DeepSeek LLM Models
DeepSeek, developed by the deepseek-ai team, is a cutting-edge series of open-source generative AI models engineered to democratize access to high-performance computing through a cost-effective and efficiency-first strategy. Its flagship reasoning model, DeepSeek-R1, made waves by rivaling top-tier proprietary models in mathematics, programming, and complex logical deduction, while the DeepSeek-V3.2, is designed for seamless daily interaction and autonomous Agent workflows. By significantly lowering the barrier to entry for advanced AI, DeepSeek has become a cornerstone for the "vibe coding" movement and a transformative tool in specialized fields like academic research and high-level technical problem-solving.
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Apa Yang Membuat DeepSeek LLM Models Menonjol
Atlas Cloud menyediakan model kreatif terdepan di industri yang terbaru untuk Anda.
Kekuatan Terbuka
Model tingkat atas yang sepenuhnya open-source, menjamin transparansi dan kontrol.
Efisiensi Arsitektur
Memanfaatkan Mixture-of-Experts (MoE) canggih untuk performa terdepan dengan biaya yang jauh lebih rendah.
Keserbagunaan yang dirancang khusus
Dari V3.1 yang serbaguna hingga penalaran khusus R1, DeepSeek menawarkan model untuk setiap tugas.
Kebebasan yang Mengutamakan Pengembang
Dilisensikan secara permisif untuk penggunaan komersial tanpa batas, mendorong inovasi tanpa hambatan.
Performa Terbukti
Secara konsisten mencapai hasil mutakhir pada tolok ukur industri untuk pemrograman dan penalaran.
Alternatif Praktis
Menghadirkan kekuatan model proprieter terkemuka dengan keterjangkauan dan fleksibilitas open-source.
Peak speed
Lowest cost
| Modalitas | Deskripsi |
|---|---|
| DeepSeek V3.2 | DeepSeek V3.2 adalah LLM tujuan umum unggulan, yang mengintegrasikan mekanisme perhatian jarang (sparse attention) dengan kemampuan pemrosesan konteks 163.8K yang kuat; dengan harga dasar yang sangat kompetitif, model ini berfungsi sebagai landasan untuk alur kerja sehari-hari, termasuk penalaran umum yang kompleks dan membangun Agents penjadwalan tugas multi-langkah. |
| DeepSeek V3.2 Speciale | DeepSeek V3.2 Speciale diposisikan sebagai LLM kustom berkinerja tinggi, yang menampilkan jendela konteks 163,8K yang masif dan struktur harga berjenjang premium ($0,4 input / $1,2 output), dirancang khusus untuk node bisnis inti yang sensitif terhadap latensi yang membutuhkan kualitas output terbaik, seperti layanan pelanggan cerdas untuk klien bernilai tinggi atau analisis kuantitatif tingkat milidetik. |
| DeepSeek V3.2 Exp | DeepSeek V3.2 Exp adalah versi eksperimental mutakhir yang didasarkan pada arsitektur V3.2, mengintegrasikan fitur algoritmik terbaru sambil mempertahankan konteks 163.8K dan biaya yang sebanding, menjadikannya ideal bagi tim R&D yang melakukan pra-penelitian teknis dan pengujian canary untuk memvalidasi secara preventif kekuatan pembeda dari kemampuan AI generasi berikutnya untuk produk masa depan. |
| DeepSeek-V3.1 | DeepSeek-V3.1 adalah generasi terbaru dari model ekosistem open-source berkinerja tinggi, mencapai keseimbangan baru antara kinerja dan biaya dalam konteks 131.1K; sebagai pilihan utama untuk proyek implementasi komersial, model ini bertindak sebagai tulang punggung untuk skenario yang memerlukan pembuatan berkualitas tinggi dan biaya yang terkendali. |
| DeepSeek V3.1 Terminus | DeepSeek V3.1 Terminus berfungsi sebagai bentuk pamungkas yang stabil untuk jangka panjang dari seri V3.1. DeepSeek V3.1 Terminus mempertahankan parameter dan harga yang identik dengan versi standar, yang bertujuan untuk memberikan gaya output dan logika yang stabil secara abadi untuk layanan endpoint lingkungan produksi yang mulus dan berorientasi pada konsumen. |
