Gemini 2.5 Pro (Jun 2025)
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
- 5 June 2025
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Language, Vision, Video, Multimodal, Speech
- Task
- Language modeling/generation, Question answering, Code generation, Quantitative reasoning, Visual question answering, Translation, Image captioning, Video description, Speech recognition (ASR)
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
Availability Google AI Studio Gemini API Gemini App
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Likely above 10²³ FLOP
- Yes
- Why it is tracked
- SOTA improvement
- Record confidence
- Unknown
"Gemini also continues to stand out for achieving the SoTA score on both the LOFT and MRCR long-context tasks at 128k context, and is the only one, amongst the models examined in the above table, to support context lengths of 1M+ tokens." Table 4
Sources
Where this record came from and when it was last checked.
- Reference
- Gemini 2.5: Our most intelligent AI model
- Last updated
- 11 February 2026
What the numbers mean
Background
Gemini 2.5 Pro (Jun 2025) was published by Google DeepMind, in the country recorded as United States of America, during June 2025. The publishing organisation is categorised as industry.
It works in the domain of Language, Vision, Video, Multimodal, Speech, and is recorded as performing the task of language modeling/generation, Question answering, Code generation, Quantitative reasoning, Visual question answering, Translation, Image captioning, Video description, Speech recognition (ASR).
Its weights were never published, so it can only be reached through its provider. No graphics card changes that.
Training and provenance
The reason it appears in this catalogue at all: sOTA improvement.
Answers
Gemini 2.5 Pro (Jun 2025) — common questions
Gemini 2.5 Pro (Jun 2025)— is it open source?
No. Its weights have not been published, so it exists only as a service controlled by its owner.
Gemini 2.5 Pro (Jun 2025)— how many parameters does it have?
No parameter count has been published for it, which is why no memory or speed figure appears on this page.
Gemini 2.5 Pro (Jun 2025)— who created it?
It was published by Google DeepMind, based in United States of America, an organisation categorised as industry.
Gemini 2.5 Pro (Jun 2025)— when was it released?
It was published in June 2025.
Gemini 2.5 Pro (Jun 2025)— what is it used for?
It works in the domain of Language, Vision, Video, Multimodal, Speech, and is recorded as handling the task of language modeling/generation, Question answering, Code generation, Quantitative reasoning, Visual question answering, Translation, Image captioning, Video description, Speech recognition (ASR). These are the areas it was designed around; they describe intent rather than a hard boundary.
Gemini 2.5 Pro (Jun 2025)— what GPU do I need to run it?
None. This 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.
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.