Features, pricing, and fit
Compare Decagon Voice and Realtime API on voice capabilities, pricing, and fit.
Compare Decagon Voice and OpenAI Realtime for AI phone agents, then match channels, workflows, and deployment models to your call flow.
Voice customer-service agent with configurable voice profiles, outbound calling, human handoff summaries, guardrails, and support-stack integrations.
Support teams that need phone automation connected to CRM, helpdesk, knowledge-base, or CPaaS systems.
Explore its buying criteria: AI phone agents · Contact-center AI.
Model-level realtime API for text and audio input/output over WebRTC, WebSocket, or SIP, with function calling.
Product and engineering teams building a spoken application around a realtime model instead of a packaged contact-center product.
Explore its buying criteria: AI phone agents · Voice AI platforms.
Both profiles checked 2026-09-04.
Use the table below to compare each provider’s documented scope.
Before you decide
Decagon Voice: Not publicly documented OpenAI Realtime: Token-based API pricing for text, audio, and image modalities; audio input/output rates are published per million tokens. Ask both vendors to quote the same expected workload, required channels, and implementation scope. Include required subscriptions and usage charges before comparing the total; the listed starting prices alone may cover different work.
The recorded knowledge and data sources for Decagon Voice include Not publicly documented. For OpenAI Realtime, they include Not publicly documented. Ask each provider to demonstrate access for the exact systems you use, with permissions, freshness, and failure behavior. A source missing from this directory is not proof that a provider cannot support it.
Use the same representative calls, approved instructions, and escalation rules in both pilots. How does it handle interruption and uncertainty? Which actions can it complete, and which require approval? What context reaches a human during transfer? Record conversation quality, completed tasks, human handoffs, and total cost in the buyer worksheet. Check these specific cautions before launch: Decagon Voice: Public detail on voice stack, telephony, regions, languages, and rates is limited; validate in a scoped pilot. OpenAI Realtime: Not a turnkey contact center. Implement telephony operations, identity, tools, monitoring, evaluation, retention, and escalation.
Record your requirements and pilot results in the buyer worksheet →
Swipe or scroll the table to see every column.
| Criterion | Decagon Voice | Realtime API |
|---|---|---|
| Provider type | Enterprise customer-service agent platform | Native realtime multimodal model API |
| Best fit | Support teams that need phone automation connected to CRM, helpdesk, knowledge-base, or CPaaS systems. | Product and engineering teams building a spoken application around a realtime model instead of a packaged contact-center product. |
| Key capabilities | voice support; multi-channel automation; workflows; enterprise integrations; analytics | audio-to-audio conversation; WebRTC; WebSocket; SIP; tools |
| Team sizes | mid-market; enterprise | startup; mid-market; enterprise; developer |
| Call surfaces | voice; chat; email | WebRTC; WebSocket; SIP; API / SDK |
| Voice stack | Not publicly documented | Native audio input/output with tool calling |
| Telephony | Not publicly documented | SIP connection; carrier integration remains buyer responsibility |
| Call controls | Not publicly documented | Not publicly documented |
| Languages | Not publicly documented | Not publicly documented |
| Integrations | Not publicly documented | Not publicly documented |
| Knowledge and data | Not publicly documented | Not publicly documented |
| Pricing model | Not publicly documented | Token-based API pricing for text, audio, and image modalities; audio input/output rates are published per million tokens. |
| Pricing signal | Not publicly documented. | GPT-Realtime audio $32 per million input audio tokens and $64 per million output audio tokens. |
| Free plan or trial | Not publicly documented | Not publicly documented |
| What stands out | Decagon combines voice turn-taking and profile controls with concise human handoff summaries, MCP/API connectivity, and cross-channel CRM/helpdesk/knowledge sync. | GPT-Realtime accepts and returns audio directly, while the Agents SDK supplies transport helpers plus tools, guardrails, handoffs, and session history. |
| Considerations | Public detail on voice stack, telephony, regions, languages, and rates is limited; validate in a scoped pilot. | Not a turnkey contact center. Implement telephony operations, identity, tools, monitoring, evaluation, retention, and escalation. |
Support teams that need phone automation connected to CRM, helpdesk, knowledge-base, or CPaaS systems.
Decagon combines voice turn-taking and profile controls with concise human handoff summaries, MCP/API connectivity, and cross-channel CRM/helpdesk/knowledge sync.
Product and engineering teams building a spoken application around a realtime model instead of a packaged contact-center product.
GPT-Realtime accepts and returns audio directly, while the Agents SDK supplies transport helpers plus tools, guardrails, handoffs, and session history.
Verify current pricing, limits, security, and required integrations directly with each provider before purchasing.
Test recognition, speech quality, interruptions, language switching, tool use, and human transfer with your own calls in the required language. Availability can vary by model, plan, and phone route.
DocsBot documents multilingual voice workflows and Japanese support. Verify the exact voice, phone path, and transfer behavior in your pilot. Review DocsBot language information ↗
Other providers’ language claims reflect cited vendor material; confirm Japanese and other required languages directly with each provider.
Listing does not imply endorsement or a performance guarantee. This directory is published by DocsBot. Editorial policy
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