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
|
 Gemma
|
|---|---|---|
| Developer | ||
| Current generation | – | Gemma 4 |
| Initial release | 2023-03-03 | 2024-02-21 |
| Instruct tuned | Yes | Yes |
| Coding | No | Yes |
| Finetuning | Yes | Yes |
| Open source | Yes | Yes |
| License | Apache 2.0 | Apache 2.0 |
| Model sizes | 20B | E2B, E4B, 12B, 26B (3.8B active), 31B |
| 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.
Gemma is Google's family of efficient open models for local, edge, and self-hosted deployment. Gemma 4 is the current generation, spanning mobile-scale through workstation-scale models.
Google introduced Gemma in February 2024 as a family of lightweight open models built from the same research used for Gemini. Gemma 2 improved efficiency and model quality, while Gemma 3 added multimodal input and longer context. Gemma 4, released in April 2026 under Apache 2.0, adds advanced reasoning, agentic tool use, code generation, image and video understanding, and models ranging from edge-focused E2B and E4B variants to 12B, 26B mixture-of-experts, and 31B dense checkpoints.