- Meta launches Llama 4 API with Groq and Cerebras as partners
- Llama models offer lower costs and faster output than competitors
- To buy cerebras and Groq could help Meta fully own the AI stack
On Llamacon 2025, Meta Platforms launched its Llama 4 API, which offers access to use per day. Use for its models that host Meta’s own hardware and via inference partners Groq and Cerebras.
Seam The next platform Noticed that this trait effectively transforms meta into a platform cloud provider without having to build a full general cloud like its rivals.
Llama is open source, widely adopted and grows rapidly. It has now reached 1.2 billion downloads across its family of models. According to Meta Chief Product Officer Chris Cox, Open Source AI was seen as “a dream” just two years ago. It is now a global movement, driven by demand for transparency, control and flexibility.
Llama 4’s Maverick and Scout models offer great cost benefits. As reported by The next platformThey are 21 to 31 times cheaper per day. Million tokens than GPT-4O and also beats Gemini 2.5 Pro on price and benchmark scores.
While the performance varies by workload, both models show faster output speeds in many scenarios and are optimized for regular GPU platforms and newer hardware from Groq and Cerebras.
In the conclusion of his article, Timothy Prickett Morgan said: “In a briefing, we joked with Cerebras that it would be nice if the Meta platforms have just bought this alternative iron and got both cerebras and Groq out of the cloud business completely, except for maybe a few racks with gear for prototyping. Sky.
The idea makes a lot of sense. Llama is on its way to becoming the Android of LLMS – open, flexible and everywhere – and Meta could and probably should follow Google’s example and own the hardware stack. Buying Cerebras and Goq would bring inferences fully internally, improve integration and reduce latency.
Right now, like The next platform Observed is meta depending on ads for 97% of revenue. Llama API offers a clear new stream that can grow large enough to require separate financial reporting.
Meta already owns the model. Owning the stack could make it a platform.
