Moonshot LLM Models
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.
Utforska de Ledande Modellerna
Atlas Cloud förser dig med de senaste branschledande kreativa modellerna.
Vad Som Gör Moonshot LLM Models Unik
Atlas Cloud ger dig de senaste branschledande kreativa modellerna.
Banbrytande Resonemang
Modeller optimerade för djupt resonemang, komplex problemlösning och flerstegsinstruktioner i verkliga uppgifter.
Behärskning av lång kontext
Stöd för mycket långa indata, vilket möjliggör omfattande chatthistorik, stora dokument och förståelse av kod i flera filer.
Tvåspråkig Styrka
Kinesiska på modersmålsnivå och stark engelsk förmåga för tvärspråklig sökning, analys och innehållsskapande.
Utvecklarekosystem
API:er, SDK:er och verktyg som förenklar byggandet, integreringen och itereringen av Moonshot-drivna produkter.
Tillförlitlighet i företagsklass
SLA:er, övervaknings- och styrningsfunktioner utformade för team som levererar affärskritiska AI-applikationer.
Kostnadseffektiv prestanda
Optimerad arkitektur och serving stack balanserar kvalitet, hastighet och kostnad på tokennivå för produktionsarbetsbelastningar.
Topphastighet
Lägsta kostnad
| Modell | Beskrivning |
|---|---|
| Kimi K2.5 | Kimi K2.5 är en multimodal flaggskepps-LLM som integrerar fortsatt förträning på 15T blandade visuella och text-tokens med 262,14K kontextbehandling; med Visual Agentic Intelligence utgör den frontlinjen för komplexa tvärmodala resonemang och sofistikerad automatisering av visuella uppgifter. |
| Kimi-K2-Thinking | Kimi-K2-Thinking är en specialiserad LLM med hög resonemangsförmåga, som integrerar djupa tankekedjearkitekturer (chain-of-thought) med robusta analytiska förmågor; med ett kognitivt djup bortom reflexmässiga gränser fungerar den som motor för komplexa logiska slutsatser och intrikata problemlösningsflöden. |
| Kimi-K2-Instruct-0905 | Kimi-K2-Instruct-0905 är en optimerad agentisk LLM som integrerar förbättrad kodningsförmåga med omfattande 262,14K-kontextstöd; med högprecisionsutförande fungerar den som en katalysator för hantering av storskaliga kodbaser och avancerade utvecklarcentrerade agentiska operationer. |
| Kimi-K2-Instruct | Kimi-K2-Instruct är en strömlinjeformad LLM för allmänna ändamål som integrerar responsmekanismer på reflexnivå med 131,07K kontextbearbetningskapacitet; med ett polerat eftertränat ramverk fungerar den som det primära gränssnittet för drop-in-chatt och smidiga, direkta agentupplevelser. |
Nya funktioner för Moonshot LLM Models + Showcase
Kombinationen av avancerade modeller med Atlas Clouds GPU-accelererade plattform ger oöverträffad hastighet, skalbarhet och kreativ kontroll för bild- och videogenerering.
Svärmuppgiftsutförande med Kimi K2.5
Kimi K2.5 ersätter enkeltrådigt resonemang genom att samordna upp till 100 underagenter för att arbeta parallellt med komplexa mål. Genom att bryta ner massiva projekt i hanterbara steg kan användare slutföra flerstegsarbetsflöden 4,5 gånger snabbare än med standard-AI-modeller. Det är den ultimata lösningen för att automatisera projektledning på hög nivå och utföra långa kedjor av professionella instruktioner.
Direkt videoanalys med Kimi K2.5
Kimi K2.5 stöder direkt video- och bildinmatning för att förstå rörelse, logiska sekvenser och komplexa layouter utan några externa insticksprogram. Genom att mata modellen med skärminspelningar eller designfiler kan användare omedelbart extrahera arkitektoniska detaljer och visuell data med extrem noggrannhet. Det är den ultimata lösningen för videotolkning i realtid och för att överbrygga klyftan mellan visuella tillgångar och textlogik.
Estetisk frontend-generering med Kimi K2.5
Kimi K2.5 kombinerar professionell backend-logik med ett raffinerat öga för design och interaktiv 3D-rörelse. Genom att ladda upp UI-skisser eller demoklipp kan användare generera funktionell kod för Three.js och komplexa animationer som är både robusta och visuellt fantastiska. Det är den ultimata lösningen för utvecklare som behöver kod som inte bara fungerar, utan som också följer exklusiva designprinciper.
Vad Du Kan Göra med Moonshot LLM Models
Upptäck praktiska användningsfall och arbetsflöden du kan bygga med denna modellfamilj — från innehållsskapande och automatisering till produktionsklara applikationer.
Visual-to-Code frontend-generering med Kimi K2.5
Kimi K2.5 omvandlar statiska designskärmdumpar eller UI-demovideor till funktionella React- eller Vue-kodbaser integrerade med Three.js-animationer. Perfekt för kreativa utvecklare och snabb prototypframtagning, bevarar modellen komplex ljussättning och rörelse – vilket stöder omedelbart skapande av 3D-landningssidor, interaktiva datapaneler och polerade marknadsföringsmikrosajter.