| DeepSeek-V3-0324 | DeepSeek-V3-0324 adalah versi snapshot historis spesifik yang menampilkan konteks 131,1K dan biaya input teks terendah yang tersedia, terutama diterapkan dalam pemeliharaan sistem lama yang memerlukan konsistensi perilaku absolut, atau tugas pemrosesan batch dengan throughput input masif tetapi persyaratan logika output yang moderat. |
| DeepSeek-R1-0528 | DeepSeek-R1-0528 diposisikan sebagai model penalaran mendalam tingkat atas, memanfaatkan konteks 131,1K dan memiliki biaya komputasi tertinggi ($0,55/$2,15), mewakili puncak kemampuan dialektika logis, yang digunakan secara eksklusif untuk tugas-tugas "brainstorming" penting seperti pemodelan matematika yang kompleks dan pembuatan arsitektur kode tingkat lanjut. |
| DeepSeek OCR | DeepSeek OCR adalah LLM multimodal visual khusus yang mendukung input gambar-teks jalur ganda dengan konteks 8.2K yang pendek dan biaya penggunaan yang sangat rendah, diadaptasi dengan sempurna untuk skenario pipeline entri data otomatis seperti digitalisasi dokumen pindaian masif dan ekstraksi terstruktur tanda terima keuangan. |
Fitur baru DeepSeek LLM Models + Showcase
Menggabungkan model canggih dengan platform berakselerasi GPU Atlas Cloud memberikan kecepatan, skalabilitas, dan kontrol kreatif tak tertandingi untuk pembuatan gambar dan video.
Penalaran & Verifikasi Kelas Dunia melalui DeepSeek-V3.2-Speciale API
DeepSeek-V3.2-Speciale is the "long-thought" enhanced variant of the V3.2 architecture, integrating advanced theorem-proving capabilities from DeepSeek-Math-V2. Engineered for extreme precision, this model excels in rigorous mathematical proofing, complex logical verification, and superior instruction following, rivaling the performance of Gemini-3.0-Pro in mainstream reasoning benchmarks. It is the premier choice for academic research, automated formal verification, and high-stakes technical problem-solving where logical integrity is non-negotiable.
Kedalaman Kognitif Tak Tertandingi via DeepSeek-R1 API
Model DeepSeek-R1 berada di garis depan AI penalaran, memberikan kinerja terdepan di industri dalam matematika, pemrograman, dan logika umum. Dengan mencapai kesetaraan dengan model elit global seperti o3 dari OpenAI dan Gemini-2.5-Pro, R1 telah mendefinisikan ulang kemampuan kecerdasan open-source. Model ini secara khusus dioptimalkan untuk tugas-tugas berpikir mendalam, termasuk pengembangan algoritmik yang kompleks, sintesis data yang canggih, dan alur kerja kognitif tingkat lanjut yang memerlukan penalaran deduktif multi-tahap.
Interaksi harian yang mulus dengan alur kerja Agen otonom menggunakan DeepSeek V3.2 API
DeepSeek-V3.2 mencapai keseimbangan sempurna antara kedalaman penalaran dan kecepatan eksekusi, dirancang untuk mendukung interaksi harian yang mulus dan ekosistem agen otonom. Dengan latensi yang berkurang secara signifikan dan kontrol output yang dioptimalkan, model ini berfungsi sebagai mesin yang tangguh untuk orkestrasi tugas multi-langkah dan asisten AI tujuan umum. Baik dalam menerapkan otomatisasi skala perusahaan atau alat interaktif frekuensi tinggi, V3.2 memastikan pengalaman pengguna yang lancar, efisien, dan hemat biaya.
Penemuan Ilmiah yang Ketat & Verifikasi Formal dengan DeepSeek-V3.2-Speciale API
The DeepSeek-V3.2-Speciale API is engineered for tasks that demand absolute logical precision and multi-step reasoning. By integrating advanced theorem-proving capabilities, it enables researchers and engineers to execute complex mathematical inductions, verify formal logic, and solve high-tier competitive programming challenges. Perfect for academic R&D, automated code auditing, and cryptographic analysis, this API transforms abstract complexity into verifiable results with the performance of top-tier global models.
