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GCC AI Research

Falcon vs. SILMA

TII's homegrown open LLM vs. Google's Arabic-tuned Gemma 2 developed with GCC partners — two paths to GCC AI.

🇦🇪UAE

Falcon

TII

Open-source multilingual LLM family from TII, Abu Dhabi. First Arabic-organization model to top the Hugging Face Open LLM Leaderboard.

Sizes:7B, 40B, 180B, Falcon 2 (11B), Falcon 3 (1B–10B)

🇦🇪UAE

SILMA

Google / GCC Partners

Arabic-focused LLM by Google built on Gemma 2 with instruction tuning, developed with GCC partners.

Sizes:1B, 9B

Comparison

Falcon vs. SILMA — side-by-side comparison of Falcon and SILMA
AspectFalconSILMA
CreatorTII (UAE government lab)Google + GCC academic partners
Base architectureCustom Falcon architectureGoogle Gemma 2
Arabic supportVia Falcon 3 multilingual trainingDedicated Arabic instruction tuning
Max sizeFalcon 180B (general), Falcon 3 up to 10B9B
Sovereign AI angleFully UAE-developed, sovereign modelGoogle model tuned for GCC context
Best forSovereignty-sensitive deployments, general tasksArabic tasks with Google ecosystem integration

Bottom Line

Falcon represents true GCC AI sovereignty — built from scratch by a UAE institution. SILMA offers Google's optimization quality with Arabic focus. Both are open-source.