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.
Verken Toonaangevende Modellen
Atlas Cloud biedt u de nieuwste toonaangevende creatieve modellen in de industrie.
Wat Moonshot LLM Models Onderscheidt
Atlas Cloud biedt u de nieuwste toonaangevende creatieve modellen uit de industrie.
Grensverleggend Redeneren
Modellen die zijn geoptimaliseerd voor diepgaand redeneren, complexe probleemoplossing en instructies in meerdere stappen voor taken in de echte wereld.
Meesterschap in lange context
Ondersteuning voor zeer lange invoer, waardoor uitgebreide chatgeschiedenissen, grote documenten en begrip van code in meerdere bestanden mogelijk worden.
Tweetalige Kracht
Chinees op moedertaalniveau en sterke Engelse vaardigheden voor taaloverschrijdende zoekopdrachten, analyse en contentcreatie.
Ontwikkelaarsecosysteem
API's, SDK's en tools die het bouwen, integreren en itereren van door Moonshot aangedreven producten vereenvoudigen.
Zakelijke betrouwbaarheid
SLA's, monitoring- en governancefuncties ontworpen voor teams die missiekritieke AI-applicaties leveren.
Kostenefficiënte prestaties
Geoptimaliseerde architectuur en serving stack balanceren kwaliteit, snelheid en kosten op tokenniveau voor productieworkloads.
Pieksnelheid
Laagste kosten
| Model | Beschrijving |
|---|---|
| Kimi K2.5 | Kimi K2.5 is een multimodaal vlaggenschip-LLM, dat voortdurende pretraining op 15T gemengde visuele en teksttokens integreert met 262,14K contextverwerking; met Visual Agentic Intelligence dient het als de grensverleggende standaard voor complexe cross-modale redenering en geavanceerde automatisering van visuele taken. |
| Kimi-K2-Thinking | Kimi-K2-Thinking is een gespecialiseerd LLM met een hoog redeneervermogen, dat diepe chain-of-thought-architecturen integreert met robuuste analytische capaciteiten; met een cognitieve diepgang die de grenzen van reflexmatige reacties overstijgt, dient het als de motor voor complexe logische gevolgtrekkingen en ingewikkelde probleemoplossende workflows. |
| Kimi-K2-Instruct-0905 | Kimi-K2-Instruct-0905 is een geoptimaliseerde agentic LLM, die verbeterde codeervaardigheden integreert met uitgebreide 262.14K contextondersteuning; met een uiterst nauwkeurige uitvoering dient het als katalysator voor grootschalig codebasebeheer en geavanceerde ontwikkelaarsgerichte agentic operaties. |
| Kimi-K2-Instruct | Kimi-K2-Instruct is een gestroomlijnde algemene LLM, die reflexmatige responsmechanismen integreert met 131,07K contextverwerkingsmogelijkheden; met een gepolijst post-getraind raamwerk dient het als de primaire interface voor drop-in chat en flexibele, directe agent-ervaringen. |
Nieuwe functies van Moonshot LLM Models + Showcase
De combinatie van geavanceerde modellen met het GPU-versnelde platform van Atlas Cloud biedt ongeëvenaarde snelheid, schaalbaarheid en creatieve controle voor beeld- en videogeneratie.
Zwermtaakuitvoering met Kimi K2.5
Kimi K2.5 vervangt single-threaded redenering door tot 100 sub-agenten te coördineren om parallel aan complexe doelen te werken. Door enorme projecten op te splitsen in beheersbare stappen, kunnen gebruikers meertraps workflows 4,5 keer sneller voltooien dan met standaard AI-modellen. Het is de ultieme oplossing voor het automatiseren van projectmanagement op hoog niveau en het uitvoeren van professionele instructies met lange ketens.
Directe videoanalyse met Kimi K2.5
Kimi K2.5 ondersteunt directe video- en beeldinvoer om beweging, logische sequenties en complexe lay-outs te begrijpen zonder externe plug-ins. Door het model te voeden met schermopnamen of ontwerpbestanden, kunnen gebruikers direct architecturale details en visuele gegevens met uiterste precisie extraheren. Het is de ultieme oplossing voor real-time video-interpretatie en het overbruggen van de kloof tussen visuele activa en tekstlogica.
Esthetische frontend-generatie met Kimi K2.5
Kimi K2.5 combineert professionele backend-logica met een verfijnd oog voor design en interactieve 3D-beweging. Door UI-mockups of democlips te uploaden, kunnen gebruikers functionele code genereren voor Three.js en complexe animaties die zowel robuust als visueel verbluffend zijn. Het is de ultieme oplossing voor ontwikkelaars die code nodig hebben die niet alleen werkt, maar ook voldoet aan hoogwaardige ontwerpprincipes.
Wat U Kunt Doen met Moonshot LLM Models
Ontdek praktische use cases en workflows die u kunt bouwen met deze modelfamilie — van contentcreatie en automatisering tot productie-grade applicaties.
