GLM-5.1 with extended thinking enabled. Ranks #1 in open source and #3 globally across SWE-Bench Pro, Terminal-Bench, and NL2Repo (as of April 2026). Excels at long-horizon tasks, running autonomously for up to 8 hours while refining strategies through thousands of iterations. Run at FP8.
Added Mar 27, 2026
Model weightsContext Window
200.0K
Max Output
131.1K
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
26.4
Coding Index
55.8
Agentic Index
25.2
Agentic work
AutomationBench-AA
Workflow automation with guardrail penalties
20.3%
Better than 48% of models compared
AA-Briefcase
Agentic knowledge work (Elo)
964 Elo
Better than 52% 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 74% 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
CritPt
Research-level physics reasoning
4.6%
Coding
Terminal-Bench v4.0
Practical coding and terminal tasks
2.0%
Better than 55% of models compared
SciCode
Python programming for scientific computing
44.8%
Better than 43% of models compared
Knowledge
AA-Omniscience Accuracy
Proportion of correctly answered questions
23.7%
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
29.9%
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
GDPval-AA (unversioned / legacy)
Economically valuable tasks
34.0%
Last updated Sep 19, 2026
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