Model comparison
GPT-Live 1 vs Eleven v3 Conversational
Compare GPT-Live 1 and Eleven v3 Conversational using the same provider-sourced voice & realtime rubric. No mystery score and no invented benchmark ranking.
Facts checked September 11, 2026
Model comparison
Compare GPT-Live 1 and Eleven v3 Conversational using the same provider-sourced voice & realtime rubric. No mystery score and no invented benchmark ranking.
Facts checked September 11, 2026
Quick take
OpenAI's full-duplex voice frontend for natural conversation that delegates deeper reasoning and actions to a separate backend agent.
Speech interruption does not automatically cancel backend work. Your application still owns permissions, confirmations, cancellation, durable task state, result validation, and playback safeguards.
ElevenLabs' expressive realtime text-to-speech model for natural dialogue, emotional delivery, audio tags, and more than 70 languages.
It is not a complete speech-to-speech agent by itself. End-to-end latency also includes transcription, LLM response time, transport, and playback.
Compare the published facts
Values use each provider's own published units and limits. A blank means the provider did not publish a directly comparable value in the sources reviewed.
| Voice & realtime | GPT-Live 1 | Eleven v3 Conversational |
|---|---|---|
| Price basisToken-, character-, or minute-based price for the listed access route. | $0.05 / voice minute + backend usage | $0.05 / 1K characters |
| Interaction modeSpeech-to-speech, audio-to-audio, or streamed text-to-speech behavior. | Full-duplex voice frontend with delegated backend | Realtime text-to-speech / text-to-dialogue |
| Published latencyProvider-published measurement with its stated exclusions; not a Cody test. | Not published | ~280ms, excluding app/network |
| LanguagesProvider-documented language coverage or a clear unpublished marker. | Multiple accents, dialects, and languages; exact list not published | 70+ languages |
| Tools & controlNative function calling, reasoning, or speech-control features. | Responses or client delegation to backend agents and tools | Audio tags; orchestration handled by your agent stack |
| Context or input limitDocumented token or character limit where it is meaningful. | Not published | 5K-character guidance for v3 family; verify endpoint |
How to choose
Start with the job you need to complete, then validate cost, access, and policy details on your exact provider route.
OpenAI says API content is not used for training by default. Default abuse-monitoring logs may be retained up to 30 days, with additional controls available to qualifying organizations.
Provider and API links
ElevenLabs says enterprise customer data is not used for training by default. Other users can opt out of model improvement; enterprise zero-retention and regional environments are available with plan-specific limits.
Provider and API links
Frequently asked questions
GPT-Live 1: OpenAI's full-duplex voice frontend for natural conversation that delegates deeper reasoning and actions to a separate backend agent. Eleven v3 Conversational: ElevenLabs' expressive realtime text-to-speech model for natural dialogue, emotional delivery, audio tags, and more than 70 languages.
Consider GPT-Live 1 when your priority is Natural customer-service and scheduling calls. Consider Eleven v3 Conversational when your priority is Expressive support and assistant voices. Test both with your own data and provider route before committing.
No. This comparison aligns provider-published facts for the Voice & realtime category. It does not claim a universal winner or combine incompatible third-party benchmark scores.