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Glean vs Claude (2026): Enterprise Search or Claude Enterprise?

Glean vs Claude, compared by Coworker AI: Glean search and agents vs Claude Enterprise with connectors, on pricing, permissions, models and fit.

Dhruv Kapadia14 min read

In the Glean vs Claude decision, pick Glean if your knowledge is spread across dozens of apps and permission-aware search over all of it is the main job, and pick Claude Enterprise if you want a frontier assistant for analysis, writing and coding that pulls in company data through connectors when it needs it. Glean starts from an index of your company. Claude starts from the model.

They are less direct competitors than the "vs" suggests. Glean runs models from several providers, including Anthropic, and Glean is an Anthropic-verified connector inside Claude. The real decision is which product owns company context, and which one your people open every morning.

I read Glean's and Anthropic's own pages and documentation on October 19, 2026. Every product fact below links to its source, and claims that come from one vendor's comparison page are labelled as that vendor's claims.

Glean vs Claude at a glance

GleanClaude (Team and Enterprise)
Best forPermission-aware search and an assistant across many appsModel-first assistant for reasoning, writing, coding and long tasks
How it reaches company dataPersistent index of 275+ connectors plus a knowledge graphConnectors called when needed: Microsoft 365, Google Workspace, Slack, GitHub, plus a 974-entry connector directory
ModelsMulti-model: Glean lists 35+ models, including Claude, GPT and GeminiClaude models only
AgentsGlean Agents, Auto mode and Workflow mode, with triggersClaude Cowork for multi-step tasks; Claude Code for engineering
PricingNot published; seat plus usage credits (Enterprise Flex)Team: $20 to $25 per seat per month (Standard). Enterprise: $20 per seat per month plus usage at API rates
DeploymentSingle-tenant SaaS or VPC, per GleanAnthropic-hosted; US-only inference and customer-managed keys on Enterprise
Works with the otherGlean MCP server runs inside ClaudeClaude models are available inside Glean

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What is the difference between Glean and Claude?

Glean is an enterprise search and AI platform. It indexes your apps through 275+ out-of-the-box connectors, builds a knowledge graph over people, content and activity, and serves answers through the Glean Assistant and Glean Agents. Glean passed $300M in annual recurring revenue in May 2026 (Business Wire), so it is a mature vendor in this category.

Claude is Anthropic's AI assistant, sold to companies as Team and Enterprise plans. One Enterprise seat covers chat, Claude Code, Claude Cowork for multi-step work, and Claude inside Microsoft 365, Chrome and Slack (Claude Enterprise). Company data arrives through connectors an admin approves and each user signs in to.

Put simply, Glean sells company context with an assistant on top. Claude sells a model with connectors attached. That is why the two often end up in the same stack rather than in a straight replacement decision.

Claude vs Glean for workplace search: which finds answers better?

For pure workplace search across many systems, Glean is the stronger product today, because search over a maintained index is what it was built for. Claude is catching up with enterprise search features of its own.

How Glean searches. Glean keeps a persistent, permission-aware index of your connected apps and ranks results with a knowledge graph. Permission changes in source apps sync into that index, and Glean's MCP server applies the same source permissions and policy controls as the rest of the platform (Glean MCP security).

How Claude searches. Claude reaches each app through a connector when it needs information, as the person asking. Team and Enterprise plans include a preconfigured "Ask Your Org" project that searches across the apps an Owner connects, such as Slack and Microsoft 365, with search instructions maintained by Anthropic (Claude Help Center). Anthropic says connectors "respect the permissions users already have in the underlying systems" (Anthropic).

Glean makes the comparison sharper on its own Glean vs Claude Enterprise page. It describes Claude as running on "MCP connectors and federated retrieval without a persistent enterprise index", and says that in its evaluation of 180+ enterprise tasks against Claude Cowork, Glean's answer was preferred 78% of the time and used 81% fewer tokens. Those are Glean's numbers from Glean's own test. The architectural point behind them is fair: an index answers broad questions faster, while query-time connectors re-read sources on every request. Test both on your own questions before you rely on either set of figures.

How does Glean's model flexibility compare with Claude Enterprise?

Glean is multi-model and Claude Enterprise is not. Glean lists "35+ leading models including GPT-5.x, Claude Sonnet 4.6, Gemini, Llama, and more" and lets you mix models by use case or agent step (Glean). Premium model use draws on Glean's usage credits (Glean docs).

Claude Enterprise gives you Anthropic's full lineup, including its newest models, and nothing else (Claude pricing). For many teams that is the point: they chose Claude because they want Claude. If you expect to switch providers, or want cheaper models on routine work, Glean's hub, or a model-agnostic layer underneath your assistant, keeps that option open.

Which is better for enterprise governance: Glean or Claude Enterprise?

