Kimi-Audio is an open-source audio foundation model that handles speech recognition, audio question answering, audio captioning and audio dialogue. It was pre-trained on more than 13 million hours of audio and text data, and it accepts text and audio input together. Researchers, audio engineers and developers are its intended users. Code, model checkpoints and an evaluation toolkit are published at github.com/MoonshotAI/Kimi-Audio.

How much does Kimi-Audio cost in 2026?

No price for Kimi-Audio is publicly available, because it is released as an open-source model with code and checkpoints on GitHub. The plans on the linked pricing page belong to GitHub accounts, not to Kimi-Audio. Your real cost is the hardware to run it, which this listing does not specify. License terms for commercial use are not verified here and may have changed.

Kimi-Audio has a free tier based on publicly available information in the grounded product data. Buyers should still verify the current limits, upload allowances, export options, and any watermark or usage restrictions on the official site because free-plan packaging may have changed since the last product update.

Kimi-Audio vs alternatives in this category: what is the difference?

Its main difference is breadth in one model. Kimi-Audio combines speech recognition, audio question answering, captioning and audio dialogue, and it takes text and audio input together through a hybrid audio input and LLM core. Based on publicly available information, it was pre-trained on more than 13 million hours of data and uses a block-wise streaming decoder for low-latency generation. Many speech tools cover only transcription.

What are the best alternatives to Kimi-Audio?

Good alternatives depend on your task. For transcription only, a dedicated open-source speech recognition model may be lighter to run. For spoken assistants, consider other audio-language models that accept speech input and produce replies. This listing names no specific competitors, so compare candidates on supported languages, hardware needs, license terms and benchmark results, based on publicly available information.

Is Kimi-Audio safe for general business use?

Business use is possible, since the description says its open-source nature suits research and commercial applications. License conditions, supported languages and data handling are not verified in this listing, so read the repository license and test accuracy on your own audio first. Because you run it on your own hardware, recordings need not leave your systems, which helps with privacy reviews.

Does Kimi-Audio have an API?

Not verified: API availability is not publicly verified for Kimi-Audio. Buyers should not assume a usable public API exists until the vendor publishes developer documentation or confirms access directly. Before planning an integration, verify endpoints, authentication, rate limits, pricing, support terms, and whether API access is generally available or limited to partners.

How does Kimi-Audio work?

A hybrid architecture feeds audio input into an LLM core, so the model can process text and audio together. It was pre-trained on more than 13 million hours of diverse audio and text data. For output, a block-wise streaming decoder based on stream matching supports low-latency audio generation. You download the code and checkpoints from GitHub and adjust audio and text generation parameters as needed.

What does Kimi-Audio do?

It processes audio for tasks such as speech recognition, audio question answering, audio caption generation and audio dialogue. Listed uses include improving a voice assistant's understanding of spoken commands, transcribing podcasts and videos for subtitles and recognizing emotion in speech. The project also ships an evaluation toolkit, and its description reports top results on multiple audio benchmark tests.

Does Kimi-Audio train on user data?

Whether Kimi-Audio trains on user data is not publicly available in this listing, and no data training policy is stated. As an open-source model you run on your own hardware, your audio would normally stay on your systems unless you send it elsewhere. That is based on publicly available information, so check the repository and any hosted demo terms before processing sensitive recordings.

Kimi-Audio

Kimi-Audio, an open-source audio foundation model excelling in audio understanding, generation, and conversation - MoonshotAI/Kimi-Audio

Researched with AI|Data refreshed 6 hours ago|1 sources|Updated 1 time this year

Data refreshed 6 hours ago1 sources

Voice recognitionModel training and deployment

Kimi-Audio, an open-source audio foundation model excelling in audio understanding, generation, and conversation - MoonshotAI/Kimi-Audio

Researched with AI|Data refreshed 6 hours ago|1 sources|Updated 1 time this year

Data refreshed 6 hours ago1 sources

Voice recognitionModel training and deployment

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Starting price

Free

Best for

Voice recognition

Free trial

✓ Free tier

Monthly traffic

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Social listening

17mentions

First indexed

Oct 29, 2026AIbase

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Kimi-Audio is a practical fit for buyers evaluating Voice recognition, Model training and deployment, and #Open Source tools.

Pricing: free

Product information

What this product does

Kimi-Audio, an open-source audio foundation model excelling in audio understanding, generation, and conversation - MoonshotAI/Kimi-Audio

Sourced from github.com

Works With

Platforms

AI Models

Kimi-Audio-7B
Kimi-Audio-7B-Instruct
Qwen 2.5 7B
Whisper

Company & Maker

Who built Kimi-Audio?

Company: Moonshot AI
Product: Kimi-Audio, an open-source audio foundation model excelling in audio understanding, generation, and conversation - MoonshotAI/Kimi-Audio
Live since: Apr 2025

The maker hasn't published a public statement we can verify yet.

Problem Solved

What problem does Kimi-Audio solve?

Run speech recognition, audio captioning and audio Q&A with one model
Hold end-to-end speech conversations with Kimi-Audio-7B-Instruct
Classify sound events, scenes and speech emotion
Finetune the pretrained Kimi-Audio-7B on your own data
Reproduce benchmark results with the Kimi-Audio-Evalkit toolkit

Researched with AI · Data refreshed 6 hours ago · How we score

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Who should use

Buyer-fit is derived from approved personas and use-case evidence. Search-volume noise stays labeled separately.

Best-fit workflows

Integrate Kimi-Audio into a voice assistant to improve its understanding of user voice commands
Use Kimi-Audio for automatic transcription of audio content to provide subtitles for podcasts and video content
Implement audio-based emotion recognition using Kimi-Audio to enhance user interaction experience

Inferred from public dataView source →

Pricing reality

Last updated Oct 2026

Vendor pricing page

Starting price

Free

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Engagement signals (30d)

Based on 6 linked public signals.

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Traffic & search proof

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Latest traffic snapshot

Monthly visits

645.5M

Avg visit duration

Pages per visit

Bounce rate

Traffic trend

Month-by-month visits from linked public traffic evidence.

3 months

Geography

Top regions

traffic snapshot

Exact monthly traffic is paid-only. Public view keeps percent share only.

4Regions

United States

18.73%

China

11.83%

India

10.32%

2 more regions unlock with the full market map.

Traffic sources

Source mix snapshot

Public view keeps the ratio snapshot. Minor channels stay behind the paid view.

3Sources

Direct

53.31%

Referrals

9.32%

1.22%

FAQ

Only linked Q and A rows are shown. Empty FAQ data stays hidden.

Social mentions

Only linked public mention evidence is shown here.

17 linked

Mentions per month

0 in the last 30 days

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Sources and methodology

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EVIDENCE TRAIL

Social mentionsenrichment:social-mentions75% confidence

FAQ / Q&AMindber Faq Ai

LINKED SOURCES

Aibase

Kimi-Audio

Last seenOct 29, 2026

HOW WE VERIFY

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About this data: Activity signals are aggregated from public sources. Intelligence cards are AI-generated from public sources; only the Fit, Concerns and Who-not-for sections are approved by a Mindber editor before publication. Scores reflect public update frequency only — not product quality, company health, or investment suitability. Data may lag by up to 7 days. Learn more

Mentions per month
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Engagement signals (30d)