Jingyue Shen

Code RL @Meta MSL 🥑
Previously:Gemini Code @ Google Labs/Deepmind

[Hongyu Ren @ren_hongyu]

Excited to share Muse Spark 1.2 and Muse Code (beta). Muse Spark 1.2 is an upgrade to 1.1 with overall improvements in coding and general agents. Muse Code is our harness designed for efficiently and robustly solving complex software engineering tasks. Try the bundle out!

https://t.co/WfzzTh4JLS

[Alex Shaw @alexgshaw]

Muse Spark 1.1 debuts on the TB2.1 leaderboard, punching above it's weight in terms of both cost and speed (and notably no detected reward hacks).

Cheaper than all GPT 5.6 variants, it lands right between luna and terra.

Full leaderboard in 🧵

[Tianhe (Kevin) Yu @TianheYu]

Super proud of the release of Muse Spark 1.1 with significant improvement in agentic and coding capabilities! Can’t wait to see how this model can be used in daily development. We are still shipping and the best is yet to come!

[Claire Zhou @claireszhou]

I’m so proud of this team!!! We’ve come a long way since our first model, and the momentum is only continuing from here. A big day for us, with bigger to come 🚀🥑

[Rui Hou @magpie_rayhou]

Excited to share Muse Spark 1.1 — our first model with an API offering!

It’s performant on agentic and coding tasks, and we’re excited to make it easier for developers to build. Looking forward to hearing community feedback and seeing what people create with it.

More to come!

[Shengjia Zhao @shengjia_zhao]

Today we are launching Muse Spark 1.1, an upgrade to muse spark 1 that greatly improves agentic, coding, multimodal, and computer use capabilities. We're also launching the Meta Model API in public preview.

https://t.co/Th9DzacJaW

[Hongyu Ren @ren_hongyu]

Excited to share what we’ve been building at Meta Superintelligence Labs!

Today we’re launching Muse Spark 1.1, our strongest model yet for complex agentic workflows — delivering massive gains in agents, computer use, coding, multimodal reasoning, and multi-agent orchestration.

This is also our first API release! We’d love to hear your feedback.

And we’re just getting started, super proud of the team behind it, and the larger models are training right now. 🚀

https://t.co/GBoZgv2aA2

[Lichang Chen @LichangChen2]

We’re one step closer to our mission @alexandr_wang : Personal Superintelligence to everyone! It’s a rewarding process to build up the full-stack agent RL from container services of the monorepo, data to agentic RL/sampling algorithm together with the talents. We are research-driven: besides benchmarks, we also herd the model to become a lifelong learner companion!

Try the model on OSS harness like OpenCode and give us feedbacks!

[Yuxiang Wei @YuxiangWei9]

let’s push the horizon longer 🚀

[Zhiqing Sun @EdwardSun0909]

Excited to share Muse Spark 1.1 with you! It’s our first model available in the API, built to excel in agentic and coding.

I’m incredibly proud of what the team has achieved in such a short time, from 1.0 to 1.1. The momentum is high, and we’re still training larger models!

[Jingyue Shen @jingyueshen]

Glad to be part of this journey, it’s a great model, and it’s just the beginning🚀🚀🚀

[Alexandr Wang @alexandr_wang]

1/ muse spark 1.1 is an industry-competitive agentic and coding model. across many agentic evals it rivals gpt-5.5 and opus-4.8.

available now through the new meta model api and in meta ai. 🧵