AI models
GLM-4.6
Training compute
4.4×10²⁴ FLOP
Parameters
357B
Published
Sep 30, 2025
GLM-4.6 is an AI model developed by Z.ai (Zhipu AI) and Tsinghua University (China), first published in September 2025. It works in the language domain, on tasks such as language modeling/generation, question answering, code generation and 2 more.
Training it took an estimated 4.4×10²⁴ FLOP of compute (estimation method: operation counting). The model has 357,000,000,000 parameters. It was trained on roughly 23T datapoints.
Access: Open weights (unrestricted). Its weights are openly available. Epoch AI rates the confidence of this record as likely.
Full record
- Organization
- Z.ai (Zhipu AI), Tsinghua University
- Country of organization
- China
- Domain
- Language
- Task
- Language modeling/generation, Question answering, Code generation, Quantitative reasoning, System control
- Training compute
- 4.4×10²⁴ FLOP
- Compute estimation method
- Operation counting
- Parameters
- 357,000,000,000
- Dataset size
- 23T
- Training time
- 2,880 h
- Model accessibility
- Open weights (unrestricted)
- Open weights
- Yes
- Epoch confidence
- Likely
Benchmark results
| 01 | WebDev Arena | Arena Score | 1366 |
| 02 | ALE Bench | Performance | 340.8 |
| 03 | Epoch Capabilities Index | ECI Score | 141 |
| 04 | Terminal-Bench | Accuracy mean | 0.24 |
| 05 | Apex Agents | Pass@1 score | 0.03 |
More from Z.ai (Zhipu AI),Tsinghua University
SourceEpoch AI, 'AI Models'. Published online at epoch.ai. Retrieved 2026-07-29 from https://epoch.ai/data/ai-models. Licensed under CC BY 4.0.
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