Overview
Muse Spark 1.1 is a multimodal reasoning model from Meta, built for agentic tasks. It accepts text, images, video, audio, and PDF documents and returns text, with a 1M-token context...
Our take
Among the current crop of multimodal AI models, Meta: Muse Spark 1.1 distinguishes itself by its focus on agentic tasks. Unlike alternatives such as Google's Gemini series or Xiaomi's MiMo-V2.5, which are primarily listed as AI video tools, Muse Spark 1.1 integrates a substantial 1,048,576-token context window and explicit reasoning capabilities. This makes it particularly suited for complex analytical tasks, such as synthesising findings from a large PDF document alongside visual data to inform a research report. Its support for tool and function calling, coupled with structured JSON outputs, positions it for developers building automated workflows where precise data extraction and external system interaction are paramount. Ideal for those who need to process varied inputs and generate structured responses for agent-style applications. However, with no free tier, those with limited budgets or simple text generation needs might find its token-based billing less appealing.
How Meta: Muse Spark 1.1 stacks up
Among the 63 video & audio tools in our directory, it ranks #1 of 45 on quality (9.2/10), 7% above the 45-tool average of 8.6, and its $1.25/1M input-token rate is in the premium end — 105% pricier than the 28-model average of $0.61/1M.
Weighing quality against cost, Meta: Muse Spark 1.1's cost-per-quality-point of $0.14 places it at #17 of 23 for value among video & audio tools.
Meta: Muse Spark 1.1 in depth
Meta: Muse Spark 1.1, built by Meta, sits in the video & audio and chatbots & llms space and is a paid tool starting at $1.25/1M tokens. Our editors rate it 9.2 out of 10 based on capability, ecosystem and value. It handles a context window of 1,048,576 tokens.
On the feature side, Meta: Muse Spark 1.1 brings 1,048,576-token context window, vision (image input), reasoning / chain-of-thought and tool / function calling. These are the capabilities that most shape day-to-day use and separate it from thinner alternatives.
Its biggest strength is large 1,048,576-token context window, bigger than most models listed here, while the main trade-off to weigh is that no free tier — usage is billed per token. Keep both in mind when deciding whether it fits your workflow.
Meta: Muse Spark 1.1 is most often chosen for content creation, research and writing. If that matches your goals, it's a strong candidate to shortlist.
Key features
- ✓1,048,576-token context window
- ✓Vision (image input)
- ✓Reasoning / chain-of-thought
- ✓Tool / function calling
- ✓Structured (JSON) outputs
Pricing
Pros
- +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
Who should use Meta: Muse Spark 1.1
- →Anyone looking for a video & audio and chatbots & llms tool from Meta.
- →Teams and individuals focused on content creation, research and writing.
- →People who value large 1,048,576-token context window, bigger than most models listed here.
- →Workflows that need a 1,048,576 tokens context window.
Who should look elsewhere
- →Anyone who needs a free tier — this tool is paid only.
- →Those for whom no free tier — usage is billed per token is a dealbreaker.
Best for
10 Best Meta: Muse Spark 1.1 Alternatives in 2026
Meta: Muse Spark 1.1 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 Meta: Muse Spark 1.1, ranked and compared.
Meta
Muse Spark 1.2 contributor tier is a reasoning model from Meta designed for developers who want to start building at an…
Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step…
Meta
Muse Spark 1.2 is a reasoning model from Meta, designed for complex agentic tasks.
Thinkingmachines
Inkling Small is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 12B active…
Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development.
Anthropic
Claude is Anthropic's family of AI assistants, known for long-context reasoning, careful writing and strong coding…
OpenAI
ChatGPT is OpenAI's flagship conversational AI, powering hundreds of millions of weekly users across web, mobile and…
Google DeepMind
Gemini is Google's natively multimodal model family, deeply integrated across Search, Workspace, Android and the Pixel…
Qwen
Qwen3.8 Flash is a multimodal reasoning model from Alibaba. It is suited for coding assistance, agentic workflows…
Z.AI
GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks.
Meta: Muse Spark 1.1 vs top alternatives
A side-by-side look at how Meta: Muse Spark 1.1 stacks up against its closest rivals.
| Feature | Meta: Muse Spark 1.1Meta | Meta: Muse Spark 1.2 ContributorMeta | Google: Gemini 3.7 Flash (batch)Google | Meta: Muse Spark 1.2Meta |
|---|---|---|---|---|
| Quality score | 9.2 / 10 | 9.2 / 10 | 9.2 / 10 | 9.2 / 10 |
| Starting price | $1.25/1M tokens | $0.10/1M tokens | $0.19/1M tokens | $1.25/1M tokens |
| Free tier | No | No | No | No |
| API input price | $1.25 / 1M tokens | $0.1 / 1M tokens | $0.1875 / 1M tokens | $1.25 / 1M tokens |
| API output price | $4.25 / 1M tokens | $0.2 / 1M tokens | $0.9375 / 1M tokens | $4.25 / 1M tokens |
| Speed | — | — | — | — |
| Context window | 1,048,576 tokens | 1,048,576 tokens | 1,048,576 tokens | 1,048,576 tokens |
| Categories | Video & Audio, Chatbots & LLMs | Video & Audio, Chatbots & LLMs | Video & Audio, Chatbots & LLMs | Video & Audio, Chatbots & LLMs |
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Frequently asked questions
Q. Is Meta: Muse Spark 1.1 free?
No — Meta: Muse Spark 1.1 is a paid tool, starting at $1.25/1M tokens.
Q. How much does Meta: Muse Spark 1.1 cost?
Meta: Muse Spark 1.1 starts at $1.25/1M tokens. API usage is around $1.25 per 1M input tokens and $4.25 per 1M output tokens.
Q. What is Meta: Muse Spark 1.1 best for?
Meta: Muse Spark 1.1 is best suited to content creation, research and writing, within the video & audio and chatbots & llms category.
Q. What are the best Meta: Muse Spark 1.1 alternatives?
Popular alternatives to Meta: Muse Spark 1.1 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 Meta: Muse Spark 1.1?
Yes. Thinking Machines: Inkling Small (free), Claude, ChatGPT offer a free tier, making them good starting points if you want to avoid an upfront subscription.
Q. Why switch from Meta: Muse Spark 1.1?
Common reasons include pricing, specific feature gaps (No free tier — usage is billed per token), 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.
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