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Vercel adds support for MiniMax M3 on AI Gateway 🧠

Vercel has officially brought MiniMax M3 to its AI Gateway, providing developers with a multimodal model featuring a context window of up to 1 million tokens.

Tier 2 · sources 48% confidence Reviewed
Sources vercel.com

Vercel recently announced the integration of the MiniMax M3 model into its AI Gateway platform. This move allows developers to easily call the model, track costs, and optimize performance directly via Vercel's AI SDK using the identifier minimax/minimax-m3.

The Details

According to Vercel's announcement, MiniMax M3 is MiniMax's first model to feature a 1-million-token context window alongside native multimodality. Built on the MiniMax Sparse Attention (MSA) architecture, this model significantly improves software engineering capabilities, terminal-based tool use, and agentic web browsing. To use it, developers can feed both image and text inputs simultaneously through the AI SDK.

Background

Vercel AI Gateway is a solution that provides a unified API to manage AI models, helping businesses optimize uptime through automated retries and failovers. The tool comes with built-in custom reports, supports a Zero Data Retention policy, and automatically routes providers based on real-time latency or cost.

Why It Matters

For the AI development community in Vietnam, integrating MiniMax M3 into AI Gateway offers a competitive large-context model option without any extra platform fees from Vercel. By maintaining the provider's original pricing and supporting a Bring Your Own Key (BYOK) mechanism, this integration will help startups optimize operating costs for chatbots or complex multi-step AI agents while ensuring data security.