As a premier suite of Large Language Models (LLMs) developed by MiniMax AI, MiniMax is engineered to redefine real-world productivity through cutting-edge artificial intelligence. The ecosystem features MiniMax M2.5, which is purpose-built for high-efficiency professional environments, and MiniMax M2.1, a model that offers significantly enhanced multi-language programming capabilities to master complex, large-scale technical tasks. By achieving SOTA performance in coding, agentic tool use, intelligent search, and office workflow automation, MiniMax empowers users to streamline a wide range of economically valuable operations with unparalleled precision and reliability.
Atlas Cloud 为您提供最新的行业领先创意模型。
Atlas Cloud 为您提供业界领先的最新创意模型。
专为深度推理、复杂问题解决和多步规划而打造的最先进语言模型。
Lightning 风格的注意力机制和优化的架构使 MiniMax 模型能够处理和保留长上下文,
混合专家(Mixture-of-Experts)架构设计带来了高智能、低延迟以及显著优化的性价比。
从强大的通用模型到针对编程和智能体优化的变体。
稳定、可扩展的基础设施,配备监控与安全保障,专为生产环境设计。
丰富的 API、SDK 和开放权重发布让构建者能够灵活地进行集成、微调或自行托管。
最低成本
| 模型 | 描述 |
|---|---|
| MiniMax M2.5 | MiniMax M2.5 是一款旗舰级 LLM,专为现实世界的生产力而优化,集成了先进的推理架构和广阔的 196.61K 上下文处理能力;它在办公自动化和智能搜索方面拥有 SOTA 性能,是专业环境中管理具有经济价值的任务和复杂通用推理的高效引擎。 |
| MiniMax M2.1 | MiniMax M2.1 是一款专为复杂技术挑战量身定制的高性能 LLM(大语言模型),集成了显著增强的多语言编程能力与强大的 196.61K 上下文处理能力;它在智能体(Agentic)工具调用方面表现出卓越的精确度,是构建复杂的任务调度 Agents 和解决错综复杂的大规模工程问题的基础。 |
| MiniMax M2 | MiniMax M2 是一款 SOTA 通用 LLM,集成了高效推理模块和广阔的 196.61K 上下文处理能力;它在代码编写、搜索和专业工作流中拥有极具竞争力的多功能性,是需要无缝集成多步任务执行的企业日常运营的可靠基石。 |
将先进模型与 Atlas Cloud 的 GPU 加速平台相结合,为图像和视频生成提供无与伦比的速度、可扩展性和创意控制。

MiniMax M2.5 支持超过 10 种编程语言(包括 Rust、Go 和 Python),以促进跨 Web、移动端和桌面平台的全面全栈开发。通过整合深厚的行业知识来进行专业文档格式化和财务建模,它实现了从系统架构设计到最终交付测试的无缝过渡。它是复杂软件工程和高风险办公生产力工作流的终极解决方案。

M2.5 架构在端到端执行方面实现了 37% 的速度提升,将 SWE-bench 上的复杂任务持续时间从 31.3 分钟显著缩短至 22.8 分钟。通过优化任务分解逻辑,该模型在 BrowseComp 等基准测试中,达成目标所需的 Token 数量和搜索轮次减少了 20%。它为高速决策提供了一种精简的解决方案,同时消除了冗余的计算开销。

MiniMax 基于原生 Agent RL(强化学习)框架构建,将核心引擎与智能体脚手架解耦,从而在数十万种不同的现实世界环境中实现泛化。它结合了复杂的过程奖励机制,利用实时执行反馈来优化推理路径并确保卓越的输出质量。这打造了一个高度自适应的系统,能够在保持卓越准确性的同时,最大限度地提高整体运行响应速度。
探索使用该模型家族可以构建的实际应用场景和工作流 — 从内容创作、自动化到生产级应用。
MiniMax M2.5 就像一位高级技术架构师,追踪后端 API、数据库以及 React 或 Swift 等前端框架中的逻辑错误。它不只是提供简单的代码片段,而是重构整个模块以确保系统范围的兼容性。该 API 非常适合快速原型设计,能够处理从环境搭建到边缘情况测试以及企业系统遗留代码现代化等所有工作。
