Cohere vs Crisp

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

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Priyansh Khodiyar's avatar
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 Cohere and Crisp 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 Cohere and Crisp, 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 Cohere if: you value industry-leading deployment flexibility: saas, vpc (<1 day), air-gapped on-premise with zero cohere infrastructure access - unmatched among major ai providers
  • Choose Crisp if: you value omnichannel messaging with native whatsapp, messenger, instagram, telegram, twitter/x, sms, line, slack integrations

About Cohere

Cohere Landing Page Screenshot

Cohere is enterprise rag api platform with unmatched deployment flexibility. Enterprise-first RAG API platform founded 2019 by Transformer co-author Aidan Gomez with $1.54B raised at $7B valuation. Offers Command A (256K context), Embed v4.0 (multimodal), Rerank 3.5 (128K), and 100+ connectors via Compass. Unmatched deployment flexibility: SaaS, VPC, air-gapped on-premise with zero Cohere data access. SOC 2/ISO 27001/ISO 42001 certified. NO native chat widgets, Slack/WhatsApp integrations, or visual builders—API-first for developers building custom solutions. Token-based pricing from free trials to enterprise. Founded in 2019, headquartered in Toronto, Canada / San Francisco, CA, USA, the platform has established itself as a reliable solution in the RAG space.

Overall Rating
89/100
Starting Price
Custom

About Crisp

Crisp Landing Page Screenshot

Crisp is omnichannel customer messaging platform with ai assistance. Customer messaging platform with AI features serving 600,000+ businesses. Founded 2015 (France) by Baptiste Jamin and Valerian Saliou, bootstrapped with $1.4M revenue (2024). NOT a RAG-as-a-Service platform—designed for unified customer communication with AI assistance. Proprietary Mirage AI model + third-party LLM support (GPT-4o, Claude, Llama). Critical gaps: NO programmatic knowledge querying API, NO vector/embedding infrastructure, NO bot management API, NO cloud storage integrations, NO SOC 2 certification (claims compliance without audit). €0-€295/month ($0-$316) with 50 AI uses/month on Essentials, unlimited on Plus. Founded in 2015, headquartered in Paris, France, the platform has established itself as a reliable solution in the RAG space.

Overall Rating
87/100
Starting Price
$45/mo

Key Differences at a Glance

In terms of user ratings, both platforms score similarly in overall satisfaction. From a cost perspective, Cohere starts at a lower price point. The platforms also differ in their primary focus: RAG Platform versus Customer Support. 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

