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.

Input:

Output:

Input:

$1.4$0.42/1M

Output:

$4.4$1.32/1M

Context length:

1M

Max output:

128K

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.

Input:

Output:

Input:

$1.4$0.42/1M

Output:

$4.4$1.32/1M

Context length:

1M

Max output:

128K

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.

Input:

Output:

Input:

$0.15$0.045/1M

Output:

$0.5$0.15/1M

Context length:

1M

Max output:

128K

Z.AI: GLM 5.3 FlashX is a faster, smoother version of GLM-5.3-Flash with inference speeds up to 200 tokens/s. Z.AI: GLM 5.3 FlashX is Z.ai’s native multi-modal model, suitable for efficient programming and long-range agent tasks. Its hybrid sparse and linear attention architecture reduces computational overhead while maintaining accurate long-context performance.

Input:

Output:

Input:

$0.375$0.1125/1M

Output:

$1.25$0.375/1M

Context length:

1M

Max output:

128K