Advanced Algorithmic Synthesis & Strategic Reasoning using the DeepSeek-R1 API
DeepSeek-R1 empowers developers to build applications centered on deep cognitive workflows and strategic decision-making. Ranking at the forefront of global reasoning benchmarks, the R1 API excels in synthesizing sophisticated code architectures, processing dense technical documentation, and generating innovative solutions for open-ended logical puzzles. It is the ideal engine for AI-driven software engineering, long-form data synthesis, and any scenario where "thinking fast and slow" requires a powerful, reasoning-first foundation.
Orkestrasi Agen Otonom yang Mulus dengan DeepSeek-V3.2 API
For high-velocity, sensory-driven AI applications, the DeepSeek-V3.2 API provides the perfect equilibrium between reasoning depth and ultra-low latency. It is optimized for building autonomous Agents that can navigate multi-step workflows, manage real-time user interactions, and execute general-purpose tasks with GPT-5 level intelligence. This use case is tailor-made for enterprise-scale automation, intelligent customer ecosystems, and developers looking to deploy responsive, cost-effective AI assistants at scale.
Perbandingan Model
Lihat bagaimana model dari berbagai penyedia dibandingkan — bandingkan performa, harga, dan keunggulan unik untuk membuat keputusan yang tepat.
| Model | Konteks | Output Maksimum | Masukan | Pemosisian |
|---|---|---|---|---|
| DeepSeek V3.2 | 163.84K | 163.84K | Text | Unggulan Umum |
| DeepSeek V3.2 Speciale | 163.84K | 163.84K | Text | Kustom Performa Tinggi |
| DeepSeek V3.2 Exp | 163.84K | 163.84K | Text | Build Eksperimental |
| DeepSeek-V3.1 | 131.07K | 65.54K | Text | Backbone open-source |
| DeepSeek V3.1 Terminus | 131.07K | 65.54K | Text | Stabil Jangka Panjang (LTS) |
| DeepSeek-V3-0324 | 131.07K | 32.77K | Text | Cuplikan Historis |
| DeepSeek-R1-0528 | 131.07K | 131.07K | Text | Penalaran Tingkat Atas |
| DeepSeek OCR | 8.19K | 8.19K | Text | Multimoda Terdedikasi |
| GLM-5 | 200K | 128K | Text | Model fondasi unggulan |
| MiniMax-M2.5 | 204.8K | 196.6K | Text | Pemrograman Agentic SOTA |
How to Use DeepSeek LLM Models on Atlas Cloud
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Mengapa Menggunakan DeepSeek LLM Models di Atlas Cloud
Gabungkan model DeepSeek LLM Models canggih dengan platform akselerasi GPU Atlas Cloud untuk performa, skalabilitas, dan pengalaman pengembangan yang tak tertandingi.
Performa & Fleksibilitas
Latensi Rendah:
Inferensi yang dioptimalkan GPU untuk respons real-time.
API Terpadu:
Satu integrasi untuk DeepSeek LLM Models, GPT, Gemini, dan DeepSeek.
Harga Transparan:
Billing per token, mendukung mode Serverless.
Enterprise & Skala
Pengalaman Developer:
SDK, analitik data, alat fine-tuning, dan template tersedia lengkap.
Keandalan:
Ketersediaan 99.99%, kontrol izin RBAC, logging kepatuhan.
Keamanan & Kepatuhan:
Sertifikasi SOC 2 Type II, kepatuhan HIPAA, kedaulatan data AS.
Pertanyaan yang Sering Diajukan tentang DeepSeek LLM Models
DeepSeek menawarkan transparansi open-source dan efisiensi biaya yang unggul. Dengan kemampuan penalaran (R1 & V3.2) yang menyaingi GPT-5, DeepSeek menyediakan alternatif berkinerja tinggi dan berbiaya lebih rendah dengan fleksibilitas penerapan (deployment) pribadi.
Ini mencerminkan total "kapasitas otak" model. Desain MoE DeepSeek menggabungkan jumlah total parameter yang masif (misalnya, 671B) untuk kecerdasan mendalam dengan jumlah "aktif" yang disederhanakan untuk efisiensi operasional maksimum.
Jelajahi Lebih Banyak Seri
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.