logo of cohere
Cohere
logo of crisp
Crisp
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CustomGPTRECOMMENDED
Data Ingestion & Knowledge Sources
  • 100+ Prebuilt Connectors – Google Drive, Slack, Salesforce, GitHub, Pinecone, Qdrant, MongoDB Atlas
  • Multimodal Embed v4.0 – Text + images in single vectors, 96 images/batch processing
  • Binary Embeddings – 8x storage reduction (1024 dim → 128 bytes)
  • ⚠️ NO Native Cloud UI – Connectors require developer setup, not drag-and-drop
  • Five Primary Sources – Answer snippets (Q&A up to 1,000 chars), website crawling, Knowledge Base articles, conversation history, file uploads
  • Supported Formats – PDF, Word (DOC/DOCX), plain text (TXT), CSV via Data Importer
  • Website Crawling – Entire domain processing with sitemap support
  • ✅ Knowledge Base Sync – Articles automatically sync to AI training when updated
  • ⚠️ Training Permissions – Only workspace owners can launch AI training (bottleneck)
  • ❌ NO YouTube Transcripts – Video content ingestion not supported
  • ❌ NO Cloud Storage – Google Drive, Dropbox, Notion, OneDrive absent
  • ❌ LIMITATION – NO API endpoint to trigger retraining, NO webhook notification when complete
  • 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
  • Developer Frameworks – LangChain, LlamaIndex, Haystack, Zapier (8,000+ apps)
  • Multi-Cloud Deployment – AWS Bedrock, Azure, GCP, Oracle OCI, cloud-agnostic portability
  • Cohere Toolkit – Open-source (3,150+ GitHub stars) Next.js deployment app
  • ⚠️ NO Native Messaging/Widget – NO Slack, WhatsApp, Teams, embeddable chat requires custom development
  • Omnichannel Messaging – Website, email, WhatsApp Business API (Official Provider), Messenger, Instagram, Telegram, Twitter/X, SMS (Twilio), Line, Slack
  • Zapier Integration – Triggers (new contacts/messages) and actions (state changes, contact creation)
  • Website Embedding – JavaScript snippet, NPM packages (React/Vue/Angular), mobile SDKs (iOS/Android)
  • REST API – Comprehensive conversation management, CRM operations, helpdesk CRUD
  • Webhooks – Website Hooks + Plugin Hooks (50+ event namespaces, signed payloads)
  • ❌ CRITICAL LIMITATION – NO Microsoft Teams native integration documented
  • 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 Agent Features
  • North Platform (GA Aug 2025) – Customizable agents for HR, finance, IT with MCP
  • Grounded Generation – Inline citations showing exact document spans with hallucination reduction
  • Multi-Step Tool Use – Command models execute parallel tool calls with reasoning
  • ⚠️ NO Lead Capture/Analytics – Must implement at application layer, no marketing automation
N/A
  • 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
Customization & Branding
  • Open-Source Toolkit (MIT) – Complete frontend source code for unlimited customization
  • Fine-Tuning via LoRA – Command R models with 16K training context for specialization
  • White-Labeling – Fully supported via self-hosted deployments, NO Cohere branding
  • ⚠️ NO Visual Agent Builder – Agent creation requires Python SDK, not for non-technical users
N/A
  • 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
  • Command A – 256K context, $2.50/$10, 75% faster than GPT-4o, 2-GPU minimum
  • Command R+ – 128K context, $2.50/$10, 50% higher throughput, 20% lower latency
  • Command R – 128K context, $0.15/$0.60, 66x cheaper than Command A output
  • Command R7B – 128K context, $0.0375/$0.15, fastest and lowest cost
  • 23 Optimized Languages – English, French, Spanish, German, Japanese, Korean, Chinese, Arabic
  • Proprietary Mirage AI – Retrained November 2024 with 10x more data
  • Third-Party Integrations – ChatGPT/GPT-4o, Claude AI, Llama, Dialogflow
  • Mirage Reranking Model – Proprietary optimization (technical details undisclosed)
  • ⚠️ CRITICAL LIMITATION – Model selection dashboard-only, NO API endpoint to switch
  • ❌ NO Automatic Routing – No query complexity-based or cost optimization switching
  • ❌ LIMITATION – NO exposed configuration for developers to adjust AI behavior via API
  • 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)
  • Four Official SDKs – Python, TypeScript/JS, Java, Go with multi-cloud support
  • REST API v2 – Chat, Embed, Rerank, Classify, Tokenize, Fine-tuning, streaming
  • Native RAG – documents parameter for grounded generation with inline citations
  • LLM University (LLMU) – Learning paths for fundamentals, embeddings, SageMaker deployment
  • REST API Capabilities – Conversation management (8+ message types), People/CRM CRUD, Helpdesk API
  • Official SDKs (5 languages) – Node.js (baseline), Go, PHP/Python/Ruby (2023 revisions)
  • Mobile SDKs – iOS (Swift), Android (Java), React Native
  • Authentication – Basic Auth with token identifier/key pairs, granular scopes
  • Webhook Support – Website Hooks + Plugin Hooks (50+ event namespaces)
  • RTM API – WebSocket connectivity via Socket.IO for real-time events
  • ❌ CRITICAL LIMITATION – NO API to create/manage bots programmatically
  • ❌ CRITICAL LIMITATION – NO vector store endpoints, NO embedding API, NO semantic search
  • ❌ LIMITATION – Cannot trigger AI responses or query knowledge base via API
  • 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