对于需要绝对精度的分析师,该 API 可自动执行复杂的 Excel 财务建模,并遵循专业投资框架生成可发布的研究报告。它解读原始数据以构建风控逻辑,并制作格式标准化的专业幻灯片。这非常适合高风险的咨询和银行业务环境,在这些环境中,准确性和对正式报告标准的严格遵守是不容妥协的。
MiniMax M2.5 执行复杂的多轮搜索任务,将分散的网络信息合成为连贯的行政简报。通过智能分解宽泛的查询并以极低的Token冗余进行浏览,它避免了循环论证,从而提供经过验证的事实。对于需要深度情报而无需手动过滤数百个来源的市场研究人员和战略团队来说,这是一个强大的工具。
查看不同厂商的模型表现 — 对比性能、价格和独特优势,做出明智决策。
| 模型 | 上下文 | 最大输出 | 输入 | 定位 |
|---|---|---|---|---|
| MiniMax M2.5 | 196.61K | 196.61K | 文本 | 最先进的智能体编程 |
| MiniMax M2 | 196.61K | 196.61K | 文本 | 高性能模型 |
| MiniMax M2 | 196.61K | 196.61K | 文本 | 旗舰通用 |
| GLM-5 | 202.75K | 202.75K | 文本 | 旗舰基础模型 |
| DeepSeek V3.2 | 163.84K | 163.84K | 文本 | 旗舰通用 |
几分钟即可上手 — 按照以下简单步骤,通过 Atlas Cloud 平台集成和部署模型。
在 atlascloud.ai 注册并完成验证。新用户可获得免费额度,用于探索平台和测试模型。
将先进的 MiniMax LLM Models 模型与 Atlas Cloud 的 GPU 加速平台相结合,提供无与伦比的性能、可扩展性和开发体验。
低延迟:
GPU 优化推理,实现实时响应。
统一 API:
一次集成,畅用 MiniMax LLM Models、GPT、Gemini 和 DeepSeek。
透明定价:
按 Token 计费,支持 Serverless 模式。
开发者体验:
SDK、数据分析、微调工具和模板一应俱全。
可靠性:
99.99% 可用性、RBAC 权限控制、合规日志。
安全与合规:
SOC 2 Type II 认证、HIPAA 合规、美国数据主权。
我们提供三个主要版本:MiniMax M2.5(办公生产力和搜索旗舰版)、MiniMax M2.1(针对代码和复杂逻辑增强版)以及 MiniMax M2(均衡的通用模型)。
MiniMax M2 系列统一支持 196.61K 的超长上下文,使其能够在单次请求中处理数百页的技术文档或庞大的工程代码库。
在 SWE-bench 端到端测试中,M2.5 将复杂任务的处理时间从 31.3 分钟缩短至 22.8 分钟,标志着整体任务完成速度提升了 37%。
Launching this March, Wan2.7 is the latest powerhouse in the Qwen ecosystem, delivering a massive upgrade in visual fidelity, audio synchronization, and motion consistency over version 2.6. This all-in-one AI video generator supports advanced features like first-and-last frame control, 3x3 grid synthesis, and instruction-based video editing. Outperforming competitors like Jimeng, Wan2.7 offers superior flexibility with support for real-person image inputs, up to five video references, and 1080P high-definition outputs spanning 2 to 15 seconds, making it the premier choice for professional digital storytelling and high-end content marketing.
Nano Banana 2 (by Google), is a generative image model that perfectly balances lightning-fast rendering with exceptional visual quality. With an improved price-performance ratio, it achieves breakthrough micro-detail depiction, accurate native text rendering, and complex physical structure reconstruction. It serves as a highly efficient, commercial-grade visual production tool for developers, marketing teams, and content creators.
