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Sammlungen/Text-zu-Sprache

Beste Text-to-Speech-Modelle

Modellranglisten aktualisiert November 2026 auf Basis tatsächlicher Nutzungsdaten.

Modelle werden nach der Gesamtzahl der Prompt- und Completion-Token eingestuft, die in den letzten 7 Tagen über die OpenRouter-API verarbeitet wurden. Die 25 bestplatzierten Modelle werden angezeigt. Ranglisten messen die Nutzung auf OpenRouter und spiegeln die Verbreitung wider, nicht die Modellqualität oder die Leistung in Vergleichstests.

Text-to-Speech-Modelle wandeln geschriebenen Text in gesprochene Audiodaten für Assistenten, Erzählungen, Barrierefreiheitstools, Voiceovers und den Kundensupport um. Diese Sammlung ordnet TTS-Modelle nach ihrer Nutzung auf OpenRouter in der vergangenen Woche. Die aktuellen Spitzenmodelle sind Gemini 3.8 Flash TTS, Gemini 3.8 Flash Lite TTS und Gemini 3.1 Flash TTS Preview. Vergleichen Sie Stimmen, Latenz, Preise und Anbieterfunktionen, um das beste Sprachmodell für Ihr Produkt zu finden.

Alle Modelle durchsuchenModelle vergleichen

Top-Text-to-Speech-Modelle auf OpenRouter

Favicon für google

Google: Gemini 3.8 Flash TTS

728M Token

Gemini 3.8 Flash TTS is a text-to-speech model from Google and the successor to Gemini 3.1 Flash TTS Preview. It is the creative tier of the 3.8 TTS family, suited for narration, character work, and multi-speaker dialogue where voice fidelity, acting nuance, and regional dialect coverage matter more than latency.

It accepts the same speech configuration as its predecessor, including the 30 prebuilt studio voices, and supports Google's Voice Design (custom voices from a text description) and Voice Replication (voices cloned from a short sample) through voice_... identifiers.

von google0,50 $/M Eingabe Token9 $/M Ausgabe Token
Favicon für google

Google: Gemini 3.8 Flash Lite TTS

709M Token

Gemini 3.8 Flash Lite TTS is a text-to-speech model from Google and the fast, high-throughput member of the 3.8 TTS family alongside Gemini 3.8 Flash TTS. It is suited for conversational voice-agent pipelines, high-volume read-aloud, and voice replication workloads where latency and cost matter more than maximum expressiveness.

It accepts the same speech configuration as Gemini 3.1 Flash TTS Preview, including the 30 prebuilt studio voices, and supports Google's Voice Design and Voice Replication through voice_... identifiers.

von google0,50 $/M Eingabe Token6 $/M Ausgabe Token
Favicon für google

Google: Gemini 3.1 Flash TTS Preview

214M Token

Gemini 3.1 Flash TTS Preview is a text-to-speech model from Google, and a substantial generational step up from Gemini 2.5 Flash TTS. It takes text input and produces audio output across 70+ languages — nearly 3× the language coverage of its predecessor.

The headline addition is a system of 200+ inline audio tags (e.g. [whispers], [laughs], [excited]) that let developers steer delivery, emotion, and pacing mid-sentence, alongside a "director's chair" workflow in Google AI Studio for defining per-character Audio Profiles and scene-level context. It supports up to two speakers with independent voice and style configuration per speaker, outputs PCM audio at 24 kHz / 16-bit mono, and automatically watermarks all output with SynthID. Context window is 32k tokens.

von google1 $/M Eingabe Token20 $/M Ausgabe Token
Favicon für fish-audio

Fish Audio: Drama 3

47,7M Token

Drama 3 is a text-to-speech model from Fish Audio built for directed voice performances. You write the direction in plain language in square brackets before a line, such as [nervous, barely holding it together], and can add sounds and pauses inline or change the delivery of specific words with paired tags like <whisper>.

It supports multi-speaker scenes in one request, switching language mid-sentence across 80+ languages in the same voice, and phoneme tags for pinning pronunciation of names and terms.

von fish-audio2 $/M UTF-8 bytes80% off
Favicon für hexgrad

hexgrad: Kokoro 82M

35,8M Token

Kokoro 82M is a lightweight, open-weight text-to-speech model from hexgrad. It converts text to speech across 8 languages (American and British English, Spanish, French, Hindi, Italian, Japanese, Portuguese, and Chinese) using 54 preset voices organized by language and gender. At 82M parameters, it is well-suited for multilingual TTS deployments where footprint and cost efficiency matter.

von hexgrad0,62 $/M characters
Favicon für elevenlabs

ElevenLabs: Eleven v4 Turbo

26M Token

Eleven v4 Turbo is a low-latency text-to-speech model from ElevenLabs. It keeps Eleven v4's expressive delivery and audio tags while being tuned for faster generation, with support for 90+ languages and a 10,000-character request limit.

