推出 Muse Code 与 Muse Spark 1.2
英文标题:Introducing Muse Code and Muse Spark 1.2
Meta 推出了编程 Agent Muse Code,以及面向编程优化的 Muse Spark 1.2 模型。Muse Spark 1.2 强化了代码生成、复杂调试、代码库理解和端到端开发工作流能力,并针对长周期编程任务进行了大量训练。该模型以两个 API 模型 ID 提供:常规版输入/输出价格为每百万 token 1.25/4.25 美元;同意 Meta 使用数据改进产品的贡献者版则降至 0.10/0.20 美元。此举进一步体现出,长序列 Agent 工具调用能力正成为模型竞争和开发者工作流中的关键特性。
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中文
2026 年 8 月 5 日 - Link Blog
推出 Muse Code 与 Muse Spark 1.2([来源](https://news.ycombinator.com/item?id=49187575 "Hacker News"))又一项证据表明,如今任何模型最重要的特性都是长序列 Agent 工具调用能力。Meta 为了实现这一点,还发布了自家的编程 Agent!
Muse Spark 1.2 是对 Muse Spark 1.1 的一次面向编程的更新,在代码生成、复杂调试、代码库理解以及端到端开发者工作流方面均有改进。在 Muse Spark 1.2 中,我们显著扩大了编程任务的训练计算规模,同时扩展了训练环境的多样性。该模型也保持了在通用 Agent 等其他关键领域的优势。[…]
我们将 Muse Spark 1.2 与 Muse Code 共同训练,以确保二者配合使用时,模型能够展现最佳性能和编程可用性。训练包括经拒绝采样的 harness 轨迹,以及针对目标、压缩和子 Agent 的配方优化;同时还集成了 Muse Code 工具集,以最大化 harness 兼容性。[…]
Muse Spark 1.2 接受了大量长周期编程任务训练,包括完整代码仓库生成、大型端到端项目和自动化研究。
下面是一幅由 Muse Spark 1.2 生成的“鹈鹕骑自行车”SVG:

你可以在这里查看 7 月 9 日的 Spark 1.1 鹈鹕。我认为,1.2 版本的鹈鹕虽是小幅改进,但确实具有实质意义。
定价方面有一个有趣的变化:该模型以两个不同的模型 ID 提供。muse-spark-1.2 的价格为每百万输入 token 1.25 美元、每百万输出 token 4.25 美元,接近 Gemini 3.6 Flash(1.50/7.50 美元);但如果你同意 Meta 使用你的数据“改进我们的产品”,则可以使用 muse-spark-1.2-contributor,价格为 0.10/0.20 美元——折扣幅度很大,更接近 GPT-5.6 Luna(0.20/1.20 美元)和 Gemini 3.1 Flash-Lite(0.25/1.50 美元)。
我已将这些新价格添加到 llm-prices.com。
English / 原文
5th August 2026 - Link Blog
Introducing Muse Code and Muse Spark 1.2 (via) Yet more evidence that the most important characteristic of any model these days is long-sequence agentic tool calling. Meta shipped their own coding agent as part of getting that to work!
Muse Spark 1.2 is a coding-focused update to Muse Spark 1.1, with improvements in code generation, complex debugging, codebase understanding, and end-to-end developer workflows. In Muse Spark 1.2, we significantly scaled up training compute on coding tasks while expanding training environment diversity. The model also maintains its strength in other key areas like general agents. [...]
We co-trained Muse Spark 1.2 with Muse Code to ensure the model exhibits its best performance and coding usability when paired together. The training included rejection sampled harness trajectories and recipe optimizations for goals, compaction, and subagents, alongside the integration of the Muse Code toolset to maximize harness compatibility. [...]
Muse Spark 1.2 was extensively trained on long-horizon coding tasks, including whole-repository generation, large end-to-end projects, and auto-research.
Here's a pelican riding a bicycle SVG produced by Muse Spark 1.2:

You can see the Spark 1.1 pelican from 9th July here. I think the 1.2 pelican is a small but material improvement.
An interesting twist on pricing is that the model is offered as two different model IDs. muse-spark-1.2 is priced at $1.25/million input and $4.25/million output - close to Gemini 3.6 Flash ($1.50/$7.50) - but if you agree to let Meta use your data "to improve our products" you can use muse-spark-1.2-contributor which is $0.10/$0.20 - a huge discount, closer to GPT-5.6 Luna ($0.20/$1.20) and Gemini 3.1 Flash-Lite ($0.25/$1.50).
I added those new prices to llm-prices.com.