OpenAI LLM Models
OpenAI’s premier GPT model family leads the industry, highlighted by the GPT OSS 120B which achieves near-parity with OpenAI o4-mini on core reasoning benchmarks while running efficiently on a single 80GB GPU. Perfectly optimized for vibecoding and complex logic operations, this model balances top-tier intelligence with hardware accessibility for modern developers and AI-driven web development.
Jelajahi Model Terkemuka
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Apa Yang Membuat OpenAI LLM Models Menonjol
Atlas Cloud menyediakan model kreatif terdepan di industri yang terbaru untuk Anda.
Frontier Research
Cutting-edge models that set global benchmarks in reasoning, multimodality, and AI safety.
Cost-Efficient Performance
Optimized families like GPT-4.1 mini and GPT-5 nano balance accuracy, speed, and cost.
Developer Ecosystem
APIs powering millions of daily requests across diverse platforms and industries.
Flexible Model Sizes
Choice of flagship, mini, and nano models for every workload and budget.
Enterprise Reliability
SLAs, monitoring, and compliance-ready logging trusted by Fortune 500 companies.
Open Model Options
Access to open-source models (gpt-oss-20b, gpt-oss-120b) for transparency and customization.
Kecepatan puncak
Biaya terendah
| Model | Deskripsi |
|---|---|
| GPT OSS 120B | GPT OSS 120B adalah LLM berkinerja tinggi yang berpusat pada penalaran, mengintegrasikan arsitektur yang dioptimalkan dengan kemampuan pemrosesan konteks 131.07K yang tangguh; mencapai kesetaraan hampir setara dengan OpenAI o4-mini pada satu GPU 80 GB, model ini berfungsi sebagai mesin untuk pengembangan iteratif cepat, termasuk vibecoding dan pelaksanaan alur kerja kompleks berbasis logika. |
Fitur baru OpenAI 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.
Kepatuhan Instruksi yang Presisi melalui GPT OSS 120B
GPT OSS 120B menunjukkan kemampuan pengarahan yang luar biasa, mematuhi perintah sistem (system prompts) yang kompleks secara ketat untuk memastikan keandalan output yang mutlak. Dengan memanfaatkan arsitektur penyelarasan (alignment) yang telah disesuaikan (fine-tuned), pengguna dapat memaksakan format, batasan, dan nuansa gaya tertentu tanpa penyimpangan karakter (character drift) sedikit pun. Ini adalah pilihan pasti untuk agen otonom, ekstraksi data terstruktur, dan lingkungan produksi yang kritis terhadap misi.
Kedaulatan Komersial di bawah Lisensi Apache 2.0
GPT OSS 120B didistribusikan di bawah lisensi Apache 2.0, yang mengizinkan penggunaan komersial tanpa batas dan fine-tuning pribadi tanpa biaya per token. Berbeda dengan API sumber tertutup, model ini memungkinkan hosting lokal pada satu GPU 80 GB untuk menjaga data kepemilikan yang sensitif sepenuhnya on-premises. Kerangka kerja ini memberikan kebebasan hukum dan teknis untuk membangun, memodifikasi, dan menskalakan tumpukan perangkat lunak berbasis AI.
Logika Efisiensi Tinggi dan Vibecoding menggunakan GPT OSS 120B
Mencapai kesetaraan yang hampir sama dengan OpenAI o4-mini, model dengan 120B parameter ini unggul dalam menangani sintesis kode yang kompleks dan pembuktian matematis. Pengembang dapat memanfaatkan mesin penalarannya untuk "vibe coding"—menerjemahkan ide bahasa alami secara langsung menjadi aplikasi web fungsional melalui prompting berulang. Ini adalah solusi berkecepatan tinggi untuk men-debug logika bersarang dan mengatur alur kerja penjadwalan tugas yang canggih.
Yang Dapat Anda Lakukan dengan OpenAI LLM Models
Temukan kasus penggunaan praktis dan alur kerja yang dapat Anda bangun dengan keluarga model ini — dari pembuatan konten dan otomatisasi hingga aplikasi tingkat produksi.
Debugging Logika Mendalam dan Pembuatan Prototipe dengan GPT OSS 120B
GPT OSS 120B memungkinkan insinyur untuk memecahkan tantangan "vibecoding" dengan menerjemahkan ide arsitektur tingkat tinggi menjadi komponen Python atau React yang siap produksi. Mesin penalarannya menangani dependensi bersarang dan kasus tepi (edge cases) yang sering menyulitkan model mini, memastikan sintesis kode multi-langkah tetap berfungsi. Mendukung pembuktian algoritmik dan penjadwalan tugas yang kompleks, ini adalah alat yang sempurna untuk membangun MVP teknis, skrip QA otomatis, dan aplikasi web intensif data.
Alat Kepemilikan Offline Menggunakan GPT OSS 120B
Di bawah lisensi Apache 2.0, tim dapat menghosting GPT OSS 120B pada satu GPU 80 GB untuk memproses data internal yang sensitif tanpa risiko kebocoran cloud. Pengaturan ini memungkinkan fine-tuning lokal permanen pada basis kode internal khusus atau log medis tanpa biaya API per-token yang berulang. Ideal untuk alat internal berkeamanan tinggi dan bantuan AI offline, model ini memberikan kedaulatan bobot (weight sovereignty) penuh—mendukung sistem RAG pribadi dan tumpukan perangkat lunak berpemilik yang disesuaikan.