  • Command A Performance – 75% faster than GPT-4o, runs on 2 GPUs
  • Embed v3.0 Benchmarks – MTEB 64.5, BEIR 55.9 among 90+ models
  • Rerank 3.5 Context – 128K token window handles documents, emails, tables, code
  • Grounded Generation – Inline citations show exact document spans, reduces hallucination
N/A
  • 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
  • Trial/Free – 20 chat/min, 1,000 calls/month for evaluation
  • Production Pay-Per-Token – Command A $2.50/$10, R7B $0.0375/$0.15 (66x cheaper output)
  • Production Unlimited Monthly – No monthly caps, 500 chat/min rate limit
  • Free Plan – €0/month, 2 seats, basic chat only (NO AI chatbot)
  • Mini Plan – €45/month (~$48), 4 seats (NO AI chatbot, messaging-only)
  • Essentials Plan – €95/month (~$102), 10 seats, AI chatbot with 50 uses/month limit
  • Plus Plan – €295/month (~$316), 20+ seats, unlimited AI resolutions, white-labeling
  • Enterprise – Custom pricing with enhanced rate limits, dedicated support, custom SLAs
  • ⚠️ Alternative Model – $95/month base + $45/month AI + $0.10 per AI action
  • ⚠️ CONCERN – AI usage caps on Essentials (50/month at €95) create automation barriers
  • 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
  • SOC 2 Type II + ISO 27001 + ISO 42001 – Annual audits, AI Management certification
  • GDPR + CCPA Compliant – Data Processing Addendums, EU data residency
  • Zero Data Retention (ZDR) – Available upon approval, 30-day auto deletion
  • Air-Gapped Deployment – Full private on-premise, ZERO Cohere infrastructure access
  • ⚠️ NO HIPAA Certification – Healthcare PHI processing requires sales verification
  • GDPR Compliant – Full compliance as French company with EU data storage
  • EU Data Residency – Messaging data (Netherlands), plugin data (Germany)
  • Encryption – All public network channels encrypted, real-time chat encrypted
  • Infrastructure Security – Hardware tokens, aggressive firewalls, VPN-only admin access
  • Two-Factor Authentication – Available for user accounts
  • ✅ Uptime SLA – Historically exceeds 99.99% (>99.9945% in 2019)
  • ⚠️ CRITICAL LIMITATION – SOC 2 claims compliance but NO formal audit (enterprise blocker)
  • ❌ LIMITATION – NO HIPAA, NO ISO 27001 certification for regulated industries
  • 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
  • Native Dashboard – Billing/usage tracking, API key management, spending limits, tokens
  • North Platform – Audit-ready logs, traceability for enterprise compliance
  • Third-Party Integrations – Dynatrace, PostHog, New Relic, Grafana monitoring
  • ⚠️ NO Native Real-Time Alerts – Proactive monitoring requires external integrations
N/A
  • 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
  • Discord Community – 21,691+ members for API discussions, troubleshooting, Maker Spotlight
  • Cohere Labs – 4,500+ research community, 100+ publications including Aya (101 languages)
  • Interactive Documentation – docs.cohere.com with 'Try it' testing, Playground export
  • Enterprise Support – Dedicated account management, custom deployment, bespoke pricing
  • ⚠️ NO Live Chat/Phone – Standard customers use Discord and email only
  • Developer Hub – Comprehensive docs at docs.crisp.chat with REST API references
  • Chappe Documentation Builder – 228 GitHub stars powers docs site
  • ✅ Chat-Based Support – Generally praised for responsiveness
  • Enhanced Support (Plus) – Higher tiers receive prioritized assistance
  • Bootstrapped Team – 14-20 employees handle 600,000+ businesses
  • ❌ LIMITATION – NO public forum for developer knowledge sharing
  • ❌ LIMITATION – Minimal GitHub community engagement (single-digit contributors)
  • 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
  • Playground – Visual model testing with parameter tuning, SDK code export
  • Dataset Upload UI – No-code dataset upload for fine-tuning via dashboard
  • ⚠️ NO Visual Agent Builder – Agent creation requires Python SDK, not for non-technical users
N/A
  • 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
Enterprise Deployment Flexibility ( Core Differentiator)
  • SaaS (Instant) – Immediate setup via Cohere API with global infrastructure
  • Multi-Cloud Support – AWS Bedrock, Azure, GCP, Oracle OCI, cloud-agnostic portability
  • VPC Deployment – <1 day setup within customer private cloud for isolation
  • Air-Gapped/On-Premises – Full private deployment, ZERO Cohere data access
  • ✅ Unmatched Among Providers – OpenAI, Anthropic, Google lack comparable on-premise options
N/A
N/A
Grounded Generation with Citations ( Core Differentiator)
  • Inline Citations – Responses show exact document spans informing each answer
  • Fine-Grained Attribution – Citations link specific sentences/paragraphs vs generic references
  • Rerank 3.5 Integration – 128K context filters emails, tables, JSON to passages
  • Native RAG API – documents parameter enables grounded generation without external orchestration
  • ✅ Competitive Advantage – Most platforms need custom citation, Cohere provides built-in
N/A
N/A
Multimodal Embed v4.0 ( Differentiator)
  • Text + Images – Single vectors combining text/images eliminate extraction pipelines
  • 96 Images Per Batch – Embed Jobs API handles large-scale multimodal processing
  • Matryoshka Learning – Flexible dimensionality (256/512/1024/1536) for cost-performance optimization
