What are the main differences between Chatling and Voiceflow?

Chatling excels in Broadest AI model selection (32 models) among no-code platforms - includes GPT-5, Claude 4.5, Gemini 2.5 with per-block flexibility and Generous free tier: 100 AI credits, 2 chatbots, 8 models, 500K characters - meaningful testing capacity without credit card, scoring 85/100 in user ratings with N/A% accuracy. Voiceflow leads in Visual workflow builder enables non-technical teams to build complex agents and Real-time collaboration features rival Figma - 10+ people editing simultaneously with 90/100 overall rating and 88% accuracy. Key technical difference: Chatling focuses on 32 AI models including GPT-5, GPT-4.5, o4/o3 Mini, Claude 4.5/4/3.7 Sonnet, Gemini 2.5 Flash/Pro - broadest selection among no-code platforms while Voiceflow emphasizes Visual workflow canvas with drag-and-drop blocks. Pricing differs by $15/month.

Which is better for enterprises: Chatling or Voiceflow?

Voiceflow offers SOC 2 compliance for enterprise security. HIPAA compliance is available in Voiceflow. For scalability, both offer cloud-based deployment options. Voiceflow leads with 90/100 enterprise readiness score (88/100 enterprise features).

How much does Chatling cost vs Voiceflow?

Chatling starts at $25/monthly (freemium model), while Voiceflow begins at $40/monthly (freemium model). Both offer free tiers to get started, and free trials are available. Pricing is relatively comparable. See our detailed pricing breakdown for complete tier comparisons.

Can I migrate from Chatling to Voiceflow?

Migration from Chatling to Voiceflow typically requires API-based data export/import, which Voiceflow provides. Voiceflow provides comprehensive API access excellent documentation for the migration process. Estimated migration time: 1-2 days for cloud setup. Contact Voiceflow support for migration assistance and best practices.

What integrations do Chatling and Voiceflow support?

Chatling integrates with Zapier: 7,000+ apps with triggers (new contacts/conversations), actions (send messages), Website: WordPress, Shopify, Wix, Squarespace, Webflow, PrestaShop via JavaScript embed, WhatsApp Business API: native robust integration with media sharing, automated responses, HTTP Request blocks: custom API calls within visual builder for order lookups, CRM updates, CRITICAL GAPS: NO native Slack, Microsoft Teams, Telegram integrations - B2B messaging gap (7 integrations total). Voiceflow supports Zendesk, Salesforce, HubSpot, Intercom, Slack (15 integrations available). Both offer REST APIs for custom integrations. Voiceflow provides 114% more integrations, with webhook support for real-time data sync.

What are the main differences between Chatling and Voiceflow?

Chatling offers strong capabilities, scoring 0/100 in user ratings. Voiceflow provides unique strengths with 0/100 overall rating. Key technical difference: Chatling focuses on advanced features while Voiceflow emphasizes specialized capabilities.

Which is better for enterprises: Chatling or Voiceflow?

Both platforms provide enterprise-grade security. HIPAA compliance varies - contact vendors for details. For scalability, both offer cloud-based deployment options. Voiceflow leads with strong/100 enterprise readiness score.

How much does Chatling cost vs Voiceflow?

Chatling starts at custom pricing/month (subscription model), while Voiceflow begins at contact sales/month (subscription model). Both require paid plans. Pricing is relatively comparable. See our detailed pricing breakdown for complete tier comparisons.

Can I migrate from Chatling to Voiceflow?

Migration from Chatling to Voiceflow typically requires manual data transfer since API access may be limited. Voiceflow offers standard documentation for the migration process. Estimated migration time: 1-2 days for cloud setup. Contact Voiceflow support for migration assistance and best practices.

What integrations do Chatling and Voiceflow support?

Chatling integrates with (multiple platforms). Voiceflow supports (various tools). API availability varies by plan. Integration coverage is comparable.

Chatling vs Voiceflow

Make an informed decision with our comprehensive comparison. Discover which RAG solution perfectly fits your needs.

More about Voiceflow More about Chatling Get Started Today

Priyansh KhodiyarDevRel at CustomGPT.ai

Fact checked and reviewed by Bill Cava

Published: 01.04.2025Updated: 25.04.2025

In this comprehensive guide, we compare Chatling and Voiceflow across various parameters including features, pricing, performance, and customer support to help you make the best decision for your business needs.

Overview

When choosing between Chatling and Voiceflow, understanding their unique strengths and architectural differences is crucial for making an informed decision. Both platforms serve the RAG (Retrieval-Augmented Generation) space but cater to different use cases and organizational needs.

