AgenticMarket
MetaProprietary APIReleased: 2026-07-16Muse Spark 1.1
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...
ARCHITECTURE & LIMITS
MetaTOKEN PRICING RATES
SUPPORTED CAPABILITIES
BENCHMARK EVALUATIONS & CODE METRICS
Verified scores from SWE-bench and Artificial Analysis.
Independent coding benchmark evaluating syntax, algorithms, and code completion
Broad multi-domain reasoning, science, and knowledge retrieval
Autonomous multi-step tool use, API calling, and task execution
TOKEN COST CALCULATOR
Estimate production API costs for Muse Spark 1.1.
COMMUNITY ENGINEERING EVALUATIONS
Verified ratings across 4 core software engineering dimensions.
Refactoring accuracy, syntax correctness, and adherence to design patterns.
Zero hallucinations, strict constraint compliance, and negative prompt respect.
Time-to-first-token (TTFT) and throughput tokens per second.
Token pricing economics relative to intelligence quality and output volume.
No text reviews submitted yet. Be the first developer to review Muse Spark 1.1!
RECOMMENDED AGENT SKILLS FOR Muse Spark 1.1
Ad Creative
When the user wants to generate, iterate, or scale ad creative — headlines, descriptions, primary text, or full ad variations — for any paid advertising platform. Also use when the user mentions 'ad copy variations,' 'ad creative,' 'generate headlines,' 'RSA headlines,' 'bulk ad copy,' 'ad iterations,' 'creative testing,' 'ad performance optimization,' 'write me some ads,' 'Facebook ad copy,' 'Google ad headlines,' 'LinkedIn ad text,' or 'I need more ad variations.' Use this whenever someone needs to produce ad copy at scale or iterate on existing ads. For campaign strategy and targeting, see paid-ads. For landing page copy, see copywriting.
Seo Audit
When the user wants to audit, review, or diagnose SEO issues on their site. Also use when the user mentions "SEO audit," "technical SEO," "why am I not ranking," "SEO issues," "on-page SEO," "meta tags review," "SEO health check," "my traffic dropped," "lost rankings," "not showing up in Google," "site isn't ranking," "Google update hit me," "page speed," "core web vitals," "crawl errors," or "indexing issues." Use this even if the user just says something vague like "my SEO is bad" or "help with SEO" — start with an audit. For building pages at scale to target keywords, see programmatic-seo. For adding structured data, see schema-markup. For AI search optimization, see ai-seo.
Ui Ux Pro Max
UI/UX design intelligence. 50 styles, 21 palettes, 50 font pairings, 20 charts, 9 stacks.
FREQUENTLY ASKED QUESTIONS ABOUT Muse Spark 1.1
What are the input and output token prices for Muse Spark 1.1?+
Muse Spark 1.1 costs $1.25 per 1M input tokens and $4.25 per 1M output tokens. Cached input reads cost $0.15 per 1M tokens.
Does Muse Spark 1.1 support tool calling and agent execution?+
Yes, Muse Spark 1.1 natively supports tool calling, parallel function execution, and structured agent workflows.
What is the context window of Muse Spark 1.1?+
Muse Spark 1.1 features an active context window of 1,048,576 tokens with a maximum single-turn output of 943,718 tokens.
What AI Agent Skills work best with Muse Spark 1.1?+
Because Muse Spark 1.1 is optimized for agentic tool calling and multimodal vision and code reasoning, it pairs well with Agent Skills like Boardroom, SEO Audit, and UI/UX Pro Max.