Sarvam 105B is a Large Language Models (LLMs) tool. Sarvam 105B: India's AI foundation model for all 22 official languages, built independently. Key features include Multilingual Mastery, Mixture-of-Experts Architecture, and Extended Context Windows. Best for teachers, marketers and content creators.
About Sarvam 105B
Sarvam 105B is India's sovereign foundation language model, a Mixture-of-Experts architecture supporting all 22 official Indian languages with extended context windows, voice-first design, and India-based data sovereignty. The model targets enterprises and government applications requiring multilingual capability without dependence on foreign AI infrastructure.
The core features that matter
- Multilingual mastery across all 22 official Indian languages including Hindi, Tamil, and Bengali, with handling for mixed languages like Hinglish and cultural context
- Mixture-of-experts architecture using about 9 billion active parameters per token, making the 105B model cheaper to run while matching larger model performance
- Extended context windows at 128K tokens for processing entire research papers or financial documents without splitting
- Production-grade enterprise reliability with safety features, content filters, bias reduction, and compliance with Indian regulations and ethical AI guidelines
- Voice-first design philosophy with Saaras V3 for speech recognition and Bulbul V3 for synthesis, supporting voice-preferring Indian users
- Sovereign data sovereignty with all training, operation, and data handling within India, following national privacy laws and security guidelines
How it stands out
The frontier LLM space is dominated by US and Chinese models. Sarvam 105B's specific position is India-built and India-operated AI with comprehensive support for Indian languages and cultural context. For Indian enterprises, government, and use cases requiring data sovereignty within India, that combination addresses real gaps that foreign models leave open.
The honest qualifier: open-weight foundational models trail closed frontier models on general capability benchmarks but lead on specific use cases their training optimized for. Sarvam 105B is genuinely strong on Indian language tasks and likely lags GPT, Claude, or Gemini on English-only general tasks. The sovereignty positioning matters for specific organizations but isn't relevant for global businesses without India-specific data requirements. For Indian enterprises serving Indian markets in Indian languages, Sarvam 105B provides infrastructure that foreign alternatives don't match. For organizations primarily handling English-language work, frontier models from major labs typically produce stronger results.
Key Features
Multilingual Mastery.
Mixture-of-Experts Architecture.
Extended Context Windows.
Production-Grade Enterprise Reliability.
Voice-First Design Philosophy.
Sovereign Data Sovereignty.
Frequently Asked Questions
Sarvam 105B is a big language model with 105 billion parameters. It was made by Sarvam AI, an AI startup in Bengaluru.
Sarvam 105B fits into the Large Language Models (LLMs) category. It also has sub-categories like General-Purpose LLMs, Domain-Specific LLMs, and Self-Hosted LLMs.
Sarvam 105B helps understand and create language, and is designed for Indian languages. It can do things like power chatbots, automate tasks, create content, help with coding, solve complex problems, and translate languages.
Sarvam AI has flexible pricing based on usage. When you create an account, you get 1000 rupees in free credits. The Starter Plan is pay-as-you-go. The Pro Plan costs 10,000 rupees with 1,000 bonus credits. The Business Plan costs 50,000 rupees with 7,500 bonus credits.