Quick Decision Guide

Choose Chatling if: you value broadest ai model selection (32 models) among no-code platforms - includes gpt-5, claude 4.5, gemini 2.5 with per-block flexibility
Choose Voiceflow if: you value visual workflow builder enables non-technical teams to build complex agents

About Chatling

Chatling is no-code ai chatbot platform with 32-model llm selection. No-code AI chatbot platform with 32-model LLM selection and SMB-focused pricing starting at $25/month. Developed by Envision Labs Inc. (Ontario, Canada), Chatling balances visual builder simplicity with REST API v2 access and native WhatsApp integration. 4.8/5 G2 rating (53-63 reviews). Critical gaps: NO SOC 2/HIPAA certifications, NO native human handoff, NO official SDKs, NO source citations. Founded in Year not disclosed, headquartered in Ontario, Canada, the platform has established itself as a reliable solution in the RAG space.

Overall Rating

85/100

Starting Price

$25/mo

About Voiceflow

Voiceflow is collaborative ai agent building platform for teams. Voiceflow is a collaborative workflow-first platform for building, deploying, and scaling AI agents. Born from Alexa skill development (2017-2019), it evolved into a full-stack agent platform with visual canvas design, function calling, and enterprise-grade observability. Used by Mercedes-Benz, JP Morgan, and 200K+ teams. Founded in 2017, headquartered in Toronto, Canada, the platform has established itself as a reliable solution in the RAG space.

Overall Rating

90/100

Starting Price

$40/mo

Key Differences at a Glance

In terms of user ratings, both platforms score similarly in overall satisfaction. From a cost perspective, pricing is comparable. The platforms also differ in their primary focus: Chatbot Platform versus AI Agent Platform. These differences make each platform better suited for specific use cases and organizational requirements.

⚠️ What This Comparison Covers

We'll analyze features, pricing, performance benchmarks, security compliance, integration capabilities, and real-world use cases to help you determine which platform best fits your organization's needs. All data is independently verified from official documentation and third-party review platforms.

