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Mu

MusicLM

by Github

Visit MusicLMPaidSee site

Overview

A model by Google Research for generating high-fidelity music from text descriptions.

MusicLM in depth

MusicLM, built by Github, sits in the video & audio space and is a paid tool starting at See site.

MusicLM is most often chosen for content creation. If that matches your goals, it's a strong candidate to shortlist.

Speed
Context window
Free tier
No
Updated
2026-07-01

Key features

    Pricing

    See site
    See official site
    PaidSee site
    See full API pricing → llmprice.app

    Pros

      Cons

        Who should use MusicLM

        • Anyone looking for a video & audio tool from Github.
        • Teams and individuals focused on content creation.

        Who should look elsewhere

        • Anyone who needs a free tier — this tool is paid only.

        Best for

        10 Best MusicLM Alternatives in 2026

        MusicLM is a strong video & audio tool, but it is not the only option. Whether you are after a lower price, different features or a better fit for your workflow, here are the 10 best alternatives to MusicLM, ranked and compared.

        1

        Meta

        Muse Spark 1.2 contributor tier is a reasoning model from Meta designed for developers who want to start building at an…

        + Low API price — $0.1 per 1M input tokens, cheaper than roughly 75% of comparable models+ Large 1,048,576-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems
        Read full Meta: Muse Spark 1.2 Contributor review →
        2

        Google

        Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step…

        + Large 1,048,576-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
        Read full Google: Gemini 3.7 Flash (batch) review →
        3
        Meta: Muse Spark 1.2Paid$1.25/1M tokens

        Meta

        Muse Spark 1.2 is a reasoning model from Meta, designed for complex agentic tasks.

        + Large 1,048,576-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
        Read full Meta: Muse Spark 1.2 review →
        4

        Thinkingmachines

        Inkling Small is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 12B active…

        + Completely free to use via the OpenRouter API+ Large 1,048,576-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems
        Read full Thinking Machines: Inkling Small (free) review →
        5

        Google

        Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development.

        + Large 1,048,576-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
        Read full Google: Gemini 3.6 Flash (batch) review →
        6

        Google

        Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities.

        + Low API price — $0.15 per 1M input tokens, cheaper than roughly 75% of comparable models+ Large 1,048,576-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems
        Read full Google: Gemini 3.5 Flash Lite (batch) review →
        7

        Thinkingmachines

        Inkling is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 41B active parameters…

        + Completely free to use via the OpenRouter API+ Large 1,048,576-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems
        Read full Thinking Machines: Inkling (free) review →
        8
        Meta: Muse Spark 1.1Paid$1.25/1M tokens

        Meta

        Muse Spark 1.1 is a multimodal reasoning model from Meta, built for agentic tasks.

        + Large 1,048,576-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
        Read full Meta: Muse Spark 1.1 review →
        9

        Google

        Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at…

        + Large 1,048,576-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
        Read full Google: Gemini 3.5 Flash (batch) review →
        10

        Google

        Gemini 3.1 Flash Lite is Google’s GA high-efficiency multimodal model optimized for low-latency, high-volume workloads.

        + Low API price — $0.125 per 1M input tokens, cheaper than roughly 75% of comparable models+ Large 1,048,576-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems
        Read full Google: Gemini 3.1 Flash Lite (batch) review →

        MusicLM vs top alternatives

        A side-by-side look at how MusicLM stacks up against its closest rivals.

        FeatureMusicLMGithubMeta: Muse Spark 1.2 ContributorMetaGoogle: Gemini 3.7 Flash (batch)GoogleMeta: Muse Spark 1.2Meta
        Quality score / 109.2 / 109.2 / 109.2 / 10
        Starting priceSee site$0.10/1M tokens$0.19/1M tokens$1.25/1M tokens
        Free tierNoNoNoNo
        API input price$0.1 / 1M tokens$0.1875 / 1M tokens$1.25 / 1M tokens
        API output price$0.2 / 1M tokens$0.9375 / 1M tokens$4.25 / 1M tokens
        Speed
        Context window1,048,576 tokens1,048,576 tokens1,048,576 tokens
        CategoriesVideo & AudioVideo & Audio, Chatbots & LLMsVideo & Audio, Chatbots & LLMsVideo & Audio, Chatbots & LLMs
        Key features
          • 1,048,576-token context window
          • Vision (image input)
          • Reasoning / chain-of-thought
          • Tool / function calling
          • 1,048,576-token context window
          • Vision (image input)
          • Reasoning / chain-of-thought
          • Tool / function calling
          • 1,048,576-token context window
          • Vision (image input)
          • Reasoning / chain-of-thought
          • Tool / function calling
          Pros
            • + Low API price — $0.1 per 1M input tokens, cheaper than roughly 75% of comparable models
            • + Large 1,048,576-token context window, bigger than most models listed here
            • + Built-in reasoning (chain-of-thought) mode for harder problems
            • + Accepts images as input (vision-capable)
            • + Large 1,048,576-token context window, bigger than most models listed here
            • + Built-in reasoning (chain-of-thought) mode for harder problems
            • + Accepts images as input (vision-capable)
            • + Supports tool / function calling for agent-style workflows
            • + Large 1,048,576-token context window, bigger than most models listed here
            • + Built-in reasoning (chain-of-thought) mode for harder problems
            • + Accepts images as input (vision-capable)
            • + Supports tool / function calling for agent-style workflows
            Cons
              • No free tier — usage is billed per token
              • No free tier — usage is billed per token
              • Above-average API pricing ($1.25 per 1M input tokens)

              Frequently asked questions

              Q. Is MusicLM free?

              No — MusicLM is a paid tool, starting at See site.

              Q. How much does MusicLM cost?

              MusicLM starts at See site. Pricing and features change often, so confirm current rates on the official site.

              Q. What is MusicLM best for?

              MusicLM is best suited to content creation, within the video & audio category.

              Q. What are the best MusicLM alternatives?

              Popular alternatives to MusicLM include Meta: Muse Spark 1.2 Contributor, Google: Gemini 3.7 Flash (batch), Meta: Muse Spark 1.2 and Thinking Machines: Inkling Small (free). Each trades off price, quality and ecosystem differently.

              Q. Is there a free alternative to MusicLM?

              Yes. Thinking Machines: Inkling Small (free), Thinking Machines: Inkling (free) offer a free tier, making them good starting points if you want to avoid an upfront subscription.

              Q. Why switch from MusicLM?

              Common reasons include pricing, specific feature gaps, data-privacy requirements, or simply wanting a tool that fits your stack better.

              How we rate AI tools

              Our quality score weighs capability on real tasks, breadth of features and integrations, pricing and value, and how actively the tool is maintained. Scores are editorial guidance, not benchmarks — always trial a tool on your own workflow before committing. Pricing and features change frequently, so verify current details on the official site.

              Ready to try MusicLM?

              Start with the official plans and upgrade as you grow.

              Visit MusicLM