Compare
OpenAgent vs the platforms you're already evaluating
We'll tell you when one of these is the better fit. The page isn't a sales pitch. It's the real shape of the decision, written by people who've had to make it.
AI support pricing, compared
Fin, Zendesk, Agentforce, Ada, Decagon, Freddy: what every billing model costs at 5,000 conversations a month, annualised, with a source for each number.
Per-resolution billing vs your own LLM keys
vs Intercom
Intercom Fin: $0.99 per resolution. OpenAgent: from $3/site/month flat + your own LLM keys. Real feature parity table.
Intercom from $74/seat + $0.99/resolution
vs Tawk.to
Tawk's live chat is free; AI Assist bills after the free quota and hires/paid features stack on top. When the free tier stops being free.
Tawk: free chat, $1/AI response after quota
vs Crisp
Crisp Pro from $25/seat with AI usage caps on the Unlimited tier. Same feature map, different billing axis.
Crisp from $25/seat/month
vs Zendesk
Zendesk Suite Team is $55/agent/month before the AI add-on. We're chat-first; this is the parity table and when to pick each.
Zendesk from $55/agent/month
vs Freshdesk
Freshdesk meters seats, Freddy AI sessions ($0.49 each) and Copilot licences separately. When the AI budget runs out, the bot stops answering.
Freddy AI: $49 per 100 sessions
vs Chatwoot
Open-source core, per-agent cloud plans, and Captain AI metered in credits. Including the axis where Chatwoot wins outright: self-hosting.
Chatwoot from $19/agent + AI credits
vs Tidio
Conversation quotas by tier plus Lyro AI blocks from $32.50 per 50 conversations. Two meters, both running against your growth.
Lyro AI ~$0.65 per conversation
The short version
- Pick Intercom if you already pay for it, you're running a 50+ person support org, and your procurement team needs one invoice.
- Pick Tawk.to if your AI volume is essentially zero and you want free human-only chat.
- Pick Crisp if you want a Slack-tier workspace-style chat product and don't mind per-seat pricing.
- Pick OpenAgent if you want flat per-site pricing on the platform, your own LLM keys, no per-resolution AI markup, and a real RAG pipeline you can audit.