von elevenlabs40 $/M characters
Favicon für x-ai

SpaceXAI: Grok Voice TTS 1.0

25,1M Token

Grok Voice TTS 1.0 is a text-to-speech model from SpaceXAI. It converts text into spoken audio across 20+ languages with automatic language detection, and offers five built-in voices (Eve, Ara, Rex, Sal, Leo) covering a range of tones. Inline speech tags allow control over pauses, emphasis, pitch, speed, and vocal style. Output is available in MP3, WAV, PCM, μ-law, and A-law formats at sample rates from 8 kHz to 48 kHz, with up to 15,000 characters per request.

von x-ai15 $/M characters
Favicon für elevenlabs

ElevenLabs: Eleven v4

15,4M Token

Eleven v4 is a text-to-speech model from ElevenLabs. It is ElevenLabs' most expressive model, with inline audio tags for emotional and delivery control, support for 90+ languages, and a 10,000-character request limit.

von elevenlabs80 $/M characters
Favicon für heygen

HeyGen: HeyGen Voice Turbo (free)

14,8M Token

HeyGen Voice Turbo is a lower-latency version of HeyGen Voice, HeyGen's text-to-speech model. It has the same 10 default voices, or bring your own HeyGen key to use voice clones from your own account. It streams 44.1 kHz mono PCM audio, with support for 39 languages and up to 5,000 characters per request.

von heygen0 $/M Eingabe Token0 $/M Ausgabe Token
Favicon für fish-audio

Fish Audio: S2.1 Pro Free (free)

14,7M Token

S2.1 Pro Free is the no-cost variant of Fish Audio S2.1 Pro, intended for testing, prototyping, and low-volume applications. It provides the same synthesis capabilities without production latency or availability guarantees.

von fish-audio0 $/M Eingabe Token0 $/M Ausgabe Token
Favicon für fish-audio

Fish Audio: S2.1 Pro

10,6M Token

S2.1 Pro is a production-oriented text-to-speech model from Fish Audio. It is suited for multilingual voice applications, expressive narration, and dialogue synthesis, with open-ended natural-language controls for speaking style and emotion.

von fish-audio15 $/M UTF-8 bytes
Favicon für heygen

HeyGen: HeyGen Voice Turbo

4,42M Token

HeyGen Voice Turbo is a lower-latency version of HeyGen Voice, HeyGen's text-to-speech model. It has the same 10 default voices, or bring your own HeyGen key to use voice clones from your own account. It streams 44.1 kHz mono PCM audio, with support for 39 languages and up to 5,000 characters per request.

von heygen4 $/M characters50% off
Favicon für microsoft

Microsoft AI: MAI-Voice-2

3,9M Token

MAI-Voice-2 is an expressive text-to-speech model from Microsoft AI. It is suited for conversational assistants, media narration, accessibility, education, and other long-form voice applications. It supports 15 languages across 18 locales, fine-grained control of tone and delivery, multi-speaker generation, and voice prompting from short audio clips without fine-tuning. The model prioritizes naturalness and expressivity over latency-critical generation.

von microsoft22 $/M characters
Favicon für elevenlabs

ElevenLabs: Eleven v3

3,43M Token

Eleven v3 is a text-to-speech model from ElevenLabs. It produces emotionally rich, highly expressive speech with inline audio tags, supports 70+ languages, and has a 5,000-character request limit.

von elevenlabs80 $/M characters
Favicon für elevenlabs

ElevenLabs: Eleven Flash v2.5

3,33M Token

Eleven Flash v2.5 is an ultra-low-latency text-to-speech model from ElevenLabs. It is suited for conversational and real-time use cases, supports 32 languages, and has a 40,000-character request limit.

von elevenlabs40 $/M characters
Favicon für mistralai

Mistral: Voxtral TTS 3

2,84M Token

Voxtral TTS 3 is Mistral's text-to-speech model. It converts text into natural-sounding speech, offers a library of preset voices, supports zero-shot voice cloning, and accepts emotion and pace tags in the input to control delivery. It streams audio with low time-to-first-audio and suits voice agents, narration, and multilingual assistants.

von mistralai13 $/M characters
Favicon für microsoft

Microsoft AI: MAI-Voice-2.1-Flash

2,42M Token

MAI-Voice-2.1-Flash is a low-latency text-to-speech model from Microsoft AI, optimized for real-time responsiveness. It produces natural, expressive speech across 23 languages, with human-like intonation, rhythm, and emotional nuance. It is suited for voice agents, assistants, call centers, and other interactive applications where latency and cost matter most.

On OpenRouter, set voice to a full voice ID with the model suffix, such as "en-US-Harper:MAI-Voice-2.1-Flash". A voice's locale sets the synthesis language. Set response_format to "mp3" or "pcm" (24 kHz mono). Harper and Grant support the agent, customer-call-center, educational, and narrator speaking styles, and many locale voices add emotion styles such as excited, happy, sad, and whispering. The full list of voices is in the supported_voices field of the models API. See the text-to-speech guide.

von microsoft15 $/M characters
Favicon für microsoft

Microsoft AI: MAI-Voice-2.1

2,38M Token

MAI-Voice-2.1 is Microsoft AI's highest-fidelity, most expressive text-to-speech model. It produces natural, studio-grade speech across 23 languages, with detailed prosody, nuanced expressiveness, and speaker consistency over long-form content. It is suited for audiobooks, podcasts, lectures, narration, and brand audio where maximum voice quality matters. The model prioritizes naturalness and expressivity over latency-critical generation.

