glm-5.3

glm-5.3

Zhipu's new-generation general-purpose flagship large model
2026-08-20
LLM
Model capability: thinkingModel capability: function_call
Cache Read:
$0.26/1M tokens
Input:
$1.4/1M tokens
Output:
$4.4/1M tokens
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API Overview

GLM-5.3 is a next-generation, general-purpose flagship large model developed by Zhipu AI, designed for complex long-range intelligent agents, full-stack software engineering, and high-density logical reasoning. As a new milestone in the GLM family, GLM-5.3 has achieved a leap-forward improvement in areas such as automatic code generation and repair, multi-step tool invocation, and long-chain reasoning in complex scenarios. The model natively supports deep thinking and adaptive reflection mechanisms, and when combined with Zhipu’s signature multimodal understanding and ultra-long-context technologies, it can precisely handle enterprise-level complex software refactoring, fully automated research and analysis, and cross-system workflow orchestration tasks.

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Core Capabilities

Full-Stack Coding and Autonomous Agent Transformation: Specifically designed for engineering-grade code repair and software construction optimization. It boasts exceptional “planning-execution-self-validation” capabilities in parsing large multi-file codebases, automatically locating bugs, and performing code refactoring, significantly reducing trial-and-error costs.

Adaptive Deep-Thinking Mode: Natively integrates deep logical reasoning chains and supports on-demand configuration of thinking depth, demonstrating an exceptionally high success rate in tackling highly challenging mathematical and logical derivations, lengthy financial and legal document audits, and logical decision-making tasks.

High Throughput and Precise Tool Orchestration: Optimizes alignment granularity for complex function calls and external toolchains, enabling low-latency output of structured data and easily driving sophisticated Multi-Agent systems.

Milions-Level Long Context and Efficient Caching: Offers an ultra-large, high-fidelity context window, coupled with a Prompt Caching mechanism, dramatically reducing costs associated with frequent queries on long documents and codebases.

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API Analytics

API Reference (1)

API DescriptionAPI EndpointRequest MethodStabilityParameter Description
Chat (Zhipu GLM Multimodal)
POST
Stable
View Details

API Pricing

$
ModelDescriptionContextOfficial Price302.AI PriceOfficial Price Gap

glm-5.3

-
1000000

Input$1.4 / 1M tokens
Output$4.4 / 1M tokens

Cache Read$0.26 / 1M tokens
Input$1.4 / 1M tokens
Output$4.4 / 1M tokens

Original Price