Compare Text-to-Speech Models and API Pricing

ByteDance: Seed Audio 1.0

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Seed Audio 1.0 is ByteDance Seed's unified full-scene audio generation model designed to create speech, dialogue, sound effects, ambience, and other acoustic elements together within a single coherent audio scene. It supports expressive voice generation from text descriptions, reference-audio-conditioned voice generation, multi-character dialogue, multilingual speech, emotion and prosody control, environmental sound design, and fine-grained dialogue timing with approximately 100 ms precision. The model can generate up to two minutes of audio in a single pass and supports continuation for longer content while maintaining character voice consistency. Its architecture combines language-level scene understanding with a diffusion-based acoustic generator operating in a high-fidelity latent audio space.

Sarvam AI: Bulbul V2

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Bulbul v2 is a high-speed, cost-effective TTS model supporting 11 Indian languages. It is distinguished by its 'Just Like India' authentic regional accents and offers granular control over pitch, speed, and volume. Optimized for real-time synthesis in customer service and e-learning applications.

ElevenLabs: Eleven v4 Turbo

elevenlabs

Eleven v4 Turbo is ElevenLabs' real-time text-to-speech model designed for conversational voice agents, AI assistants, interactive characters, and other latency-sensitive speech applications. It combines the expressive range and voice fidelity of the Eleven v4 family with approximately 100 ms median inference latency and around 150 ms median time to first speech. The model supports more than 90 languages and accents, high-fidelity voice cloning, expressive Audio Tags, pronunciation control, multilingual voice consistency, and streaming speech generation. It is optimized for natural long-running conversations where emotional expression, speaker consistency, responsiveness, and low latency are important.

Fishaudio: S1

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Fish Audio S1 is a multilingual text-to-speech model capable of generating highly expressive speech. It utilizes a fixed vocabulary of preset emotion tags enclosed in parentheses at the beginning of sentences (e.g., sound effects, tone markers) to steer the emotion and delivery of the generated voice.

Fishaudio: S2 Pro

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Fish Audio S2 Pro is an advanced 4B parameter open-weight text-to-speech model built on a dual-autoregressive architecture. It supports approximately 80 languages and introduces fine-grained, word-level inline tag control, allowing users to embed open-ended natural language instructions inside square brackets directly in the script (e.g., [whispering], [pitch up]). It outputs 44.1 kHz audio and natively supports zero-shot voice cloning from a reference clip.

Fishaudio: S2.1 Pro

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Fish Audio S2.1 Pro is a state-of-the-art production-grade neural speech synthesis model optimized for ultra-low latency. With a Time-to-First-Audio (TTFA) as low as ~70-90ms, it is built for live conversational AI and turn-taking dialogue systems. It natively supports 83 languages without separate endpoints, features high-consistency voice cloning from reference audio, and excels at natural prosody for long-form narration.

Google: Gemini 3.8 Flash Lite TTS

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Gemini 3.8 Flash-Lite TTS is Google's fast and cost-efficient text-to-speech model optimized for high-throughput production, real-time voice-agent cascades, read-aloud applications, voice replication, and everyday speech generation. It combines low latency with expressive and natural speech while using the same API schema and structured prompting format as Gemini 3.8 Flash TTS. The model supports 101 languages, single-speaker and multi-speaker generation, prebuilt and custom voices, voice design, voice replication, inline vocal events, and structured control over speaking style, accent, pace, and tone.

Google: Gemini 3.8 Flash TTS

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Gemini 3.8 Flash TTS is Google's flagship creative text-to-speech model designed for studio-grade voice generation, expressive acting, long-form narration, complex multi-speaker dialogue, regional accents, and precise pronunciation. It provides high acoustic fidelity, natural cadence, strong adherence to speaking-style instructions, and stable voice identity across extended conversations and narrations. The model supports 130 languages, single-speaker and multi-speaker generation, prebuilt and custom voices, voice design, voice replication, regional dialects, IPA pronunciation overrides, inline vocal events, and fine-grained control over style, accent, pace, and tone.

