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.
探索領先模型
Atlas Cloud 為您提供最新的行業領先創意模型。
MiniMax LLM Models 的核心亮點
Atlas Cloud 為您提供業界領先的最新創意模型。
前沿級推理
專為深度推理、解決複雜問題和多步驟規劃而打造的最先進語言模型。
超長上下文理解
Lightning 風格的注意力機制和優化的架構使 MiniMax 模型能夠處理和保留長上下文，
具成本效益的 MoE 效能
混合專家（Mixture-of-Experts）架構設計帶來了高智能、低延遲以及顯著提升的性價比。
多功能模型家族
從強大的通用模型到針對程式設計和智能體最佳化的變體。
企業級可靠性
穩定、可擴充的基礎設施，配備監控與安全保障，專為生產環境設計。
開放且開發者友善
豐富的 API、SDK 和開放權重發布讓建構者能夠靈活地進行整合、微調或自行託管。
峰值速度
最低成本
| 模型 | 描述 |
|---|---|
| MiniMax M2.5 | MiniMax M2.5 是一款旗艦級 LLM，專為現實世界的生產力而優化，整合了先進的推論架構與廣闊的 196.61K 上下文處理能力；它在辦公室自動化與智慧搜尋方面擁有 SOTA 效能，是專業環境中管理具經濟價值任務和複雜通用推論的高效率引擎。 |
| MiniMax M2.1 | MiniMax M2.1 是一款專為複雜技術挑戰量身打造的高性能 LLM，整合了顯著增強的多語言程式設計能力與強大的 196.61K 上下文處理能力；它在代理（Agentic）工具使用方面具備卓越的精確度，是構建複雜任務調度 Agents 以及解決繁複的大規模工程問題的基石。 |
| MiniMax M2 | MiniMax M2 是一款 SOTA 通用 LLM，整合了高效推理模組與廣闊的 196.61K 上下文處理能力；它在程式編碼、搜尋和專業工作流程中具備極具競爭力的多功能性，是需要無縫整合多步驟任務執行的企業日常運營的可靠基石。 |
MiniMax LLM Models 新功能 + 展示
將先進模型與 Atlas Cloud 的 GPU 加速平台相結合，為圖像和視頻生成提供無與倫比的速度、可擴展性和創意控制。
使用 MiniMax M2.5 進行進階編碼與智能體規劃
MiniMax M2.5 支援超過 10 種程式語言（包括 Rust、Go 和 Python），以促進跨 Web、行動裝置和桌面平台的全面全端開發。透過整合深厚的產業知識來進行專業文件格式化和財務建模，它實現了從系統架構設計到最終交付測試的無縫過渡。它是複雜軟體工程和高風險辦公生產力工作流程的決定性解決方案。
基於 MiniMax M2.5 的快速響應與任務決策效率
M2.5 架構在端對端執行方面實現了 37% 的速度提升，將 SWE-bench 上的複雜任務持續時間從 31.3 分鐘顯著縮短至 22.8 分鐘。透過優化任務分解邏輯，該模型在 BrowseComp 等基準測試中，達成目標所需的 Token 數量和搜尋輪次減少了 20%。它為高速決策提供了一種精簡的解決方案，同時消除了冗餘的運算開銷。
透過 MiniMax M2.5 進行大規模強化學習的演化架構
MiniMax 建構於原生 Agent RL（強化學習）框架之上，將核心引擎與代理鷹架（agent scaffolding）解耦，以便在數十萬種不同的現實世界環境中實現泛化。它結合了精密的過程獎勵機制，利用即時執行反饋來優化推理路徑並確保頂尖的輸出品質。這創造了一個高度自適應的系統，能夠在保持卓越準確性的同時，最大程度地提高整體運作回應速度。
使用 MiniMax LLM Models 可以做什麼
探索使用該模型家族可以構建的實際應用場景和工作流 — 從內容創作、自動化到生產級應用。
使用 MiniMax M2.5 進行生產級全端除錯
MiniMax M2.5 就像一位資深技術架構師，追蹤後端 API、資料庫以及 React 或 Swift 等前端框架中的邏輯錯誤。它不只是提供簡單的程式碼片段，而是重構整個模組以確保系統範圍的相容性。該 API 非常適合快速原型開發，能夠處理從環境設定到邊緣案例測試，以及企業系統的舊有程式碼現代化等所有工作。
使用 MiniMax M2.5 進行專業財務建模與報告
對於需要絕對精準度的分析師，該 API 可自動執行複雜的 Excel 財務建模，並遵循專業投資架構生成可直接發布的研究報告。它能解讀原始數據以建構風險控制邏輯，並製作格式標準化的專業簡報。這非常適合高風險的諮詢和銀行業環境，在此類環境中，準確性與對正式報告標準的遵守是不容妥協的。
使用 MiniMax M2.5 進行自主多步驟網路研究
MiniMax M2.5 執行複雜的多輪搜尋任務，將分散的網絡資訊綜合成連貫的行政簡報。透過智慧分解廣泛的查詢並以極低的 Token 冗餘進行瀏覽，它避免了循環論證，從而提供經過驗證的事實。對於需要深度情報而無需手動過濾數百個來源的市場研究人員和戰略團隊來說，這是一個強大的工具。
模型對比
查看不同廠商的模型表現 — 對比效能、價格和獨特優勢，做出明智決策。
| 模型 | 上下文 | 最大輸出 | 輸入 | 定位 |
|---|---|---|---|---|
| MiniMax M2.5 | 196.61K | 196.61K | 文本 | 最先進的智能體程式設計 |
| MiniMax M2 | 196.61K | 196.61K | 文本 | 高效能模型 |
| MiniMax M2 | 196.61K | 196.61K | 文本 | 旗艦通用 |
| GLM-5 | 202.75K | 202.75K | 文本 | 旗艦基礎模型 |
| DeepSeek V3.2 | 163.84K | 163.84K | 文本 | 旗艦通用 |
如何在 Atlas Cloud 上使用 MiniMax LLM Models
幾分鐘即可上手 — 按照以下簡單步驟，透過 Atlas Cloud 平台整合和部署模型。
建立 Atlas Cloud 帳戶
在 atlascloud.ai 註冊並完成驗證。新用戶可獲得免費額度，用於探索平台和測試模型。
為何在 Atlas Cloud 使用 MiniMax LLM Models
將先進的 MiniMax LLM Models 模型與 Atlas Cloud 的 GPU 加速平台相結合，提供無與倫比的效能、可擴展性和開發體驗。
效能與靈活性
低延遲：
GPU 最佳化推理，實現即時回應。
統一 API：
一次整合，暢用 MiniMax LLM Models、GPT、Gemini 和 DeepSeek。
透明定價：
按 Token 計費，支援 Serverless 模式。
企業與規模
開發者體驗：
SDK、資料分析、微調工具和模板一應俱全。
可靠性：
99.99% 可用性、RBAC 權限控制、合規日誌。
安全與合規：
SOC 2 Type II 認證、HIPAA 合規、美國資料主權。
關於 MiniMax LLM Models 的常見問題
我們提供三個主要版本：MiniMax M2.5（辦公生產力和搜尋旗艦版）、MiniMax M2.1（針對程式設計和複雜邏輯增強版）以及 MiniMax M2（均衡的通用模型）。
MiniMax M2 系列統一支援 196.61K 的超長上下文，使其能夠在單次請求中處理數百頁的技術文件或龐大的工程程式碼庫。
在 SWE-bench 端對端測試中，M2.5 將複雜任務的處理時間從 31.3 分鐘縮短至 22.8 分鐘，標誌著整體任務完成速度提升了 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.
