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Meta: Muse Spark Open

by Meta

9.2
Quality score / 10

Overview

Muse Spark Open is a coding-optimized open-weight model. Trained specifically for agentic coding workflows, it delivers higher first-attempt accuracy, reliable tool calling, and deep codebase understanding across the repos developers...

Our take

For developers engaged in agentic coding workflows, Meta: Muse Spark Open provides a coding-optimised open-weight model. Unlike the various AI video tools listed as alternatives, such as Google: Gemini 4 Argon or Meta: Muse Wonder, this offering is positioned specifically for code generation and understanding. Its 1,048,576-token context window is notable for its size, allowing for extensive codebase analysis, and it includes built-in reasoning capabilities for complex problems. The model also supports vision input, enabling it to process images, and features reliable tool/function calling with structured JSON outputs. Ideal for developers who require deep codebase understanding and accurate first-attempt code generation, particularly within agent-style development environments. Those who require a free tier, however, will need to look elsewhere, as usage is billed per token starting at $1.25/1M tokens.

How Meta: Muse Spark Open stacks up

Among the 67 video & audio tools in our directory, it ranks #1 of 49 on quality (9.2/10), 7% above the 49-tool average of 8.6, and its $1.25/1M input-token rate is in the premium end — 32% pricier than the 31-model average of $0.94/1M.

Weighing quality against cost, Meta: Muse Spark Open's cost-per-quality-point of $0.14 places it at #19 of 28 for value among video & audio tools.

Meta: Muse Spark Open in depth

Meta: Muse Spark Open, 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 Open 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 Open is most often chosen for content creation, research and writing. If that matches your goals, it's a strong candidate to shortlist.

Speed
—
Context window
1,048,576 tokens
Free tier
No
Updated
2026-10-26

Key features

  • ✓1,048,576-token context window
  • ✓Vision (image input)
  • ✓Reasoning / chain-of-thought
  • ✓Tool / function calling
  • ✓Structured (JSON) outputs

Pricing

$1.25/1M tokens
Pay per token
Paid$1.25/1M tokens
API input
$1.25 / 1M tokens
API output
$4.25 / 1M tokens
See full API pricing → llmprice.app

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 Open

  • →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 Open Alternatives in 2026

Meta: Muse Spark Open 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 Open, ranked and compared.

1
Google: Gemini 4 ArgonPaid$2.00/1M tokens

Google

Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and…

+ 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 4 Argon review →
2
Meta: Muse WonderPaid$4.00/1M tokens

Meta

Muse Wonder is a frontier reasoning model from Meta, designed for complex personal and professional 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 Wonder review →
3

Xiaomi

MiMo-V2.6-Pro-UltraSpeed is the fast speed edition of Xiaomi's flagship foundation model, MiMo-V2.6-Pro.

+ 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 Xiaomi: MiMo-V2.6-Pro-UltraSpeed review →
4
Xiaomi: MiMo-V2.6-FlashPaid$0.14/1M tokens

Xiaomi

MiMo-V2.6-Flash is an open-source foundation model developed by Xiaomi. Built on a Mixture-of-Experts architecture with…

+ Low API price — $0.14 per 1M input tokens, cheaper than roughly 75% of comparable models+ Large 1,050,000-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems
Read full Xiaomi: MiMo-V2.6-Flash review →
5
Xiaomi: MiMo-V2.6-ProPaid$0.43/1M tokens

Xiaomi

MiMo-V2.6-Pro is the flagship foundation model developed by Xiaomi. Built at a scale of over 1T parameters, it is…

+ Large 1,050,000-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 Xiaomi: MiMo-V2.6-Pro review →
6
ClaudeFree tier$20/mo

Anthropic

Claude is Anthropic's family of AI assistants, known for long-context reasoning, careful writing and strong coding…

+ Best-in-class long-document reasoning+ Natural, high-quality writing+ Strong safety and reliability
Read full Claude review →
7
ChatGPTFree tier$20/mo

OpenAI

ChatGPT is OpenAI's flagship conversational AI, powering hundreds of millions of weekly users across web, mobile and…

+ Most polished and widely supported ecosystem+ Excellent general reasoning and coding+ Huge third-party integration support
Read full ChatGPT review →
8
GeminiFree tier$20/mo

Google DeepMind

Gemini is Google's natively multimodal model family, deeply integrated across Search, Workspace, Android and the Pixel…

+ Massive context window+ Tight integration with Google ecosystem+ Generous free access
Read full Gemini review →
9
MoonshotAI: Kimi K3.1 ProPaid$2.00/1M tokens

Moonshot AI

Kimi K3.1 Pro is Moonshot AI's flagship open-weight multimodal reasoning model and a post-trained successor to Kimi K3…

+ 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 MoonshotAI: Kimi K3.1 Pro review →
10
MiniMax: MiniMax M3.1 FlashPaid$0.15/1M tokens

MiniMax

MiniMax-M3.1-Flash is a multimodal model from MiniMax. Compared with M3, it delivers significant improvements across…

+ 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 MiniMax: MiniMax M3.1 Flash review →

Meta: Muse Spark Open vs top alternatives

A side-by-side look at how Meta: Muse Spark Open stacks up against its closest rivals.

FeatureMeta: Muse Spark OpenMetaGoogle: Gemini 4 ArgonGoogleMeta: Muse WonderMetaXiaomi: MiMo-V2.6-Pro-UltraSpeedXiaomi
Quality score9.2 / 109.2 / 109.2 / 109.2 / 10
Starting price$1.25/1M tokens$2.00/1M tokens$4.00/1M tokens$4.35/1M tokens
Free tierNoNoNoNo
API input price$1.25 / 1M tokens$2 / 1M tokens$4 / 1M tokens$4.35 / 1M tokens
API output price$4.25 / 1M tokens$10 / 1M tokens$20 / 1M tokens$8.7 / 1M tokens
Speed————
Context window1,048,576 tokens1,048,576 tokens1,048,576 tokens1,048,576 tokens
CategoriesVideo & Audio, Chatbots & LLMsVideo & 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
  • 1,048,576-token context window
  • Vision (image input)
  • Reasoning / chain-of-thought
  • Tool / function calling
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
  • + 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
  • + 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
  • − Above-average API pricing ($2 per 1M input tokens)
  • − Above-average API pricing ($4 per 1M input tokens)
  • − Above-average API pricing ($4.35 per 1M input tokens)

Frequently asked questions

Q. Is Meta: Muse Spark Open free?

No — Meta: Muse Spark Open is a paid tool, starting at $1.25/1M tokens.

Q. How much does Meta: Muse Spark Open cost?

Meta: Muse Spark Open 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 Open best for?

Meta: Muse Spark Open 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 Open alternatives?

Popular alternatives to Meta: Muse Spark Open include Google: Gemini 4 Argon, Meta: Muse Wonder, Xiaomi: MiMo-V2.6-Pro-UltraSpeed and Xiaomi: MiMo-V2.6-Flash. Each trades off price, quality and ecosystem differently.

Q. Is there a free alternative to Meta: Muse Spark Open?

Yes. Claude, ChatGPT, Gemini offer a free tier, making them good starting points if you want to avoid an upfront subscription.

Q. Why switch from Meta: Muse Spark Open?

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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