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    Muse Spark 1.3 Announced with Coding Improvements

    Retweet by Meta executive highlights release of updated model from Xiangning Chen.

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    149 Sources, 28d ago, first seen 28d ago

    TLDR

    Alexandr Wang, identified as Chief AI Officer at Meta leading Superintelligence Labs and co-founder of Scale AI, retweeted content from Xiangning Chen. The original post expresses strong excitement about the release of Muse Spark 1.3. It notes that the entire team put in effort to achieve major improvements specifically in coding performance along with additional enhancements. This action brings the update to the attention of Wang's network on the social platform. The evidence consists solely of the retweet and the quoted announcement text with no independent verification or further details provided.

    Combined views

    8.5M

    149 Sources, first seen 28d ago

    Combined views

    8.5M

    149 Sources, first seen 28d ago

    52.7K likes
    52.7K likes
    2.8K comments
    7.1K saves
    5.5K reposts
    2.8K comments
    7.1K saves
    5.5K reposts

    Sentiment

    Positive66.6%33.4%Negative

    Summary

    Sentiment

    Positive66.6%33.4%Negative

    Many accounts welcomed Muse Spark 1.3 for delivering frontier-level coding performance at far lower cost, while some replies called the results weak on harder tasks and overly tuned for benchmarks.

    Based on 382 sentiment-bearing replies from 311 accounts across 13 conversations.

    Summary

    Many accounts welcomed Muse Spark 1.3 for delivering frontier-level coding performance at far lower cost, while some replies called the results weak on harder tasks and overly tuned for benchmarks.

    Based on 382 sentiment-bearing replies from 311 accounts across 13 conversations.

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    149 Sources

    @AndrewCurran_Muse Spark 1.3 is showing up live on the Meta API and in other places, my friend spotted it an hour ago. 1.3 appears to be rolling out now, the official announcement, and posts from Mark and Alexandr, are probably incoming.
    @finkdMuse Spark 1.3 is rolling out today with frontier performance almost too cheap to meter. This is the biggest jump we've made so far on coding and agentic work. Try it in Muse Code and our API. Next up 🍉 and Muse Spark open weights releases coming soon.
    @JackKhttps://dev.meta.ai - 1.3 contributor remains your best cost-to-intelligence choice: $0.10 per 1m input / $0.20 per 1m output. next stop: 🍉
    @alexandr_wang1/ today we’re releasing muse spark 1.3—available in muse code & the meta model api. this is our most capable model yet—frontier performance almost too cheap to meter. much stronger at agentic and coding with better usability. we think users will really notice the jump.
    @MatthewBermanOk I see you Meta
    @shengjia_zhaoToday we're releasing Muse Spark 1.3, our strongest model for agentic and coding tasks in the spark model line. It’s designed to support longer-horizon work, excel in agentic tasks, and follow complex instructions more reliably than previous models. Muse Spark 1.3 is available today in Muse Code and Meta Model API. https://research.meta.ai/blog/introducing-muse-spark-1-3
    @ananyakuIt was really amazing to see the whole team work together on muse spark 1.3, and it’s a pretty big jump from previous releases. Give it a try and give us your feedback
    @scaling01"Next up 🍉 and Muse Spark open weights releases coming soon."
    @mattdeitkeVery excited to release Muse Spark 1.3! The coding and long horizon performance got a huge jump! 🚀 It's still incredibly cheap and also much better at visual coding 🥳 Try it out! https://developer.meta.com/ai/models/muse-spark/
    @teortaxesTexBoth Google and Meta have figured out RL.

    149 Sources

    @AndrewCurran_Muse Spark 1.3 is showing up live on the Meta API and in other places, my friend spotted it an hour ago. 1.3 appears to be rolling out now, the official announcement, and posts from Mark and Alexandr, are probably incoming.
    @finkdMuse Spark 1.3 is rolling out today with frontier performance almost too cheap to meter. This is the biggest jump we've made so far on coding and agentic work. Try it in Muse Code and our API. Next up 🍉 and Muse Spark open weights releases coming soon.
    @JackKhttps://dev.meta.ai - 1.3 contributor remains your best cost-to-intelligence choice: $0.10 per 1m input / $0.20 per 1m output. next stop: 🍉
    @alexandr_wang1/ today we’re releasing muse spark 1.3—available in muse code & the meta model api. this is our most capable model yet—frontier performance almost too cheap to meter. much stronger at agentic and coding with better usability. we think users will really notice the jump.
    @MatthewBermanOk I see you Meta
    @shengjia_zhaoToday we're releasing Muse Spark 1.3, our strongest model for agentic and coding tasks in the spark model line. It’s designed to support longer-horizon work, excel in agentic tasks, and follow complex instructions more reliably than previous models. Muse Spark 1.3 is available today in Muse Code and Meta Model API. https://research.meta.ai/blog/introducing-muse-spark-1-3
    @ananyakuIt was really amazing to see the whole team work together on muse spark 1.3, and it’s a pretty big jump from previous releases. Give it a try and give us your feedback
    @scaling01"Next up 🍉 and Muse Spark open weights releases coming soon."
    @mattdeitkeVery excited to release Muse Spark 1.3! The coding and long horizon performance got a huge jump! 🚀 It's still incredibly cheap and also much better at visual coding 🥳 Try it out! https://developer.meta.com/ai/models/muse-spark/
    @teortaxesTexBoth Google and Meta have figured out RL.