Both pass enterprise security reviews. Glean offers more deployment control; Claude Enterprise offers strong data and logging controls inside Anthropic's own cloud.

ControlGleanClaude Enterprise
PermissionsInherits source permissions into the index and knowledge graphConnectors run as each user; admins approve connectors and set per-tool permissions
DeploymentSingle-tenant SaaS or VPC, hosted in AWS or GCP, per GleanAnthropic-hosted; US-only inference option
Permission changesReflected as soon as they happen in the source app, per GleanChecked by the source app when the connector runs as the user
Identity and accessPermissions flow from the source systems into Glean's knowledge graphSSO, domain capture, SCIM and JIT provisioning, role-based access
LoggingAudit logs and compliance controls, per GleanAudit logs, Compliance API, Analytics API, OpenTelemetry
Data controlsIndexed content and query processing stay inside the customer's Glean tenant, per GleanCustom retention, customer-managed encryption keys, IP allowlisting; no training on inputs and outputs by default
Regulated dataGlean says it suits HIPAA-regulated workflowsHIPAA-ready configuration with a BAA

Sources: Glean vs Claude Enterprise, Claude Enterprise, Claude Help Center.

Anthropic's trust center lists SOC 2 Type 2, ISO 27001, ISO 42001 and HIPAA for Claude Enterprise (Anthropic Trust Center). Glean's comparison page makes several claims about Claude's audit and compliance coverage that Anthropic's current documentation does not match, which is common on vendor pages in a fast-moving category. Ask each vendor for its current documentation before a security review.

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Glean vs Claude pricing: how much does each cost?

Claude publishes its prices and Glean does not. Claude Enterprise is $20 per seat per month billed annually, plus all usage at API rates, with a 20-seat minimum (Anthropic). Glean sells Enterprise Flex: a per-user seat plus a pool of usage credits that premium models and agent runs consume (Glean docs). Prices below are as of October 2026.

GleanClaude TeamClaude Enterprise
List priceNot publishedStandard $20/seat/month annual ($25 monthly); Premium $100 annual ($125 monthly)$20/seat/month, billed annually
UsageFlexCredits for premium models and agent runsWeekly usage limits per seatAll usage billed at API rates, no per-seat cap
SeatsBuyer reports show minimums often around 100 to 250 users2 to 150Minimum 20
Reported spendVendr buyer median about $98,890/year (all company sizes)Seat price x seatsSeats plus metered usage
SourceGlean docs, VendrClaude Help CenterAnthropic

The Vendr figure is buyer-reported contract data, not Glean's price list, with a reported range of about $29,880 to $208,897 a year. For a 500-person company, Claude Enterprise seats come to $120,000 a year before usage, and usage can be the larger number for heavy Claude Code or Cowork users. Full breakdowns: Glean pricing and Claude API pricing.

Can you use Glean inside Claude?

Yes. Glean is an Anthropic-verified connector in Claude's directory, added in January 2026, and it brings Glean search, chat, document reading, people search and meeting lookup into Claude (Claude directory). An admin turns on Glean's MCP server, adds it to Claude, and users sign in with Glean, so every call runs with their Glean permissions (Glean host guide).

Running both is a common pattern: Glean owns the index and permissions, Claude is the assistant people talk to. The cost is two contracts, two admin consoles, and two usage meters, one for Glean credits and one for Claude tokens. Before buying both, decide which tool owns company context and which owns the conversation. For how Glean's MCP server works in detail, see Glean MCP explained; for the Claude side, see Claude MCP explained.

Is Glean better than Claude?

Glean is better than Claude for permission-aware search across a large number of apps. Claude is better than Glean as a general assistant for reasoning, writing, analysis and coding. Neither is better across the board.

Where Glean is stronger

  • Breadth of indexed sources. 275+ connectors feeding one index and knowledge graph.
  • Search quality across apps. Search is Glean's original product, with ranking built on its knowledge graph.
  • Model choice. One platform across Claude, GPT, Gemini and open models.
  • Deployment options. Single-tenant SaaS or VPC, which some regulated buyers require.

Where Claude is stronger

  • The model and the assistant. Claude's apps carry Anthropic's newest models and features, with Cowork and Claude Code in the same Enterprise seat.
  • Public, simple pricing. A $20 Enterprise seat and a self-serve path, against a quote-only process.
  • Reach through MCP. A directory of 974 connectors plus custom MCP connectors (Claude connectors), including Glean itself.
  • Work inside Office. Claude for Excel, PowerPoint and Word are generally available on paid plans (Claude for Microsoft 365).

Glean or Claude: which should you choose?

