GLM-5.3 is Z.AI's open-weight reasoning model for complex software engineering, autonomous agents, vulnerability research, and long-horizon tasks. Reasoning is always on; choose low, high, or max reasoning effort (defaults to max). This text-only TEE deployment is verified through the selected provider: Redpill attestation with signed completion receipts or the official Tinfoil SDK's ATC/EHBP verification.
Added Aug 31, 2026
Model weightsContext Window
1.0M
Max Output
131.1K
Avg output tokens (7d)
1.3K tokens
Input Price (Auto)
$1.40/1M
Output Price (Auto)
$4.40/1M
Cache Read (Auto)
$0.26/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
44.9
Coding Index
74.8
Agentic Index
53.4
Agentic work
AutomationBench-AA
Workflow automation with guardrail penalties
62.2%
Better than 94% of models compared
AutomationBench-AA Tasks Completed
Fully completed workflows without guardrail violations
29.4%
Better than 58% of models compared
AA-Briefcase
Agentic knowledge work (Elo)
1513 Elo
Better than 91% of models compared
GDPval-AA v2
Economically valuable tasks (Elo)
1667 Elo
Better than 97% of models compared
Document reasoning
GDP.pdf
Professional PDF reasoning: all-pass rate
11.2%
Better than 50% of models compared
AA-LCR v1.1
Long context reasoning with updated grading
79.7%
Better than 88% of models compared
Reasoning
HLE
Humanity's Last Exam
42.3%
Better than 93% of models compared
CritPt
Research-level physics reasoning
19.1%
Coding
Terminal-Bench v4.0
Practical coding and terminal tasks
41.9%
Better than 90% of models compared
SciCode
Python programming for scientific computing
59.0%
Better than 96% of models compared
Knowledge
AA-Omniscience Accuracy
Proportion of correctly answered questions
33.9%
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
29.6%
Legacy benchmarks
GPQA Diamond (legacy)
Graduate-level scientific reasoning
91.7%
Better than 92% of models compared
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
79.7%
Better than 88% of models compared
GDPval-AA (unversioned / legacy)
Economically valuable tasks
58.4%
Last updated Sep 11, 2026
Artificial AnalysisProviders
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