ALLaM Models by Saudi Data and Artificial Intelligence Authority
Last refreshed 2026-05-19. Next refresh: weekly.
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WebsiteAbout
The ALLaM family, developed by the Saudi Data and Artificial Intelligence Authority (SDAIA), comprises large language models (LLMs) tailored for Arabic Language Technologies (ALT). Designed to be proficient in both Arabic and English, these models employ an autoregressive decoder-only architecture and are pretrained on a blend of Arabic and English texts. A critical focus of their development is on language alignment and knowledge transfer, striving for state-of-the-art performance in Arabic benchmarks. SDAIA has introduced several models within this family, including 7B, 13B, and 70B parameter models, some of which are built from scratch, while others extend training from models like Llama-2. These models are accessible via IBM's Watsonx platform under a royalty-free license, supporting both commercial and governmental applications. Significant data collection and curation efforts have resulted in one of the largest global Arabic datasets.
Decision facts
Current Variants
Use-when guidance is based on each model's tracked capabilities, context window, release date, and replacement status.
Use when the workload needs 4k context and 13B parameters.
| Model | Use when | Released | Signals | Status |
|---|---|---|---|---|
| ALLaM 13B | Use when the workload needs 4k context and 13B parameters. | 2023-09 | 4k context13B parameters | Current |
Release Timeline
1 release groupSpecifications(1 models)
| Model | Released | Context | Parameters |
|---|---|---|---|
| ALLaM 13B | 2023-09 | 4k | 13B |
Available From(1 provider)
Pricing
| Model | Provider | Input / 1M | Output / 1M | Type |
|---|---|---|---|---|
| ALLaM 13B | IBM watsonx | $1.8 | $1.8 | Serverless |