Sarvam 105b Sarvam 30b Everything You Need To Know
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artificialanalysis.ai
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Artificial Analysis articles
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Why it matters
The models are open and free via API but score low on coding and hallucinationWhen a model states something false with full confidence — inventing facts, citations, or APIs that don't exist.Full definition →, so they fit Indic language work more than general AI agentAn AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.Full definition → tasks.
Key takeaways · AI-distilled
Sarvam 105B and 30B are mixture-of-expertsA model built from many specialist sub-networks where only a few activate per token, giving big-model capability at small-model running cost.Full definition → models pre-trained from scratch in India on IndiaAI Mission compute under Apache 2.0. The 105B activates about 10B parameters with a 128K window; the 30B about 2.4B with a 65K window.
Sarvam 105B's relative strength is agentic work: its agentic index of 25 beats INTELLECT-3 (20) and GLM-4.5-Air (21), and its GDPval index of 773 edges GLM-4.5-Air's 665, despite lower overall intelligence.
On TerminalBench Hard, Sarvam 105B scored 1.5% and Sarvam 30B 2.3%, against 20.5% for GLM-4.5-Air. Their AA-Omniscience scores of -60 and -72 reflect attempting far more answers instead of abstaining.
Both are a large step up from Sarvam M, which scored 8 and was built on Mistral Small rather than pre-trained from scratch. Sarvam also announced Saaras v3 speech-to-text and Bulbul v3 text-to-speech for Indic languages.
Terms in this piece · Glossary
mixture-of-experts — A model built from many specialist sub-networks where only a few activate per token, giving big-model capability at small-model running cost.
hallucination — When a model states something false with full confidence — inventing facts, citations, or APIs that don't exist.
AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
