Glean vs Coveo vs Elastic: Real Enterprise AI Search Cost per Employee in 2026
Glean prices per employee. Coveo prices per query. Elastic prices per unit of compute. None of these is wrong, and none of them converts cleanly into either of the others — a company with 10,000 employees who each search rarely might spend far less on Coveo than on Glean, while the same company with heavy per-employee search volume could see that relationship reverse entirely.
The short answer
Glean does not publish pricing, but reported figures are unusually consistent: roughly $45–80 per user per month for the base Enterprise Search license, plus a separate ~$15/user/month Work AI add-on, with a 100-seat minimum that functions as a real floor — a 60-person company pays for 100 seats regardless of actual headcount. Coveo publishes a genuinely usable consumption rate: $1.50 per 1,000 standard queries, rising to $4 per 1,000 with core generative answers and another $4 per 1,000 for advanced generative features, plus $5/GB of storage beyond a 10GB free allowance — a structure that can look dramatically cheaper than Glean at low-to-moderate query volumes but says nothing about the platform or implementation fee that almost certainly sits underneath it. Elastic is the most infrastructure-native of the three, billing by compute resources rather than by user or query, reported around $16.40/month for a minimal deployment — a figure that scales with the compute you provision, not with headcount, and requires real DevOps capacity to operate.
What's published, by vendor
| Glean | Coveo | Elastic | |
|---|---|---|---|
| Public rate card | None — fully custom-quoted | Partial — a published per-query consumption rate exists, though the underlying platform fee is not itemized | Partial — published compute-unit pricing exists as a technical building block, not a turnkey per-seat or per-search rate |
| Pricing basis | Per user per month, plus a Work AI add-on, plus a 100-seat minimum | Per 1,000 queries, tiered by AI feature depth, plus per-GB storage above a free allowance | Per compute resource consumed — the buyer assembles and operates the underlying search infrastructure |
| Reported/published rate | $45–80/user/month base (reported), + ~$15/user/month Work AI add-on (reported) | $1.50/1,000 standard queries; $4/1,000 with core generative answers; +$4/1,000 for advanced generative features; $5/GB storage above 10GB free (published) | Reported ~$16.40/month for a minimal deployment; real cost scales with compute nodes, storage, and data volume actually provisioned |
| Minimum commitment | Reported ~100-seat floor, ~$60,000/year minimum ACV | Not itemized as a seat minimum — query-based pricing scales from very low volume, though enterprise contracts likely carry their own minimums not captured in the public per-query rate | Not itemized — Elastic's open-source core has no minimum, but production-grade managed deployments carry real infrastructure cost regardless of a nominal "starting" price |
| Requires in-house expertise? | Not particularly — Glean is sold as a managed, largely turnkey enterprise product | Moderate — Coveo requires configuration of connectors and relevance tuning | Significant — Elastic is reported to require genuine DevOps capacity to operate at production scale |
| Paid proof of concept | Reported, up to $70,000 for a 200-seat, 6–8-week PoC | Not itemized in available sources | Not applicable in the same form — Elastic's open-source core can be self-evaluated without a formal paid PoC |
Employee-count cost: where Glean's floor and Coveo's query-based model diverge sharply
Using Glean's reported base rate and 100-seat floor, and Coveo's published query rate at three illustrative search-intensity levels (10, 50, and 200 searches per employee per month):
| Employees | Glean, base license only (100-seat floor applies below that) | Coveo, standard queries only, at 10 searches/employee/month | Coveo, at 50 searches/employee/month | Coveo, at 200 searches/employee/month |
|---|---|---|---|---|
| 100 | $60,000/year ($5,000/month) | $18/year ($1.50/month) | $90/year ($7.50/month) | $360/year ($30/month) |
| 1,000 | $600,000/year | $180/year ($15/month) | $900/year ($75/month) | $3,600/year ($300/month) |
| 10,000 | $6,000,000/year | $1,800/year ($150/month) | $9,000/year ($750/month) | $36,000/year ($3,000/month) |
This gap is dramatic enough to demand an explicit caveat: Coveo's published $1.50-per-1,000-queries figure is almost certainly a consumption meter layered on top of a base platform or subscription fee that Coveo does not itemize publicly — one third-party estimate places a Coveo base platform fee around $600/month, and full enterprise Coveo deployments are reported in aggregate at $600,000–900,000/year for large organizations, figures that dwarf the pure per-query math shown above. The query-rate table illustrates Coveo's consumption pricing specifically, not its total cost of ownership, and should not be read as evidence that Coveo is simply 100–1,000 times cheaper than Glean.
Adding Glean's Work AI add-on and Coveo's generative-answer tiers
| Employees | Glean total (base + Work AI, at 100-seat floor or actual count) | Coveo with core generative answers, 50 searches/employee/month |
|---|---|---|
| 100 | ($60,000 + $18,000) = $78,000/year | 100 × 50 × 12 ÷ 1,000 × $4 = $240/year in AI-query consumption alone, before platform fee |
| 1,000 | ($600,000 + $180,000) = $780,000/year | $2,400/year in AI-query consumption alone |
| 10,000 | ($6,000,000 + $1,800,000) = $7,800,000/year | $24,000/year in AI-query consumption alone |
The pattern holds: Glean's fully-loaded, reported per-employee cost scales linearly and substantially with headcount, while Coveo's published consumption rate — in isolation — looks remarkably cheap even at high query volume and large headcount, reinforcing that the untitemized Coveo platform fee is doing most of the real cost-carrying in any genuine deployment.
