According to a recent LinkedIn post from Together AI, the company is now hosting MiniMax’s M2.7 model, a 229 billion-parameter system aimed at software engineering and agentic workflows. The post highlights that the model achieved the highest open-source score on MLE Bench Lite and reports competitive results versus leading proprietary models on several coding benchmarks.
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The post suggests that MiniMax M2.7’s positioning focuses on complex software delivery and multi-agent collaboration, including features such as tool calling and structured JSON output. For investors, this may signal Together AI’s intent to deepen its role as an AI infrastructure provider for high-end coding and agentic applications, potentially enhancing its attractiveness to enterprise developers and AI-native startups.
As shared in the post, MiniMax M2.7 is available on Together AI’s serverless and dedicated infrastructure on its AI Native Cloud. This could support incremental usage-based revenue and strengthen the company’s ecosystem by drawing workloads that demand large-model performance for software engineering, while also sharpening its competitive stance against other AI infrastructure and model-serving platforms.