Leading score89.30 %
Verified AI benchmark
Exa WebCode Contents — Extraction Accuracy Leaderboard
Accuracy on Exa's open WebCode Contents track measuring extraction fidelity against golden markdown.
Semantic classUnclassified
CategorySearch & Retrieval DirectionHigher is better
VersionOpen benchmark snapshot 2026-08-28 Verified entities1
How to interpret this leaderboard
What this benchmark does—and does not—measure
This leaderboard preserves the benchmark's own metric, source and test date. Results are comparable only within the same benchmark definition and semantic class; missing data is never treated as a zero.
Method & source
- Unit
- %
- Results
- 1
- Latest test
- Aug 28, 2026
- Distinct source links
- 1
Entities at top score1
Evidence freshnessAug 28, 2026
Verified results
Exa WebCode Contents — Extraction Accuracy rankings
Only the latest verified result for each listed entity is shown. Equal scores receive the same displayed rank.
| Rank | Model / Tool | Score | Tested | Evidence |
|---|---|---|---|---|
| #1 | Exa | 89.30% | Aug 28, 2026 | Exa Open Benchmarks |
What to keep in mind
A benchmark is one evidence signal, not a universal product verdict. Test conditions, benchmark versions, source methodology and date can all affect interpretation. Compare shared benchmarks and current product evidence before making a model or tool decision.
Why dates and sources are shown
AI Orbit retains the source and tested date for each verified result so readers can judge whether evidence is current enough for their use case. Older evidence is not silently presented as a new test.