FLAN-UL2
Similar to FLAN-T5, FLAN-UL2 is a model based on Google's popular T5 architecture with an upgraded pre-training procedure dubbed UL2. On most NLU benchmarks, FLAN-UL2 outperforms FLAN-T5 by a significant margin.
A side-by-side comparison of release history, capabilities, licensing and model sizes.
| Attribute |
|
GLM |
|---|---|---|
| Developer | Z.ai | |
| Current generation | – | GLM-5.2 |
| Initial release | 2023-03-03 | 2022-08-04 |
| Instruct tuned | Yes | Yes |
| Coding | No | Yes |
| Finetuning | Yes | Yes |
| Open source | Yes | Yes |
| License | Apache 2.0 | MIT |
| Model sizes | 20B | 744B (40B active) |
| Links |
Similar to FLAN-T5, FLAN-UL2 is a model based on Google's popular T5 architecture with an upgraded pre-training procedure dubbed UL2. On most NLU benchmarks, FLAN-UL2 outperforms FLAN-T5 by a significant margin.
GLM is Z.ai's open-weight model family for reasoning, coding, agents, and long-horizon work. GLM-5.2 is the current generation with a one-million-token context window.
The GLM family began with bilingual pretrained models and evolved through the ChatGLM and GLM-4 generations. GLM-5 scaled the mixture-of-experts architecture to 744B total parameters with 40B active parameters. GLM-5.2, released in June 2026, adds a stable one-million-token context window, stronger long-horizon coding and agent performance, adjustable reasoning effort, and efficiency improvements for sparse attention. Its weights are available under the MIT license.