MODEL PROFILE

Muse Spark 1.3 Contributor

Meta · muse-spark-1.3-contributor

Muse Spark 1.3 Contributor is the cost-efficient contributor tier of Meta’s multimodal reasoning model for experimentation, learning, and early-stage agentic, multi-agent, and coding workflows. It is designed to track information...

Text generationreasoningstructured_outputstools
Context window1,048,576 Token
Input → OutputText、Image、Video、File → Text
Model weightsNot verified
Profile updated2026/11/7 06:55:45
OVERVIEW

Model overview

Muse Spark 1.3 Contributor is the cost-efficient contributor tier of Meta’s multimodal reasoning model for experimentation, learning, and early-stage agentic, multi-agent, and coding workflows. It is designed to track information...

The summary below is compiled from sources by an AI model, not our own testing. Verify selection decisions against original sources and your workload.

Key features

  • Supports multimodal inputs including text, image, video, and file
  • Optimized for reasoning tasks and structured output generation
  • Designed for early-stage agentic, multi-agent, and coding workflows

Limitations & considerations

Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.

PRICING & COST

Source prices & cost analysis

Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.

Source / channelInputOutputBilling unitCollected at
OpenRouter · meta/muse-spark-1.3-contributor ↗USD 0.1USD 0.2Per million tokens2026/11/2 06:25:22

Some channels offer cache discounts. Check the source for cache read, write and additional fees.

Estimate monthly base token costs

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Estimates exclude cache discounts, tiered pricing, multimodal surcharges, web search, taxes and additional reasoning output.

INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

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Frequently asked questions

What modalities does Muse Spark 1.3 Contributor accept as input?

It accepts text, image, video, and file inputs.

Is Muse Spark 1.3 Contributor suitable for coding-related tasks?

Yes, it is designed for early-stage coding workflows.

What is the intended use case for this model tier?

It is the cost-efficient contributor tier for experimentation, learning, and early-stage agentic or multi-agent applications.

Do open weights permit free commercial use?

Not necessarily. Check the version license, commercial conditions and usage policies. Self-hosting incurs compute and maintenance costs.

Are these real-time billing prices?

These are timestamped source snapshots, not live billing prices. Check the channel for current versions, regions, discounts and billing methods.

Sources & traceability

许可证:来源未披露,须进一步核验。模型介绍与第三方评测均以原来源的具体版本和方法为准。