Home/ElevenLabs Realtime vs Fish Audio S2

ElevenLabs Realtime vs Fish Audio S2

Side-by-side comparison of features, pros & cons, pricing, and community votes (2026).

🏆 Fish Audio S2 leads with 345 upvotes

ElevenLabs Realtime
ElevenLabs Realtime

Realtime voice agent models with 570ms to first audio

183 upvotes🎙️ AI Audio & VoiceOct 2026

ElevenLabs Realtime is an innovative speech-to-speech AI platform designed for creating highly natural and responsive voice agents. It integrates speech recognition, turn-taking, and large language models to deliver seamless conversational experiences. With versions tailored for different complexities—v1 Mini for everyday interactions and v1 Max for more demanding tasks—it offers impressive latency, with response times as low as 570ms to first audio. Supporting over 90 languages and compatible with ElevenAgents or OpenAI-like APIs, it provides flexibility for developers building multilingual voice solutions or integrating into existing systems. Its end-to-end tuning ensures that voice, understanding, and contextual responses work harmoniously, making it ideal for voice assistants, customer service bots, and interactive voice applications. ElevenLabs Realtime stands out for its low latency and extensive language support, enabling real-time, natural conversations across diverse use cases.

Pros

  • Very low latency with 570ms to first audio for quick responses
  • Supports over 90 languages, making it highly versatile globally
  • End-to-end tuning for natural, fluid conversations
  • Flexible integration with ElevenAgents or OpenAI-compatible APIs
  • Different models available for simple or complex tasks

Cons

  • Limited information on pricing and plans
  • No user ratings or reviews available yet
  • Requires technical expertise for integration and setup

Best for

  • • Developing real-time voice assistants and chatbots
  • • Creating multilingual customer support agents
  • • Building interactive voice response (IVR) systems
  • • Enhancing accessibility tools with natural speech

Pricing: Pricing not verified

Fish Audio S2
Fish Audio S2

Real Expressive AI Voices

345 upvotes🎙️ AI Audio & VoiceMar 2026

Fish Audio S2 is an open-source text-to-speech (TTS) platform that pushes the boundaries of voice synthesis with its expressive capabilities. Designed for developers, content creators, and AI enthusiasts, it enables users to generate highly natural and emotionally nuanced voices across over 80 languages. Unique features include the ability to incorporate natural language cues like [whisper] or [laughing nervously], facilitating more lifelike and contextually appropriate speech. Additionally, Fish Audio S2 supports multi-speaker dialogue generation in a single pass, making it a powerful tool for creating complex audio scenes effortlessly. Its open-source nature encourages customization and community-driven improvements, making it accessible for a wide range of creative and professional applications. Overall, Fish Audio S2 stands out for its blend of advanced expressiveness, multilingual support, and open accessibility, making it a compelling choice for those seeking realistic AI voices.

Pros

  • Open-source, allowing for customization and community collaboration
  • Supports over 80 languages, enabling global reach
  • Highly expressive with natural language cues for emotional nuance
  • Capable of generating multi-speaker dialogues in a single pass
  • Free to use and adapt for various projects

Cons

  • May require technical expertise to implement and customize
  • Potentially limited out-of-the-box user interface for non-developers
  • Performance and quality may vary depending on hardware and implementation

Best for

  • • Creating realistic voiceovers for video content and animations
  • • Developing conversational AI and virtual assistants with emotional depth
  • • Generating dialogue for video games and interactive media
  • • Producing multilingual audiobooks or podcasts

Pricing: As an open-source project, Fish Audio S2 is free to use and modify, with no associated licensing fees. Users can leverage the source code directly or contribute to its development, making it accessible for all levels of users from hobbyists to professionals.