DePlot Models by Google DeepMind
1 model2023
About
DePlot currently lacks publicly available information, indicating it might be an emerging model yet to be documented on major platforms like Hugging Face or commonly indexed by web search engines. If more specific details become available, such as the developing organization or any technical specifications, those could provide a clearer understanding of what DePlot offers and its potential applications within the AI community.
Archived Variants
Use-when guidance is derived from seed capabilities, context, release, and replacement fields.
1 in view1 retired
DePlotArchived
Keep only for existing workloads; choose a current variant for new builds.
2023-10282M parameters
| Model | Use when | Released | Signals | Status |
|---|---|---|---|---|
| DePlot | Keep only for existing workloads; choose a current variant for new builds. | 2023-10 | 282M parameters | Archived |
Release Timeline
1 release group2023-10
1 retired
DePlot
Archived282M parameters
Specifications(1 models)
| Model | Released | Parameters |
|---|---|---|
| DePlot | 2023-10 | 282M |
Available From(1 provider)
Frequently Asked Questions
- What is DePlot used for?
- DePlot is used for charts. The family description and listed model capabilities point to those workloads as the best fit.
- How does DePlot compare to Gemma 4?
- DePlot by Google DeepMind is strongest where you need charts, while Gemma 4 by Google DeepMind is the closest related family to check for multimodal. DePlot has 1 listed variant, while Gemma 4 reaches up to 256k context, so compare the specs and pricing tables before choosing a production model.
- Which DePlot model should I use?
- If price is the main constraint, use the pricing table first because DePlot does not have complete provider pricing in the local data. For the most capable/latest local choice, evaluate DePlot.