Detailed Feature Comparison

Chatling	Voiceflow	CustomGPTRECOMMENDED
Data Ingestion & Knowledge Sources
File Formats – PDF, DOCX, plain text ONLY ❌ CRITICAL LIMITATION – NO CSV, Excel, or structured data format support Website Crawler – Up to 1,000 pages per domain with automatic extraction Sitemap Ingestion – Required for sites larger than 1,000 pages Help Desk Integration – Zendesk and Zoho for importing articles ❌ NO Cloud Storage – Google Drive, Dropbox, Notion, OneDrive require manual downloads ❌ NO YouTube Transcripts – Video content ingestion not supported Knowledge Base Limits – 500K chars (Free), 20M chars (Pro), 90M chars (Ultimate) ⚠️ Automatic Syncing – Daily, weekly, monthly schedules (NO real-time continuous sync)	Knowledge Base (KB) – RAG-powered retrieval: PDF, Word, CSV, plain text uploads Website crawling – Sitemap ingestion, auto-sync Google Drive, Notion, Confluence, Zendesk (Pro+) ✅ No explicit document limits, scales by storage tier ⚠️ Accuracy concerns – Reviews cite KB "often inaccurate" and "too general"	1,400+ file formats – PDF, DOCX, Excel, PowerPoint, Markdown, HTML + auto-extraction from ZIP/RAR/7Z archives Website crawling – Sitemap indexing with configurable depth for help docs, FAQs, and public content Multimedia transcription – AI Vision, OCR, YouTube/Vimeo/podcast speech-to-text built-in Cloud integrations – Google Drive, SharePoint, OneDrive, Dropbox, Notion with auto-sync Knowledge platforms – Zendesk, Freshdesk, HubSpot, Confluence, Shopify connectors Massive scale – 60M words (Standard) / 300M words (Premium) per bot with no performance degradation
Integrations & Channels
WhatsApp Business API – Native integration with full functionality, media sharing Website Embedding – Floating chat bubble, inline iframe, full-page deployment Zapier Integration – 7,000+ apps with triggers and actions CMS Plugins – WordPress, Shopify, Wix, Squarespace, Webflow, PrestaShop HTTP Request Actions – Custom API calls for order lookups, CRM updates ❌ CRITICAL GAPS – NO native Slack, Microsoft Teams, or Telegram integrations ❌ NO Mobile SDKs – App integration requires webview embedding	15+ native integrations – Zendesk, Salesforce, HubSpot, Intercom, Slack, Teams, Freshdesk Messaging & voice – WhatsApp, SMS, Alexa, Google Assistant, custom telephony E-commerce – Shopify, Stripe, Zapier, Make.com (5000+ apps), Calendly ✅ Custom integrations via unlimited HTTP API blocks, webhooks, iOS/Android SDKs	Website embedding – Lightweight JS widget or iframe with customizable positioning CMS plugins – WordPress, WIX, Webflow, Framer, SquareSpace native support 5,000+ app ecosystem – Zapier connects CRMs, marketing, e-commerce tools MCP Server – Integrate with Claude Desktop, Cursor, ChatGPT, Windsurf OpenAI SDK compatible – Drop-in replacement for OpenAI API endpoints LiveChat + Slack – Native chat widgets with human handoff capabilities
Core Chatbot Features
AI Intents – Train on example phrases for recognition without exact matching Visual Flow Builder – No-code drag-and-drop conversation design HTTP Request Blocks – Real-time API integrations within flows Lead Capture – Built-in system variables for name, email, phone collection Multi-language Detection – 85+ languages with automatic browser-based preference ❌ CRITICAL LIMITATION – NO native human handoff, fallback collects contact info ⚠️ Third-Party Escalation – Requires Zapier to Zendesk/Freshdesk (adds latency) AI Agents (Beta) – Task-oriented assistants beyond simple chatbots	Visual workflow canvas – 50+ drag-and-drop blocks (text, cards, buttons, forms, APIs) Multi-turn conversations – Context preservation across sessions with full transcript logging Agent handoff – Multi-agent routing, human handoff with context transfer 100+ languages – Intent recognition, entity extraction, slot filling via NLU ✅ Analytics dashboard: sessions, users, completion rates, drop-offs, A/B testing	✅ #1 accuracy – Median 5/5 in independent benchmarks, 10% lower hallucination than OpenAI ✅ Source citations – Every response includes clickable links to original documents ✅ 93% resolution rate – Handles queries autonomously, reducing human workload ✅ 92 languages – Native multilingual support without per-language config ✅ Lead capture – Built-in email collection, custom forms, real-time notifications ✅ Human handoff – Escalation with full conversation context preserved
Customization & Branding
Visual Customization – Primary/secondary colors, custom icons, header titles Custom Instructions – System prompt for persona, tone, behavior rules Temperature Control – 0-1 scale for creativity at global or per-block level Max Length Settings – Token limits to control response verbosity White-Labeling – Ultimate tier ($99/month) removes 'Powered by Chatling' ❌ CRITICAL LIMITATION – NO custom CSS injection for pixel-perfect brand matching	Visual widget editor – Custom colors, logos, fonts, button styles, bubble positioning White-labeling – Remove branding (Team+), custom domains (Pro+), CSS injection ✅ Dynamic personalization via user attributes, multi-channel customization, configurable tone/prompts	Full white-labeling included – Colors, logos, CSS, custom domains at no extra cost 2-minute setup – No-code wizard with drag-and-drop interface Persona customization – Control AI personality, tone, response style via pre-prompts Visual theme editor – Real-time preview of branding changes Domain allowlisting – Restrict embedding to approved sites only
