Sumo Logic pricing in 2026: the Flex model, credits, and real spend

Sumo Logic's current go-forward pricing is the Flex model, and it inverts the usual SIEM economics. Ingesting and indexing log data is free. You do not pay a per-GB ingest charge, and you do not manage or rehydrate storage yourself. Instead, credits are consumed by two things: the volume of data you search (scan) and the volume you store. Sumo describes this as paying for analytics and insights, not data management.

A credit is the unit of consumption, priced at roughly $1.50 MSRP for Enterprise Suite Flex on US annual terms, with regional and payment-term uplifts on top. Because ingest is free, the cost lever moves from how much data you collect to how much of it you actually query and how long you retain it. This is a genuine structural difference from ingest-metered vendors, and it is why a Sumo bill cannot be reconstructed from a GB-per-day figure alone.

The one important exception to free ingest is Cloud SIEM. Logs ingested via Cloud SIEM do consume credits on ingest, and Cloud SIEM Enterprise is an add-on purchased on top of the base Flex plan. So a security deployment has two cost drivers that a pure observability deployment does not: the Cloud SIEM ingest stream, and the search volume that detections and investigations generate.

Search cost is where the data tiers matter. Under Flex, scanning any tier consumes credits, with the rate depending on the tier: Continuous carries the highest scan rate, Frequent a lower one, and Infrequent the cheapest at roughly 0.016 credits per GB scanned, with very low ongoing cost when you are not querying it. That makes Infrequent the right home for compliance logs and other keep-but-rarely-read data, where you accept a small scan charge on the rare occasion you search rather than paying higher rates to keep everything hot.

Storage volume also consumes credits, so retention is a real cost dimension even though ingest is free. The practical discipline under Flex is to watch scan behaviour and retention rather than ingest. Sumo's Account Overview page reports credit consumption for Flex data searches, which is the metric to monitor day one, since broad wildcard scans across large volumes are the fastest way to burn credits.

Sumo Logic earns its place in three buyer profiles. First, organisations that ingest a lot but search selectively, where the free-ingest Flex model directly rewards the way they actually work. Second, teams with high-volume compliance retention, where routing rarely-read logs to the Infrequent tier means you pay a small per-scan charge only on the rare occasion you investigate, rather than paying to keep everything queryable. Third, teams leaving an ingest-metered vendor because collection volume, not query volume, was driving the bill; moving the cost basis to scan and storage can materially lower total spend for that profile.

Sumo is the weaker pick for two profiles. First, teams that run broad, constant scans across all of their data, where the free-ingest advantage erodes because scan volume is high and the Infrequent tier's pay-per-scan charge starts to add up. Second, Microsoft-heavy shops whose log mix is dominated by Microsoft 365 and Azure sources, where Sentinel's free Microsoft 365 ingest and native Entra ID integration can make Sentinel structurally cheaper for that data. Sumo competes with Sentinel on non-Microsoft sources but cannot match the bundled-Microsoft economics.

Against Splunk specifically, the comparison turns on metering rather than a headline discount. A workload-priced Splunk deployment at 50 GB/day sits at roughly $50K base and around $100K all-in. Sumo removes the ingest charge and bills scan and storage instead, so the relative outcome depends entirely on how much of the ingested data your team actually searches. Model your real query patterns before assuming a saving in either direction.