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VENICE ATLAS · MODEL DOSSIER · GLM 5.3 FLASH

Model overview

GLM 5.3 Flash

GLM-5.3 Flash is a reasoning model designed for coding, sustained agentic work, and production workloads. It is suited for long-horizon software engineering, complex reasoning, and workflows that combine text with visual context.

z-ai-glm-5-3-flash · venice.ai
Text · Venice catalog$0.15 per 1M tokensPrice on Venice AI
ModalityTextOn Venice AI
Primary price$0.15 per 1M tokensper 1M tokens
Context window1.0MMax tokens
Benchmarks15Benchmark results

Benchmark results

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

Agents4 results
Agents' Last Examagents-last-exam · agents
26.3%
ReportedOct 2026
AutomationBenchautomationbench · agents
48.8%
ReportedOct 2026
OfficeQA Proofficeqa-pro · agents
62.4%
ReportedOct 2026
Toolathlontoolathlon · agents
78.4%
ReportedOct 2026
Coding2 results
DeepSWE 1.1deepswe-1.1 · code
63.4%
ReportedOct 2026
NL2Reponl2repo · code
56.3%
ReportedOct 2026
General intelligence2 results
Artificial Analysisartificial-analysis · general
57.0%
ReportedOct 2026
GDPval-AAgdpval-aa · general
59.1%
ReportedOct 2026
Reasoning3 results
CharXiv-Rcharxiv-r · reasoning
89.4%
ReportedOct 2026
Humanity's Last Examhumanity's-last-exam · reasoning
55.3%
ReportedOct 2026
Terminal-Bench 2.1terminal-bench-2.1 · reasoning
84.3%
ReportedOct 2026
Vision4 results
BabyVisionbabyvision · vision
53.4%
ReportedOct 2026
Chartographychartography · vision
78.0%
ReportedOct 2026
MMVUmmvu · vision
80.5%
ReportedOct 2026
MVBenchmvbench · vision
77.8%
ReportedOct 2026

Learn what each benchmark measures ↗

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