning efforts high and xhigh are supported; xhigh maps to max reasoning. It is particularly strong at coding and tool use across long-running tasks, able to maintain engineering context and follow standards consistently through a full development workflow, from requirements to multi-platform deployment, in a single task.

Context

1.0M

Max output

943.7K

Released

2026-06-16

Input

$0.034/M

Output

$7/M

Cache read

$0.033/M