GLM 4.6 Thinking
Thinking version of the latest GLM series chat model with strong general performance. Quantized at FP8
- Reasoning
- Tool Calling
- Structured Output
Added Sep 29, 2025
Model weightsPricing
Auto routing · per 1M tokens- Input
- $0.50
- Output
- $2.00
- Cache read
- $0.100
Specifications
- Context window
- 200K
- Max output
- 65.5K
- Parameters
- 357B / 32B
- Total / active
- Avg output (7d)
- 2.2K tokens
- Longer than 93% of models
Benchmarks
Benchmarks
Sourced from Artificial Analysis.
Intelligence Index
18.5
Coding Index
45.8
Agentic work
T²-Bench Telecom (legacy)
Legacy fallback · Conversational AI agents in dual-control scenarios
70.5%
Better than 63% of models compared
GDPval-AA v2
Economically valuable tasks (Elo)
761 Elo
Better than 35% of models compared
Document reasoning
AA-LCR v1.1
Long context reasoning with updated grading
54.0%
Better than 47% of models compared
Reasoning
HLE
Humanity's Last Exam
14.5%
Better than 61% of models compared
IFBench
Instruction-following benchmark
43.4%
Better than 47% of models compared
CritPt
Research-level physics reasoning
1.1%
Coding
Terminal-Bench Hard (legacy)
Legacy fallback · Agentic coding and terminal use
25.0%
Better than 66% of models compared
LiveCodeBench
Contamination-free coding benchmark
69.5%
Better than 79% of models compared
Math
AIME 2025
American Invitational Mathematics Examination 2025
86.0%
Better than 84% of models compared
Knowledge
MMLU-Pro
Professional and academic subject knowledge
82.9%
Better than 82% of models compared
AA-Omniscience Accuracy
Proportion of correctly answered questions
26.9%
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
94.1%
Legacy benchmarks
GPQA Diamond (legacy)
Graduate-level scientific reasoning
78.0%
Better than 63% of models compared
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
54.0%
Better than 47% of models compared
GDPval-AA (unversioned / legacy)
Economically valuable tasks
12.3%
Last updated Oct 3, 2026
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