model stringclasses 5
values | elo int64 1.38k 1.56k | params stringclasses 1
value | wins int64 57 116 | losses int64 76 134 | ties int64 0 7 | win_pct int64 29 60 | elo_low int64 1.33k 1.51k | elo_high int64 1.43k 1.6k |
|---|---|---|---|---|---|---|---|---|
glm-ocr | 1,556 | 116 | 78 | 0 | 60 | 1,513 | 1,599 | |
lighton-ocr-2 | 1,538 | 99 | 76 | 0 | 57 | 1,496 | 1,580 | |
nuextract3 | 1,532 | 104 | 82 | 7 | 54 | 1,495 | 1,573 | |
nuextract3-t0rep | 1,491 | 91 | 97 | 6 | 47 | 1,451 | 1,531 | |
nuextract3-think | 1,383 | 57 | 134 | 3 | 29 | 1,334 | 1,427 |
OCR Bench Results: ocr-bench-britannica
VLM-as-judge pairwise evaluation of OCR models. Rankings depend on document type — there is no single best OCR model.
Leaderboard
| Rank | Model | Params | ELO | 95% CI | Wins | Losses | Ties | Win% |
|---|---|---|---|---|---|---|---|---|
| 1 | glm-ocr | 1556 | 1513–1599 | 116 | 78 | 0 | 60% | |
| 2 | lighton-ocr-2 | 1538 | 1496–1580 | 99 | 76 | 0 | 57% | |
| 3 | nuextract3 | 1532 | 1495–1573 | 104 | 82 | 7 | 54% | |
| 4 | nuextract3-t0rep | 1491 | 1451–1531 | 91 | 97 | 6 | 47% | |
| 5 | nuextract3-think | 1383 | 1334–1427 | 57 | 134 | 3 | 29% |
Details
- Source dataset:
davanstrien/ocr-bench-britannica - Judge: Qwen3.5-35B-A3B
- Comparisons: 475
- Method: Bradley-Terry MLE with bootstrap 95% CIs
Configs
load_dataset("davanstrien/ocr-bench-britannica-nuextract3-sweep")— leaderboard tableload_dataset("davanstrien/ocr-bench-britannica-nuextract3-sweep", name="comparisons")— full pairwise comparison logload_dataset("davanstrien/ocr-bench-britannica-nuextract3-sweep", name="metadata")— evaluation run history
Generated by ocr-bench
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