MiniMax M3 on Vercel AI Gateway
TL;DR · AI Summary
MiniMax M3 is now available on Vercel AI Gateway, offering a 1M-token context window and native multimodal support via MSA architecture, enhancing engineering efficiency and tool integration.
Key Takeaways
- M3 supports 1M token context window for handling long documents and complex task
- Built on MiniMax Sparse Attention (MSA), it optimizes inference efficiency and r
- Developers can access M3 via Vercel AI Gateway API without managing infrastructu
Outline
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The article introduces MiniMax M3 model launching on Vercel AI Gateway as the first multimodal model with 1M-token context window.
M3 is designed with MiniMax Sparse Attention (MSA) for efficient inference and supports text, image, and other multimodal inputs.
Developers can invoke M3 through Vercel AI Gateway’s unified API, eliminating infrastructure setup complexity.
Ideal for long-document understanding, terminal tooling, and agent collaboration to boost software engineering automation.
M3 outperforms traditional models in context length and multimodal support; future expansion into vertical domains expected.
Mindmap
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- MiniMax M3 on Vercel AI Gateway
- 核心模型特性
- 1M Token Context Window
- Native Multimodality
- MSA Sparse Attention Architecture
- 开发者集成方式
- Vercel AI Gateway API
- 无需基础设施管理
- 典型应用场景
- 长文本理解
- Terminal Tool Use
- Agent Collaboration
Highlights
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M3 is MiniMax’s first model with a 1M-token context window, breaking current LLM context limits for ultra-long document processing.
Powered by MiniMax Sparse Attention (MSA), M3 reduces computational cost while maintaining high accuracy, enabling efficient deployment on edge or cloud.
Developers can call M3 via Vercel AI Gateway API without server configuration — drastically simplifying AI integration workflows.
MiniMax M3 on AI Gateway - Vercel
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MiniMax M3 on AI Gateway
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May 31, 2026
MiniMax M3 is now available on Vercel AI Gateway.
M3 is MiniMax's first model with a 1M-token context window and native multimodality, built around MiniMax Sparse Attention (MSA).
M3 improves on software engineering, terminal-based tool use, and agentic web browsing, and is tuned for multi-turn collaboration.
To use MiniMax M3, set model to minimax/minimax-m3 in the AI SDK.
1import { streamText } from 'ai';2
3const result = streamText({4 model: 'minimax/minimax-m3',5 prompt: 'Reproduce the bug in this GitHub issue and submit a fix.',6});Pass an image alongside a prompt to use M3's multimodal input:
1import { streamText } from 'ai';2
3const result = streamText({4 model: 'minimax/minimax-m3',5 messages: [6 {7 role: 'user',8 content: [9 {10 type: 'text',11 text: 'This is a screenshot of a failing test. Identify the root cause and write the patch.',12 },13 {14 type: 'image',15 image: 'https://example.com/failing-test.png',16 },17 ],18 },19 ],20});AI Gateway provides a unified API for calling models, tracking usage and cost, and configuring retries, failover, and performance optimizations for higher-than-provider uptime. It includes built-in custom reporting, Zero Data Retention support, dynamic provider sorting by latency & cost, and more. AI Gateway reflects provider pricing with no markup and does not charge a platform fee on inference, including on Bring Your Own Key (BYOK) requests.
Learn more about AI Gateway, view the AI Gateway model leaderboard or try it in our model playground.
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