Jais is the state-of-the-art Arabic large-language model from Abu Dhabi’s Inception, trained for Arabic and English reasoning at frontier quality.
Jais was developed by Inception with G42 and academic partners to give Arabic a first-class foundation model: trained on curated Arabic and English corpora, it handles Modern Standard Arabic and dialects with a quality previous open models lacked. Released openly with 30B and 70B-class versions, Jais powers Arabic assistants, government services and research across the region, and continues to evolve through new generations.
Jais weights are released openly and free to use; hosted API access for production is available through Inception and partners.
Developers, governments and enterprises building Arabic-language AI applications and services.
Jais serves Arabic-first applications.
Download the open weights or access hosted endpoints; evaluation on your Arabic corpus comes first.
Arabic quality that general multilingual models cannot match, opening the region’s digital market.
Developers download open weights or use hosted access, then evaluate on their own Arabic corpora — dialect mix and domain vocabulary matter. Inception and partners support enterprise deployment and fine-tuning programs.
Quality varies across Arabic dialects and specialized domains, so benchmarking on your text is essential, and self-hosting demands serving expertise.
Arabic NLP teams call Jais the model that finally takes Arabic seriously at scale.
Governments and businesses whose primary users read and write Arabic.
Arabic deserves first-class models, and Jais delivers them openly. For Arabic-first products, benchmarking Jais against multilingual giants usually settles the question. The team’s research rigor means the roadmap stays credible.
Yes — model weights are openly released for free use, with hosted access options for those who prefer not to self-host.
Hosted Jais access is available through Inception’s offerings, and the open weights can be served through standard stacks.
Against multilingual global models, Jais leads on Arabic language quality — the decisive factor for Arabic-first products.
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