Meta’s new Muse Spark 1.1 pricing looks like a pretty clear shot at the rest of the market. From what’s been published, Muse Spark 1.1 via the Meta Model API is priced at $1.25 per million input tokens and $4.25 per million output tokens , with $20 in free credits for new accounts and cache pricing reportedly as low as $0.15/M input . If those numbers hold, that makes it one of the most aggressively priced near-frontier models right now. Rough pricing comparison as of July 2026 : Muse Spark 1.1 (Meta): $1.25 input / $4.25 output Grok 4.5 (xAI): about $2.00 input / $6.00 output GPT-5.5 / GPT-5.6 (OpenAI): about $5 input / $30 output Claude Opus 4.8 / Fable 5 (Anthropic): about $5-10 input / $25-50 output My take is that Meta is absolutely willing to use low pricing to gain market share. They already have the data, compute, capital, and talent , so there’s no obvious reason they can’t keep pushing until they get models that are very close to the leaders, if not fully competitive in many real-world use cases. That’s why this feels bigger than just one launch. If Meta stays aggressive, it could force a broader token price war , and that would be good for the industry. It would reduce the risk of an OpenAI/Anthropic duopoly , make frontier-level models more accessible, and push more innovation into the application layer instead of everyone paying huge margins at the model layer. In the long run, cheaper inference is probably healthier for the ecosystem than a small number of labs keeping prices high. Curious whether people here think Meta can actually sustain this strategy, or if this is just an early land-grab. submitted by /u/wenhuizhao
Originally posted by u/wenhuizhao on r/ArtificialInteligence