OpenAI TI7 DOTA 1v1
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
- OpenAI
- Organisation type
- Industry
- Country
- United States of America
- Published
- 11 August 2017
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Games
- Task
- Dota 2
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
Training compute
The arithmetic performed to train the model, measured in floating-point operations. It is a measure of what the training run cost, not of how fast the finished model answers you.
- Training compute
- 6 × 10²⁰ FLOP
- How it was established
- Third-party estimation
Extracted from AI and Compute (https://openai.com/blog/ai-and-compute/) charts by using https://automeris.io/WebPlotDigitizer/.
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Frontier model
- Yes
- Why it is tracked
- Historical significance,SOTA improvement
- Record confidence
- Confident
Sources
Where this record came from and when it was last checked.
- Reference
- Dota 2
- Last updated
- 28 November 2025
What the numbers mean
About this model
OpenAI TI7 DOTA 1v1 was published by OpenAI, in the country recorded as United States of America, during August 2017. The publishing organisation is categorised as industry.
It works in the domain of Games, and is recorded as performing the task of dota 2.
Its weights were never published, so it can only be reached through its provider. No graphics card changes that.
Training and provenance
Producing it required arithmetic totalling around 6 × 10²⁰ FLOP. That figure measures what producing the model cost, and has no bearing on how fast it answers.
It is tracked in the underlying dataset for one reason in particular: historical significance,SOTA improvement.
Answers
OpenAI TI7 DOTA 1v1 — common questions
OpenAI TI7 DOTA 1v1— when was it released?
It was published in August 2017. Capability per parameter has improved considerably since, so a newer model of the same size is often the better use of the same hardware.
OpenAI TI7 DOTA 1v1— what is it used for?
It works in the domain of Games, and is recorded as handling the task of dota 2. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.
OpenAI TI7 DOTA 1v1— how much compute was used to train it?
Training consumed around 6 × 10²⁰ FLOP. That measures what producing the model cost and says nothing about how quickly it answers once trained — inference speed comes from memory bandwidth, not from the training budget.
OpenAI TI7 DOTA 1v1— 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.
OpenAI TI7 DOTA 1v1— is it open source?
The licensing was never recorded in our source data. We treat unstated licensing as closed, because an unrecorded licence is not one to rely on.
OpenAI TI7 DOTA 1v1— 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.
OpenAI TI7 DOTA 1v1— who created it?
It was published by OpenAI, based in United States of America, an organisation categorised as industry.
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.