SAP-RPT (RPT-1 → 1.5 → 1.6) — Using SAP's Tabular Foundation Model
As of 2026-09-27
What is SAP-RPT (RPT-1 → 1.5 → 1.6)?
SAP-RPT is a generally available tabular foundation model in the generative AI hub of SAP AI Core (RPT-1 since Dec 2025, 1.5 since Jul 2026, 1.6 since Sep 2026): you send known rows plus [PREDICT] rows and get classifications or regressions without training a model. RPT-1 retires by 31 Dec 2026.
SAP-RPT (pronounced "rapid") is SAP's family of tabular foundation models: pretrained models that predict a value in a business table — a class such as a cost centre or a payment-delay bucket, or a number such as days late or spend — from the rows you send with the request, without training or fine-tuning a model for the use case. This page covers the product side: versions, how you get access, how you call it, the limits, the cost mechanics and where it fits in a delivery. How the model works internally is covered in C237.
Versions and status (as of 23 September 2026)
- SAP-RPT-1 — announced at SAP TechEd in November 2025 and generally available in the generative AI hub of SAP AI Core since 8 December 2025, as
sap-rpt-1-small(speed, throughput) andsap-rpt-1-large(accuracy). A later update added atop_kinput and confidence intervals in regression output. SAP has announced that SAP-RPT-1 will be retired by 31 December 2026. - SAP-RPT-1.5 — generally available on 27 July 2026, as
sap-rpt-1.5andsap-rpt-1.5-large, with an explainability feature. - SAP-RPT-1.6 — generally available on 7 September 2026, as
sap-rpt-1.6andsap-rpt-1.6-large, with explainability and a newcontext_modeparameter on the large variant. - SAP-RPT-1-OSS — an open-source variant on Hugging Face and GitHub, for research and non-commercial use; it is not the commercial model.
SAP's product page now calls the former "small" model simply the standard SAP-RPT model. All What's New entries flag the models as not available in sovereign cloud offerings.
Why it matters
- The earlier 'research artefact, not a product' framing is obsolete: RPT has been GA in the generative AI hub since 8 December 2025 and is on its third release (1.6, 7 September 2026).
- It turns a tabular prediction from a model-building project into an API call, which changes how you scope and price predictive use cases in SAP programmes.
- RPT-1 retires by 31 December 2026 — any pilot or proposal still on sap-rpt-1-* needs a migration line item now.
Key points
- Versions: RPT-1 (GA 8 Dec 2025, retiring by 31 Dec 2026), RPT-1.5 (GA 27 Jul 2026), RPT-1.6 (GA 7 Sep 2026); each in a standard and a -large variant; RPT-1-OSS is research-only.
- Access: free RPT Playground (rpt.cloud.sap, 25 rows / 4 columns / 50 classes; API up to 1,000 requests/hour) or the generative AI hub in SAP AI Core on the extended plan.
- Call pattern: context rows with known targets, then query rows with [PREDICT]; POST to /v2/inference/deployments/<id>/predict with prediction_config, index_column and rows.
- RPT-1.6 limits: 2,048 vs 65,536 context rows, 100 vs 256 columns, 512 query rows and 10 target columns per request; deep context mode only on -large above 8,000 context rows.
- Tabular orchestration registers data destination, tabular artifact and scenario once, then predicts from query rows only; cost is metered in GenAI tokens → capacity units (SAP Note 3437766).
- Since SAP's July 2026 Prior Labs acquisition, RPT shares the generative AI hub with Prior Labs' TabPFN-3.5-Plus (GA 15 Sep 2026); tabular orchestration is planned to route to both, so the choice becomes model-per-table-shape, benchmarked, not vendor loyalty.
- Decide standard vs -large vs deep mode by table complexity and available context volume; decide RPT vs an incumbent GBDT by how often the use case changes and whether a data-science team already owns it.
Terms used on this page
- Context rows
- Rows sent in the request whose target value is known; the model learns the pattern from them at inference time.
- Query rows
- Rows whose target cell holds the [PREDICT] placeholder; they must follow the context rows.
- Generative AI hub
- Capability of SAP AI Core and SAP AI Launchpad that exposes foundation models, including SAP-RPT, under the extended service plan.
- Deep context mode
- context_mode "deep" on sap-rpt-1.6-large: more context rows used for higher accuracy, at higher latency and cost.
- Tabular orchestration
- Managed generative AI hub workflow that stores data destination, tabular artifact and scenario once and selects context rows at each /v1/predict call.
Sources
- SAP News — Business AI innovation unveiled at SAP TechEd (Nov 2025: SAP-RPT-1, playground, OSS)
- SAP Help — SAP AI Core guide incl. What's New (RPT-1 GA 2025-12-08, RPT-1.5 2026-07-27, RPT-1.6 2026-09-07; metering)
- SAP Help — SAP-RPT-1.6 model specifications and context mode
- SAP Help — SAP-RPT-1.5 model specifications
- SAP Developers — Strategic Prediction with SAP RPT-1 (tutorial: deployment IDs, payload, SDKs)
- SAP Community — SAP-RPT-1.6, Tabular Orchestration and RPT Playground API now available (Sep 2026)
- SAP — SAP-RPT product page (versions, FAQ, model cards)
- SAP Community — From Data to Prediction: Integrating RPT-1.5 into SAP Analytics Cloud (Aug 2026)
- SAP Community — Calling SAP HANA Cloud ML and RPT-1.5 from SAP Snowflake via External Access Integration (Aug 2026)
- SAP Architecture Center — Predictive & Tabular AI (golden path)
- SAP Community — SAP-RPT-1.5 is Now Generally Available (July 2026)
- SAP News Center — TabPFN-3.5-Plus Now Available in SAP AI Core (15 September 2026)
Full card available to members. What the full card adds: the full decision framework · the SAP vs Snowflake / Databricks / Fabric comparison · the common pitfalls and their fix · the cheat sheet · the architecture schemas · the code blocks · the facts worth quoting.
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