Saaras V3 is Sarvam AI's next-generation automatic speech recognition (ASR) model engineered for Indian languages and real-world speech conditions. Saaras V3 supports 23 languages (22 official Indian languages plus English) within a unified multilingual model. The model achieves approximately 19% Word Error Rate (WER) on the IndicVoices benchmark, improving significantly from its predecessor Saaras V2.5 which had ~22% WER. On the 10 most popular languages in the IndicVoices dataset, it achieves 19.3% WER, and performance advantages widen for lower-resource Indian languages
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<FASTROUTER_API_KEY> with your key · Get your key →sarvam/bulbul:v2Sarvam: Bulbul V2 is a text-to-speech (TTS) model from Sarvam AI, delivering real-time, natural-sounding speech in 11 Indian languages at a fraction of global costs. It builds on prior versions with key enhancements including improved audio quality, 30+ speaker voices (expanded from six distinct voices in v1 for diverse use cases like professional or conversational tones), and adjustable speech speed from 0.5x to 2.0x for customized delivery.
sarvam/sarvam-105bSarvam 105B is Sarvam AI's flagship open-source Mixture-of-Experts (MoE) large language model (LLM), trained from scratch as India's first competitive 105-billion-parameter model. It delivers state-of-the-art performance across Indian languages and excels in enterprise-grade applications, with strong capabilities in multi-step reasoning, mathematics, coding, knowledge retrieval, and instruction-following.
sarvam/sarvam-105b:freeSarvam 105B is Sarvam AI's flagship open-source Mixture-of-Experts (MoE) large language model, trained from scratch as India's first competitive 105-billion-parameter model. It delivers strong performance across Indian languages and excels in enterprise-grade applications, with capabilities in multi-step reasoning, mathematics, coding, knowledge retrieval, and instruction-following.
Model scores sourced from ArtificialAnalysis