L L M Model Options
Free Tier (8 Models) – GPT-4.1, GPT-4o, GPT-4o Mini, Claude 4 Sonnet, Claude 3.5 Haiku Paid Tiers (32 Total) – GPT-5, GPT-5 Mini, o4 Mini, Claude 4.5 Sonnet, Gemini 2.5 Pro/Flash ✅ Model Selection Flexibility – Configure globally OR per AI response block Temperature & Max Tokens – Exposed at both global and per-block levels ⚠️ NO Automatic Routing – Model selection is manual, no complexity-based switching Credit System – 1 credit per AI response on GPT-4o, monthly reset (no carryover) ✅ Competitive Advantage – 32-model roster exceeds most no-code platforms	Multi-model support – GPT-4, GPT-3.5, Claude, Gemini per agent/step configuration Function calling – GPT-4/Claude support with custom model API integration Prompt controls – System prompts, few-shot examples, temperature/token controls per request ✅ Cost optimization via model routing, RAG auto-augments LLM prompts	GPT-5.1 models – Latest thinking models (Optimal & Smart variants) GPT-4 series – GPT-4, GPT-4 Turbo, GPT-4o available Claude 4.5 – Anthropic's Opus available for Enterprise Auto model routing – Balances cost/performance automatically Zero API key management – All models managed behind the scenes
Developer Experience ( A P I & S D Ks)
REST API v2 – https://api.chatling.ai/v2/ with Bearer token auth Rate Limit – 300 requests/minute across all endpoints Chatbots Endpoint – Create, duplicate, list, retrieve, update settings AI Endpoint – List models, languages, chat with knowledge base Knowledge Base Endpoint – Add links/text/FAQs, resync, delete sources Conversations Endpoint – List, retrieve, update, access message history Conversation Context Persistence – conversation_id for multi-turn dialogues ❌ CRITICAL GAPS – NO official JavaScript/Python SDKs, NO Postman collections, NO OpenAPI specs ⚠️ Developer Burden – Must build own HTTP clients without SDK support	REST API & SDKs – JavaScript/TypeScript, Python, GraphQL API for queries API capabilities – Send messages, manage state, retrieve transcripts, update KB Custom code blocks – JavaScript execution within workflows, rate limits 10K/hour (Pro) ✅ Comprehensive docs, 15K+ community (Discord/Slack), Postman/OpenAPI specs	REST API – Full-featured for agents, projects, data ingestion, chat queries Python SDK – Open-source `customgpt-client` with full API coverage Postman collections – Pre-built requests for rapid prototyping Webhooks – Real-time event notifications for conversations and leads OpenAI compatible – Use existing OpenAI SDK code with minimal changes
Performance & Accuracy
Customer Testimonial – 45% of support questions resolved, 1,500+ email reduction ✅ Reliability Praised – "Chatbots have never gone down" in G2 reviews Large-Scale Deployment – 4,000+ website URLs with "reliable answers" ✅ 5-Minute Setup Time – Consistently praised rapid deployment RAG Grounding – Responses grounded in uploaded content ❌ NO Source Citations – Responses don't show which documents informed answers ❌ NO Confidence Scoring – No hallucination detection mechanisms documented ❌ NO Published Benchmarks – Performance claims rely on testimonials vs metrics	Response times – 200-500ms simple, 1-2s complex; 99.9% SLA (Enterprise) Accuracy claims – GoStudent case: 98% accuracy on 100K conversations Hallucination prevention – RAG grounding, confidence thresholds, source citations ⚠️ KB accuracy concerns – Reviews cite "often inaccurate", manual preprocessing required	Sub-second responses – Optimized RAG with vector search and multi-layer caching Benchmark-proven – 13% higher accuracy, 34% faster than OpenAI Assistants API Anti-hallucination tech – Responses grounded only in your provided content OpenGraph citations – Rich visual cards with titles, descriptions, images 99.9% uptime – Auto-scaling infrastructure handles traffic spikes
Pricing & Scalability
Free Tier – $0, 100 AI credits, 2 chatbots, 1 seat, 500K characters, 8 models Pro Tier – $25/month, 3,000 credits, 5 chatbots, 2 seats, 20M characters, 32 models Ultimate Tier – $99/month, 12K-20K credits, 35 chatbots, 6 seats, 90M characters ✅ Unlimited Non-AI Chats – All tiers include unlimited non-AI conversations 14-Day Money-Back Guarantee – Risk-free testing for initial purchases ✅ Competitive SMB Positioning – $25/month vs $700/month (Progress), $30K+/year (Drift) ⚠️ Credit System – Monthly reset with no carryover requires usage planning	Sandbox (Free) – 2 agents, unlimited interactions, 3 collaborators Pro: $50/month – 10 agents, unlimited interactions, 10 collaborators Team: $625/month – 50 agents, 25 collaborators, API, version control, RBAC Enterprise: Custom – Unlimited agents, SSO, SOC 2, SLA, dedicated support ⚠️ Pricing complexity – Per-seat ($15-25) + per-agent ($20-50) charges escalate quickly	Standard: $99/mo – 60M words, 10 bots Premium: $449/mo – 300M words, 100 bots Auto-scaling – Managed cloud scales with demand Flat rates – No per-query charges
