@cline: Muse Spark 1.1 just launched and it's their most capable coding agent model yet. On Terminal-Bench 2.1 it scores 80.0%,…
Summary
Meta launches Muse Spark 1.1, an upgraded coding agent model scoring 80.0% on Terminal-Bench 2.1, alongside a public preview of the Meta Model API.
View Cached Full Text
Cached at: 07/10/26, 04:13 PM
Muse Spark 1.1 just launched and it’s their most capable coding agent model yet.
On Terminal-Bench 2.1 it scores 80.0%, in the same cluster as Opus 4.8 (82.7%) and GPT 5.5 (83.4%).
Use it in Cline with the Meta API!
AI at Meta (@AIatMeta): We’re excited to introduce Muse Spark 1.1, a significant upgrade from the first Muse Spark model we released earlier this year.
Along with this release, we are launching a public preview of the new Meta Model API where developers can access Muse Spark 1.1.
The model is also
Similar Articles
Meta says its new AI model is ready to compete on coding
Meta releases Muse Spark 1.1, a new AI model for advanced coding tasks including bug detection and agentic workflows, available via the Meta Model API.
Introducing Muse Spark 1.1
Meta released Muse Spark 1.1, the first Spark model with an API, featuring improvements in agentic tool calling and computer use.
Meta enters the crowded AI coding battle with Muse Spark 1.1
Meta launched Muse Spark 1.1, a multimodal AI model for agentic coding, competing with OpenAI and Anthropic at a competitive price.
@DeRonin_: BREAKING: Meta just dropped Muse Spark 1.1 everyone's reading Meta's Muse Spark 1.1 wrong it's not a GPT-5.5 rival. it'…
Meta releases Muse Spark 1.1, a low-cost model that outperforms competitors in agentic tasks like tool use and financial agents, though it falls behind in coding benchmarks. Priced at $1.25/M input and $4.25/M output, it positions itself as a budget model for agent workflows.
@_jasonwei: In addition to agents and coding, Muse Spark 1.1 is also really strong at answering health questions, a steadily growin…
Muse Spark 1.1, a new agentic and coding model from Meta, achieves +5% improvement on HealthBench-Pro, outperforming all competitors except Fable and Mythos.