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Model details

Muse Spark 1.3 Contributor

Muse Spark 1.3 Contributor is positioned as a long-context assistant that prioritizes continuity and careful reasoning rather than raw output volume. According to its catalog description on OpenRouter, it is designed to track information across extended tasks, reconcile conflicting inputs, and proactively request clarification or confirmation when ambiguity arises, reflecting an emphasis on concise, deliberate execution over verbose responses.

The Contributor variant sits alongside a base Muse Spark 1.3 on OpenRouter's index, suggesting it is a tuned build intended for collaborative workflows where sustained context and dependable confirmations matter more than maximum throughput. With a roughly 1.05 million-token window and an observed volume of around 285 million tokens since listing, it appears suited to multi-document analysis, agent-style loops, and interactive debugging sessions where the model needs to keep many threads in view and check its assumptions before committing to an answer.

OpenRoutermeta/muse-spark-1.3-contributormuse

Quick Info

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Provider
OpenRouter
Model key
meta/muse-spark-1.3-contributor
Release date
Sep 2, 2026
Last updated
Sep 2, 2026
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.10
Output token cost
$0.20

Limits

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

Transparent token rates

Compare Muse Spark 1.3 Contributor 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 1.3 Contributor

Meta

Coverage

This DataCamp hands-on developer tutorial covers Meta's Muse Spark 1.3, released September 2, 2026, explicitly referencing the muse-spark-1.3-contributor default variant in Muse Code. The author installed Muse Code, deliberately broke an open-source project, and ran the same three coding tasks against both 1.3 and 1.2. The tutorial surfaces variant-specific behavior for muse-spark-1.3-contributor: it ships as the default in Muse Code with training-on-code enabled by default (opt-out, not opt-in), a 1,048,576-token context window, multimodal inputs (text, images, video, files), and an ultra reasoning level exposed in the CLI and in-se

Meta

CoverageBenchmark

This Coursiv blog post covers Meta's Muse Spark 1.3 launch on September 2, 2026, describing it as a proprietary, closed-weights multimodal reasoning model available immediately in Muse Code and through the Meta Model API as a drop-in upgrade (change the model ID; endpoints, SDKs, and prices unchanged). The model accept The post details reasoning-tier availability and a notable pricing policy: the cheapest rate of $0.10 per million input tokens comes with permission for Meta to use prompts and outputs for model improvement and carries lower service limits. Prior reasoning settings including xhigh work with 1.3, while the max reasoning

OpenRouter

Official sourceBenchmark

OpenRouter's models index confirms that Meta's Muse Spark 1.3 Contributor is now listed on the platform, dated Sep 2, 2026. The model is offered at $0.10 per million input tokens and $0.20 per million output tokens with a 1.05M token context window, an 18+ rating, and 285M tokens observed since listing. It is positione The Muse Spark 1.3 Contributor is designed to track information across extended tasks, handle conflicting inputs, and request clarification or confirmation when needed, with an emphasis on concise execution, according to the catalog description. For cost comparison, the base Muse Spark 1.3 is co-listed on the same page

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