  • Binary Embeddings – 8x storage reduction for large vector databases, minimal loss
  • ✅ Top-Tier Benchmarks – MTEB 64.5, BEIR 55.9 among 90+ models
N/A
N/A
Multi- Lingual Support
  • Command A – 23 optimized languages: English, French, Spanish, German, Japanese, Korean, Chinese
  • Embed and Rerank – 100+ languages with cross-lingual retrieval, no translation
  • Aya Research Model – Cohere Labs open research covering 101 languages
N/A
N/A
R A G-as-a- Service Assessment
  • Platform Type – TRUE RAG-AS-A-SERVICE API PLATFORM for custom developer solutions
  • API-First Architecture – REST API v2 + 4 SDKs (Python, TypeScript, Java, Go)
  • RAG Technology Leadership – Embed v4.0 (multimodal), Rerank 3.5 (128K), inline citations
  • Deployment Flexibility – SaaS, VPC, air-gapped on-premise, unmatched among major providers
  • ⚠️ CRITICAL GAPS – NO chat widgets, messaging integrations, visual builders, analytics
  • Platform Classification – CUSTOMER MESSAGING PLATFORM with AI, NOT RAG-as-a-Service
  • Architecture Philosophy – Unified customer communication with AI assistance
  • Target Audience – SMBs wanting affordable messaging vs developers needing RAG control
  • ❌ Missing RAG Foundations – NO vector store, NO embedding APIs, NO semantic search
  • ✅ Use Case Fit – Excellent for USING AI-powered support, NOT BUILDING custom RAG
  • ⚠️ Competitive Positioning – Competes with Intercom/Zendesk (2/10 as RAG platform)
  • 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
Competitive Positioning
  • Market Position – Enterprise-first RAG API platform with unmatched deployment flexibility
  • Deployment Differentiator – Air-gapped on-premise, ZERO Cohere access vs SaaS-only competitors
  • Security Leadership – SOC 2 + ISO 27001 + ISO 42001 (rare AI certification) + GDPR
  • Cost Optimization – Command R7B 66x cheaper than A, model-to-use-case matching
  • Research Pedigree – Founded by Transformer co-author Gomez, $1.54B funding (RBC, Dell, Oracle)
  • vs CustomGPT – Crisp excels in omnichannel messaging; CustomGPT in RAG infrastructure
  • vs Intercom/Zendesk – Comparable features, lower pricing (€295 vs $500+/month)
  • vs LiveChat/Drift – Similar focus with Mirage AI and WhatsApp Official Provider differentiation
  • vs RAG platforms – Fundamentally different category, not designed for RAG development
  • ✅ Market Niche – Mature customer messaging for SMBs with AI assistance
  • 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
Customer Base & Case Studies
  • Financial Services – RBC (Royal Bank of Canada) for banking knowledge and compliance
  • Enterprise IT – Dell for knowledge management, Oracle for database docs
  • Global Operations – LG Electronics using multilingual capabilities for global operations
  • $1.54B Funding – Nvidia, Salesforce, Oracle, AMD, Schroders, Fujitsu investments
  • ✅ Scale – 600,000+ businesses served globally
  • ✅ Bootstrapped Success – $1.4M revenue in 2024 without external funding
  • Geographic Distribution – Global with strong European presence due to GDPR compliance
  • Target Market – SMBs seeking affordable Intercom alternatives
  • ✅ WhatsApp Validation – Official Business Solution Provider status
  • ✅ Uptime Track Record – >99.9945% reported uptime (2019)
N/A
A I Models
  • Command A – 256K context, $2.50/$10, 75% faster than GPT-4o
  • Command R+/R/R7B – 128K context, pricing from $0.0375 to $10 per 1M
  • 66x Cost Difference – Command R7B output 66x cheaper than Command A
  • 23 Optimized Languages – English, French, Spanish, German, Japanese, Korean, Chinese, Arabic
N/A
  • 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
  • Grounded Generation Built-In – Native documents parameter with fine-grained inline citations
  • Embed v4.0 Multimodal – Text + images in single vectors, 96 images/batch
  • Top-Tier Embeddings – MTEB 64.5, BEIR 55.9, Matryoshka (256/512/1024/1536 dim)
  • Rerank 3.5 – 128K token context handles documents, emails, tables, JSON, code
  • Binary Embeddings – 8x storage reduction (1024 dim → 128 bytes) minimal loss
N/A
  • 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
  • Financial Services – RBC deployment for banking knowledge, compliance, North for Banking
  • Healthcare – Ensemble Health for clinical knowledge (HIPAA verification required)
  • Enterprise IT – Dell for knowledge management, customer support, documentation search
  • Technology Companies – Oracle (database docs), LG Electronics (multilingual operations)
N/A
  • 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
Pricing & Plans
  • Free Tier – Trial API key with 20 chat/min, 1,000 calls/month
  • Production Pay-Per-Token – Command A $2.50/$10, R7B $0.0375/$0.15 (66x cheaper output)
  • Production Unlimited Monthly – No monthly caps, 500 chat/min rate limit
N/A
  • 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
Limitations & Considerations
  • Developer-First Platform – Optimized for teams with coding skills, NOT business users
  • NO Visual Agent Builder – Agent creation requires Python SDK, not for non-technical users
  • NO Native Messaging/Widget – NO Slack, WhatsApp, Teams, embeddable chat needs custom development
  • HIPAA Gap – No explicit certification, healthcare needs sales verification
