GLM-4.7-Flash is a lightweight 30B model optimized for coding and agentic tasks. Balances high performance with efficiency.
Added Jan 19, 2026
Model weightsContext Window
200.0K
Max Output
128.0K
Avg output tokens (7d)
2.3K tokens
Input Price (Auto)
$0.070/1M
Output Price (Auto)
$0.40/1M
Cache Read (Auto)
$0.035/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
15.6
Reasoning
GPQA Diamond
Graduate-level scientific reasoning
45.2%
Better than 21% of models compared
HLE
Humanity's Last Exam
5.0%
Better than 32% of models compared
IFBench
Instruction-following benchmark
46.3%
Better than 54% of models compared
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
91.8%
Better than 87% of models compared
AA-LCR
Long context reasoning evaluation
18.3%
Better than 26% of models compared
CritPt
Research-level physics reasoning
0.0%
Coding
SciCode
Python programming for scientific computing
25.5%
Better than 29% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
3.8%
Better than 26% of models compared
Knowledge
AA-Omniscience Accuracy
Proportion of correctly answered questions
13.1%
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
94.3%
Last updated Aug 16, 2026
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