Microsoft
LayoutXLM is a multimodal pre-trained model for multilingual document understanding, which aims to bridge the language barriers for visually-rich document understanding. Experiment results show that it has significantly outperformed the existing SOTA cross-lingual pre-trained models on the XFUND dataset.
Running this yourself: can likely run on your own machine.
Live access is not confirmed for this model. No current purchase price is advertised.
No current subscription pricing is tracked for this model.
Confirm this specific model, usage limits, and billing terms with the provider. A subscription does not automatically include API credits.
No login needed to compare. Prices are in USD; provider charges are separate from AI Market Cap plans. Context length, caching, tools, taxes, and regional terms can change the final cost. Open weights do not mean free hosting.
27.6
Quality Score
---
Arena ELO
Unknown
Parameters
---
Context
This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.
14 of 22 public signals
Use this section to answer one simple question first: how much outside evidence do we have that this model performs well? Structured benchmark scores appear first, then official provider evidence, then live arena signal.
This model has official provider benchmark evidence, but not a normalized independent benchmark table yet.
A full normalized benchmark row is not available for this model yet.
Official benchmark evidence is already available below, so this release is still being tracked while the normalized table catches up.
Sign in to join the discussion
245.5K
Downloads
86
Likes
Mar 2022
Released
3/5 signals
2/4 signals
3/5 signals
3/4 signals
3/4 signals
Parameters
—
Training compute
Not reported
Dataset scale
Not reported
Base model
Not reported
Gaps we are still tracking
Metadata sources
These are recent benchmark or leaderboard claims from official provider sources. They are useful for freshness and context, but they are not treated the same as normalized independent benchmark rows.
Another No. 1 spot! MAI-Transcribe-2 takes first place for transcription accuracy in David AI's new benchmark. MAI-Transcribe-2 has the lowest error rate in 18 of 21 languages.
Another No. 1 spot! MAI-Transcribe-2 takes first place for transcription accuracy in David AI's new benchmark. MAI-Transcribe-2 has the lowest error rate in 18 of 21 languages.
View source