Seedream 5.0, developed by ByteDance’s Jimeng AI, is a high-performance AI image generation model that integrates real-time search with intelligent reasoning. Purpose-built for time-sensitive content and complex visual logic, it excels at professional infographics, architectural design, and UI assistance. By blending live web insights with creative precision, Seedream 5.0 empowers commercial branding and marketing with a seamless, logic-driven workflow that turns sophisticated data into stunning, high-fidelity visuals.
Seedance 2.0(by Bytedance) is a multimodal video generation model that redefines "controllable creation," moving beyond the limitations of text or start/end frames. It supports quad-modal inputs—text, image, video, and audio—and introduces an industry-leading "Universal Reference" system. By precisely replicating the composition, camera movement, and character actions from reference assets, Seedance 2.0 solves critical issues with character consistency and physical coherence, empowering creators to act as true "directors" with deep control over their output.
Kuaishou’s flagship video generation suite, Kling 3.0, features two powerhouse models—Kling 3.0 (Upgraded from Kling 2.6) and Kling 3.0 Omni (Kling O3, Upgraded from Kling O1)—both offering high-fidelity native audio integration. While Kling 3.0 excels in intelligent cinematic storytelling, multilingual lip-syncing, and precision text rendering, Kling O3 sets a new standard for professional-grade subject consistency by supporting custom subjects and voice clones derived from video or image inputs. Together, these models provide a comprehensive solution tailored for cinematic narratives, global marketing campaigns, social media content, and digital skit production.
GLM is a cutting-edge LLM series by Z.ai (Zhipu AI) featuring GLM-5, GLM-4.7, and GLM-4.6. Engineered for complex systems and long-horizon agentic tasks, GLM-5 outperforms top-tier closed-source models in elite benchmarks like Humanity’s Last Exam and BrowseComp. While GLM-4.7 specializes in reasoning, coding, and real-world intelligent agents, the entire GLM suite is fast, smart, and reliable, making it the ultimate tool for building websites, analyzing data, and delivering instant, high-quality answers for any professional workflow.
Explore OpenAI’s language and video models on Atlas Cloud: ChatGPT for advanced reasoning and interaction, and Sora-2 for physics-aware video generation.
Vidu, a joint innovation by Shengshu AI and Tsinghua University, is a high-performance video model powered by the original U-ViT architecture that blends Diffusion and Transformer technologies. It delivers long-form, highly consistent, and dynamic video content tailored for professional filmmaking, animation design, and creative advertising. By streamlining high-end visual production, Vidu empowers creators to transform complex ideas into cinematic reality with unprecedented efficiency.
Built on the Wan 2.5 and 2.6 frameworks, Van Model is a flagship AI video series that delivers superior high-resolution outputs with unmatched creative freedom. By blending cinematic 3D VAE visuals with Flow Matching dynamics, it leverages proprietary compute distillation to offer ultra-fast inference speeds at a fraction of the cost, making it the premier engine for scalable, high-frequency video production on a budget.
As a premier suite of Large Language Models (LLMs) developed by MiniMax AI, MiniMax is engineered to redefine real-world productivity through cutting-edge artificial intelligence. The ecosystem features MiniMax M2.5, which is purpose-built for high-efficiency professional environments, and MiniMax M2.1, a model that offers significantly enhanced multi-language programming capabilities to master complex, large-scale technical tasks. By achieving SOTA performance in coding, agentic tool use, intelligent search, and office workflow automation, MiniMax empowers users to streamline a wide range of economically valuable operations with unparalleled precision and reliability.
Kimi is a large language model developed by Moonshot AI, designed for reasoning, coding, and long-context understanding. It performs well in complex tasks such as code generation, analysis, and intelligent assistants. With strong performance and efficient architecture, Kimi is suitable for enterprise AI applications and developer use cases. Its balance of capability and cost makes it an increasingly popular choice in the LLM ecosystem.