Venice Atlas
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VENICE ATLAS · MODEL DOSSIER · GLM 5.3

Model overview

GLM 5.3

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.

z-ai-glm-5-3 · venice.ai
Text · Venice catalog$1.75 per 1M tokensPrice on Venice AI
ModalityTextOn Venice AI
Primary price$1.75 per 1M tokensper 1M tokens
Context window1MMax tokens
Benchmarks17Benchmark results

Benchmark results

See the tests behind each score. They use the benchmark’s original scoring scale.

Agents#1336.88 ratingCoding#1039.22 ratingVision#1434.18 ratingGeneral intelligence#1250.77 ratingMath#741.55 ratingReasoning#1150.49 ratingSafety#522.50 ratingSystems#417.19 ratingTool Calling#830.43 rating
Agents6 results
Agents' Last Examagents-last-exam · agents
28.5%
ReportedOct 2026
AutomationBenchautomationbench · agents
48.2%
ReportedOct 2026
ExploitGymexploitgym · agents
15.0%
ReportedOct 2026
PostTrainBenchposttrainbench · agents
39.8%
ReportedOct 2026
Program Benchprogram-bench · agents
19.0%
ReportedOct 2026
Toolathlontoolathlon · agents
73.0%
ReportedOct 2026
Coding6 results
CyberGymcybergym · code
84.5%
ReportedOct 2026
DeepSWE 1.1deepswe-1.1 · code
66.9%
ReportedOct 2026
ExploitBenchexploitbench · code
54.4%
ReportedOct 2026
FrontierSWEfrontierswe · code
78.1%
ReportedOct 2026
NL2Reponl2repo · code
58.0%
ReportedOct 2026
SWE-Marathonswe-marathon · code
42.5%
ReportedOct 2026
General intelligence1 result
GDPval-AAgdpval-aa · general
59.0%
ReportedOct 2026
Reasoning4 results
Humanity's Last Examhumanity's-last-exam · reasoning
62.5%
ReportedOct 2026
Terminal-Bench 2.1terminal-bench-2.1 · reasoning
88.2%
ReportedOct 2026
Terminal-Bench 3.0terminal-bench-3.0 · reasoning
28.3%
ReportedOct 2026
Terminal-Bench 4.0terminal-bench-4.0 · reasoning
41.8%
ReportedOct 2026

Learn what each benchmark measures ↗

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