Security & Privacy
GDPR Compliant – EU data residency (DigitalOcean Amsterdam) NO Training on Customer Data – OpenAI, Anthropic, Google agreements explicit Trust Center – trust.chatling.ai with security docs and sub-processor lists ❌ CRITICAL GAPS FOR ENTERPRISE – NO SOC 2, HIPAA, or ISO 27001 certification ❌ NO SSO/SAML Support – Enterprise identity provider integration absent ❌ NO IP Restriction Capabilities – Cannot limit access to specific IP ranges ❌ NO Audit Logs – Beyond basic analytics, compliance tracking limited ⚠️ Disqualifying for Regulated Industries – Finance, healthcare, government blocked	SOC 2 Type II certified – GDPR compliant, HIPAA ready (Enterprise) Encryption – AES-256 at rest, TLS 1.3 in transit, zero-retention policy SSO/SAML – Okta/Azure AD, RBAC (Team+), audit logs (Enterprise) ✅ On-premise deployment, EU data residency, DPA, IP whitelisting, key rotation	SOC 2 Type II + GDPR – Third-party audited compliance Encryption – 256-bit AES at rest, SSL/TLS in transit Access controls – RBAC, 2FA, SSO, domain allowlisting Data isolation – Never trains on your data
Observability & Monitoring
Dashboard Metrics – Conversation counts, new leads, peak chat times heatmap User Satisfaction Ratings – Helpful/unhelpful tracking with analytics percentages Real-Time Monitoring – Live chatbot interaction visibility API Data Extraction – Conversations/contacts via REST API for analysis ⚠️ CRITICAL LIMITATIONS – Export functionality minimal or in development ❌ NO Custom Report Builder – Users work with built-in dashboard views only	Analytics dashboard – Sessions, users, messages, completion rates, drop-off visualization Conversation funnels – Journey mapping with full transcript viewer Error tracking – Monitor API failures, timeouts, unhandled intents real-time ✅ User feedback (thumbs/CSAT/NPS), CSV/JSON export, Datadog/New Relic webhooks	Real-time dashboard – Query volumes, token usage, response times Customer Intelligence – User behavior patterns, popular queries, knowledge gaps Conversation analytics – Full transcripts, resolution rates, common questions Export capabilities – API export to BI tools and data warehouses
Support & Ecosystem
Email-Only Support – support@chatling.ai, NO live chat or phone ✅ G2 Support Rating – 9.2/10 quality despite response time concerns Comprehensive Documentation – docs.chatling.ai with getting started guides Video Tutorials – Supplement written documentation Action Tutorial Library – Practical HTTP request examples ❌ MISSING ECOSYSTEM – NO community forum, Discord, Slack workspace, or status page ❌ NO Public Roadmap – Feature development transparency limited	Founded 2017 – $28M funding (Felicis, OpenAI Startup Fund, Tiger Global) 200K+ teams – Mercedes-Benz, JP Morgan, Shopify; 15K+ developer community Support tiers – Community (Free), priority email (Pro), chat (Team), 24/7 CSM (Enterprise) ✅ 100+ templates, Academy certifications, comprehensive docs, partner program	Comprehensive docs – Tutorials, cookbooks, API references Email + in-app support – Under 24hr response time Premium support – Dedicated account managers for Premium/Enterprise Open-source SDK – Python SDK, Postman, GitHub examples 5,000+ Zapier apps – CRMs, e-commerce, marketing integrations
No- Code Interface & Usability
✅ 5-Minute Setup Time – Consistently praised by G2 reviewers Visual Flow Builder – Drag-and-drop conversation design without coding AI Intents Training – Example phrase interface for configuration Knowledge Base Management – Upload files, add text via simple dashboard Analytics Dashboard – Visual metrics with heatmaps accessible to business users ⚠️ G2 CRITICISM – Single flow architecture unwieldy for complex bots ❌ MISSING FEATURES – Cannot import/export flows for version control	Visual canvas builder – Drag-and-drop 50+ blocks, 80% no-code coverage Collaboration – 10+ simultaneous editors, real-time cursor tracking, comments Testing tools – Built-in chat simulator, one-click channel deployment ✅ Ease of use 8.7/10 (G2), 100+ templates, Academy certifications	2-minute deployment – Fastest time-to-value in the industry Wizard interface – Step-by-step with visual previews Drag-and-drop – Upload files, paste URLs, connect cloud storage In-browser testing – Test before deploying to production Zero learning curve – Productive on day one
32- Model L L M Selection
✅ Broadest Selection Among No-Code Platforms – 32 total models vs typical 3-5 Latest Models Included – GPT-5, GPT-4.5, o4/o3 Mini, Claude 4.5, Gemini 2.5 ✅ Free Tier Access – 8 models available without payment Hybrid Deployment Capability – Per-block model selection enables cost optimization ✅ Competitive Advantage – Exceeds CustomGPT, Drift, Yellow.ai in model variety ⚠️ Manual Selection Required – NO automatic routing based on query complexity	N/A	N/A
Whats App Native Integration
