{"id":670230,"date":"2026-09-03T10:30:29","date_gmt":"2026-09-03T10:30:29","guid":{"rendered":"https:\/\/www.europesays.com\/ie\/670230\/"},"modified":"2026-09-03T10:30:29","modified_gmt":"2026-09-03T10:30:29","slug":"meta-says-it-has-caught-up-with-anthropic-and-openai-with-muse-spark-1-3-its-most-powerful-ai-model-yet","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/ie\/670230\/","title":{"rendered":"Meta says it has caught up with Anthropic and OpenAI with Muse Spark 1.3, its most powerful AI model yet"},"content":{"rendered":"

Meta Platforms Inc.<\/a> says it has more or less caught up with the biggest artificial intelligence labs with the release of its most powerful large language model so far, Muse Spark 1.3.<\/p>\n

The company said in a blog post<\/a> today that the new model can be accessed by developers willing to pay for it through its application programming interface. It\u2019s also going to be rolled out to users of Meta\u2019s social media platforms, Facebook and Instagram, as well as the Meta AI application, in the coming days.<\/p>\n

In an interview<\/a> with Bloomberg, Meta Chief AI Officer Alexandr Wang said Muse Spark 1.3 represents the company\u2019s biggest jump in model performance so far, putting it at the same level as the most recent models created by OpenAI Group PBC and Anthropic PBC. Pointing to advances in Muse Spark 1.3\u2019s coding and agentic automation capabilities, Wang said it is now \u201ccompetitive\u201d with Anthropic\u2019s Claude Fable 5.1 and \u201cbetter than\u201d OpenAI\u2019s GPT-5.6 Sol model, especially in terms of its ability to generate code. It also \u201coutperforms any of the current Chinese models out there,\u201d Wang claimed.<\/p>\n

Such claims are always difficult to judge when it comes to AI models, because they tend to be better at some tasks than others, and it\u2019s easy for companies to game the benchmark tests they publish. However, an independent analysis by Artificial Analysis showed<\/a> that Muse Spark achieved a score of 62 on its Intelligence Index after evaluating its performance across a host of popular benchmarks, putting it behind only Fable 5.1 and Opus 5, and ahead of OpenAI\u2019s models.<\/p>\n

\n

Meta has released Muse Spark 1.3, their fourth Muse Spark model release in five months. Muse Spark 1.3 (max), which is in limited preview for Meta\u2019s partners, scores 62 on the Artificial Analysis Intelligence Index, behind only Claude Fable 5.1 and Claude Opus 5. The variant\u2026 pic.twitter.com\/D7eL8bGwAU<\/a><\/p>\n

\u2014 Artificial Analysis (@ArtificialAnlys) September 2, 2026<\/a><\/p>\n<\/blockquote>\n

The evaluation suggests that Meta could finally start seeing some payback from its massive, multibillion-dollar investments in AI<\/a>. The company has been spending hundreds of billions of dollars<\/a> on AI infrastructure and development in an effort to catch up with Anthropic, OpenAI and its Chinese rivals. Last year, founder and Chief Executive Mark Zuckerberg revamped Meta\u2019s AI strategy, paying over $14 billion<\/a> to acquire a stake in Wang\u2019s former company ScaleAI Inc. and hire him to run his new Superintelligence Labs unit. Since then, Wang has stepped up Meta\u2019s game by enhancing the capabilities of its models and launching new versions as part of an aggressive release cadence.<\/p>\n

However, Meta\u2019s spending has drawn a lot of scrutiny<\/a> from investors, who are getting nervous about when it will see a return on investment. That\u2019s why Meta has abandoned the open-source model it followed with its Llama models in favor of a proprietary strategy similar to Anthropic and OpenAI.<\/p>\n

In July, when it launched Muse Spark 1.1<\/a>, the company said it would be charging developers to access the model for the first time, though it was noticeably cheaper than its rivals\u2019 models. Zuckerberg said at the time that the plan is to make the Muse Spark family one of the most affordable LLMs on the market.<\/p>\n

According to Wang, developers will not have to pay any more to access Muse Spark 1.3 than they were paying to use Muse Spark 1.2, which was launched in August<\/a>. Like its two predecessors, it\u2019s available through the Meta Model API, which also provides developers with various tools for building AI applications.<\/p>\n

\"\"<\/p>\n

Wang told Bloomberg that Meta has seen rapid adoption of the Muse Spark LLM family, with some developers using \u201ctrillions of tokens per week.\u201d He said they\u2019ll be very happy with Muse Spark 1.3, because it\u2019s more efficient that version 1.2, using around 25% fewer tokens to accomplish the same tasks.<\/p>\n

It can also support multiple workflows at once, instead of requiring separate sessions for each one, and it\u2019s better at handling long and complex instructions, and retaining context across multiple tasks. It also has more awareness of its own limitations, Wang said, and it is much safer. In every case when it\u2019s about to take an action that\u2019s irreversible, it will ask for confirmation before it goes and does it.<\/p>\n

Though Meta is now charging for access to its most powerful models, Zuckerberg recently authored a blog post stressing the need to make AI development more open and accessible. But the company has not yet decided if it\u2019s going to release Muse Spark 1.3\u2019s weights.<\/p>\n

Open-weights models, popularized by Chinese AI model makers, also release the \u201cweights,\u201d or the internal blueprint that shows how the model responds to user\u2019s prompts. When companies release a model alongside its weights, it means that developers can download it and run it anywhere, and modify it in any way they see fit, without paying for it. Meta has previously promised to release the weights for Muse Spark 1.2, but has not yet done so.<\/p>\n

Meta may get around to doing this by the time it releases its highly anticipated model, called Watermelon, which is said to be larger and much more powerful than the Muse Spark models. The company has been working on Watermelon for some time, but Wang declined to say when it might be released.<\/p>\n

For now, it remains a work in progress, but Wang believes it will be worth the wait. \u201cWe believe that Watermelon will be extremely competitive,\u201d he added.<\/p>\n

Image: Meta Platforms<\/p>\n

Support our mission to keep content open and free by engaging with theCUBE community. Join theCUBE\u2019s Alumni Trust Network<\/strong>, where technology leaders connect, share intelligence and create opportunities.<\/p>\n