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On November 3, 2026, Sarvam AI released Sarvam Prism, a System One decision model based on Sarvam 105B. According to the Sarvam AI Blog, the model achieved an average score of 71.8 with a median response time of 44 milliseconds on B200 GPUs, the highest score among the 25 decision models tested by Sarvam AI within 100 milliseconds. At confidence levels above 90%, the model's actual error rate was lower than expected: 2.2% versus 3.3% for English, and 4.4% versus 5.4% for Indic languages, and it kept its answers unchanged in a shuffled-options test of 2,000 questions. The weights are open-sourced under the Apache 2.0 license on Hugging Face, requiring at least 120 GB of VRAM on a single GPU to run in FP8, and it is also available via the Sarvam API. There are currently no subsequent developments.
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Sarvam AI Releases Sarvam Prism, a Decision Model Based on Sarvam 105BDevelopments
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- Source:Sarvam AI Blog
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Nov 3
Sarvam AI BlogFirst-party
Sarvam AI Releases Sarvam Prism, a Decision Model Based on Sarvam 105B
Sarvam AI has released Sarvam Prism, a System One decision model based on Sarvam 105B, which achieves an average score of 71.8 with a median response time of 44 ms on B200 GPUs, the highest score within 100 ms among the 25 decision models it tested. At confidence levels above 90%, the model's actual error rate is lower than expected: 2.2% versus 3.3% for English and 4.4% versus 5.4% for Indic languages, and it keeps its answers unchanged in a 2,000-question option-shuffling test. The weights are open-sourced under the Apache 2.0 license on Hugging Face, requiring at least 120 GB of VRAM on a single GPU to run in FP8, and it is also available via the Sarvam API.