Meta's Muse Spark 1.3 Contributor Reached Second in Usage
The AI model secured the second-place ranking on the OpenCode platform following significant token volume growth.
Updated on Sept. 24, 2026 in Artificial Intelligence
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Meta's Muse Spark 1.3 Contributor model hit the number two spot on the OpenCode statistics page as of September 24. The model recorded 36 trillion tokens and maintained an 83.3% weekly retention rate among its 13,000 eligible users.
Why it matters
The model is offered at a discount to encourage usage in exchange for user prompt and completion data, which helps train future AI iterations. This data-gathering strategy has propelled Meta models to account for 23.7% of the platform's market share.
Muse Spark 1.3 Contributor reached the second usage rank with 36 trillion tokens and a weekly retention rate of 83.3% across 13,000 users. Meta models collectively command 23.7% of the total displayed market share on the OpenCode platform.
The players
Meta
Meta is a technology company that develops artificial intelligence models and powers digital social platforms.
OpenCode
OpenCode is a digital platform that hosts and tracks the usage statistics of various artificial intelligence coding models.
The details
Access to the model is provided through the OpenCode Go subscription service, primarily utilized by coding agents. By offering discounted pricing in return for interaction data, the company has successfully integrated Muse Spark into the Meta AI app and meta.ai ecosystem.
Timeline
April 8, 2026: Meta introduced the Muse Spark model series.
September 24, 2026: Model rankings and token data were officially recorded.
The Tech Race
The current performance of the Muse Spark 1.3 Contributor model demonstrates the backend operational growth required to support the Meta AI app. This aggressive data-for-discount strategy marks a departure from traditional licensing models, highlighting a new phase in the race for proprietary training data.
Users accessing these models through coding agents can leverage lower costs in exchange for providing data to the developer. This pricing structure creates a direct trade-off between individual subscription savings and the contribution of prompt data to future training cycles.
The takeaway
The rise of Muse Spark suggests that deep integration into coding agent ecosystems is a primary driver for modern AI model adoption. Developers should weigh the cost benefits of discounted model access against the privacy implications of providing their own prompts for future training.
Further reading
For more information on the current landscape, visit the Artificial Intelligence section.
Source note: This article includes information reported by TokenPost.
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