WhatsApp Business API – Native robust integration vs third-party workarounds Full Chatbot Functionality – All features work on WhatsApp including AI, lead capture Media Sharing – Images, documents, voice messages supported ✅ Consumer-Facing Strength – Strong for e-commerce, SMBs, global markets ✅ Competitive Gap – Progress, CustomGPT lack native WhatsApp integration ⚠️ B2B Messaging Gap – WhatsApp doesn't offset missing Slack/Teams	N/A	N/A
Competitive Positioning
✅ Market Position – SMB-focused no-code chatbot with 4.8/5 G2 rating ✅ Pricing Advantage – $25/month vs $700/month (Progress), 10-100x cheaper ✅ 32-Model Differentiator – Broadest LLM selection among no-code platforms ✅ Free Tier Generosity – 100 credits, 2 chatbots, 8 models without credit card ✅ WhatsApp Strength – Native integration for consumer-facing businesses ❌ Enterprise Gaps – NO SOC 2/HIPAA/ISO 27001, NO SSO, NO human handoff ❌ B2B Messaging Gaps – NO native Slack/Teams/Telegram ❌ Developer Limitations – NO official SDKs, NO source citations, NO confidence scoring	Market position – Workflow-first platform (founded 2017, $28M funding) for orchestration Target customers – Enterprise teams (200K+ users: Mercedes-Benz, JP Morgan) needing multi-agent workflows Key competitors – Botpress, Rasa, Microsoft Power Virtual Agents, NOT RAG tools Competitive advantages – 50+ blocks, 10+ real-time collab, 15+ integrations, SOC 2/GDPR/HIPAA ✅ Free Sandbox, Pro $50/month reasonable for startups, best for workflows ⚠️ Use case fit – Ideal complex workflows, NOT simple document Q&A	Market position – Leading RAG platform balancing enterprise accuracy with no-code usability. Trusted by 6,000+ orgs including Adobe, MIT, Dropbox. Key differentiators – #1 benchmarked accuracy • 1,400+ formats • Full white-labeling included • Flat-rate pricing vs OpenAI – 10% lower hallucination, 13% higher accuracy, 34% faster vs Botsonic/Chatbase – More file formats, source citations, no hidden costs vs LangChain – Production-ready in 2 min vs weeks of development
Limitations & Considerations
⚠️ Single Flow Management – Unwieldy for complex bots without folder organization ❌ NO Live Chat Support – Blended human-AI support unavailable without Zapier ⚠️ Separate Bots Per Channel – Need separate for website vs WhatsApp ⚠️ Barebones Analytics – Limited compared to enterprise platforms ❌ NO Flow Import/Export – Cannot copy or duplicate for version control ❌ Screen Reader Accessibility – Does not support blind users ⚠️ Setup Time Investment – Configuring tone and knowledge base not plug-and-play ⚠️ Integration Gaps – Heavy reliance on Zapier limits functionality ✅ Best for Small-to-Medium Bots – Not designed for massive enterprise projects	⚠️ KB accuracy issues – Reviews cite "often inaccurate", not ideal document Q&A ⚠️ Workflow-first platform – Excels orchestration, lags specialized RAG platforms ⚠️ Steep learning curve – Weeks onboarding despite visual interface ⚠️ Pricing complexity – Per-seat/agent fees escalate beyond base costs ⚠️ Visual canvas overwhelm – Complex agents (100+ blocks) difficult to manage ⚠️ SOC 2 Enterprise-only – No SLA guarantees on Pro/Team tiers	Managed service – Less control over RAG pipeline vs build-your-own Model selection – OpenAI + Anthropic only; no Cohere, AI21, open-source Real-time data – Requires re-indexing; not ideal for live inventory/prices Enterprise features – Custom SSO only on Enterprise plan
Customization & Flexibility ( Behavior & Knowledge)
N/A	Real-time updates – Workflow changes deploy instantly, no rebuild required Version control – Git-style versioning, rollback, Dev/Staging/Prod environments (Team+) Component reusability – Save sections, 100+ templates, dynamic KB syncing ✅ Task-specific flows, multi-language routing, user segmentation by custom attributes	Live content updates – Add/remove content with automatic re-indexing System prompts – Shape agent behavior and voice through instructions Multi-agent support – Different bots for different teams Smart defaults – No ML expertise required for custom behavior
Additional Considerations
N/A	Workflow-first platform – Excels complex workflows, KB accuracy lags RAG specialists Best use case – Multi-step API orchestration, team collaboration; NOT document Q&A ⚠️ Steep learning curve – Weeks onboarding despite visual interface ⚠️ Visual canvas overwhelm – Complex agents (100+ blocks) difficult to manage ⚠️ Pricing escalation – Per-seat/agent fees escalate beyond base costs quickly ⚠️ SOC 2 Enterprise-only – No SLA guarantees on lower tiers	Time-to-value – 2-minute deployment vs weeks with DIY Always current – Auto-updates to latest GPT models Proven scale – 6,000+ organizations, millions of queries Multi-LLM – OpenAI + Claude reduces vendor lock-in
A I Models
N/A	Multi-model support – GPT-4, GPT-3.5, Claude, Gemini per agent/step selection Function calling – GPT-4/Claude real-time action triggering during conversations Custom model integration – Proprietary LLM API support, temperature/token controls (0.0-2.0) ✅ Cost optimization routing: GPT-3.5 simple, GPT-4 complex queries	OpenAI – GPT-5.1 (Optimal/Smart), GPT-4 series Anthropic – Claude 4.5 Opus/Sonnet (Enterprise) Auto-routing – Intelligent model selection for cost/performance Managed – No API keys or fine-tuning required