XAI: Grok TTS 1.0

grok

Grok TTS 1.0 is xAI's text-to-speech model designed for expressive, multilingual, and low-latency speech synthesis. It supports natural-sounding speech generation with built-in and custom voices, fine-grained delivery control through speech tags, pronunciation control using IPA and phrase replacements, adjustable speaking speed, and character-level timestamps. The model supports both batch and real-time streaming synthesis and can produce high-fidelity audio as well as telephony-optimized output, making it suitable for voice agents, narration, conversational applications, accessibility, call-center systems, and other production speech-generation workloads.

Microsoft: MAI Voice 2 Flash

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MAI-Voice-2-Flash is Microsoft's ultra-fast, low-latency, high-fidelity expressive text-to-speech model optimized for real-time conversational voice applications. It provides natural and expressive speech generation with granular emotion control, multilingual synthesis, zero-shot voice prompting from short reference audio, and high speaker fidelity while prioritizing responsiveness. The model is designed for latency-sensitive applications including call-center agents, AI voice assistants, IVR systems, conversational agents, customer support, and other interactive speech experiences where rapid speech generation is critical.

Microsoft: MAI Voice 2.1 Flash

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MAI-Voice-2.1-Flash is Microsoft's ultra-fast, low-latency multilingual text-to-speech model optimized for high-volume real-time voice applications. It produces high-fidelity, natural and emotionally expressive speech across 23 supported languages while prioritizing responsiveness and serving efficiency. The model supports granular emotion and speaking-style control, multilingual synthesis, cross-language speakers, and zero-shot voice prompting or gated instant voice cloning from short consented reference audio. It is designed for latency-sensitive applications including AI voice agents, call-center agents, voice assistants, IVR systems and other real-time conversational experiences.

Qwen: Qwen Audio 3.0 TTS Plus

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Qwen-Audio-3.0-TTS-Plus is Qwen's high-quality text-to-speech model designed for natural, expressive, and controllable speech synthesis. The Plus variant prioritizes synthesis quality, naturalness, timbre fidelity, and detailed expressiveness for professional speech-generation workloads. It supports multilingual speech synthesis, Chinese dialects, voice cloning, natural-language instruction control, and fine-grained control over emotion, tone, character, speaking rate, volume, and synthesis style. The model is also designed to remain robust when working with reference audio containing noise or reverberation, making it suitable for content creation, audiobooks, film and video dubbing, brand voices, virtual characters, and premium speech services.

ElevenLabs: Eleven v4

elevenlabs

Eleven v4 is ElevenLabs' flagship text-to-speech model designed for highly expressive, emotionally rich, and natural speech generation. Built on a new speech synthesis architecture, it interprets tone, pacing, emotion, speaker identity, and conversational context to produce voice performances with greater realism and control. The model supports more than 90 languages, high-fidelity professional voice cloning, natural multi-speaker dialogue, and inline Audio Tags for controlling emotions, delivery styles, non-verbal expressions, and sound effects. It is optimized for premium content creation, character voiceovers, audiobooks, dubbing, narration, multilingual productions, and other applications where voice quality, expressiveness, and speaker consistency are prioritized.

Microsoft: MAI Voice 2

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MAI-Voice-2 is Microsoft's high-fidelity multilingual text-to-speech model designed for natural, expressive, and emotionally controllable speech generation. It supports granular emotion and speaking-style control, stable speaker identity across long-form content, multilingual synthesis, and code-switching for supported language pairs. The model also provides zero-shot voice matching from a short consented reference recording without requiring fine-tuning, making it suitable for audiobooks, podcasts, narration, accessibility, branded voices, customer support, voice-over, and other applications where speech quality and speaker consistency are prioritized.

Microsoft: MAI Voice 2.1

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MAI-Voice-2.1 is Microsoft's highest-fidelity and most expressive text-to-speech model in the MAI-Voice family, designed to generate natural, emotionally rich and studio-quality speech across 23 languages. It provides human-like intonation, rhythm and prosody, granular emotion and speaking-style control, stable speaker identity across long-form generations, multilingual synthesis, and zero-shot voice prompting from short consented reference audio without additional fine-tuning. The model is optimized for applications where speech fidelity and expressiveness are more important than minimum latency, including audiobooks, podcasts, narration, educational content, media production, branded voices and professional voice-over workflows.