On OpenRouter, set voice to a full voice ID with the model suffix, such as "en-US-Harper:MAI-Voice-2.1". A voice's locale sets the synthesis language. Set response_format to "mp3" or "pcm" (24 kHz mono). Harper and Grant support the agent, customer-call-center, educational, and narrator speaking styles, and many locale voices add emotion styles such as excited, happy, sad, and whispering. The full list of voices is in the supported_voices field of the models API. See the text-to-speech guide.

von microsoft22 $/M characters
Favicon für elevenlabs

ElevenLabs: Eleven Multilingual v2

2,2M Token

Eleven Multilingual v2 is a text-to-speech model from ElevenLabs. It is suited for lifelike, consistent long-form narration such as voice-overs and audiobooks, supports 29 languages, and has a 10,000-character request limit.

von elevenlabs80 $/M characters
Favicon für qwen

Qwen: Qwen-Audio-3.0-TTS Plus

1,78M Token

Qwen-Audio-3.0-TTS Plus is Alibaba's higher-quality text-to-speech model, generating spoken audio from text via the DashScope Speech Synthesizer API.

von qwen20 $/M characters
Favicon für bytedance-seed

ByteDance Seed: Seed Audio 1.0

1,69M Token

Seed Audio 1.0 is ByteDance Seed's non-streaming audio generation model. It produces speech and other audio from a natural-language text prompt that can describe the desired voice, tone, and sound effects, optionally guided by a Seed speaker ID or a reference audio clip for voice cloning. Output is limited to 120 seconds per request and is billed per second of generated audio. Suited to audiobooks, voiceovers, games, and similar workloads.

von bytedance-seed0,15 $/minute
Favicon für qwen

Qwen: Qwen-Audio-3.0-TTS Flash

1,65M Token

Qwen-Audio-3.0-TTS Flash is Alibaba's fast, cost-efficient text-to-speech model, generating spoken audio from text via the DashScope Speech Synthesizer API.

von qwen15 $/M characters
Favicon für elevenlabs

ElevenLabs: Eleven v3 Conversational

927K Token

Eleven v3 Conversational is a text-to-speech model from ElevenLabs, a variant of Eleven v3 optimized for natural dialogue in conversational agents. It supports 70+ languages and has a 5,000-character request limit.

von elevenlabs40 $/M characters
Favicon für deepgram

Deepgram: Aura-2

874K Token

Aura-2 is a multilingual text-to-speech model from Deepgram. It supports Deepgram’s canonical Aura-2 voice catalog for speech synthesis across multiple languages.

von deepgram30 $/M characters
Favicon für mistralai

Mistral: Voxtral Mini TTS

799K Token

Voxtral Mini TTS is Mistral's text-to-speech model featuring zero-shot voice cloning and multilingual support. It converts text input into natural-sounding audio output.

von mistralai16 $/M characters

Häufig gestellte Fragen

Senden Sie Text an POST /api/v1/audio/speech mit einem Modell-Slug für Text-to-Speech von dieser Seite und einem response_format von mp3 oder pcm. Die meisten Modelle benötigen außerdem eine voice; für das Klonen einer Stimme senden Sie stattdessen eine Referenzaufnahme in input_references, und einige Modelle lehnen eine zusätzlich angegebene voice ab. Die Antwort ist die Audiodatei selbst. Jedes TTS-Modell auf OpenRouter verwendet diesen Endpunkt, sodass Sie den Anbieter wechseln können, indem Sie den Modell-Slug, die Stimme und, falls erforderlich, das Ausgabeformat ändern: Einige Modelle geben nur pcm und andere nur mp3 zurück. Der Text-to-Speech-Leitfaden listet die unterstützten Formate und sämtliche Anfrageparameter auf.

Jeder Eintrag auf dieser Seite zeigt seinen Preis. Je nach Modell wird Sprache pro Million Zeichen des Eingabetexts, pro Million Eingabe- und Ausgabe-Token oder pro Sekunde generierter Audiodaten abgerechnet, vergleichen Sie daher vor Ihrer Auswahl die Preise in derselben Einheit. Sie zahlen nur für die Anfragen, die Sie stellen, ohne separates Abonnement pro Anbieter.

Jedes Sprachmodell gibt seine Stimmenliste im Feld supported_voices der Modell-API zurück. Die Stimmennamen sind anbieterspezifisch, wählen Sie daher eine Stimme des Modells, das Sie aufrufen.

Ja. Ein OpenRouter-API-Schlüssel funktioniert für jedes TTS-Modell auf dieser Seite und für jedes andere Modell auf OpenRouter. Erstellen Sie einen Schlüssel auf Ihrer API-Schlüssel-Seite.

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