Multimodal · Benchmark profile
Multimodal OCR and document understanding benchmark covering text recognition in complex real-world images.
Data verified 27 Jul 2026 · Methodology 1.8.0
Benchmark score on OCRBench v2
Interfaze Beta leads at 70.7%, followed by Qwen3.7-Plus (70.7%).
2 ranked models · higher is better · labels show rank and score
| Model | Rank | Provider | Score |
|---|---|---|---|
| Interfaze Beta | #1 | Interfaze | 70.7% |
| Qwen3.7-Plus | #2 | Alibaba Cloud | 70.7% |
One best score per model · higher is better
| Rank | Model | Provider | License | Evidence use | Score |
|---|---|---|---|---|---|
| #1 | Interfaze Beta interfaze-beta | Interfaze | closed | Estimated reference | 70.7% |
| #2 | Qwen3.7-Plus qwen3.7-plus | Alibaba Cloud | closed | Reference only | 70.7% |
About OCRBench v2
Multimodal OCR and document understanding benchmark covering text recognition in complex real-world images. Results stay tied to the exact model variant and evaluation system. Multiple systems for the same model use the best published score on this page; overall Lumina scoring uses the median of ranking-eligible rows.
Open benchmark source ↗FAQ
Multimodal OCR and document understanding benchmark covering text recognition in complex real-world images.
Interfaze Beta by Interfaze currently leads with 70.7%.
2 models in the LuminaBench cohort have a qualifying score on this benchmark.
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