Using DePlot on NVIDIA NIM

Implementation guide · DePlot · Google DeepMind

ProvisionedOpen Source

NVIDIA NIM exposes DePlot through model ID deplot. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-05-01. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at NVIDIA NIM and generate an API key.
  2. 2
    Use the NVIDIA NIM SDK or REST API to call deplot — see the documentation for request format.
  3. 3
    You'll be billed . See full pricing.
API PortalDocumentationPricingModel Card

Code Examples

See NVIDIA NIM documentation for integration details.

Pricing on NVIDIA NIM

Capabilities

No model capability flags are currently sourced.

About DePlot

DePlot is a multimodal AI model designed for visual language reasoning, specifically for interpreting charts and plots. It operates through a two-step process: converting plot images into linearized tables with a modality conversion module, and then using a large language model to analyze this textual data to answer complex queries about the visuals. This innovative "one-shot" approach enhances performance, achieving a 24% improvement over current models on the ChartQA benchmark for human-written queries. DePlot finds applications in data analysis, automated report generation, and educational tools, offering efficient insights from visual data while handling diverse chart types and open-ended questions.

Full model details →

Model Specs

Released2023-10-26
Parameters282M
ArchitectureDecoder Only

Provider

NVIDIA NIM

NVIDIA

Santa Clara, California, United States