精选理由
看看 Together AI 怎么用 MiniMax M3 把开放模型做大，跑几十亿 tokens 还省钱。不是吹概念，是实打实的缓存和吞吐量优化。
Together AI 在推文中指出，当团队运行数十亿 tokens 时，缓存、吞吐量和服务效率的微小差异会转化为产品级的经济性。以 MiniMax M3 模型为例，该模型在 Together AI 平台上提供前沿品质和开放模型经济学，其服务栈专为规模化设计。这体现了开放模型在生产中的实际成本竞争力。
原文 · Together AI
This is what open-model tokenomics look like in pr…
This is what open-model tokenomics look like in production.
When teams are running billions of tokens, small differences in caching, throughput, and serving efficiency become product-level economics.
MiniMax M3 on Together AI is a strong example: frontier-adjacent quality, open-model economics, and a serving stack built for scale.