GLM-5.1 is Zhipu's next-level open source model, ranking #1 in open source and #3 globally across SWE-Bench Pro, Terminal-Bench, and NL2Repo (as of April 2026). Built for long-horizon tasks, it can run autonomously for up to 8 hours. Run at FP8.
Added Mar 27, 2026
Model weightsContext Window
200.0K
Max Output
131.1K
Avg output tokens (7d)
913 tokens
Input Price (Auto)
$0.79/1M
Output Price (Auto)
$2.73/1M
Cache Read (Auto)
$0.16/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
40.2
Coding Index
55.8
Reasoning
GPQA Diamond
Graduate-level scientific reasoning
86.8%
Better than 91% of models compared
HLE
Humanity's Last Exam
28.0%
Better than 91% 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
62.3%
Better than 79% of models compared
CritPt
Research-level physics reasoning
0.0%
Coding
SciCode
Python programming for scientific computing
43.8%
Better than 88% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
43.2%
Better than 92% of models compared
Knowledge
AA-Omniscience Accuracy
Proportion of correctly answered questions
25.2%
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
63.6%
Last updated Jun 28, 2026
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GLM 5.3 Preview Thinking
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GLM 5.2
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GLM 5.2 Thinking
zai-org/glm-5.2:thinkingGLM-5.2 with thinking enabled for harder long-horizon coding, autonomous agent workflows, complex engineering optimization, and real-world development tasks.
GLM Latest
zai-org/glm-latestCompatibility alias that routes to the newest thinking GLM model. Currently routes to GLM 5.2 Thinking.
GLM 5.1 Thinking
zai-org/glm-5.1:thinkingGLM-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.