LLM Reference

T5 Models by Google DeepMind

Google DeepMindApache 2.0Open source
This model family is considered obsolete. Consider newer alternatives in Related Model Families below.
5 models2020Up to 512 ctx

Last refreshed 2026-05-19. Next refresh: weekly.

Details

ResearcherGoogle DeepMind
LicenseApache 2.0OSI-approved
Commercial useCommercial use: permitted
Models5
Released2020
Max context512

About

The T5 (Text-to-Text Transfer Transformer) family of large language models, developed by Google AI, signifies a notable leap forward in natural language processing (NLP) 5910. Departing from traditional models tailored for specific tasks, T5 employs a unified text-to-text framework that transforms all NLP problems into text-to-text tasks 5910. This framework allows for uniform utilization of the model, loss function, and hyperparameters across a spectrum of NLP tasks, such as machine translation, summarization, question answering, and classification 5910. Pre-training is executed on the expansive Colossal Clean Crawled Corpus (C4), ensuring access to an extensive range of high-quality text and code 5910. The T5 family comprises models of various sizes, accommodating different computational requirements, with larger models capable of delivering state-of-the-art performance on numerous NLP benchmarks 5910. Enhancements like instruction tuning in subsequent models, such as the Flan-T5 family, build upon the robust T5 architecture to further advance capabilities 10.

Decision facts

Best fit
coding
Capability starting point
T5 11B with 512 context
Lowest tracked input
Not tracked
Closest related family
T5Gemma

Current Variants

Use-when guidance is based on each model's tracked capabilities, context window, release date, and replacement status.

5 in view
T5 11BCurrent

Use when the workload needs 512 context and 11B parameters.

2020-01512 context11B parameters
T5 3BCurrent

Use when the workload needs 512 context and 3B parameters.

2020-01512 context3B parameters
T5 LargeCurrent

Use when the workload needs 512 context and 770M parameters.

2020-01512 context770M parameters
T5 BaseCurrent

Use when the workload needs 512 context and 220M parameters.

2020-01512 context220M parameters
T5 SmallCurrent

Use when the workload needs 512 context and 60M parameters.

2020-01512 context60M parameters

Release Timeline

1 release group
2020-01
5 current
T5 11B
512 context11B parameters
Current
T5 3B
512 context3B parameters
Current
T5 Base
512 context220M parameters
Current
T5 Large
512 context770M parameters
Current
T5 Small
512 context60M parameters
Current

Specifications(5 models)

T5 model specifications comparison
ModelReleasedContextParameters
T5 11B2020-0151211B
T5 3B2020-015123B
T5 Large2020-01512770M
T5 Base2020-01512220M
T5 Small2020-0151260M