Sarvam AI: Bulbul V3

sarvam

Bulbul v3 is a production-grade text-to-speech model optimized for 11 Indian languages. It features native support for code-mixed speech, professional voice cloning, and industry-leading stability in telephony environments (8 kHz). It automatically infers prosody, emphasis, and emotional tone.

ElevenLabs: Eleven v3 Conversational

elevenlabs

Eleven v3 Conversational is ElevenLabs' real-time text-to-speech model built on Eleven v3 and optimized for natural, expressive, context-aware voice conversations. It is designed for live voice agents and interactive applications where emotional range, conversational awareness, and low latency are important. The model maintains context across dialogue turns and dynamically adapts tone, pacing, and delivery to match the intent and emotional character of a conversation. It supports more than 70 languages, expressive Audio Tags for controlling emotions and non-verbal reactions, streaming speech generation, pronunciation dictionaries, and character-level timing alignment, making it suitable for customer-service agents, AI assistants, phone calls, interactive characters, and other real-time conversational voice applications.

ElevenLabs: Eleven Flash v2.5

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Eleven Flash v2.5 is ElevenLabs' ultra-low-latency multilingual text-to-speech model designed for real-time voice agents, conversational AI, interactive applications, telephony, and large-scale speech generation. It generates high-quality natural speech with approximately 75 ms model inference latency while supporting 32 languages and up to 40,000 characters per request. The model balances speech quality, speed, and cost for latency-sensitive production workloads and supports streaming generation, voice cloning, multilingual voice consistency, and multiple audio output formats. It is particularly suited for AI calling agents, customer support systems, chatbots, games, IVR applications, and other real-time experiences where fast time-to-speech is critical.

ElevenLabs: Eleven Flash v2

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Eleven Flash v2 is ElevenLabs' ultra-low-latency English text-to-speech model designed for real-time conversational applications, voice agents, interactive assistants, telephony, and other latency-sensitive speech workloads. It generates natural speech with under approximately 75 ms model inference latency and supports up to 30,000 characters of text per API request. The model prioritizes speed and responsiveness while maintaining natural vocal performance, making it particularly suitable for AI calling agents, customer-support systems, IVR applications, conversational AI, games, and other real-time voice experiences.

Minimax: Speech 2.8 Turbo

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MiniMax Speech 2.8 Turbo is the speed-optimized variant of MiniMax's flagship text-to-speech model. Delivering sub-250 millisecond latency, it provides fast, natural, and expressive voice synthesis ideal for real-time applications like conversational AI, voice agents, and interactive experiences. It retains the core advanced capabilities of the HD tier—including 40+ language support, rapid 10-second voice cloning, emotion control, and native sound tags—while prioritizing high-throughput generation and cost-efficiency.

ElevenLabs: Eleven v3

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Eleven v3 is ElevenLabs' expressive multilingual text-to-speech model designed for natural, emotionally rich voice generation and complex multi-speaker dialogue. It supports more than 70 languages and provides fine-grained control over speech through Audio Tags that can direct emotions, tone, pacing, accents, delivery style, non-verbal reactions, and sound effects. The model can generate realistic conversations with multiple speakers, including interruptions, emotional transitions, and contextual shifts, making it well suited for audiobooks, character performances, games, dubbing, cinematic dialogue, narration, and other creative voice applications where expressiveness and performance quality are prioritized.

ElevenLabs: Eleven Multilingual v2

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Eleven Multilingual v2 is ElevenLabs' multilingual text-to-speech model designed for natural, lifelike, and emotionally nuanced speech generation across 29 languages. It maintains consistent voice identity, personality, and speaker characteristics across languages while providing stable, high-quality output for longer-form speech. The model is optimized for voiceovers, audiobooks, e-learning, localization, narration, professional content, and multilingual productions where speech quality and consistency are more important than ultra-low latency.

