GLM-5.1 with extended reasoning mode for multi-step planning and tool-heavy workflows. Running inside a TEE (Trusted Execution Environment), with provider attestation support.
Added Apr 20, 2026
Model weightsContext Window
202.8K
Max Output
65.5K
Avg output tokens (7d)
1.5K tokens
Input Price (Auto)
$0.70/1M
Output Price (Auto)
$2.50/1M
Cache Read (Auto)
$0.18/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
27.4
Coding Index
55.8
Agentic work
AutomationBench-AA
Workflow automation with guardrail penalties
20.3%
Better than 47% of models compared
AA-Briefcase
Agentic knowledge work (Elo)
964 Elo
Better than 54% of models compared
GDPval-AA v2
Economically valuable tasks (Elo)
1180 Elo
Better than 62% of models compared
Document reasoning
GDP.pdf
Professional PDF reasoning: all-pass rate
8.4%
Better than 41% of models compared
AA-LCR v1.1
Long context reasoning with updated grading
73.7%
Better than 75% of models compared
Reasoning
HLE
Humanity's Last Exam
30.1%
Better than 82% of models compared
IFBench
Instruction-following benchmark
76.3%
Better than 95% of models compared
Coding
Terminal-Bench v4.0
Practical coding and terminal tasks
2.0%
Better than 53% of models compared
SciCode
Python programming for scientific computing
44.8%
Better than 41% of models compared
Legacy benchmarks
GPQA Diamond (legacy)
Graduate-level scientific reasoning
86.8%
Better than 82% of models compared
Terminal-Bench Hard (legacy)
Agentic coding and terminal use
43.2%
Better than 90% of models compared
T²-Bench Telecom (legacy)
Conversational AI agents in dual-control scenarios
97.7%
Better than 98% of models compared
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
73.7%
Better than 74% of models compared
Last updated Sep 9, 2026
Artificial AnalysisProviders
Choose explicit providers for this model. Auto routing remains available as the default option.
Loading provider options…
Related text models
Compare GLM 5.1 Thinking TEE with similar models from the same provider or model family.
GLM 5.3 TEE
TEE/glm-5.3GLM-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.
GLM 5.3 Flash TEE
TEE/glm-5.3-flashGLM-5.3 Flash is Z.AI's natively multimodal 320B MoE reasoning model with 18B active parameters. This TEE deployment is verified through the selected provider: Redpill attestation with signed completion receipts or the official Tinfoil SDK's ATC/EHBP verification.
GLM 5.2 TEE
TEE/glm-5.2GLM-5.2 is Z.AI's flagship model for long-horizon tasks and autonomous workflows, with a 1M-token context window. Running inside a TEE (Trusted Execution Environment), with attestation support.
GLM 5.2 Thinking TEE
TEE/glm-5.2:thinkingGLM-5.2 with thinking enabled for harder long-horizon coding, autonomous agent workflows, and complex engineering tasks. Running inside a TEE (Trusted Execution Environment), with attestation support.
GLM 5.1 TEE
TEE/glm-5.1GLM-5.1 is Z.AI's next-gen model optimized for long-horizon agent workflows and deep reasoning. Running inside a TEE (Trusted Execution Environment), with provider attestation support.
GLM 5.3 Flash
z-ai/glm-5.3-flashox-alpha out of stealth! GLM-5.3 Flash is Z.ai's first natively multimodal GLM-5 model, with 320B total parameters and just 18B active parameters for efficient coding, agentic work, and precise 1M-token context. Its hybrid sparse-and-linear attention architecture helps it outperform GLM-5.2 at one-tenth the price while approaching Claude Opus 4.8 on coding and agentic benchmarks.