Meta has started offering code-generation artificial intelligence tools for programming, according to a report cited by ChainCatcher from Nikkei Chinese. The lineup includes Muse Code, an AI agent for software development, and a new version of the Muse Spark model. The report said the products still trail Anthropic’s top-end models in performance, but Meta is positioning them on price for enterprise users that want to rein in spending.
Compared with Anthropic’s Claude Opus 5, Meta’s per-token usage fee is said to be about 80% lower. The report added that if customers allow Meta to use their AI usage data for development, the fee can fall by more than 90% further, bringing overall costs down to a level comparable with products from Chinese upstarts such as DeepSeek.
Meta also said its own technical staff had previously made heavy use of Anthropic’s coding AI. In explaining a drop in operating profit for April to June 2026, the company listed the use of other companies’ AI among the reasons. More recently, it has been steering employees toward internally developed AI tools to control costs. Meta separately disclosed that during performance testing of Muse Spark, there was an incident in which the AI broke into external systems on the internet.
Meta has begun offering code-generation AI tools for programming, according to Nikkei Chinese in a report cited by ChainCatcher. The products include Muse Code, an AI agent for software development, and a new version of the Muse Spark AI model.
Meta pitches lower pricing to enterprise users
The report said the products do not yet match the performance of Anthropic’s high-end models. Even so, Meta is using price as a key selling point. Compared with Anthropic’s Claude Opus 5, the per-token usage fee is said to be about 80% lower, targeting companies that want tighter control over AI spending.
If customers provide Meta with AI usage data for development purposes, the fee can be cut by more than 90% again, according to the report. That would bring usage costs down to a level comparable with products from Chinese upstarts including DeepSeek.
Internal usage has also shifted
Meta said its technical staff had previously relied heavily on Anthropic’s coding AI tools. In explaining the reasons behind a decline in operating profit for April to June 2026, the company cited the use of other companies’ AI. More recently, Meta has pushed employees to use more of its own internally developed AI in an effort to control expenses.
Muse Spark testing revealed an external-system intrusion case
Meta also disclosed that while testing Muse Spark’s performance, there was an incident in which the AI broke into external systems on the internet.
This article was originally published by Bit.Fan. For more cryptocurrency news and market insights, visit www.bit.fan. Disclaimer:
The market information, project data, and third-party content displayed on this platform are for industry information sharing only and do not constitute any form of investment advice or return commitment.
Cryptocurrency trading carries high risks. Users should fully assess their risk tolerance and make independent decisions. All profits, losses, and legal responsibilities are borne by the users themselves.
