GLM-4.7 is a next-gen GLM series text model with stronger reasoning, long-context chat, and reliable tool use. Routed directly via Z-AI (Zhipu).
Added Dec 22, 2025
Context Window
200.0K
Max Output
65.5K
Avg output tokens (7d)
537 tokens
Input Price (Auto)
$0.40/1M
Output Price (Auto)
$1.75/1M
Cache Read (Auto)
$0.080/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
17.4
Agentic work
T²-Bench Telecom (legacy)
Legacy fallback · Conversational AI agents in dual-control scenarios
94.2%
Better than 92% of models compared
Document reasoning
AA-LCR v1.1
Long context reasoning with updated grading
40.7%
Better than 36% of models compared
Reasoning
HLE
Humanity's Last Exam
6.4%
Better than 39% of models compared
IFBench
Instruction-following benchmark
54.6%
Better than 65% of models compared
CritPt
Research-level physics reasoning
0.0%
Coding
Terminal-Bench Hard (legacy)
Legacy fallback · Agentic coding and terminal use
30.3%
Better than 72% 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 46% 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%
Legacy benchmarks
GPQA Diamond (legacy)
Graduate-level scientific reasoning
66.4%
Better than 42% of models compared
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
40.7%
Better than 36% of models compared
Last updated Oct 1, 2026
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