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AI123AI Modelsz-aiGLM 5.3 Prime
GLM 5.3 Prime

GLM 5.3 Prime

z-ai

GLM-5.3-Prime is the high-speed variant of Z.ai's GLM-5.3, inheriting its full capabilities while delivering 1.5–2× the output throughput through inference acceleration. It supports text input and output with a 1M-token context window and up to 128K output tokens, and targets coding and agentic workloads, including long-horizon multi-turn agent orchestration, real-time conversation, and streaming code generation.

Reasoning is always on and cannot be disabled. Reasoning efforts low, high, and max are supported; max is the default.

Modalities
TT
Input / output price
$2.8/$8.8per 1M tokens
Context
1.0M
Released
2026-09-23
PricingRelated Models

Pricing

Usage prices in USD. Token rates are per one million tokens; other billing units are shown with each charge.
InputOutputCache read
$2.80/ 1M tokens$8.80/ 1M tokens$0.56/ 1M tokens

Related Models

GLM 5.3

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

GLM 5.3 Flash

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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

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
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