Community-tested models

AI models tested for Arabic

Does it actually work for Saudi, Najdi, Hijazi or Gulf Arabic? Benchmarks rarely say. The community tests these models on real speech and text — and reports back.

All ASR TTS Translation LLM Embedding Vision Other2 models

All languages ar en es fr multi pt zh

All dialects Egyptian Gulf Levantine MSA Najdi Saudi

Arabic support:All Full Partial None

All licenses Apache 2.0 AudarAI Community License v1.0 CC-BY-NC-4.0 Gemma Terms of Use Llama 4 Community License MIT Proprietary (API only)TII Falcon LLM License

CAMeLBERT

CAMeL Lab, NYU Abu Dhabi

Other

No evaluations yet

Arabic: fullMSAGulfEgyptianLevantinear

BERT models pre-trained per Arabic variant (MSA, dialectal, classical) for NER, POS, sentiment and dialect identification. The mix checkpoint remains the most-used entry point despite dating from 2021.

Hugging Face

AraBERT

AUB MIND Lab

Other

No evaluations yet

Arabic: fullMSAar

The pioneer Arabic BERT encoder and still the standard baseline in Arabic NLP. The original bert-base-arabert card now flags itself as superseded, so this row points at AraBERT v0.2 base — the most-downloaded variant, trained on 77GB of Arabic text. No licence is stated on the model card or the aub-mind/arabert GitHub repo.

Hugging Face