  • NOT Ideal For – SMBs without dev resources, teams needing visual builders/messaging
  • ❌ Platform Classification – CUSTOMER MESSAGING with AI, NOT RAG-as-a-Service
  • ⚠️ AI Usage Constraints – 50 uses/month (Essentials €95), unlimited requires €295 Plus
  • ⚠️ Manual Retraining Required – Website crawls need manual refresh (only KB auto-syncs)
  • ⚠️ Training Permissions Bottleneck – Only workspace owners can launch AI training
  • ❌ No Cloud Storage Integrations – Google Drive, Dropbox, Notion, OneDrive absent
  • ❌ No Programmatic Bot Management – Dashboard-only, no API for bot creation
  • ❌ Missing RAG APIs – No vector store, embedding, semantic search endpoints
  • ❌ Analytics Dashboard-Only – No analytics API for programmatic access
  • ⚠️ Certification Gaps – SOC 2 absent (no formal audit), no HIPAA/ISO 27001
  • ✅ Use Case Fit – Excellent for USING AI support, NOT BUILDING custom RAG applications
  • 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
Core Chatbot Features
  • Chat API – Multi-turn dialog with state/memory of previous turns for context
  • Retrieval-Augmented Generation (RAG) – Document mode specifies which documents to reference
  • Generative AI Extraction – Automatically extracts answers from responses for reuse
  • Intent-Based AI – Beyond keyword search, surfaces relevant snippets for plain English
  • Chatbot Builder 4 AI Actions – MagicReply, Search Helpdesk, Search Webpages, Search Answer
  • Confidence Threshold System – Each AI action supports configurable thresholds
  • Multi-lingual Support – Automatic detection from browser settings, phone prefixes
  • Conversational Workflow Builder – Event-driven flows with Actions, Conditions, Exits
  • Chatbot Personality – Custom prompts define tone, brand voice alignment
  • Human Handoff – Smooth bot-to-agent transitions with 2-minute timeout detection
  • Co-browsing (MagicBrowse) – Live assistance for complex support scenarios
  • ⚠️ LIMITATION – NO programmatic personality management (dashboard-only, global configuration)
  • ✅ #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
Omnichannel Messaging Excellence
N/A
  • ✅ WhatsApp Official Business Solution Provider – Official partnership status
  • ✅ Unified Inbox Advantage – All channels managed in single dashboard
  • Channel-Agnostic Deployment – Single bot deploys across web, mobile, social media
  • SMS via Twilio – Text message support for broader reach
  • Social Media Coverage – Facebook, Instagram, Twitter/X, Telegram comprehensive presence
  • ✅ Competitive Positioning – 600,000+ businesses use omnichannel capabilities (9/10 rated)
N/A
Magic Reply A I Features
N/A
  • AI-Suggested Responses – One-click suggestions agents can send based on context
  • Conversation Summarization – Automatic summaries for shift handoffs
  • MagicTranscribe – Speech-to-text for voice message processing
  • Live Translation – Real-time multilingual support with automatic detection
  • Topic Categorization – Automatic conversation categorization for routing
  • Configurable Thresholds – Adjustable across 4 AI search actions to reduce hallucinations
  • ✅ Uncertainty Admission – AI states when it cannot find information (hallucination prevention)
  • ✅ Competitive Advantage – Agent productivity features vs autonomous platforms (8/10 rated)
N/A
Visual No- Code Chatbot Builder
N/A
  • Drag-and-Drop Blocks – Events (triggers), Actions (responses), Conditions (logic), Exit
  • Pattern Matching Wildcards – Flexible message detection with wildcard support
  • November 2024 Update – Merging action blocks, enhanced multilingual testing
  • Template Functionality – Import/export flows for sharing and backup
  • ✅ Non-Technical Accessibility – SME teams can build flows without coding
  • ⚠️ LIMITATION – Pre-built templates limited, no industry-specific templates out of box (7/10 rated)
N/A
R E S T A P I Comprehensiveness
N/A
  • Conversation Management Depth – Full CRUD with 8+ message types, state transitions
  • People/CRM Capabilities – Full CRUD, bulk CSV import, custom data fields
  • Helpdesk API Strength – Full CRUD for localized articles, multi-locale support (ISO 639-1)
  • ✅ Official SDK Ecosystem – Node.js, Go, PHP, Python, Ruby, iOS/Android/React Native
  • ✅ Competitive Positioning – API depth for messaging/CRM (8/10), RAG API (2/10)
N/A
E U Data Residency & G D P R Compliance
N/A
  • ✅ French Company Advantage – Crisp IM SAS ensures native GDPR compliance culture
  • ✅ Geographic Data Isolation – Messaging (Netherlands), plugins (Germany) within EU
  • Data Processing Agreements – Available for enterprise customers
  • GDPR Subject Rights – Full support for access, rectification, erasure, portability
  • ✅ Competitive Positioning – EU businesses favor EU-based vendors (8.5/10 rated differentiator)
  • ✅ 600,000+ Business Validation – Large customer base demonstrates trust
N/A
Security & Compliance
N/A
N/A
  • 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
Customization & Flexibility ( Behavior & Knowledge)
N/A
N/A
  • 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
Support & Documentation
N/A
N/A
  • 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
Additional Considerations
N/A
N/A
  • 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

