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
Avg output tokens (7d)
1.7K tokens
Input Price (Auto)
$0.98/1M
Output Price (Auto)
$3.08/1M
Cache Read (Auto)
$0.18/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
41.0
Coding Index
55.8
Agentic Index
30.6
Reasoning
GPQA Diamond
Graduate-level scientific reasoning
86.8%
Better than 85% of models compared
HLE
Humanity's Last Exam
30.1%
Better than 86% of models compared
IFBench
Instruction-following benchmark
76.3%
Better than 95% of models compared
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
97.7%
Better than 98% of models compared
AA-LCR
Long context reasoning evaluation
68.0%
Better than 75% of models compared
GDPval-AA
Economically valuable tasks
37.9%
CritPt
Research-level physics reasoning
4.6%
Coding
SciCode
Python programming for scientific computing
43.8%
Better than 81% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
43.2%
Better than 90% 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%
Last updated Aug 16, 2026
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