Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across...
Specs
More models from Google
Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across...
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Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.
Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning. It is designed for tasks that require responsive performance and reliable multi-step...
Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development. It is designed to produce polished outputs with fewer unnecessary edits and...
Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities. It is suited for subagents that execute focused tasks within complex, multi-agent workflows.
Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) is Google's fastest, most cost-efficient Gemini image model, built for high-velocity developer pipelines and rapid-fire visual exploration. It delivers text-to-image generation...
Questions about T5
What is T5?
Text-to-Text Transfer Transformer: treats every task (translate, summarise, answer) as turning one text into another. Open and widely fine-tuned.
How big is the context window of T5?
T5 can read up to 512 tokens in one request, roughly 384 words.
Is T5 open source?
T5 has open weights, so you can download and run it yourself, subject to its licence.
Can I still use T5?
T5 has been replaced by newer models, but its weights can still be downloaded and run, subject to its licence.
What can T5 take as input?
T5 accepts text and produces text.
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Specs come from the provider's announcement and papers. Last checked 23 Oct 2019.