GigaAM-Multilingual is not among the candidate sources, so no page confirms it directly. The closest matches are multilingual speech tools: Replicate hosts a Meta Omnilingual ASR 7B model for speech recognition across 1,693 languages 27, and ElevenLabs offers speech-to-text and text-to-speech across 90+ languages 16. Choosing among them depends on whether you need recognition or synthesis, and on your hosting constraints.
A question back: Do you need speech recognition (audio to text) or speech synthesis, and must the model run on your own hardware or can it be hosted in the cloud?
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ElevenLabselevenlabs.iofound in code, not yet checked
Provides speech-to-text and text-to-speech over secure APIs and SDKs, with an MCP server, for voices in 90+ languages 16.
official:MCP server · ElevenLabs+58 community tools built for it
for agents: speech_to_text · speech_to_speech · text-to-speech
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Sources
- 1Free AI Voice Generator & Voice Agents Platform | ElevenLabselevenlabs.io · read 2026-10-29
- 2Replicate - Run AI with an APIreplicate.com · read 2026-10-29
- 4LocalAI · Make AI run on every machinelocalai.io · read 2026-10-29
- 6ElevenLabs MCP Server: declares "speech_to_text" (the record we read)github.com · read 2026-10-24
- 7subformer/meta-omnilingual-asr-7b: declares "subformer/meta-omnilingual-asr-7b" (the record we read and signed)unfragile.ai · read 2026-10-24
- 9LocalAI (Activepieces): declares "transcribe_audio" (the record we read and signed)unfragile.ai · read 2026-10-24
For agents: the 10 actions behind this answer
speech_to_text · ElevenLabs MCP Server found in code, not yet checked
subformer/meta-omnilingual-asr-7b · subformer/meta-omnilingual-asr-7b verified and signed
Omnilingual ASR 7B by Meta (Unofficial) - Automatic speech recognition supporting 1,693 languages with best-in-class accuracy. Meta's recommended variant for mission-critical transcription requiring maximum quality.
ibm-granite/granite-speech-4.1-2b · ibm-granite/granite-speech-4.1-2b verified and signed
Granite Speech 4.1 2B is a compact and efficient speech-language model, specifically designed for multilingual automatic speech recognition (ASR) and bidirectional automatic speech translation (AST) for English, French, German, Spanish, Portuguese and Jap
· SGLang website read, tools not yet checked
SGLang powers fast, scalable inference for large language and multimodal models. Open-source serving framework with state-of-the-art performance.
ibm-granite/granite-speech-3.3-8b · ibm-granite/granite-speech-3.3-8b verified and signed
Granite-speech-3.3-8b is a compact and efficient speech-language model, specifically designed for automatic speech recognition (ASR) and automatic speech translation (AST).
beautyyuyanli/multilingual-e5-large · beautyyuyanli/multilingual-e5-large verified and signed
multilingual-e5-large: A multi-language text embedding model
transcribe_audio · LocalAI (Activepieces) verified and signed
Transcribe Audio — Turn speech in an audio file into text.
nvidia/canary-qwen-2.5b · nvidia/canary-qwen-2.5b verified and signed
🎤The best open-source speech-to-text model as of Jul 2025, transcribing audio with record 5.63% WER and enabling AI tasks like summarization directly from speech✨
openai/gpt-4o-transcribe · openai/gpt-4o-transcribe verified and signed
A speech-to-text model that uses GPT-4o to transcribe audio
minimax/speech-2.6-hd · minimax/speech-2.6-hd verified and signed
MiniMax Speech 2.6 HD delivers studio-quality multilingual text-to-audio on Replicate with nuanced prosody, subtitle export, and premium voices
Labels are the instruments' verdict and are never changed by ranking. Agents and robots get this same answer as JSON at /api/v1/find?q=…&answer=1 and through the MCP server.