Langdock vs Langflow (2026): Pricing, Features & Verdict
Langdock is our pick, scoring 7.1/10 against 6.9/10 for Langflow on our AI Software criteria. Its biggest advantage: higher Security score (9/10 vs 4/10). Only Langflow has a free plan.
Last updated: November 2026
Langdock
7.1/10
Langdock is a Berlin-based, EU-hosted AI workspace where company teams chat with many AI models, build custom agents, and automate workflows under central governance.
Langflow
6.9/10
Langflow is an open-source, Python-based visual builder that developers use to create, test and deploy AI agents, RAG pipelines and MCP servers as APIs.
Feature-by-Feature Comparison
| Feature | | |
|---|---|---|
| Scores | ||
| Overall Rating | 7.1/10 | 6.9/10 |
| Integration | 7/10 | 8/10 |
| Analytics | 6/10 | 5/10 |
| Customization | 8/10 | 9/10 |
| Ease of Use | 7/10 | 7/10 |
| Support | 7/10 | 5/10 |
| Cost | 5/10 | 9/10 |
| Scalability | 8/10 | 5/10 |
| Security | 9/10 | 4/10 |
| Output Quality | 8/10 | 6/10 |
| Pricing | ||
| Free plan | No | Yes |
| Cheapest paid plan | €23.20/user/mo Core | Contact for pricing |
| Estimated cost for 10 users | €232/mo Core | Free Langflow OSS (self-hosted) |
| Features | ||
| AI Agents | ||
| API Access | ||
| Chatbots | ||
| Enterprise Controls | ||
| Knowledge Base Search | ||
| Private Deployment | ||
| Workflow Automation | ||
| Text Generation | Not listed | |
| Transcription | Not listed | |
Langdock vs Langflow cost by team size
| Team size | Langdock | Langflow |
|---|---|---|
| 1 user | €23/moCore | FreeLangflow OSS (self-hosted) |
| 5 users | €116/moCore | FreeLangflow OSS (self-hosted) |
| 10 users | €232/moCore | FreeLangflow OSS (self-hosted) |
| 25 users | €580/moCore | FreeLangflow OSS (self-hosted) |
| 50 users | €1,160/moCore | FreeLangflow OSS (self-hosted) |
The plan that fits each team size, billed monthly, before add-ons and usage charges. Each cost opens that tool's pricing calculator for the team size.
Who Langdock and Langflow suit
Langdock fits enterprise better; Langflow fits startups and developers better.
| Audience | Langdock | Langflow |
|---|---|---|
| Startups | 4/10There is no free tier, only a 7-day trial, and the product targets mid-sized and large organisations. | 8/10There is no license fee, and a basic RAG prototype can be built in minutes, so it suits teams with engineers but a small budget. |
| Developers | 6/10An EU-hosted unified API with per-token billing lets developers call the same models. | 9/10It is Python-based and open source, with editable component code, a REST API, MCP server and client support, and pip, Docker and Desktop installs. |
| Enterprise | 9/10Langdock offers SSO and SCIM, governance, ISO 27001 and SOC 2 compliance, and dedicated or on-premise deployments for large seat counts. | 6/10IBM sells SLA-backed support, and version 1.13 adds audit logging and user, team and role management, but the company must self-host and patch it. |
| IT Teams | 7/10SSO, SCIM, SAML and central governance let IT teams roll out AI to staff in a controlled way. | 6/10IT teams can run it on their own infrastructure with OpenTelemetry monitoring, but they carry the hardening and upgrade work. |
| Small Business | 5/10Small teams can use it, but reviewers say per-seat pricing feels steep for very small teams. | 4/10Without a managed hosted service and with AI concepts such as embeddings to learn, non-technical small firms will struggle. |
| Agencies | Not rated | 7/10An independent reviewer used it for client agent projects and reported much faster delivery than hand-coding. |
| Consultancies | 7/10EU hosting, multi-model access and document-based agents suit knowledge work on confidential client material. | Not rated |
| Financial Services | 6/10ISO 27001, SOC 2 Type II and EU hosting suit regulated organisations, though no banks or insurers are named. | Not rated |
| Freelancers | 3/10There is no free tier, and the product is built around team governance rather than solo use. | Not rated |
| Government | 5/10EU hosting and on-premise options for large deployments support public-sector data rules, but no government customers are named. | Not rated |
| Mid-Market | 8/10Per-seat plans with volume discounts and included workflow runs fit companies of a few hundred staff. | Not rated |
| Operations Teams | 5/10The workflow layer chains AI steps into automations, but reviewers say many actions still need humans. | Not rated |
| Remote Teams | 4/10Integrations with Slack and Microsoft 365 help, but the notes describe no remote-specific features. | Not rated |
Which One Should You Choose?
