Sarvam

Sarvam 105B is Sarvam AI's flagship 105B+ parameter Mixture-of-Experts reasoning model for Indian-language and English chat, complex reasoning, coding, long-context document analysis, and agentic tool-use workflows. Sarvam documents it as a 128K-context OpenAI-compatible chat model with Multi-head Latent Attention, 12T tokens of pre-training data, Apache 2.0 open weights, and production use powering Indus. Its strongest fit is Indian-language enterprise assistants, multilingual reasoning, and agent workflows where native script, romanized, and code-mixed inputs matter.

Sarvam 30B is a 30B parameter Mixture-of-Experts chat and reasoning model from Sarvam AI, optimized for Indian languages, real-time conversation, high-throughput voice-agent pipelines, coding, and practical deployment. Sarvam documents 2.4B active parameters per token, 16T tokens of pre-training data, a 64K context window, Grouped Query Attention, Apache 2.0 open weights, and OpenAI-compatible chat completions.