GLM 5.3 TEE

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.

  • Reasoning
  • Tool Calling
  • Parallel Tool Calls
  • Structured Output

Added Aug 31, 2026

Model weights

Pricing

Auto routing · per 1M tokens
Input
$1.40
Output
$4.40
Cache read
$0.26
Compare provider prices

Specifications

Context window
1M
Max output
131.1K
Parameters
744B / 40B
Total / active
Avg output (7d)
1.3K tokens
Longer than 81% of models

Benchmarks

Sourced from Artificial Analysis.

Intelligence Index

44.8

Better than 95% of models compared

Coding Index

74.8

Better than 90% of models compared

Agentic Index

53.1

Better than 95% of models compared

Agentic work

AutomationBench-AA

Workflow automation with guardrail penalties

62.2%

Better than 90% of models compared

AutomationBench-AA Tasks Completed

Fully completed workflows without guardrail violations

29.4%

Better than 43% of models compared

AA-Briefcase

Agentic knowledge work (Elo)

1510 Elo

Better than 88% of models compared

GDPval-AA v2

Economically valuable tasks (Elo)

1653 Elo

Better than 95% of models compared

Document reasoning

GDP.pdf

Professional PDF reasoning: all-pass rate

11.2%

Better than 45% of models compared

AA-LCR v1.1

Long context reasoning with updated grading

79.7%

Better than 85% of models compared

MLCR-AA

Medical long-context reasoning

48.3%

Better than 87% of models compared

Reasoning

HLE

Humanity's Last Exam

42.3%

Better than 90% of models compared

CritPt

Research-level physics reasoning

19.1%

Coding

Terminal-Bench v4.0

Practical coding and terminal tasks

41.9%

Better than 87% of models compared

SciCode

Python programming for scientific computing

59.0%

Better than 93% 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 93% of models compared

AA-LCR (unversioned / legacy)

Long context reasoning evaluation

79.7%

Better than 84% of models compared

GDPval-AA (unversioned / legacy)

Economically valuable tasks

57.5%

Last updated Oct 15, 2026

Artificial Analysis

Providers

Choose explicit providers for this model. Auto routing remains available as the default option.

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