If this describes your companyStart with
Knowledge is spread across 30+ apps and finding it is the main problemGlean
You want the best assistant for analysis, writing and coding in one seatClaude Enterprise
Security requires a single-tenant or VPC deploymentGlean
You want public pricing and a fast self-serve startClaude Team or Enterprise
You want several model providers behind one interfaceGlean
Your people already live in Claude and need company context thereClaude plus a context layer connected through MCP

Whichever you lean toward, test both on 10 to 20 real questions your team asked last month. Score each answer on accuracy, citations, and whether it respected who is allowed to see what. If neither fits, this roundup of Glean alternatives covers the wider field.

What should feed company context into Claude?

If your people already work in Claude, the question becomes which context layer sits underneath it. Claude's own connectors fetch data per question, which keeps permissions simple but means a new chat usually searches and re-reads sources again, and on Claude Enterprise those tokens are billed at API rates. Glean is one answer: an index and graph that Claude calls over MCP.

A good context layer for Claude should do four things:

  • Keep company knowledge structured and current, so Claude gets facts and relationships rather than piles of documents to read.
  • Apply each person's source permissions on every answer.
  • Work in every AI tool your people use, not only one assistant, so context does not have to be rebuilt per tool.
  • Cut tokens on retrieval-heavy work, because usage-billed plans make re-reading expensive.

For the longer version, see what a context layer is, how a context graph differs from a knowledge graph, and build vs buy for an AI context layer.

How does Coworker feed company context into Claude?

Coworker is an enterprise AI platform built on OM2, its organizational memory. OM2 is a permission-aware knowledge graph built from 50+ connected tools, including Slack, Salesforce, HubSpot, Jira, Google Drive, Notion, Confluence, Gong, Zoom, Microsoft Teams and SharePoint. It breaks documents, messages and tickets into facts, maps the people, companies, projects and deals behind them, and keeps the graph current as new data arrives. Coworker's CEO puts it simply: "You can think of OM2 as a context graph."

How it works with Claude:

  • Inside Claude through MCP. Coworker MCP brings OM2 into Claude, ChatGPT, Cursor and any MCP client, using your existing Coworker login and SSO, with each person's source permissions applied. It acts as a memory MCP for the whole company, not just one user. The full source list is on the connectors page.
  • Answers relationships, not just lookups. Enterprise search returns documents to read. OM2 pre-synthesizes facts, so a question like "how has the Acme renewal evolved across the last five calls?" starts from structured context.
  • Fewer tokens on Claude. In Coworker's own benchmark, Claude using OM2 through Coworker MCP used 9x fewer tokens than Claude using its native connectors on retrieval and context-heavy tasks, with Coworker Learning on and no change of model (methodology on the benchmarks page; statistically significant benchmarks comparing Coworker MCP vs. Claude Native Tooling).
  • Agents that act, with approval gates. Coworker agents run on triggers and schedules and update Salesforce, HubSpot and Jira, with a person confirming CRM and ticket writes.
  • Model-agnostic. In enterprise AI stack terms, OM2 is the AI memory layer under whichever models you choose, so the context stays with you if you add another assistant later.

For direct comparisons, see Coworker vs Glean and Coworker vs Claude. If your team works in Claude and you want company context there, book a demo and I will show OM2 running on the tools your team already uses.

Frequently asked questions

Is Glean better than Claude?

Glean is better for permission-aware search across many apps, with 275+ connectors feeding one index. Claude is better as a general assistant for reasoning, writing, analysis and coding, with Claude Code and Cowork in the Enterprise seat. Many companies use both, with Glean connected inside Claude.

How does Glean's model flexibility compare with Claude Enterprise?

Glean is multi-model: it lists 35+ models, including Claude, GPT, Gemini and Llama, and lets you mix them by use case. Claude Enterprise runs only Anthropic's Claude models, including the newest ones.

Which is better for enterprise governance, Glean or Claude Enterprise?

Glean offers single-tenant SaaS or VPC deployment and enforces source permissions in its index. Claude Enterprise runs in Anthropic's cloud and adds SSO, SCIM, audit logs, a Compliance API, custom retention, customer-managed encryption keys, US-only inference and a HIPAA-ready configuration.

Can Claude connect to Glean?

Yes. Glean is an Anthropic-verified connector in Claude's directory. An admin enables Glean's MCP server, and users sign in so Claude can use Glean search, chat and document reading with their Glean permissions.

How much does Glean cost compared to Claude Enterprise?

Glean does not publish prices; buyer-reported contracts on Vendr show a median of about $98,890 a year. Claude Enterprise is $20 per seat per month billed annually, plus usage at API rates, with a 20-seat minimum, as of October 2026.

Yes. Claude Team and Enterprise include an "Ask Your Org" project that searches across connected apps such as Slack and Microsoft 365. It works through the connectors an Owner sets up for the organization.

What is the best way to give Claude company context?

Use a context layer that Claude can call through MCP and that applies each person's permissions. Glean's MCP server is one option. Coworker MCP is another, bringing OM2, Coworker's permission-aware organizational memory built from 50+ tools, into Claude and other MCP clients.

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