Minimax: Speech 2.8 HD

minimax

MiniMax Speech 2.8 HD is the flagship studio-grade text-to-speech model from MiniMax. Built on an autoregressive Transformer architecture with a Flow-VAE decoder, it delivers highly expressive, broadcast-ready voice synthesis. It features native sound tags for realistic paralinguistic sounds (such as laughs, sighs, and breaths), robust emotion control, and high-fidelity voice cloning from just 10 seconds of audio. Supporting over 40 languages, it is optimized for professional audiobook narration, podcast production, and high-end video voiceovers.

ElevenLabs: Music v1

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Eleven Music v1 is ElevenLabs' first-generation studio-grade music generation model designed to create complete musical tracks from natural-language prompts and structured composition plans. It supports a wide range of genres and musical styles, including instrumental music and songs with generated vocals and lyrics. Users can control track structure, style, section duration, lyrics, instrumentation, and whether the result should be instrumental. The model can generate tracks from 3 seconds up to 10 minutes and supports multilingual vocal generation. It is suited for background music, game soundtracks, podcasts, advertising, social content, songwriting, and other music-production workflows.

ElevenLabs: Music v2

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Eleven Music v2 is ElevenLabs' second-generation studio-grade music generation model designed to create complete songs, instrumentals, soundtracks, and complex musical compositions from natural-language prompts, structured composition plans, and audio references. It improves on Music v1 with stronger prompt understanding and adherence, more natural multilingual vocals, improved instrumentation and arrangement, and support for complex vocal delivery such as fast rap and dense lyrical patterns. Music v2 supports long-form section-by-section composition, mid-track genre transitions, Audio Reference for matching the style and feel of an uploaded track, music inpainting, embedded sound effects, generated or user-defined lyrics, and detailed control over musical structure. It is designed for songwriting, background music, film and video soundtracks, advertising, games, podcasts, social content, and professional music-production workflows.

ElevenLabs: Music v2.5

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Eleven Music v2.5 is ElevenLabs' most advanced music generation model, designed for creating studio-grade songs, instrumentals, soundtracks, and complex musical compositions from natural-language prompts, structured composition plans, and audio references. It builds on Music v2 with improved audio quality, stronger prompt adherence, richer melodies, deeper arrangements, more realistic instrumentation, and better coherence across complete tracks. The model supports multilingual vocals, generated or user-provided lyrics, complex vocal performances, Audio Reference for guiding style and production characteristics, section-by-section composition, music inpainting, and detailed control over genre, mood, instrumentation, structure, and arrangement. It is designed for songwriting, film and video soundtracks, advertising, games, podcasts, social media, background music, and professional music-production workflows.

Google: Lyria 3

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Lyria 3 Clip is Google's music generation model optimized for creating short, high-quality musical clips, loops, previews, and soundtrack concepts. It generates 30-second stereo music from text prompts or image inputs and supports instrumental music, vocal generation, generated or user-provided lyrics, and detailed musical controls such as BPM and intensity. The model is designed for rapid music ideation and short-form creative workflows, producing MP3 audio together with lyrics and song-structure information. Lyria 3 uses a latent diffusion architecture operating over temporal audio latents and includes audio watermarking and content-safety filtering for generated music.

Google: Lyria 3.5

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Lyria 3.5 is Google's advanced music generation model designed for creating high-quality, full-length songs from text prompts and image inputs. It produces structurally coherent music with multiple verses, choruses, bridges, vocals, lyrics, and complete instrumental arrangements, with controllable track duration up to approximately three minutes. The model supports detailed creative direction over genre, instrumentation, tempo, dynamics, vocal style, acoustic characteristics, and song structure, while also allowing users to provide their own lyrics or request instrumental-only music. Lyria 3.5 generates professional-grade 44.1 kHz stereo audio and is designed for songwriting, soundtrack creation, advertising, content production, music prototyping, and other professional creative workflows.

XAI: Grok Imagine Video 1.5

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Grok Imagine Video 1.5 is xAI's advanced video model built on the Aurora-2 engine. Its standout feature is native one-pass audio generation, which produces synchronized dialogue (lip-sync), sound effects, and background music simultaneously with the video. Supporting resolutions up to 1080p and durations up to 15 seconds, it allows for complex workflows including text-to-video, image-to-video, video extension, and multi-image reference guidance to maintain consistent styles and characters.