olmOCR-Bench (olmOCR)
We show this table for reference; we do not rank on it.
An end-to-end document understanding benchmark over long, layout-rich PDFs with tables, equations, headers, footnotes, and multi-column flows.
Benchmark score on olmOCR — September 27, 2026
We compile the olmOCR rows from provider self-reports. Interfaze Beta leads the table at 85.7%. We do not use these results to rank models overall.
1 modelMultimodal & GroundedCurrentDisplay onlyUpdated September 27, 2026
Benchmark score table (1 model)
ScoreAbout olmOCR
Year
2025
Tasks
Layout-rich PDF understanding
Format
Mean accuracy
Difficulty
Complex document processing
olmOCR-Bench tests whether a system preserves reading order and document structure, not only character-level OCR. BenchLM tracks Interfaze's reported mean score as a display-only document AI benchmark.
Freshness and provenance
Version
olmOCR 2025
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
Questions
What does olmOCR measure?
An end-to-end document understanding benchmark over long, layout-rich PDFs with tables, equations, headers, footnotes, and multi-column flows.
Which model scores highest on olmOCR?
Interfaze Beta by Interfaze currently leads with a score of 85.7% on olmOCR.
How many models are evaluated on olmOCR?
1 AI models have been evaluated on olmOCR on BenchLM.
Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
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