Z AI
Released August 18, 2026

GLM-5.3

GLM-5.3 by Z AI: bilingual foundation model featuring a 1M token context window, long-horizon reasoning, and enhanced tool-calling agent capabilities.

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Model Overview

Capabilities, design details, and architectural traits

GLM-5.3 - Frontier Long-Context Foundation Model for Agentic Workflows

GLM-5.3 is Zhipu AI's (Z AI) flagship foundation model, engineered specifically for extended long-horizon reasoning, complex multi-step agentic execution, and high-fidelity bilingual comprehension across English and Chinese. It builds upon the GLM-5 architecture with substantial upgrades to token processing efficiency, retrieval-augmented reasoning over massive document corpora, and autonomous tool use.

TraitDetail
Context Window1,000,000 tokens (1M tokens) native context capacity
Bilingual MasteryProficiency in Chinese and English reasoning, translation, and synthesis
Agentic WorkflowsNative multi-turn tool calling, structured JSON output, and robust API orchestration
Core ArchitectureOptimized MoE / dense transformer hybrid with rotary position embeddings (RoPE) for stable long-context needle retrieval
Efficiency FocusLower latency per token generation and high throughput for production developer deployment

Long-Context Reasoning & Agentic Capabilities

With its 1M token context window, GLM-5.3 excels at ingesting entire repositories of code, multi-volume legal and financial dossiers, and extensive conversational histories without loss of retrieval fidelity. The model incorporates fine-grained reasoning policies that allow it to plan, call external tools, and verify intermediate results before producing final outputs, making it ideal for agent-driven software engineering and enterprise research systems.

Benchmark Performance

Independent evaluations · Artificial Analysis

44.8%
Intelligence
74.8%
Coding Index
53.1%
Agentic Index

Accuracy & Capability Details

GPQA - Graduate Science91.7%
Humanity's Last Exam42.3%
SciCode - Scientific Coding59.0%
Long Context Reasoning79.7%

Compare Models Side-by-Side

Evaluate specifications, pricing, and independent benchmark indices

Model Details
General Info
ProviderZ AIAnthropicAnthropic
Release DateAugust 18, 2026September 22, 2026September 28, 2026
Knowledge Cutoff--Jun 2026
Context & Limits
Context Window1M1M1M
Pricing (per 1M tokens)
Input Pricing
$1.40
Best Input Pricing
$4$2
Output Pricing
$4.40
Best Output Pricing
$20$10
Modalities
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Outputs
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Benchmarks (0-100)
Intelligence Index44.8
57.6
Best Intelligence Index
56.0
Coding Index74.8--
Agentic Index53.1--
GLM-5.3
Claude Opus 5.5
Claude Sonnet 5.5

Humanity's Last Exam

Extremely difficult logical reasoning and knowledge.

42%
GLM-5.3
Humanity's Last Exam
Score: 42%
GLM-5.3
61%
Claude Opus 5.5
Humanity's Last Exam
Score: 61%
Claude Opus 5.5
55%
Claude Sonnet 5.5
Humanity's Last Exam
Score: 55%
Claude Sonnet 5.5

Long Context Reasoning

Logical reasoning over long context windows.

80%
GLM-5.3
Long Context Reasoning
Score: 80%
GLM-5.3
85%
Claude Opus 5.5
Long Context Reasoning
Score: 85%
Claude Opus 5.5
83%
Claude Sonnet 5.5
Long Context Reasoning
Score: 83%
Claude Sonnet 5.5

SciCode Benchmark

Scientific coding and mathematical modeling.

59%
GLM-5.3
SciCode Benchmark
Score: 59%
GLM-5.3
67%
Claude Opus 5.5
SciCode Benchmark
Score: 67%
Claude Opus 5.5
61%
Claude Sonnet 5.5
SciCode Benchmark
Score: 61%
Claude Sonnet 5.5

Independent evaluation data provided by Artificial Analysis. To view the latest benchmarks and full details, visit their official site.

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