Thinking version of the latest GLM series chat model with strong general performance. Quantized at FP8
Added Sep 29, 2025
Model weightsContext Window
200.0K
Max Output
65.5K
Avg output tokens (7d)
2.3K tokens
Input Price (Auto)
$0.35/1M
Output Price (Auto)
$1.40/1M
Cache Read (Auto)
$0.17/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
29.3
Coding Index
45.8
Agentic Index
18.6
Reasoning
GPQA Diamond
Graduate-level scientific reasoning
78.0%
Better than 66% of models compared
HLE
Humanity's Last Exam
14.5%
Better than 68% of models compared
IFBench
Instruction-following benchmark
43.4%
Better than 47% of models compared
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
70.5%
Better than 63% of models compared
AA-LCR
Long context reasoning evaluation
55.3%
Better than 58% of models compared
GDPval-AA
Economically valuable tasks
21.8%
CritPt
Research-level physics reasoning
1.1%
Coding
SciCode
Python programming for scientific computing
38.4%
Better than 64% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
25.0%
Better than 66% of models compared
LiveCodeBench
Contamination-free coding benchmark
69.5%
Better than 79% of models compared
Math
AIME 2025
American Invitational Mathematics Examination 2025
86.0%
Better than 84% of models compared
Knowledge
MMLU-Pro
Professional and academic subject knowledge
82.9%
Better than 82% of models compared
AA-Omniscience Accuracy
Proportion of correctly answered questions
26.9%
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
94.1%
Last updated Aug 16, 2026
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