Grok-2
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
- xAI
- Organisation type
- Industry
- Country
- United States of America
- Published
- 13 August 2024
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Language, Vision, Multimodal
- Task
- Chat, Language modeling/generation, Question answering, Code generation, Visual question answering
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
- 3 × 10²⁵ FLOP
- How it was established
- Comparison with other models,Reported
Estimate based on xAI statements comparing Grok-2 compute to GPT-4 and Grok-3. Full estimate here: https://docs.google.com/document/d/1C_dABuZrAqYE_ui4_GZ4bRLtq3TBjIGoBSktaPElhEU/edit?usp=sharing
The training run
What it physically took to train: which chips, how many, for how long, and what that drew from the wall.
- Training hardware
- NVIDIA H100 SXM5 80GB
- Compute cost
- $31,602,311
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
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Frontier model
- Yes
- Likely above 10²³ FLOP
- Yes
- Why it is tracked
- Training cost
- Record confidence
- Confident
Sources
Where this record came from and when it was last checked.
- Reference
- Grok-2 Beta Release
- Last updated
- 28 November 2025
What the numbers mean
About this model
Grok-2 was published by xAI, in United States of America, in August 2024. The organisation is categorised as industry.
It works in Language, Vision, Multimodal, and is recorded as doing chat, Language modeling/generation, Question answering, Code generation, Visual question answering.
This is a closed model: the trained values stayed with whoever produced them, and there is no local version to run.
How it was trained
The training run consumed about 3 × 10²⁵ FLOP, on NVIDIA H100 SXM5 80GB. That figure describes the cost of creating it and has no bearing on how quickly it generates text.
Its inclusion criterion is training cost.
Answers
Grok-2 — common questions
Is Grok-2 open source?
No. Grok-2 has not had its weights published, so it exists only as a service controlled by its owner.
How many parameters does Grok-2 have?
No parameter count has been published for Grok-2, which is why no memory or speed figure appears on this page.
Who created Grok-2?
Grok-2 was published by xAI, based in United States of America, categorised as industry.
When was Grok-2 released?
Grok-2 was published in August 2024. Capability per parameter has improved considerably since, so a newer model of the same size is often the better use of the same hardware.
What is Grok-2 used for?
Grok-2 works in Language, Vision, Multimodal, and is recorded as handling chat, Language modeling/generation, Question answering, Code generation, Visual question answering. A model can carry several of each, so these are the areas it was built for rather than a limit on what it will attempt.
How much compute was used to train Grok-2?
Around 3 × 10²⁵ FLOP, on NVIDIA H100 SXM5 80GB. 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.
What GPU do I need to run Grok-2?
None. Grok-2 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.