AudioLM

AudioLM

Google
Inkling

Inkling

Thinking Machines Lab
+
+

Related Products

  • LALAL.AI
    5,230 Ratings
    Visit Website
  • Muzaic
    2 Ratings
    Visit Website
  • LM-Kit.NET
    29 Ratings
    Visit Website
  • Adobe Firefly
    25,029 Ratings
    Visit Website
  • Checksum.ai
    1 Rating
    Visit Website
  • 4K Video Downloader
    12,439 Ratings
    Visit Website
  • MEXC
    188,765 Ratings
    Visit Website
  • Imorgon
    5 Ratings
    Visit Website
  • ND Wallet
    14 Ratings
    Visit Website
  • Google AI Studio
    30 Ratings
    Visit Website

About

AudioLM is a pure audio language model that generates high‑fidelity, long‑term coherent speech and piano music by learning from raw audio alone, without requiring any text transcripts or symbolic representations. It represents audio hierarchically using two types of discrete tokens, semantic tokens extracted from a self‑supervised model to capture phonetic or melodic structure and global context, and acoustic tokens from a neural codec to preserve speaker characteristics and fine waveform details, and chains three Transformer stages to predict first semantic tokens for high‑level structure, then coarse and finally fine acoustic tokens for detailed synthesis. The resulting pipeline allows AudioLM to condition on a few seconds of input audio and produce seamless continuations that retain voice identity, prosody, and recording conditions in speech or melody, harmony, and rhythm in music. Human evaluations show that synthetic continuations are nearly indistinguishable from real recordings.

About

Inkling is an open-weights multimodal AI model from Thinking Machines designed as a customizable foundation model for developers, researchers, and enterprises. The model is a Mixture-of-Experts transformer with 975 billion total parameters, 41 billion active parameters, and support for context windows up to 1 million tokens. Inkling was trained from scratch on text, images, audio, and video, giving it native capabilities across reasoning, coding, agentic tool use, vision, audio, factuality, and instruction following. It is built with controllable thinking effort so users can balance performance, latency, and token efficiency for different workloads. The model is available for fine-tuning on Tinker, with playground access, API availability through ecosystem partners, and full weights published on Hugging Face. Built for customization, Inkling gives teams an open-weights base model for building domain-specific AI systems, multimodal agents, coding workflows, research tools, and more.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Audio researchers and developers needing a solution for creating realistic speech and music continuations directly from raw audio

Audience

AI developers, researchers, model fine-tuning teams, enterprise AI groups, agent builders, coding tool makers, multimodal AI teams, infrastructure providers, and organizations that need open-weights models for customization, long-context reasoning, vision, audio, tool use, and specialized AI applications

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Google
United States
research.google/blog/audiolm-a-language-modeling-approach-to-audio-generation/

Company Information

Thinking Machines Lab
Founded: 2025
United States
thinkingmachines.ai/

Alternatives

AudioCraft

AudioCraft

Meta AI

Alternatives

Bonsai 27B

Bonsai 27B

PrismML
Claude Fable 5

Claude Fable 5

Anthropic
Seed-Music

Seed-Music

ByteDance
Claude Opus 4.6

Claude Opus 4.6

Anthropic
Qwen3-TTS

Qwen3-TTS

Alibaba
Qwen3.5

Qwen3.5

Alibaba
Melodea

Melodea

Audoir
Pixtral Large

Pixtral Large

Mistral AI

Categories

Categories

Integrations

Google Opal
Model Context Protocol (MCP)
Tinker

Integrations

Google Opal
Model Context Protocol (MCP)
Tinker
Claim AudioLM and update features and information
Claim AudioLM and update features and information
Claim Inkling and update features and information
Claim Inkling and update features and information