DePlot

Released
2023-10-26
Last refreshed
2026-10-14
Status
Researched 289d ago
DeprecatedOpen sourceCommercial use: permitted

DePlot is a legacy integration reference; keep it only while you identify a current replacement.

Google DeepMind releases · 52 in the last 12 monthsChangelog →
Specifications
Family
DePlot
Released
2023-10-26
Parameters
282M
Architecture
Decoder Only
Specialization
general
Openness
Open source
License
Apache 2.0OSI-approvedCommercial use: permitted
Weights
Unknown
Code
Unknown
Training
Fine-tuned
Created by

Pioneering artificial intelligence research.

London, United Kingdom
Founded 2014
Website
Pricing
Output / 1M
-
Input / 1M
-

Cheapest of 1 route · NVIDIA NIM

About

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.

Providers(1)

Compare API pricing across 1 tracked provider route for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MRoute
NVIDIA NIM--
ProvisionedPartial

Available via routers & gateways(1)

Capabilities

No model capability flags are currently sourced.

Benchmark peer barsfor Coding

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.