Claude 3 Opus
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
- Anthropic
- Organisation type
- Industry
- Country
- United States of America
- Published
- 4 March 2024
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Multimodal, Language, Vision
- Task
- Chat, Image captioning, Code generation, Language modeling/generation
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.
- How it was established
- Benchmarks
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
- SOTA improvement,Training cost
- Record confidence
- Speculative
Based on leaks, Claude 3 Opus and Sonnet probably cost >$1M to train. "Claude 3 Opus achieves state-of-the-art results on evaluations like GPQA [1], MMLU [2], MMMU [3] and many more. " Table 1, Table 3
Sources
Where this record came from and when it was last checked.
- Reference
- The Claude 3 Model Family: Opus, Sonnet, Haiku
- Last updated
- 24 April 2026
What the numbers mean
About this model
Claude 3 Opus was published by Anthropic, in United States of America, in March 2024. industry is the category the publisher falls under.
It works in Multimodal, Language, Vision, and is recorded as doing chat, Image captioning, Code generation, Language modeling/generation.
This is a closed model: the trained values stayed with whoever produced them, and there is no local version to run.
What went into building it
It is tracked in the underlying dataset for one reason in particular: sOTA improvement,Training cost.
Answers
Claude 3 Opus — common questions
How many parameters does Claude 3 Opus have?
No parameter count has been published for Claude 3 Opus, which is why no memory or speed figure appears on this page.
Who created Claude 3 Opus?
Claude 3 Opus was published by Anthropic, based in United States of America, categorised as industry.
When was Claude 3 Opus released?
Claude 3 Opus was published in March 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 Claude 3 Opus used for?
Claude 3 Opus works in Multimodal, Language, Vision, and is recorded as handling chat, Image captioning, Code generation, Language modeling/generation. 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.
What GPU do I need to run Claude 3 Opus?
None. Claude 3 Opus 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 Claude 3 Opus open source?
No. Claude 3 Opus has not had its weights published, so it exists only as a service controlled by its owner.
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.