MiniMax LLM Models
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.
探索领先模型
Atlas Cloud 为您提供最新的行业领先创意模型。
MiniMax LLM Models 的核心亮点
Atlas Cloud 为您提供业界领先的最新创意模型。
前沿级推理
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。
超长上下文理解
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，
经济高效的 MoE 性能
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。
多功能模型家族
从强大的通用模型到针对编程和智能体优化的变体。
企业级可靠性
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。
开放且开发者友好
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。
峰值速度
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。 |
MiniMax LLM Models 新功能 + 展示
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。
使用 MiniMax M2.5 进行高级编程和智能体规划
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。
基于 MiniMax M2.5 的快速响应与任务决策效率
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。
基于 MiniMax M2.5 大规模强化学习的进化架构
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。
使用 MiniMax LLM Models 可以做什么
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。
使用 MiniMax M2.5 进行生产级全栈调试
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。
使用 MiniMax M2.5 进行专业财务建模与报告
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。
使用 MiniMax M2.5 进行自主多步网络研究
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。
模型对比
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 |
如何在 Atlas Cloud 上使用 MiniMax LLM Models
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。
创建 Atlas Cloud 账户
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。
为何在 Atlas Cloud 使用 MiniMax LLM Models
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。
性能与灵活性
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。
企业与规模
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。
关于 MiniMax LLM Models 的常见问题
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%。
探索更多系列
Seedance 2.0 Models
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.
Grok-Imagine Models
Grok Imagine Image Quality is xAI's latest AI image generation model, delivering studio-grade visuals with up to 2K resolution and razor-sharp detail. It offers best-in-class text rendering across multiple languages, photorealistic outputs with natural lighting, rich textures, and believable physics, plus tighter prompt following and image editing with reference inputs for precise creative control. Ideal for hero images, ad creatives, product renders, and brand-grade visuals.
Gemini Omni
Gemini Omni (by Google DeepMind) is a video generation and editing model launched on May 20, 2026 at Google I/O that redefines the standard for "reasoning-driven creation," built specifically to solve the core challenge of AI video: making output that actually understands what you mean, not just what you type. It fuses Gemini's reasoning engine with generative capability, accepting any mix of images, text, video, and audio to produce consistent, knowledge-grounded output. Unlike models that start from scratch each time, Omni lets you edit through natural conversation — swapping objects, rewriting scenes, shifting styles — while keeping physics, characters, and continuity intact across every turn.
GPT Image 2 Models
GPT Image 2 is a state-of-the-art multimodal foundation model engineered for exceptional text-to-image generation with unprecedented photorealism and creative versatility. Developed by OpenAI as the evolution of the DALL-E lineage, it transforms detailed natural language descriptions into hyper-realistic imagery at up to 4K resolution. With proprietary "Neural Rendering Engine" technology for precise visual control, GPT Image 2 delivers studio-quality results with accurate anatomy, lighting, and composition—making it the premier AI tool for professional creators, enterprises, and developers demanding production-ready visual assets.
Happy Horse 1.0
HappyHorse-1.0 is a unified multimodal AI video generation model that climbed to the top of the Artificial Analysis Video Arena blind-test leaderboard for both text-to-video and image-to-video generation. CNBC Alibaba Group confirmed ownership of HappyHorse, developed under its Alibaba Token Hub (ATH) business unit, where it leads benchmarks outperforming ByteDance's Seedance 2.0 and others. Caixin Global Led by Zhang Di — the former VP of Kuaishou who architected Kling AI — the 15-billion parameter model generates 1080p video with synchronized audio in a single pass using a unified transformer architecture that bypasses the multi-stage pipelines used by every major competitor.
Wan2.7 Models
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.
Veo3.1 Models
Google DeepMind’s Veo 3.1 represents a paradigm shift in AI video generation, empowering creators with director-level narrative control and cinematic-grade audio quality that seamlessly integrates with its enhanced visual realism. By bridging the gap between imaginative concepts and photorealistic execution, this advanced model offers a transformative solution for a wide range of application scenarios, from professional filmmaking and high-end advertising to immersive digital content creation.
ERNIE Image Models
ERNIE-Image is an open-weight text-to-image model developed by the ERNIE-Image Team at Baidu, built on a single-stream Diffusion Transformer (DiT) with 8B parameters and paired with a lightweight Prompt Enhancer that rewrites short prompts into richer, more structured descriptions before passing them to the diffusion backbone. NYU Shanghai RITS Released on April 15, 2026 under the Apache 2.0 license, it transforms natural language descriptions into detailed imagery with particular strength in text rendering and structured layout generation. ERNIE-Image is designed not only for strong visual quality, but for controllability in practical generation scenarios where accurate content realization matters as much as aesthetics — making it well-suited for commercial posters, comics, multi-panel layouts, and other content creation tasks that require both visual quality and precise control.
GPT Image Models
The GPT Image Family is OpenAI's latest suite of multimodal image generation and editing models, built on the powerful GPT architecture. This family includes three tiers — GPT Image-1, GPT Image-1.5, and GPT Image-1 Mini — each available in both Text-to-Image and Image-to-Image variants. Combining GPT's world-class language understanding with DALL·E-class visual synthesis, these models deliver exceptional prompt adherence, photorealistic rendering, and creative versatility across illustration, photography, design, and visualization tasks. The series offers flexible pricing and quality tiers to match any workflow — from rapid prototyping and high-volume content production to professional-grade final deliverables. Whether you need ultra-fast iterations at minimal cost or maximum quality for brand campaigns, the GPT Image Family has a solution tailored to your needs.
Nano Banana2 Models
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.
Seedream5.0 Models
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.
Kling3.0 Models
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.