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Final Thoughts

Final Verdict: Cohere vs Crisp

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

When to Choose Cohere

  • You value industry-leading deployment flexibility: saas, vpc (<1 day), air-gapped on-premise with zero cohere infrastructure access - unmatched among major ai providers
  • Enterprise security gold standard: SOC 2 Type II + ISO 27001 + ISO 42001 (AI Management System - rare) + GDPR + CCPA + UK Cyber Essentials
  • Grounded generation with inline citations showing exact document spans - built-in hallucination reduction vs competitors requiring custom implementation

Best For: Industry-leading deployment flexibility: SaaS, VPC (<1 day), air-gapped on-premise with ZERO Cohere infrastructure access - unmatched among major AI providers

When to Choose Crisp

  • You value omnichannel messaging with native whatsapp, messenger, instagram, telegram, twitter/x, sms, line, slack integrations
  • 600,000+ businesses served demonstrating mature product-market fit
  • Proprietary Mirage AI model plus third-party LLM support (GPT-4o, Claude, Llama, Dialogflow)

Best For: Omnichannel messaging with native WhatsApp, Messenger, Instagram, Telegram, Twitter/X, SMS, Line, Slack integrations

Migration & Switching Considerations

Switching between Cohere and Crisp 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

Cohere starts at custom pricing, while Crisp begins at $45/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

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

For most organizations, the decision between Cohere and Crisp 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: February 24, 2026 | This comparison is regularly reviewed and updated to reflect the latest platform capabilities, pricing, and user feedback.

See Also

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Priyansh Khodiyar's avatar

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.

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