Gemini 2.5 Flash-Lite
No estimate
No hardware requirements for this model
The weights for this model have not been published, so it cannot be downloaded or run on your own hardware at any size. It is reachable only through its provider, and no graphics card changes that.
On record
Full specification
Everything on record for this model. Most of it describes how it was trained rather than how it runs — useful context for judging how much work went into it, and how it compares with models built at a different scale.
Origin
Who built this model, where, and when it was published.
- Organisation
- Google DeepMind
- Organisation type
- Industry
- Country
- United States of America
- Published
- 15 June 2025
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Language, Vision, Video, Speech, Multimodal
- Task
- Language modeling/generation, Question answering, Translation, Text classification, Quantitative reasoning, Search, Code generation, Visual question answering, Video description, Speech recognition (ASR), Character recognition (OCR), System control
Size
How large the model is and how much data it was trained on. Parameters are the figure that decides whether it fits on a given graphics card.
- Training data
- tokens
Availability
Whether you can obtain the model and run it on your own hardware, which is what decides if any of the graphics-card figures on this page apply.
- Weights
- Closed — provider access only
- Model access
- API access
- Training code
- Unreleased
Google AI Studio Gemini API Vertex AI
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Record confidence
- Unknown
Sources
Where this record came from and when it was last checked.
- Reference
- Best for high volume, cost efficient tasks
- Last updated
- 11 February 2026
What the numbers mean
Background
Gemini 2.5 Flash-Lite was published by Google DeepMind, in United States of America, in June 2025. It comes out of industry.
It works in Language, Vision, Video, Speech, Multimodal, and is recorded as doing language modeling/generation, Question answering, Translation, Text classification, Quantitative reasoning, Search, Code generation, Visual question answering, Video description, Speech recognition (ASR), Character recognition (OCR), System control.
This is a closed model: the trained values stayed with whoever produced them, and there is no local version to run.
Answers
Gemini 2.5 Flash-Lite — common questions
Who created Gemini 2.5 Flash-Lite?
Gemini 2.5 Flash-Lite was published by Google DeepMind, based in United States of America, categorised as industry.
When was Gemini 2.5 Flash-Lite released?
Gemini 2.5 Flash-Lite was published in June 2025.
What is Gemini 2.5 Flash-Lite used for?
Gemini 2.5 Flash-Lite works in Language, Vision, Video, Speech, Multimodal, and is recorded as handling language modeling/generation, Question answering, Translation, Text classification, Quantitative reasoning, Search, Code generation, Visual question answering, Video description, Speech recognition (ASR), Character recognition (OCR), System control. These are the areas it was designed around; they describe intent rather than a hard boundary.
What GPU do I need to run Gemini 2.5 Flash-Lite?
None. Gemini 2.5 Flash-Lite is a closed model — its weights were never published, so it cannot be downloaded or run on your own hardware at any price. It is reachable only through its provider.
Is Gemini 2.5 Flash-Lite open source?
No. Gemini 2.5 Flash-Lite has not had its weights published, so it exists only as a service controlled by its owner.
How many parameters does Gemini 2.5 Flash-Lite have?
No parameter count has been published for Gemini 2.5 Flash-Lite, which is why no memory or speed figure appears on this page.
The other direction
Looking at it from the other side?
This page starts from the model. If you already own a card and want to know everything it will run, start from the hardware instead.