Decagon vs Gemini Deep Research: 2026 comparison
Conversational support agents that resolve tickets like your best reps.
Long-running researcher inside Gemini that plans, browses and writes briefs.
Decagon vs Gemini Deep Research — specs
| Spec | Decagon | Gemini Deep Research |
|---|---|---|
| Agent Rank | 72 / 100 (A) | 73 / 100 (A) |
| Autonomy | Autonomous | Semi-autonomous |
| Pricing | Subscription · Free tier | Subscription · from $20 |
| Open source | No | No |
| Capabilities | Tool use, Memory, RAG | Browser, RAG, Memory, Vision |
| Integrations | 3 apps | 2 apps |
| Verified | Verified | Verified |
| Released | Apr 2025 | Mar 2025 |
Categories: Decagon → Support · Gemini Deep Research → Research
Agent Rank breakdown
- Autonomy fit
- 9
- Capabilities
- 6
- Integrations
- 4
- Pricing value
- 9
- Polish & maturity
- 5
- Verifiability
- 10
Auto-computed from autonomy, capabilities, integrations, pricing, maturity and editorial verification. Updated every deploy. How is this computed?
- Autonomy fit
- 8
- Capabilities
- 8
- Integrations
- 4
- Pricing value
- 8
- Polish & maturity
- 6
- Verifiability
- 10
Auto-computed from autonomy, capabilities, integrations, pricing, maturity and editorial verification. Updated every deploy. How is this computed?
Pros & cons
- +Chat-first agent with consistently 65–75% tier-1 deflection in production
- +Deep integration with existing helpdesks (Zendesk / Intercom / Salesforce)
- +Mid-market priced — easier conversation than Sierra
- −Voice support exists but is not the strength
- −Sales-led — no self-serve sign-up
- −Per-resolution pricing can sting if tickets spike unexpectedly
- +Goes the deepest of any research agent — reads 30+ sources per brief
- +Strong on multi-hop reasoning; produces structured, well-cited drafts
- +Native integration with Google Workspace (Drive, Docs)
- −Slowest of the three big research agents — typical brief takes 20–40 min
- −Output is verbose; expect to cut 30–40% in editing
- −Less effective on paywalled academic literature than Elicit
Pricing
- +Per-resolution pricing
- +Zendesk / Intercom integration
- +Onboarding included
- +Custom integrations
- +SSO + audit log
- +Dedicated CSM
- +Deep Research mode
- +1M-token context
- +Workspace integrations
- +Gemini in Docs, Sheets, Gmail
- +Admin controls
- +Custom data controls
- +Vertex integration
Which one should you pick?
Pick Decagon if cost is the main constraint or if you want the highest autonomy and the verification loop is in place.
Try Decagon →Pick Gemini Deep Research if its specific capabilities (Browser, RAG) match what you need.
Try Gemini Deep Research →Affiliate links. We may earn a commission at no extra cost to you.
Frequently asked
Should I pick Decagon or Gemini Deep Research in 2026?+
Pick Decagon if cost is the main constraint or if you want the highest autonomy and the verification loop is in place. Pick Gemini Deep Research if its specific capabilities (Browser, RAG) match what you need. Most working teams running both can use Decagon for primary work and Gemini Deep Research for the workflows where its specific strengths matter.
What's the price difference between Decagon and Gemini Deep Research?+
Decagon starts at Subscription · Free tier; Gemini Deep Research starts at Subscription · from $20. Decagon is the cheaper entry option. For team deployments the TCO can differ — use the AI Agent Rank TCO calculator for your specific volume.
Which is more autonomous, Decagon or Gemini Deep Research?+
Decagon is the more autonomous of the two (Autonomous vs Semi-autonomous). Higher autonomy ships throughput faster but requires verification loops in place — see our autonomous-vs-copilot framing for when each tier wins.