{
  "site": "Agentic Weekly",
  "dataset": "Agentic Weekly model facts",
  "as_of": "2026-11-04",
  "license": {
    "name": "CC BY 4.0",
    "url": "https://creativecommons.org/licenses/by/4.0/"
  },
  "license_spdx": "CC-BY-4.0",
  "attribution": "Data: Agentic Weekly (https://theagenticweekly.com), CC BY 4.0",
  "usage": "Quoting, summarizing and citing this data is encouraged. Credit Agentic Weekly (https://theagenticweekly.com), link the page you used and keep its Reported or Tested label.",
  "page": "https://theagenticweekly.com/models",
  "evidence_labels": {
    "Reported": "Read from the cited vendor page on the as-of date; not run by us.",
    "Tested": "We ran it ourselves; scope is stated in tested_note. No model is Tested yet."
  },
  "provenance": {
    "note": "Every fact object carries its own provenance: fact, value, source_url, source_type, verified_at, evidence_status and, for tested facts, test_id. Read it per fact, not per page. Full explanation: https://theagenticweekly.com/methodology#provenance",
    "source_type": {
      "vendor_reported": "Read from the vendor's own page (docs, pricing, release notes, post); not run by us.",
      "independently_tested": "We ran it; test_id names the test log. Smoke tests are not benchmarks.",
      "editorial": "Our own judgment or a ranking built on stated criteria; never presented as a vendor fact."
    },
    "evidence_status": {
      "confirmed": "The cited source_url states this value; we read it on verified_at.",
      "not_confirmed_on_source": "The cited page does not itself state this value; the note says what we infer and from where.",
      "promo": "The price is temporary; pricing.list holds the standing price and pricing.promo_label says when the promo ends.",
      "partial": "Part of the value was read on the cited page.",
      "not_applicable": "Editorial judgment or a relationship disclosure, not a checkable fact."
    },
    "verified_at": "The date we last re-read the cited page. Only models re-read on a date carry that date; others keep their earlier date."
  },
  "model": {
    "slug": "sarvam-prism",
    "name": "Sarvam Prism",
    "vendor": "Sarvam AI",
    "family": "Sarvam",
    "category": "llm",
    "status": "generally-available",
    "groups": [
      "open-weights"
    ],
    "short_answer": "Sarvam Prism is Sarvam AI's latest language model in our dataset, released Nov 3, 2026. Open weights (Apache 2.0). Sarvam AI's open-weights decision model built on Sarvam 105B, released Nov 3, 2026: it returns calibrated probabilities for fixed answer options (routing, triage, moderation, judging agent runs) instead of generating text. Verified against vendor sources on Nov 4, 2026.",
    "summary": "Sarvam AI's open-weights decision model built on Sarvam 105B, released Nov 3, 2026: it returns calibrated probabilities for fixed answer options (routing, triage, moderation, judging agent runs) instead of generating text.",
    "release_date": "2026-11-03",
    "latest_update": null,
    "api_id": null,
    "context_tokens": 32768,
    "max_output_tokens": null,
    "input_modalities": [
      "text"
    ],
    "output_modalities": null,
    "parameters": null,
    "license": "Apache 2.0",
    "open_weights": true,
    "pricing": null,
    "evidence": "Reported",
    "tested_note": null,
    "last_verified": "2026-11-04",
    "is_stale": false,
    "facts": {
      "release_date": {
        "fact": "release_date",
        "value": "2026-11-03",
        "source_url": "https://www.sarvam.ai/blogs/sarvam-prism",
        "source_type": "vendor_reported",
        "verified_at": "2026-11-04",
        "evidence_status": "confirmed",
        "as_of": "2026-11-04",
        "evidence": "Reported",
        "note": "Date on Sarvam's release post.",
        "anchor_url": "https://theagenticweekly.com/models/sarvam-prism#fact-release-date"
      },
      "context_tokens": {
        "fact": "context_tokens",
        "value": 32768,
        "source_url": "https://docs.sarvam.ai/api/token-factory/models/sarvam-prism",
        "source_type": "vendor_reported",
        "verified_at": "2026-11-04",
        "evidence_status": "confirmed",
        "as_of": "2026-11-04",
        "evidence": "Reported",
        "note": "Hosted API limit per question (state + question + options). The release post says the model handles up to 131,072 tokens per question.",
        "anchor_url": "https://theagenticweekly.com/models/sarvam-prism#fact-context-tokens"
      },
      "input_modalities": {
        "fact": "input_modalities",
        "value": [
          "text"
        ],
        "source_url": "https://docs.sarvam.ai/api/token-factory/models/sarvam-prism",
        "source_type": "vendor_reported",
        "verified_at": "2026-11-04",
        "evidence_status": "confirmed",
        "as_of": "2026-11-04",
        "evidence": "Reported",
        "anchor_url": "https://theagenticweekly.com/models/sarvam-prism#fact-input-modalities"
      },
      "license": {
        "fact": "license",
        "value": {
          "type": "open-weights",
          "name": "Apache 2.0",
          "openWeights": true
        },
        "source_url": "https://huggingface.co/sarvamai/prism",
        "source_type": "vendor_reported",
        "verified_at": "2026-11-04",
        "evidence_status": "confirmed",
        "as_of": "2026-11-04",
        "evidence": "Reported",
        "anchor_url": "https://theagenticweekly.com/models/sarvam-prism#fact-license"
      }
    },
    "vendor_claims": [
      "Sarvam reports a 71.8 average across three decision indices at a 44 ms median response on one B200 GPU, the highest score under 100 ms among the 25 decision models it tested. Vendor claim; we did not run it."
    ],
    "notes": [
      "Running the weights locally needs one NVIDIA GPU with FP8 support and about 120 GB of free memory (B200 or H200) and about 106 GB of disk, per the model card."
    ],
    "not_verified": [
      "Prism is a decision model, not a chat model: it returns a probability for each option you supply and never generates text, so it is not comparable with chat LLMs on our leaderboards.",
      "Hosted API pricing is in rupees (₹4 per 1M input tokens, output not billed) and is not converted here."
    ],
    "sources": [
      {
        "label": "Sarvam blog: Introducing Sarvam Prism",
        "url": "https://www.sarvam.ai/blogs/sarvam-prism"
      },
      {
        "label": "Sarvam API docs: Sarvam Prism",
        "url": "https://docs.sarvam.ai/api/token-factory/models/sarvam-prism"
      },
      {
        "label": "Hugging Face model card",
        "url": "https://huggingface.co/sarvamai/prism"
      },
      {
        "label": "Agentic Weekly brief",
        "url": "https://theagenticweekly.com/news/sarvam-prism-open-weights-decision-model"
      }
    ],
    "url": "https://theagenticweekly.com/models/sarvam-prism",
    "primary_source_url": "https://www.sarvam.ai/blogs/sarvam-prism",
    "anchors": {
      "facts": "https://theagenticweekly.com/models/sarvam-prism#facts",
      "sources": "https://theagenticweekly.com/models/sarvam-prism#sources",
      "tested": "https://theagenticweekly.com/models/sarvam-prism#tested",
      "not_verified": "https://theagenticweekly.com/models/sarvam-prism#left-out"
    },
    "markdown": "https://theagenticweekly.com/models/sarvam-prism.md",
    "api": "https://theagenticweekly.com/api/models/sarvam-prism"
  }
}