Why choose Langdock
- Higher Security score (9/10 vs 4/10)
- Higher Scalability score (8/10 vs 5/10)
- Better fit for enterprise (9/10 vs 6/10)
Why choose Langflow
- Has a free plan (Langdock does not)
- Higher Cost score (9/10 vs 5/10)
- Higher Integration score (8/10 vs 7/10)
- Better fit for startups (8/10 vs 4/10)
- Better fit for developers (9/10 vs 6/10)
Pros & Cons
Langdock
Pros
- Access to 40+ models from several providers in one interface, so teams can switch models without buying separate ChatGPT and Claude licences.
- Strong EU compliance posture: ISO 27001 certification, a SOC 2 Type II audit, GDPR compliance and EU hosting on Azure.
- SSO, SCIM and SAML are included even on the entry Core plan.
- Non-technical staff can build no-code agents with their own knowledge bases and permissions.
- Deployment options range from multi-tenant SaaS to single-tenant, bring-your-own-cloud and on-premise Kubernetes.
Cons
- There is no permanent free tier, only a 7-day trial.
- Dedicated and on-premise deployments require 2,000 to 5,000+ seats.
- Reviewers say its workflows still leave many actions to humans, so automation of operational tasks is limited.
- Building advanced agents has a learning curve.
- Per-seat pricing with Max seat upgrades and workflow add-ons can get expensive for small teams.
Langflow
Pros
- The MIT license means no software fees and full source access. Teams can change any component in Python instead of being limited to the built-in nodes.
- Flows can be served as REST APIs or exposed as MCP servers, so agents built on the canvas plug straight into other apps and MCP clients.
- It includes ready-made RAG building blocks such as document loaders, chunking, embeddings and many vector store connectors. One review found a basic RAG pipeline took about 10 to 15 minutes, against 1 to 2 hours in LangChain code.
- Developers can test each component or flow on its own in the Playground before connecting it, which speeds up iteration.
- It is very popular open-source software, with about 156,000 GitHub stars, and is now backed by IBM, which sells SLA support.
Cons
- DataStax shut down its hosted Langflow on Astra on April 9, 2026, so production use usually means self-hosting and running it yourself.
- Its security record is weak. Two CVSS 9.8 flaws covering authentication bypass and code execution affected versions 1.0.0 to 1.12.8, and several older Langflow flaws are in CISA's Known Exploited Vulnerabilities catalog.
- Users report instability between versions and slow responses, with some flows taking 10 to 30 seconds or more, so pinning versions and testing upgrades is recommended.
- The canvas becomes hard to manage beyond roughly 20 to 30 nodes, and reviewers describe limited multi-agent orchestration.
- Reviewers say the documentation and error messages are thin, which makes debugging tedious.
Not sold on either?
Frequently Asked Questions
Langdock scores higher on our AI Software criteria: 7.1/10 against 6.9/10 for Langflow. The largest gap is in Security: 9/10 for Langdock and 4/10 for Langflow.
Langflow has a free plan; Langdock does not list one.
Langflow is the better fit for startups: we rate it 8/10 for them, against 4/10 for Langdock.
