GLM 4.7 Original
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).
- Reasoning
- Tool Calling
- Structured Output
Added Dec 22, 2025
Pricing
Auto routing · per 1M tokens- Input
- $0.40
- Output
- $1.93
- Cache read
- $0.080
Specifications
- Context window
- 200K
- Max output
- 65.5K
- Parameters
- 355B / 32B
- Total / active
- Avg output (7d)
- 598 tokens
- Longer than 50% of models
Benchmarks
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 9, 2026
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