GLM 4.7 Flash Thinking
GLM-4.7-Flash with extended thinking capabilities for complex reasoning. Lightweight 30B model optimized for coding and agentic tasks.
- Reasoning
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)
- 1.5K tokens
- Longer than 83% of models
Benchmarks
Benchmarks
Sourced from Artificial Analysis.
Intelligence Index
14.9
Agentic work
T²-Bench Telecom (legacy)
Legacy fallback · Conversational AI agents in dual-control scenarios
98.8%
Better than 99% of models compared
Document reasoning
AA-LCR v1.1
Long context reasoning with updated grading
41.7%
Better than 38% of models compared
Reasoning
HLE
Humanity's Last Exam
7.6%
Better than 44% of models compared
IFBench
Instruction-following benchmark
60.8%
Better than 72% of models compared
CritPt
Research-level physics reasoning
0.3%
Coding
Terminal-Bench Hard (legacy)
Legacy fallback · Agentic coding and terminal use
22.0%
Better than 62% of models compared
Knowledge
AA-Omniscience Accuracy
Proportion of correctly answered questions
16.2%
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
93.9%
Legacy benchmarks
GPQA Diamond (legacy)
Graduate-level scientific reasoning
58.1%
Better than 33% of models compared
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
41.7%
Better than 37% of models compared
Last updated Oct 9, 2026
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