Elastic: infrastructure cost, not headcount cost
Elastic's reported ~$16.40/month minimal-deployment figure describes a small compute footprint, not a company-wide search deployment — Elastic's real cost is a function of index size, query load, and node count, none of which map directly to employee headcount. One detailed cost analysis places a full enterprise Elastic-based search deployment at $300,000–560,000/year in aggregate — positioned as cheaper than Glean's reported enterprise range but requiring internal DevOps capacity (reported at 2–4 FTEs for 3–6 months for integration, security, and testing work) that neither Glean's nor Coveo's more managed offerings require to the same degree. This DevOps cost is real and should be added to any Elastic total-cost comparison, even though it doesn't appear as a line item on any Elastic invoice.
What the advertised price misses
- Glean's 100-seat minimum is a real floor, not a soft target — a 60-employee company evaluating Glean pays for the full 100 seats regardless of actual headcount, inflating its effective per-employee cost well above the reported base rate.
- Coveo's published per-query rate excludes the platform fee almost every real deployment carries on top of it — treating the consumption rate as the total cost would understate real Coveo spend by a wide, unquantified margin.
- Elastic's low reported entry price describes a minimal technical footprint, not a production enterprise search deployment — the DevOps labor needed to operate it at scale is a real, substantial cost that sits entirely outside any Elastic invoice.
- Glean's paid proof-of-concept, reported up to $70,000 for a 200-seat, 6–8-week engagement, is a real pre-purchase cost that a company should budget for separately from the eventual license, since it happens before any purchasing decision is finalized.
Break-even: time saved finding internal information
As a formula: annual labor value of time saved = employees × minutes saved per week × 52 weeks ÷ 60 × loaded hourly rate. Using an illustrative 5 minutes saved per employee per week and an illustrative $40/hour loaded labor cost:
| Employees | Hours saved/year | Illustrative annual labor value |
|---|---|---|
| 100 | 433 hours | $17,333 |
| 1,000 | 4,333 hours | $173,333 |
| 10,000 | 43,333 hours | $1,733,333 |
At 1,000 employees, this illustrative labor value ($173,333) sits below Glean's reported fully-loaded cost at that scale ($780,000/year with Work AI included) — meaning a genuine 5-minutes-a-week saving would not, on its own, justify Glean's reported price at this illustrative labor rate. At 10,000 employees, the illustrative value ($1,733,333) is closer to, but still below, Glean's reported total ($7,800,000/year) — suggesting either a larger time savings, a higher loaded labor rate, or additional value beyond pure time-savings (reduced duplicated work, faster onboarding, fewer support tickets) would be needed to justify Glean's reported enterprise pricing at this scale under this specific model.
Which platform fits which organization
- A large enterprise (1,000+ employees) with fragmented knowledge across many disconnected systems, willing to pay for a managed, largely turnkey deployment: Glean, accepting its reported per-employee cost and 100-seat floor as the price of that turnkey experience.
- An organization building customer-facing or revenue-adjacent search (e-commerce, support deflection) where query volume is the natural unit of value, not headcount: Coveo, provided the full platform fee is confirmed directly rather than assumed from the published per-query rate alone.
- A technical organization with existing DevOps capacity wanting maximum customization and willing to build and operate its own search infrastructure: Elastic, budgeting explicitly for the internal engineering time required alongside the infrastructure cost itself.
- A Microsoft 365-centric organization should also directly compare Glean's reported cost against Microsoft 365 Copilot's confirmed $30/user/month (on top of a qualifying E3 or E5 base license) before assuming a dedicated cross-platform search tool is necessary — the right comparison depends on how much of the organization's knowledge lives inside versus outside the Microsoft ecosystem.
Limitations and uncertainty
None of the three vendors publishes a complete rate card. Glean's reported figures ($45–80/user/month base, ~$15/user/month Work AI, 100-seat floor, up to $70,000 paid PoC) are drawn from multiple independent third-party analyses that converge reasonably closely, but none is Glean-confirmed. Coveo's per-query and per-GB rates are published, but the underlying platform fee is not itemized by Coveo and is estimated here only via third-party reporting (~$600/month base, reported) — this article's query-cost table should not be read as Coveo's total cost of ownership. Elastic's reported minimal-deployment price and enterprise-scale aggregate figures come from third-party cost analysis, not Elastic's own published rate card in a directly comparable form. The break-even calculation uses an illustrative time-savings figure and loaded labor rate that are this article's own assumptions, not vendor or research-confirmed statistics.
Sources
Checked late September 2026. None of the three vendors publishes a complete rate card. Coveo's per-query and per-GB storage rates are confirmed from Coveo's own published pricing documentation. Glean's and Elastic's figures, and Coveo's underlying platform fee, are drawn from multiple independent third-party pricing analyses and procurement data.