Sarvam-MvsDeepSeek R1

Sarvam-M, developed by Sarvam AI, is India's first homegrown foundation model with 24 billion parameters, built with support from the Indian government's IndiaAI initiative. The model is optimized for 10+ Indian languages including Hindi, Tamil, Telugu, Bengali, Marathi, Gujarati, and Kannada, addressing a significant gap in AI language support for the world's most populous country. Sarvam-M handles conversational AI, translation, content generation, and enterprise tasks in Indian languages where global models from OpenAI, Google, and Anthropic perform poorly. Free and open-source, it enables Indian developers to build language-specific applications without depending on foreign AI providers. The model represents a significant step toward AI sovereignty for India, ensuring domestic technology for government services, healthcare, education, and enterprise applications that serve India's diverse linguistic landscape.

DeepSeek R1, developed by DeepSeek, is an open-source reasoning model with 671 billion total parameters (37 billion active) and a 128K token context window. The model uses reinforcement learning to develop chain-of-thought reasoning, solving complex math, coding, and logic problems through step-by-step deliberation. DeepSeek R1 achieved frontier-level performance at a fraction of the training cost of comparable Western models, sparking industry-wide discussion about AI compute efficiency. Its Mixture-of-Experts architecture keeps inference costs manageable despite the massive parameter count. Priced at $0.55 per million input tokens through the DeepSeek API, or free to self-host, it demonstrates that open-source models can compete with proprietary systems on reasoning tasks. DeepSeek R1 ranks #3 on the Chatbot Arena leaderboard, confirming its position among the world's most capable reasoning models.