R A G Capabilities
N/A	Knowledge Base – RAG vector search, semantic matching (PDF, Word, CSV, text) Website crawling – Sitemap ingestion, auto-sync Google Drive, Notion, Confluence, Zendesk Multi-turn context – Conversation preservation across sessions for coherent dialogues ⚠️ Accuracy concerns – Reviews cite KB "often inaccurate", "too general" ⚠️ No RAG controls – Cannot configure chunking, embeddings, similarity thresholds	GPT-4 + RAG – Outperforms OpenAI in independent benchmarks Anti-hallucination – Responses grounded in your content only Automatic citations – Clickable source links in every response Sub-second latency – Optimized vector search and caching Scale to 300M words – No performance degradation at scale
Use Cases
N/A	Complex workflows – API orchestration, multi-agent coordination, sophisticated logic Team collaboration – 10+ simultaneous editors with real-time tracking/comments Voice assistants – Alexa, Google Assistant, custom telephony conversational AI Customer service – 15+ integrations (Zendesk, Salesforce, HubSpot, Intercom) automation E-commerce – Shopify orders, product recommendations, lead gen with Calendly/CRM ⚠️ NOT ideal for – Simple document Q&A (KB accuracy issues)	Customer support – 24/7 AI handling common queries with citations Internal knowledge – HR policies, onboarding, technical docs Sales enablement – Product info, lead qualification, education Documentation – Help centers, FAQs with auto-crawling E-commerce – Product recommendations, order assistance
Security & Compliance
N/A	SOC 2 Type II – GDPR compliant, HIPAA ready (Enterprise), EU data residency Encryption – AES-256 at rest, TLS 1.3 in transit, zero-retention SSO/SAML – Okta, Azure AD, OneLogin; RBAC (Team+), audit logs (Enterprise) ✅ On-premise deployment for data sovereignty, DPA available	SOC 2 Type II + GDPR – Regular third-party audits, full EU compliance 256-bit AES encryption – Data at rest; SSL/TLS in transit SSO + 2FA + RBAC – Enterprise access controls with role-based permissions Data isolation – Never trains on customer data Domain allowlisting – Restrict chatbot to approved domains
Pricing & Plans
N/A	Sandbox (Free) – 2 agents, unlimited interactions, 3 collaborators Pro: $50/month – 10 agents, unlimited interactions, 10 collaborators, GPT-4/Claude Team: $625/month – 50 agents, 25 collaborators, API, version control, RBAC Enterprise: Custom – Unlimited agents, SSO, SOC 2, HIPAA, SLA, on-premise ⚠️ Per-seat charges – Additional editors $50/month (Pro), $15-25/month (Team)	Standard: $99/mo – 10 chatbots, 60M words, 5K items/bot Premium: $449/mo – 100 chatbots, 300M words, 20K items/bot Enterprise: Custom – SSO, dedicated support, custom SLAs 7-day free trial – Full Standard access, no charges Flat-rate pricing – No per-query charges, no hidden costs
Support & Documentation
N/A	Founded 2017 – $28M funding (Felicis, OpenAI Startup Fund, Tiger Global) 200K+ teams – Mercedes-Benz, JP Morgan, Shopify; 15K+ developer community Support tiers – Community (Free), priority email (Pro), chat (Team), 24/7 CSM (Enterprise) ✅ 100+ templates, comprehensive docs, Academy certifications, partner program	Documentation hub – Docs, tutorials, API references Support channels – Email, in-app chat, dedicated managers (Premium+) Open-source – Python SDK, Postman, GitHub examples Community – User community + 5,000 Zapier integrations
Core Agent Features
N/A	Agent step (2024) – Autonomous AI with tool use, decision-making, KB access Multi-agent orchestration – Supervisor pattern connecting specialized agents for conversation aspects Hybrid architecture – Hard business logic + Agent networks for flexibility Human handoff – Smooth transitions with full history transfer to support/sales Lead capture & CRM – Auto-create in HubSpot/Salesforce/Pipedrive, update deal stages	Custom AI Agents – Autonomous GPT-4/Claude agents for business tasks Multi-Agent Systems – Specialized agents for support, sales, knowledge Memory & Context – Persistent conversation history across sessions Tool Integration – Webhooks + 5,000 Zapier apps for automation Continuous Learning – Auto re-indexing without manual retraining
R A G-as-a- Service Assessment
N/A	Platform Type – WORKFLOW-FIRST with RAG capabilities, NOT pure RAG-as-a-Service Core Architecture – Visual canvas (50+ blocks) combining intent-based + RAG hybrid RAG Integration – KB with vector search (Qdrant) + GPT-4, secondary to workflows Developer Experience – REST API, JS/Python SDKs, custom code blocks, GraphQL ⚠️ RAG Limitations – KB "often inaccurate", no RAG parameter configuration, manual preprocessing	Platform type – TRUE RAG-AS-A-SERVICE with managed infrastructure API-first – REST API, Python SDK, OpenAI compatibility, MCP Server No-code option – 2-minute wizard deployment for non-developers Hybrid positioning – Serves both dev teams (APIs) and business users (no-code) Enterprise ready – SOC 2 Type II, GDPR, WCAG 2.0, flat-rate pricing

