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
Input Price (Auto)
$0.070/1M
Output Price (Auto)
$0.40/1M
Cache Read (Auto)
$0.010/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
10.6
Agentic work
T²-Bench Telecom (legacy)
Legacy fallback · Conversational AI agents in dual-control scenarios
91.8%
Better than 87% of models compared
Document reasoning
AA-LCR v1.1
Long context reasoning with updated grading
20.3%
Better than 24% of models compared
Reasoning
HLE
Humanity's Last Exam
5.0%
Better than 30% of models compared
IFBench
Instruction-following benchmark
46.3%
Better than 54% of models compared
CritPt
Research-level physics reasoning
0.0%
Coding
Terminal-Bench Hard (legacy)
Legacy fallback · 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%
Legacy benchmarks
GPQA Diamond (legacy)
Graduate-level scientific reasoning
45.2%
Better than 19% of models compared
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
20.3%
Better than 24% of models compared
Last updated Sep 19, 2026
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