Could Sarvam 30B/105B Models Be India's Answer to DeepSeek and Mistral?

Could Sarvam 30B/105B Models Be India's Answer to DeepSeek and Mistral?(shivekkhurana.com)

5 points by shivekkhurana 87 days ago | 4 comments

alephnerd 87 days ago |

This aligns with what I've been thinking and chatting with my peers about - technical documentation would be useful to benchmark performance globally, but I have heard murmurs of it already being used for voice-gen usecases by a WITCH company.

shivekkhurana 87 days ago | |

The TTS/STT models are actually good and aggressively priced. I personally built a voice-mode ai assistant.

STT time to first token is ~300ms. ~20 second audio takes less than 1 second to be converted.

TTS time to first token is ~700ms. ~20 second of audio is generated under 2 seconds.

alephnerd 87 days ago | | |

Absolutely! The TTS/STT approach that Sarvam and the other Indian firms are taking is more intuitive for a larger share of people and usecases. The "replace an SDR" or "replace a call-center" usecase is such an easy win to show POV.

I feel this is also why you don't see the same degree of hype as you would with the other players. When you are taking an application-driven approach to launching AI products, hype matters less than targeting decisionmakers and showing that your product directly aligns with their outcomes.