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Muse Spark 1.1

An official Meta blog post titled "Introducing Muse Spark 1.1" was published at the Meta AI domain, with page navigation linking to Meta AI products, AI Research, AI Developers, and the Try Meta AI application. The post's publication timestamp aligns with the model's most recent update, confirming active Meta-side documentation for this model. Beyond the page title and header references, the supplied excerpt does not expose substantive technical content, so architectural lineage and training methodology are not characterized here.

The blog URL path positions Muse Spark 1.1 within Meta's broader AI Research and developer ecosystem, suggesting an intended audience of builders integrating Meta-hosted capabilities into applications. Because the available evidence is limited to a Meta blog index rather than a model card or technical report, qualitative strengths, benchmark standing, and practical fit cannot be elaborated without overstating what the sources confirm.

OpenRoutermeta/muse-spark-1.1muse

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Provider
OpenRouter
Model key
meta/muse-spark-1.1
Release date
Apr 8, 2026
Last updated
Jul 9, 2026
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$1.25
Output token cost
$4.25

Limits

Output tokens
943,718 tokens
Context window
1,048,576 tokens

Transparent token rates

Compare Muse Spark 1.1 pricing

Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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Latest news about Muse Spark 1.1

Kilo Gateway

CoverageBenchmark

NanoGPT published independent benchmark analysis on July 18, 2026 showing Meta's Muse Spark 1.1 scored 51 on the Artificial Analysis Intelligence Index, up from 43 for the original Muse Spark released three months earlier. The piece situates that score near GPT-5.4 at xhigh reasoning, GPT-5.6 Luna at max, and GLM-5.2 a The article frames Meta's first-party launch numbers as distinct from independent testing, noting Muse Spark 1.1 is text-and-image capable, supports tool calling, offers adjustable reasoning effort, and accepts up to one million input tokens. According to NanoGPT, the model's standout practical combination is strong be

Kilo Gateway

CoverageBenchmark

Isaak Kamau's Medium tutorial, published July 9, 2026, reports that Meta Superintelligence Labs released Muse Spark 1.1 as a multimodal reasoning model optimized for agentic tasks, tool use, computer interaction, and coding, with the announcement made by Mark Zuckerberg directly on X. Building on the original Muse Spar This candidate is a personal Medium blog rather than an official Meta source, and benchmark scores appear drawn from Meta's launch table rather than independent testing, per the supplied excerpt. Its technical value lies in consolidating the architecture and feature claims from the July 9 launch into a single tutorial-

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