GLM-4.5 with thinking mode for enhanced reasoning; provides chain-of-thought style internal reasoning with a 128k context window.
Context Window
128.0K
Max Output
65.5K
Input Price (Auto)
$0.30/1M
Output Price (Auto)
$1.30/1M
Cache Read (Auto)
$0.15/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
19.7
Reasoning
GPQA Diamond
Graduate-level scientific reasoning
78.2%
Better than 67% of models compared
HLE
Humanity's Last Exam
13.0%
Better than 65% of models compared
IFBench
Instruction-following benchmark
44.1%
Better than 49% of models compared
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
43.0%
Better than 48% of models compared
AA-LCR
Long context reasoning evaluation
51.7%
Better than 54% of models compared
CritPt
Research-level physics reasoning
0.0%
Coding
SciCode
Python programming for scientific computing
34.8%
Better than 52% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
22.0%
Better than 62% of models compared
LiveCodeBench
Contamination-free coding benchmark
73.8%
Better than 85% of models compared
Math
AIME 2025
American Invitational Mathematics Examination 2025
73.7%
Better than 69% of models compared
AIME
American Invitational Mathematics Examination
87.3%
Better than 94% of models compared
Math-500
Diverse mathematical problem solving benchmark
97.9%
Better than 90% of models compared
Knowledge
MMLU-Pro
Professional and academic subject knowledge
83.5%
Better than 84% of models compared
AA-Omniscience Accuracy
Proportion of correctly answered questions
25.1%
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
70.1%
Last updated Aug 16, 2026
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