PhysicsWallah Launches Aryabhata 1.0 – India’s First AI Model Focused on Competitive Math Education

PhysicsWallah Launches Aryabhata 1.0 – India’s First AI Model Focused on Competitive Math Education

In a significant leap for India’s edtech space, PhysicsWallah (PW) has introduced Aryabhata 1.0, a compact language model (SLM) designed specifically for mathematics learning in competitive exams, beginning with JEE Main. The model is engineered to address real-world student needs and marks a milestone in the integration of artificial intelligence in education.

What sets Aryabhata 1.0 apart is its impressive performance despite limited computational resources. Built with 7 billion parameters and trained on a single H100 GPU, the model achieved 86% accuracy in JEE Main January 2025 and 90.2% in the April session—establishing itself as a strong contender in the rapidly evolving AI-in-education space.

Named after the renowned Indian mathematician, Aryabhata, the model embodies PW’s goal to combine India’s rich academic legacy with modern technology. “Sometimes, the right support at the right moment can change a student’s entire path,” said Prateek Maheshwari, co-founder of PW and Chair of the Indian Edtech Consortium. “At PW, we believe AI can offer that support, if it’s built with care, context, and purpose.”

Aryabhata 1.0 was fine-tuned with over 130,000 curated question-answer pairs, using techniques such as supervised fine-tuning (SFT), reinforcement learning, and rejection sampling to ensure alignment with how students are actually taught in classrooms. It has been designed to not only solve problems but to reason like a student, enhancing its educational effectiveness.

PW is actively seeking collaboration from educators, researchers, and developers to test and improve Aryabhata 1.0. The roadmap includes expanding the model’s capabilities to cover JEE Advanced and other math-heavy academic domains, making it a foundational step in building a suite of subject-specific AI tools.

The launch also comes at a time when AI capabilities in education are reaching new global benchmarks. For instance, Google’s Gemini 2.5 Pro recently scored 336.2/360, outperforming the JEE 2025 topper, highlighting how AI models are increasingly excelling at high-stakes academic assessments.

With Aryabhata 1.0, PhysicsWallah is not just entering the AI race—it’s laying the groundwork for context-aware, student-aligned AI learning tools tailored to India’s competitive education system.

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