Djupgående dokumentgranskning med Kimi K2.5 Context Engine
Kimi K2.5 gör det möjligt för finans- och juristprofessionella att ladda upp hundratals sidor av olika rapporter för att identifiera motstridiga klausuler eller dolda datatrender på några sekunder. Genom att ställa specifika frågor om riskfaktorer eller finansiella siffror kan användare generera strukturerade jämförelsetabeller med direkta hänvisningar till sidnummer. Det är den ultimata lösningen för uttömmande due diligence och revision av massiva dokumentarkiv utan manuell läsning.
Syntes av komplex narrativ logik med Kimi K2.5-modellen
Kimi K2.5 Model gör det möjligt för manusförfattare och speldesigners att utveckla enkla karaktärspromptar till fullfjädrade episodiska manus med perfekt handlingkonsekvens och logik med flera förgreningar. Modellen är idealisk för uppslukande världsbyggande och berättelsetunga medier, och följer långsiktiga berättelsebågar utan motsägelser – vilket stöder skapandet av interaktiva dialogträd, episodiska storyboards och detaljerade lore-biblar.
Modelljämförelse
Se hur modeller från olika leverantörer står sig — jämför prestanda, priser och unika styrkor för ett välgrundat beslut.
| Modell | Kontext | Maximal utdata | Indata | Positionering |
|---|---|---|---|---|
| Kimi K2.5 | 262.14K | 262.14K | Text | Multimodal flaggskepps-LLM |
| Kimi-K2-Thinking | 262.14K | 262.14K | Text | Specialiserad LLM med hög resonemangsförmåga |
| Kimi-K2-Instruct-0905 | 262.14K | 32.77K | Text | Maximal utdata |
| Kimi-K2-Instruct | 131.07K | 131.07K | Text | Strömlinjeformad LLM för allmänna ändamål |
| MiniMax M2.5 | 196.61K | 196.6K | Text | Toppmodern agentbaserad kodning |
| GLM-5 | 202.75K | 202.75K | Text | Flaggskepps-grundmodell |
| DeepSeek V3.2 | 163.84K | 163.84K | Text | Flaggskepp allmän |
How to Use Moonshot LLM Models on Atlas Cloud
Get started in minutes — follow these simple steps to integrate and deploy models through Atlas Cloud’s platform.
Create an Atlas Cloud Account
Sign up at atlascloud.ai and complete verification. New users receive free credits to explore the platform and test models.
Varför Använda Moonshot LLM Models på Atlas Cloud
Att kombinera de avancerade Moonshot LLM Models-modellerna med Atlas Clouds GPU-accelererade plattform ger oöverträffad prestanda, skalbarhet och utvecklarupplevelse.
Prestanda & flexibilitet
Låg Latens:
GPU-optimerad inferens för realtidsresonemang.
Enhetligt API:
Kör Moonshot LLM Models, GPT, Gemini och DeepSeek med en integration.
Transparent Prissättning:
Förutsägbar fakturering per token med serverlösa alternativ.
Företag & Skala
Utvecklarupplevelse:
SDK:er, analys, finjusteringsverktyg och mallar.
Tillförlitlighet:
99.99% drifttid, RBAC och efterlevnadsredo loggning.
Säkerhet & Efterlevnad:
SOC 2 Type II, HIPAA-anpassning, datasuveränitet i USA.
Vanliga Frågor om Moonshot LLM Models
Kimi K2.5 stöder ett kontextfönster på 262,14K tokens, vilket gör det möjligt för användare att ladda upp och analysera massiva datamängder, långa tekniska manualer eller hela kodbaser i en enda session.
Det gör att modellen kan dela upp ett komplext mål i flera deluppgifter och orkestrera upp till 100 autonoma agenter som arbetar parallellt, vilket resulterar i upp till 4,5 gånger snabbare exekvering än modeller med en enda agent.
Ja. Utöver statiska bilder har Kimi K2.5 inbyggt multimodalt seende som analyserar direkta videoströmmar för att identifiera rörelsemönster, logiska sekvenser och rumsliga layouter med precision på bildrutenivå.
Mycket kapabel. Den får 76,8 % i SWE-bench Verified, vilket innebär att den kan översätta designskärmdumpar till produktionsfärdig kod integrerad med komplexa Three.js-animationer och responsiva layouter.
Du kan komma åt Kimi K2.5 via OpenAI-kompatibla API:er som hostas på Atlas Cloud, vilket möjliggör en sömlös "drop-in"-ersättning utan att skriva om din nuvarande applikationslogik.
Utforska Fler Familjer
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.
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.
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.
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.
GLM LLM Models
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.
Open AI Model Families
Explore OpenAI’s language and video models on Atlas Cloud: ChatGPT for advanced reasoning and interaction, and Sora-2 for physics-aware video generation.
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.
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.
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.
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.
GLM LLM Models
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.
Open AI Model Families
Explore OpenAI’s language and video models on Atlas Cloud: ChatGPT for advanced reasoning and interaction, and Sora-2 for physics-aware video generation.