Visual-to-Code frontend-generatie met Kimi K2.5
De Kimi K2.5 transformeert statische ontwerpschermafbeeldingen of UI-demovideo's in functionele React- of Vue-codebases geïntegreerd met Three.js-animaties. Perfect voor creatieve ontwikkelaars en rapid prototyping; het model behoudt complexe belichting en beweging en ondersteunt de directe creatie van 3D-landingpages, interactieve datadashboards en gepolijste marketing-microsites.
Diepgaande documentaudit met de Kimi K2.5 Context Engine
Kimi K2.5 stelt financiële en juridische professionals in staat om honderden pagina's met uiteenlopende rapporten te uploaden om in seconden tegenstrijdige clausules of verborgen gegevenstrends te identificeren. Door specifieke vragen te stellen over risicofactoren of financiële cijfers, kunnen gebruikers gestructureerde vergelijkingstabellen genereren met directe verwijzingen naar paginanummers. Het is de ultieme oplossing voor uitgebreide due diligence en het auditen van enorme documentarchieven zonder handmatig lezen.
Synthese van complexe narratieve logica met het Kimi K2.5-model
Het Kimi K2.5 Model stelt scenarioschrijvers en game-ontwerpers in staat om eenvoudige personage-prompts uit te breiden tot volledige episodische scripts met perfecte plotconsistentie en logica met meerdere vertakkingen. Het model is ideaal voor meeslepende wereldopbouw en verhalende media en volgt verhaallijnen op lange termijn zonder tegenstrijdigheden, ter ondersteuning van het creëren van interactieve dialoogbomen, episodische storyboards en gedetailleerde 'lore bibles'.
Modelvergelijking
Bekijk hoe modellen van verschillende aanbieders zich verhouden — vergelijk prestaties, prijzen en unieke sterke punten voor een weloverwogen beslissing.
| Model | Context | Maximale uitvoer | Invoer | Positionering |
|---|---|---|---|---|
| Kimi K2.5 | 262.14K | 262.14K | Text | Multimodaal vlaggenschip-LLM |
| Kimi-K2-Thinking | 262.14K | 262.14K | Text | Gespecialiseerd LLM met hoog redeneervermogen |
| Kimi-K2-Instruct-0905 | 262.14K | 32.77K | Text | Maximale uitvoer |
| Kimi-K2-Instruct | 131.07K | 131.07K | Text | Gestroomlijnd algemeen LLM |
| MiniMax M2.5 | 196.61K | 196.6K | Text | State-of-the-art agent-gebaseerde coding |
| GLM-5 | 202.75K | 202.75K | Text | Vlaggeschip-foundationmodel |
| DeepSeek V3.2 | 163.84K | 163.84K | Text | Vlaggenschip algemeen |
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.
Waarom Moonshot LLM Models Gebruiken Op Atlas Cloud
De combinatie van Moonshot LLM Models's geavanceerde modellen met het GPU-versnelde platform van Atlas Cloud biedt ongeëvenaarde prestaties, schaalbaarheid en ontwikkelaarservaring.
Prestatie & Flexibiliteit
Lage Latentie:
GPU-geoptimaliseerde inferentie voor realtime reasoning.
Uniforme API:
Voer Moonshot LLM Models, GPT, Gemini en DeepSeek uit met één integratie.
Transparante Prijzen:
Voorspelbare op tokens gebaseerde facturering met serverloze opties.
Onderneming & Schaling
Ontwikkelaarservaring:
SDK's, analytics, fine-tuning tools en sjablonen.
Betrouwbaarheid:
99,99% beschikbaarheid, RBAC en compliance-ready logging.
Beveiliging & Compliance:
SOC 2 Type II, HIPAA-afstemming, gegevenssoevereiniteit in VS.
Veelgestelde Vragen over Moonshot LLM Models
Kimi K2.5 ondersteunt een contextvenster van 262,14K tokens, waardoor gebruikers in één sessie enorme datasets, uitgebreide technische handleidingen of volledige codebases kunnen uploaden en analyseren.
Hiermee kan het model één complex doel opsplitsen in meerdere subtaken, waarbij tot 100 autonome agents worden georkestreerd om parallel te werken, wat resulteert in een tot 4,5 keer snellere uitvoering dan bij modellen met één agent.
Ja. Naast statische beelden beschikt Kimi K2.5 over native multimodale visie die directe videostreams analyseert om bewegingspatronen, logische sequenties en ruimtelijke indelingen met precisie op frameniveau te identificeren.
Zeer capabel. Het scoort 76,8% op de SWE-bench Verified, wat betekent dat het ontwerpscreenshots kan vertalen naar productieklare code geïntegreerd met complexe Three.js-animaties en responsieve lay-outs.
U hebt toegang tot Kimi K2.5 via OpenAI-compatibele API's die worden gehost op Atlas Cloud, waardoor een naadloze "drop-in" vervanging mogelijk is zonder uw huidige applicatielogica te herschrijven.
Verken Meer Families
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.