Ekstraksi Data Sempurna Skema dengan GPT OSS 120B
GPT OSS 120B memungkinkan pengembang untuk mengubah dokumen yang berantakan dan tidak terstruktur menjadi JSON atau Markdown yang diformat secara ketat tanpa "instruction drift". Dengan menambatkan jendela konteks 131.07K dengan aturan sistem yang kaku, model ini memastikan bidang tidak pernah berhalusinasi atau terlewatkan selama pemrosesan bentuk panjang. Ideal untuk otomatisasi CRM dan penandaan konten otomatis, model ini mempertahankan batasan logis di seluruh kumpulan data besar—mendukung integrasi API dan populasi basis data yang andal.
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 |
|---|---|---|---|---|
| GPT OSS 120B | 131.07K | 131.07K | Teks | LLM Penalaran Efisiensi Tinggi |
| GLM-5 | 202.75K | 202.75K | Teks | Model fondasi unggulan |
| DeepSeek V3.2 | 163.84K | 163.84K | Teks | Umum Unggulan |
| MiniMax-M2.5 | 204.8K | 196.6K | Teks | Pemrograman Berbasis Agen SOTA |
How to Use OpenAI 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
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Mengapa Menggunakan OpenAI LLM Models di Atlas Cloud
Gabungkan model OpenAI 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 OpenAI 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 OpenAI LLM Models
Ini mencapai hampir kesetaraan dengan OpenAI o4-mini pada tolok ukur penalaran inti dan matematika. Meskipun o4-mini adalah API tertutup, OSS 120B menawarkan kedalaman logika yang sebanding dengan manfaat tambahan berupa akses penuh ke bobot model.
Model ini dioptimalkan untuk satu GPU 80 GB, menghindari kerumitan multi-node. Namun, untuk skalabilitas instan dan tanpa pemeliharaan, kami menyarankan untuk mengaksesnya melalui API di Atlas Cloud.
Ya. Ini dirilis di bawah lisensi Apache 2.0, yang mengizinkan penggunaan komersial, modifikasi, dan distribusi tanpa batas tanpa biaya lisensi per token atau penguncian vendor (vendor lock-in).
Jendela konteks 131.07K dirancang untuk akurasi pengambilan data "jarum di tumpukan jerami". Model ini dapat memproses seluruh direktori proyek atau manual teknis 100+ halaman sambil mempertahankan konsistensi logis di seluruh input.
Sangat andal. Mesin penalarannya disetel (fine-tuned) untuk sintesis kode iteratif. Ia menangani komponen React bersarang dan backend Python yang kompleks dengan lebih andal daripada model kelas 70B standar, menjadikannya ideal untuk alur kerja bahasa-alami-ke-aplikasi.
Jelajahi Lebih Banyak Seri
Promote Models (Qwen)
Wan 2.7 Video 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.
Nano Banana 2 Image 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.
Seedream 5.0 Image 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.
Seedance 2.0 Video 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.
Kling 3.0 Video 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.
Vidu Video Models
Vidu, a joint innovation by Shengshu AI and Tsinghua University, is a high-performance video model powered by the original U-ViT architecture that blends Diffusion and Transformer technologies. It delivers long-form, highly consistent, and dynamic video content tailored for professional filmmaking, animation design, and creative advertising. By streamlining high-end visual production, Vidu empowers creators to transform complex ideas into cinematic reality with unprecedented efficiency.
Van Video Models
Built on the Wan 2.5 and 2.6 frameworks, Van Model is a flagship AI video series that delivers superior high-resolution outputs with unmatched creative freedom. By blending cinematic 3D VAE visuals with Flow Matching dynamics, it leverages proprietary compute distillation to offer ultra-fast inference speeds at a fraction of the cost, making it the premier engine for scalable, high-frequency video production on a budget.
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.
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.
Promote Models (Qwen)
Wan 2.7 Video 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.
Nano Banana 2 Image 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.
Seedream 5.0 Image 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.
Seedance 2.0 Video 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.
Kling 3.0 Video 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.
Vidu Video Models
Vidu, a joint innovation by Shengshu AI and Tsinghua University, is a high-performance video model powered by the original U-ViT architecture that blends Diffusion and Transformer technologies. It delivers long-form, highly consistent, and dynamic video content tailored for professional filmmaking, animation design, and creative advertising. By streamlining high-end visual production, Vidu empowers creators to transform complex ideas into cinematic reality with unprecedented efficiency.
Van Video Models
Built on the Wan 2.5 and 2.6 frameworks, Van Model is a flagship AI video series that delivers superior high-resolution outputs with unmatched creative freedom. By blending cinematic 3D VAE visuals with Flow Matching dynamics, it leverages proprietary compute distillation to offer ultra-fast inference speeds at a fraction of the cost, making it the premier engine for scalable, high-frequency video production on a budget.
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.
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.
