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 |
 FLAN-UL2
|
Qwen |
|---|---|---|
| Developer | Alibaba Cloud | |
| Current generation | – | Qwen 3.8 |
| Initial release | 2023-03-03 | 2023-09-13 |
| Instruct tuned | Yes | Yes |
| Coding | No | Yes |
| Finetuning | Yes | Yes |
| Open source | Yes | Yes |
| License | Apache 2.0 | Mixed; Apache 2.0 open weights and hosted previews |
| Model sizes | 20B | Undisclosed for Qwen 3.8 preview |
| 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.
Qwen is Alibaba's broad family of open and hosted models for reasoning, coding, multimodal understanding, and agents. Qwen 3.8 Max Preview is the current generation.
Qwen, formerly Tongyi Qianwen, is a family of language and multimodal models developed by Alibaba. It includes general-purpose, coding, vision-language, audio, embedding, and reasoning variants. Qwen 3.8 Max Preview is the current hosted flagship, with support for multimodal and agentic workflows. Earlier Qwen generations, including Qwen 3.6 checkpoints, remain available as Apache 2.0 open weights; availability and licensing should therefore be checked per model.