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Open weightsIBM Research/10 trustVerified

Granite Docling 258M

IBM's tiny 258M vision-language model for end-to-end document conversion.

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About

Granite-docling-258M is a compact image-plus-text-to-text vision-language model developed by IBM Research and released on September 17, 2025 under Apache 2.0. It is built on the IDEFICS3 architecture with a SigLIP2 vision encoder and a Granite 165M language model, and it is designed to live inside the Docling document-conversion toolkit rather than act as a general chatbot.

It consolidates what used to be several single-purpose models into one 258M-parameter VLM: full-page PDF conversion to Markdown/HTML, table-to-OTSL conversion, formula-to-LaTeX, code-block extraction, OCR with region selection, and even document-element question answering. It runs at about 0.35 seconds per page on an A100 and is also available in ONNX and MLX formats for edge deployment.

Specs

Context window

Pricing

Free quota

API access

Weights

Open weights

Released

September 17, 2025

Benchmarks

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

pdf-conversionocr-pipelinesrag-ingestiontable-extraction

Trust score — 8/10

/10 trustVerified

Scored 8/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 135; Trending score 76/100 from researcher assessment.

Sources