emirates7 - The Technology Innovation Institute (TII), the applied research pillar of Abu Dhabi’s Advanced Technology Research Council (ATRC), has announced the release of Falcon H1R 7B, a next-generation AI model that takes a significant step toward making advanced AI more accessible than ever, by delivering world-class reasoning performance in a compact, efficient, and openly available format.
With just 7 billion parameters, Falcon H1R 7B challenges and, in many cases, outperforms larger open-source AI models from around the world, including models from Microsoft (Phi 4 Reasoning Plus 14B), Alibaba (Qwen3 32B), and NVIDIA (Nemotron H 47B).
This model release reaffirms TII’s position at the forefront of efficient AI innovation and reinforces the UAE’s growing influence in global technology leadership.
Faisal al Bannai, Adviser to the UAE President and Secretary-General of the Advanced Technology Research Council, said, “Falcon H1R reflects the UAE’s commitment to building open and responsible AI that delivers real national and global value. By bringing world-class reasoning into a compact, efficient model, we are expanding access to advanced AI in a way that supports economic growth, research leadership, and long-term technological resilience.”
Falcon H1R 7B builds on the Falcon H1-7B foundation with a specialised training approach and a hybrid Transformer–Mamba architecture that improves both accuracy and speed.
“Falcon H1R 7B marks a leap forward in the reasoning capabilities of compact AI systems,” said Dr. Najwa Aaraj, CEO of TII. “It achieves near-perfect scores on elite benchmarks while keeping memory and energy use exceptionally low, critical criteria for real-world deployment and sustainability.”
This approach unlocks what researchers call “latent intelligence,” enabling Falcon H1R 7B to reason more effectively and efficiently.
The model sets a new Pareto frontier, a performance sweet spot where increasing speed doesn’t mean sacrificing quality.
Falcon H1R 7B recorded outstanding performance across a range of competitive benchmarks. In Math, it achieved 88.1 percent on AIME-24, outperforming ServiceNow AI’s Apriel 1.5 (15B) (86.2 percent) - proving that a compact 7B model can rival or exceed much larger systems.
In code and agentic tasks, the model recorded an accuracy rate of 68.6 percent, representing best-in-class performance among models under 8B, and scored higher in LCB v6, SciCode Sub and TB Hard benchmarks, with Falcon H1R scoring 34 percent compared to China’s DeepSeek R1-0528 Qwen 3 8B (26.9 percent) and even surpassing larger contenders like Qwen3-32B (33.4 percent).
In general reasoning tasks, Falcon H1R demonstrated strong logic and instruction-following abilities, matching or approaching the performance of larger models like Microsoft’s Phi 4 Reasoning Plus (14B), while using only half the parameters.
In terms of efficiency, the model achieved up to 1,500 tokens/sec/GPU at batch 64, nearly doubling the speed of Qwen3-8B, thanks to its hybrid Transformer–Mamba architecture - delivering faster, scalable performance without sacrificing accuracy.
“This model is the result of world-class research and engineering. It shows how scientific precision and scalable design can go hand in hand,” said Dr. Hakim Hacid, Chief Researcher at TII’s Artificial Intelligence and Digital Research Centre. “We are proud to deliver a model that enables the community to build smarter, faster, and more accessible AI systems.”
In line with TII’s commitment to AI transparency and collaboration, Falcon H1R 7B is released as an open-source model under the Falcon TII License.
Developers, researchers, and institutions worldwide can access the model via Hugging Face, along with a full technical report detailing the training strategies and performance on key reasoning benchmarks.
This new release builds on the sustained global success of TII’s Falcon programme.
Since their debut, Falcon models have consistently ranked among the world’s top-performing AI systems, with the first four generations achieving number-one global rankings in their respective categories.
Across successive iterations, Falcon has set new benchmarks in performance, efficiency, and real-world deployability, demonstrating that compact, sovereign models can outperform significantly larger systems.
Together, these milestones underscore Abu Dhabi and the wider UAE’s growing leadership in frontier AI and TII’s ability to deliver globally competitive research.
With just 7 billion parameters, Falcon H1R 7B challenges and, in many cases, outperforms larger open-source AI models from around the world, including models from Microsoft (Phi 4 Reasoning Plus 14B), Alibaba (Qwen3 32B), and NVIDIA (Nemotron H 47B).
This model release reaffirms TII’s position at the forefront of efficient AI innovation and reinforces the UAE’s growing influence in global technology leadership.
Faisal al Bannai, Adviser to the UAE President and Secretary-General of the Advanced Technology Research Council, said, “Falcon H1R reflects the UAE’s commitment to building open and responsible AI that delivers real national and global value. By bringing world-class reasoning into a compact, efficient model, we are expanding access to advanced AI in a way that supports economic growth, research leadership, and long-term technological resilience.”
Falcon H1R 7B builds on the Falcon H1-7B foundation with a specialised training approach and a hybrid Transformer–Mamba architecture that improves both accuracy and speed.
“Falcon H1R 7B marks a leap forward in the reasoning capabilities of compact AI systems,” said Dr. Najwa Aaraj, CEO of TII. “It achieves near-perfect scores on elite benchmarks while keeping memory and energy use exceptionally low, critical criteria for real-world deployment and sustainability.”
This approach unlocks what researchers call “latent intelligence,” enabling Falcon H1R 7B to reason more effectively and efficiently.
The model sets a new Pareto frontier, a performance sweet spot where increasing speed doesn’t mean sacrificing quality.
Falcon H1R 7B recorded outstanding performance across a range of competitive benchmarks. In Math, it achieved 88.1 percent on AIME-24, outperforming ServiceNow AI’s Apriel 1.5 (15B) (86.2 percent) - proving that a compact 7B model can rival or exceed much larger systems.
In code and agentic tasks, the model recorded an accuracy rate of 68.6 percent, representing best-in-class performance among models under 8B, and scored higher in LCB v6, SciCode Sub and TB Hard benchmarks, with Falcon H1R scoring 34 percent compared to China’s DeepSeek R1-0528 Qwen 3 8B (26.9 percent) and even surpassing larger contenders like Qwen3-32B (33.4 percent).
In general reasoning tasks, Falcon H1R demonstrated strong logic and instruction-following abilities, matching or approaching the performance of larger models like Microsoft’s Phi 4 Reasoning Plus (14B), while using only half the parameters.
In terms of efficiency, the model achieved up to 1,500 tokens/sec/GPU at batch 64, nearly doubling the speed of Qwen3-8B, thanks to its hybrid Transformer–Mamba architecture - delivering faster, scalable performance without sacrificing accuracy.
“This model is the result of world-class research and engineering. It shows how scientific precision and scalable design can go hand in hand,” said Dr. Hakim Hacid, Chief Researcher at TII’s Artificial Intelligence and Digital Research Centre. “We are proud to deliver a model that enables the community to build smarter, faster, and more accessible AI systems.”
In line with TII’s commitment to AI transparency and collaboration, Falcon H1R 7B is released as an open-source model under the Falcon TII License.
Developers, researchers, and institutions worldwide can access the model via Hugging Face, along with a full technical report detailing the training strategies and performance on key reasoning benchmarks.
This new release builds on the sustained global success of TII’s Falcon programme.
Since their debut, Falcon models have consistently ranked among the world’s top-performing AI systems, with the first four generations achieving number-one global rankings in their respective categories.
Across successive iterations, Falcon has set new benchmarks in performance, efficiency, and real-world deployability, demonstrating that compact, sovereign models can outperform significantly larger systems.
Together, these milestones underscore Abu Dhabi and the wider UAE’s growing leadership in frontier AI and TII’s ability to deliver globally competitive research.