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Final Thoughts

Final Verdict: Chatling vs Voiceflow

After analyzing features, pricing, performance, and user feedback, both Chatling and Voiceflow are capable platforms that serve different market segments and use cases effectively.

When to Choose Chatling

You value broadest ai model selection (32 models) among no-code platforms - includes gpt-5, claude 4.5, gemini 2.5 with per-block flexibility
Generous free tier: 100 AI credits, 2 chatbots, 8 models, 500K characters - meaningful testing capacity without credit card
Unlimited non-AI chats across all tiers reduces usage anxiety and cost unpredictability

Best For: Broadest AI model selection (32 models) among no-code platforms - includes GPT-5, Claude 4.5, Gemini 2.5 with per-block flexibility

When to Choose Voiceflow

You value visual workflow builder enables non-technical teams to build complex agents
Real-time collaboration features rival Figma - 10+ people editing simultaneously
Function calling and API integrations allow true action-taking agents

Best For: Visual workflow builder enables non-technical teams to build complex agents

Migration & Switching Considerations

Switching between Chatling and Voiceflow requires careful planning. Consider data export capabilities, API compatibility, and integration complexity. Both platforms offer migration support, but expect 2-4 weeks for complete transition including testing and team training.

Pricing Comparison Summary

Chatling starts at $25/month, while Voiceflow begins at $40/month. Total cost of ownership should factor in implementation time, training requirements, API usage fees, and ongoing support. Enterprise deployments typically see annual costs ranging from $10,000 to $500,000+ depending on scale and requirements.

Our Recommendation Process

Start with a free trial - Both platforms offer trial periods to test with your actual data
Define success metrics - Response accuracy, latency, user satisfaction, cost per query
Test with real use cases - Don't rely on generic demos; use your production data
Evaluate total cost - Factor in implementation time, training, and ongoing maintenance
Check vendor stability - Review roadmap transparency, update frequency, and support quality

For most organizations, the decision between Chatling and Voiceflow comes down to specific requirements rather than overall superiority. Evaluate both platforms with your actual data during trial periods, focusing on accuracy, latency, ease of integration, and total cost of ownership.

📚 Next Steps

Ready to make your decision? We recommend starting with a hands-on evaluation of both platforms using your specific use case and data.

• Review: Check the detailed feature comparison table above
• Test: Sign up for free trials and test with real queries
• Calculate: Estimate your monthly costs based on expected usage
• Decide: Choose the platform that best aligns with your requirements

Last updated: January 19, 2026 | This comparison is regularly reviewed and updated to reflect the latest platform capabilities, pricing, and user feedback.

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Priyansh Khodiyar

DevRel at CustomGPT.ai. Passionate about AI and its applications. Here to help you navigate the world of AI tools and make informed decisions for your business.

Chatling vs Voiceflow