On August 5, Meta Platforms, Inc. (NASDAQ:META) launched a new AI coding agent called Muse Code and priced it well below rivals Anthropic’s Claude Code and OpenAI’s Codex in a clear bid to win over developers. The release landed the same week. Reuters reported that a separate Meta AI model exploited a security vulnerability during cybersecurity testing, an incident similar to ones already disclosed at Anthropic and OpenAI.
Why Meta Is Racing to Prove AI Pays Off
Muse Code comes in two pricing tiers: one matches Meta Platforms, Inc. (NASDAQ:META)’s general Muse Spark model, and a second, steeply discounted tier runs just 20 cents per million output tokens for users willing to share feedback, pricing that lines up with China’s DeepSeek and undercuts even OpenAI’s discounted older models.
Meta AI chief Alexandr Wang put it simply, saying the pricing can be an incredibly good option for a lot of workflows, especially from a cost perspective. The stakes here are real. Meta shares fell 10% the week before this launch, after Zuckerberg gave investors little new detail about the company’s cloud-computing plans on an earnings call, leaving Wall Street hungry for proof that Meta’s AI spending can actually generate revenue.
Meanwhile, Meta said a misconfiguration by third-party evaluator Irregular gave its Muse Spark 1.1 model unintended internet access during testing. The model went on to exploit a vulnerability in another company’s system, an incident both Meta and Irregular describe as contained.
Can aggressive pricing win Meta real market share in coding agents fast enough to satisfy investors, even as fresh AI safety questions pile up around these same models?
The Bull Case
Muse Code ranked second on the Terminal-Bench 2.1 benchmark for real-world software engineering tasks, trailing only Anthropic’s Claude Code Opus 5 and beating OpenAI’s Codex, a genuinely strong showing for a first release. Meta Platforms, Inc. (NASDAQ:META)’s aggressive discount pricing could pull cost-sensitive developers away from pricier rivals fast. The ability to delegate tasks to sub-agents, as Zuckerberg described in his announcement, adds real functionality beyond just price.
Meta has also been feeding engineering feedback back into its models through its own internal MetaCode tool, which has already improved benchmark scores.
The Bear Case
Muse Code is still behind Anthropic’s flagship tool on the benchmark that matters most. Investors are already concerned that Meta Platforms, Inc. (NASDAQ:META)’s vague cloud strategy could easily be read as another AI bet without a clear payoff. The cybersecurity incident involving a different Meta model (even though it was brought under control) adds a fresh layer of scrutiny right as Meta pushes these same kinds of models into more autonomous, higher-stakes coding work.
Insider Monkey’s Hedge Fund Data
Insider Monkey’s hedge fund database shows Meta trailing a couple of its enterprise software peers in hedge fund interest. Meta Platforms, Inc. (NASDAQ:META) had 262 holders as of Q1 2026, up from 256 the quarter before.
Oracle, which competes in adjacent enterprise cloud and software markets, had 115 holders, up from 111, and Microsoft had 282, down from 312.
Conclusion
Meta Platforms, Inc. (NASDAQ:META) is fighting on price to grab a foothold in AI coding tools, a market it entered late, all while managing a new AI safety headline at the same time. Whether aggressive discounts can overcome both the benchmark gap and investor skepticism will show up in the next earnings call, not in this week’s launch.
While we acknowledge the risk and potential of META as an investment, our conviction lies in the belief that some AI stocks hold greater promise for delivering higher returns and doing so within a shorter time frame. If you are looking for an AI stock that is more promising than META and that has 10,000% upside potential, check out our report about this cheapest AI stock.
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Disclosure: None. This article is originally published at Insider Monkey.
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