Muse Spark 1.1 vs. Parallel Decisions API Comparison


Muse Spark 1.1 Meta	Parallel Decisions API Parallel	+	+
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This closes off a common attack route, since permanent local admin rights are what an attacker inherits when malware executes or a credential is stolen. Removing admin rights does not push users back into support queues. When someone needs a longer stretch of elevated work, they run an Admin Session that expires on its own. When they need only one program elevated, Run As Admin handles that alone and leaves the rest of the system unprivileged. Requests can be approved through the portal, the mobile app, or the API. Files receive an OPSWAT MetaDefender reputation check before elevation, and software that has already been vetted can clear automatically through pre-approval or the AI and Machine Learning approval engine. A single agent supports Windows, macOS, and Linux and behaves the same whether the endpoint is online or offline. 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About Muse Spark 1.1 is a multimodal reasoning model from Meta Superintelligence Labs built for agentic tasks, coding, computer use, tool use, and multimodal understanding. The model improves on the original Muse Spark with stronger performance in planning, orchestration, long-context work, coding workflows, and external app interactions. Muse Spark 1.1 can manage a 1 million token context window, remember earlier actions, retrieve important information, compact context, and delegate tasks across parallel subagents. It is designed to operate across tools, MCP servers, custom skills, browsers, native apps, scripts, images, video, PDFs, and audio-based workflows. Developers can access Muse Spark 1.1 through the new Meta Model API public preview, while users can try it in Thinking mode in the Meta AI app and on meta.ai.	About Parallel Decisions API is a hosted, web-grounded classification API for developers building software, data-enrichment pipelines, and AI-agent workflows. A request supplies context and one or more bounded questions; the API returns typed answers with probabilities and citations to supporting web sources. Multiple questions can share context in a single request, supporting uses such as company or vendor qualification, lead routing, compliance screening, content filtering, and agent guardrails. By retrieving current web evidence, it can assess facts that may have changed since a model's training data. Developers call the REST endpoint with an API key or access the web_decisions tool through Parallel's MCP server. A hosted playground and documentation support testing and implementation.
Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Muse Spark 1.1 is best suited for developers, AI engineers, enterprises, agent builders, coding tool teams, research teams, and productivity-focused users that need a multimodal reasoning model for agentic workflows, coding, computer use, long-context tasks, tool orchestration, and advanced automation	Audience Software developers and teams building web-research workflows, data-enrichment pipelines, and AI-agent applications.
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Not Supported
API Offers API Supported	API Offers API Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing $1.25 per 1M tokens (input) $1.25 per million tokens in input, and $4.25 per million tokens of output Free Version Not Supported Free Trial Supported	Pricing $0.001/request $0.001 per API request; a request can include up to 100 questions. Free Version Supported Free Trial Not Supported
Reviews/Ratings Overall 5.0 / 5 ease 5.0 / 5 features 4.0 / 5 design 5.0 / 5 support 5.0 / 5 Read all reviews	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
Pros & Cons from Real Users Pros Muse Spark 1.1 has been awesome for the way I actually build with AI: agents, coding workflows, tool calls, debugging loops, and messy real-world tasks that do not fit neatly into a single prompt. It feels much stronger than the first version when I need it to reason through code, work across multiple steps, understand context, and keep an agent moving without constantly falling apart. The multimodal side is also a big plus because being able to work with docs, screenshots, images, and other inputs makes it way more useful for building practical AI products. Cons It is still early, so I would not call it perfect yet. Like any advanced model, you still need good scaffolding, evals, guardrails, and monitoring if you are putting it into production agent workflows. I also want to see the API ecosystem, docs, examples, and integration patterns mature more, because those things matter a lot when you are building real agentic systems instead of just testing prompts.
Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information Meta Founded: 2004 United States meta.ai	Company Information Parallel Founded: 2023 United States platform.parallel.ai/play/decisions
Alternatives GPT-5.6 Sol OpenAI	Alternatives Clef-flash Cloudflare
Grok 4.6 SpaceXSI	Clef Cloudflare
Claude Opus 5 Anthropic	DeepSeek-V4-Flash DeepSeek
Muse Spark 1.2 Meta	SubQ Snap 1.1 Subquadratic
Muse Spark Meta View All	Strands Decider Strands Labs View All
Categories AI Coding Models Supported AI Models Supported AI Reasoning Models Supported Foundation Models Supported Large Language Models Supported Multimodal Models Supported	Categories AI Decision Models Supported

Integrations Claude Code Supported Model Context Protocol (MCP) Supported .NET Supported CSS Supported Codex CLI Supported Facebook Supported Hermes Agent Supported Instagram Supported Java Supported Kubernetes Supported LangChain Supported Lua Supported Muse Code Supported Muse Image Supported OpenAI Codex Supported OpenCode Supported Rust Supported SQL Supported Scala Supported Swift Supported Show More Integrations View All 53 Integrations	Integrations Claude Code Supported Model Context Protocol (MCP) Supported .NET Not Supported CSS Not Supported Codex CLI Not Supported Facebook Not Supported Hermes Agent Not Supported Instagram Not Supported Java Not Supported Kubernetes Not Supported LangChain Not Supported Lua Not Supported Muse Code Not Supported Muse Image Not Supported OpenAI Codex Not Supported OpenCode Not Supported Rust Not Supported SQL Not Supported Scala Not Supported Swift Not Supported Show More Integrations View All 3 Integrations
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