GLM-4.7 is a next-gen GLM series text model with stronger reasoning, long-context chat, and reliable tool use.
Added Dec 22, 2025
Model weightsContext Window
200.0K
Max Output
65.5K
Avg output tokens (7d)
680 tokens
Input Price (Auto)
$0.21/1M
Output Price (Auto)
$0.84/1M
Cache Read (Auto)
$0.11/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
26.6
Reasoning
GPQA Diamond
Graduate-level scientific reasoning
66.4%
Better than 49% of models compared
HLE
Humanity's Last Exam
6.1%
Better than 48% of models compared
IFBench
Instruction-following benchmark
54.6%
Better than 67% of models compared
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
94.2%
Better than 92% of models compared
AA-LCR
Long context reasoning evaluation
36.3%
Better than 51% of models compared
CritPt
Research-level physics reasoning
0.0%
Coding
SciCode
Python programming for scientific computing
35.4%
Better than 59% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
30.3%
Better than 74% of models compared
LiveCodeBench
Contamination-free coding benchmark
56.2%
Better than 63% of models compared
Math
AIME 2025
American Invitational Mathematics Examination 2025
48.0%
Better than 47% of models compared
Knowledge
MMLU-Pro
Professional and academic subject knowledge
79.4%
Better than 64% of models compared
AA-Omniscience Accuracy
Proportion of correctly answered questions
23.6%
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
92.9%
Last updated Jun 28, 2026
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