Langflow vs PolyAI (2026): Pricing, Features & Verdict
PolyAI 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
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.
PolyAI
7.1/10
PolyAI builds enterprise voice AI agents that answer and resolve customer service calls, with chat and messaging channels, for large contact centers.
Feature-by-Feature Comparison
| Feature | | |
|---|---|---|
| Scores | ||
| Overall Rating | 6.9/10 | 7.1/10 |
| Integration | 8/10 | 8/10 |
| Analytics | 5/10 | 6/10 |
| Customization | 9/10 | 8/10 |
| Ease of Use | 7/10 | 6/10 |
| Support | 5/10 | 8/10 |
| Cost | 9/10 | 3/10 |
| Scalability | 5/10 | 9/10 |
| Security | 4/10 | 9/10 |
| Output Quality | 6/10 | 9/10 |
| Pricing | ||
| Free plan | Yes | No |
| Cheapest paid plan | Contact for pricing | Contact for pricing |
| Estimated cost for 10 users | Free Langflow OSS (self-hosted) | Contact for pricing |
| Features | ||
| AI Agents | ||
| API Access | ||
| Chatbots | ||
| Enterprise Controls | ||
| Knowledge Base Search | ||
| Workflow Automation | ||
| Private Deployment | Not listed | |
| Transcription | Not listed | |
| Voice and Audio | Not listed | |
Langflow vs PolyAI cost by team size
| Team size | Langflow | PolyAI |
|---|---|---|
| 1 user | FreeLangflow OSS (self-hosted) | Contact for pricing |
| 5 users | FreeLangflow OSS (self-hosted) | Contact for pricing |
| 10 users | FreeLangflow OSS (self-hosted) | Contact for pricing |
| 25 users | FreeLangflow OSS (self-hosted) | Contact for pricing |
| 50 users | FreeLangflow OSS (self-hosted) | Contact for pricing |
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 Langflow and PolyAI suit
Langflow fits developers, startups and small business better; PolyAI fits enterprise better.
| Audience | Langflow | PolyAI |
|---|---|---|
| Developers | 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. | 5/10Self-serve Dialog-RSN-1 API and full-code Dialog Studio options serve builders. |
| Enterprise | 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. | 10/10It is built for high-volume enterprise contact centers, handles up to 10,000 concurrent calls and holds enterprise compliance certifications. |
| Startups | 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. | 4/10The Dialog-RSN-1 API with free credit lets developers experiment, but the core platform targets large brands. |
| Small Business | 4/10Without a managed hosted service and with AI concepts such as embeddings to learn, non-technical small firms will struggle. | 2/10Quote-based enterprise pricing and implementation projects suit small teams poorly compared with self-serve rivals. |
| Agencies | 7/10An independent reviewer used it for client agent projects and reported much faster delivery than hand-coding. | Not rated |
| Customer Support Teams | Not rated | 9/10Voice agents resolve customer service calls across channels for large contact centers. |
| E-commerce | Not rated | 5/10Retail is a target and order management calls are supported, but aimed at large brands. |
| Financial Services | Not rated | 8/10Sells to banking with PCI DSS, SOC 2 and handles authentication and payments. |
| Freelancers | Not rated | 1/10Enterprise contact-center platform with sales-led pricing. |
| Healthcare | Not rated | 7/10Healthcare is a named target industry for its call agents. |
| IT Teams | 6/10IT teams can run it on their own infrastructure with OpenTelemetry monitoring, but they carry the hardening and upgrade work. | Not rated |
| Mid-Market | Not rated | 5/10The self-serve API and per-minute pricing give some access, but the managed platform is sold through sales. |
| Utilities | Not rated | 7/10Utilities are a named customer industry, with billing and troubleshooting tasks. |
Which One Should You Choose?
Why choose Langflow
- Has a free plan (PolyAI does not)
- Higher Cost score (9/10 vs 3/10)
- Higher Customization score (9/10 vs 8/10)
- Better fit for developers (9/10 vs 5/10)
- Better fit for startups (8/10 vs 4/10)
Why choose PolyAI
- Higher Security score (9/10 vs 4/10)
- Higher Scalability score (9/10 vs 5/10)
- Better fit for enterprise (10/10 vs 6/10)
Pros & Cons
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.
PolyAI
Pros
- Reviewers repeatedly praise its natural-sounding voices and its handling of interruptions and topic changes in multi-turn calls.
- PolyAI claims around 90% end-to-end call resolution on its largest deployments and 99.994% trailing uptime.
- Compliance is strong for regulated industries: SOC 2 Type 2, ISO 27001, PCI DSS, GDPR, and US, UK, EU and APAC data residency.
- Managed pricing bundles maintenance, model upgrades, integrations and 24/7 support.
- One agent can serve voice, SMS, WhatsApp, web chat and email.
- G2 reviewers describe support as responsive during implementation.
Cons
- The platform has no public price, so buyers must go through a sales-led quote.
- Some users report occasional lag or slow responses.
- Reviewers want deeper voice analytics and reporting.
- It can struggle with complex or unusual interactions.
- It relies on underlying telephony providers rather than bundling a full phone system.
- It is oriented toward large enterprises, which makes it a poor fit for small teams.
Not sold on either?
Frequently Asked Questions
PolyAI scores higher on our AI Software criteria: 7.1/10 against 6.9/10 for Langflow. The largest gap is in Cost: 9/10 for Langflow and 3/10 for PolyAI.
Langflow has a free plan; PolyAI does not list one.
Langflow is the better fit for developers: we rate it 9/10 for them, against 5/10 for PolyAI.
