GLM 4.7 Flash
GLM-4.7-Flash is a lightweight 30B model optimized for coding and agentic tasks. Balances high performance with efficiency.
- Reasoning
- Tool Calling
- Structured Output
Added Jan 19, 2026
Model weightsPricing
Auto routing · per 1M tokens- Input
- $0.070
- Output
- $0.40
- Cache read
- $0.010
Specifications
- Context window
- 200K
- Max output
- 128K
- Parameters
- 30B / 3B
- Total / active
- Avg output (7d)
- 393 tokens
- Longer than 37% of models
Benchmarks
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 22% of models compared
Reasoning
HLE
Humanity's Last Exam
5.0%
Better than 28% 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 22% of models compared
Last updated Oct 9, 2026
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