DeepSeek AI Models on AtlasCloud
Atlas Cloud hosts the full DeepSeek lineup via the DeepSeek API: V3.2, V4, and R1. Models range from 128K to 1M token context, all open-source and pay-as-you-go.
DeepSeek is developed by DeepSeek. Atlas Cloud (operated by Atlas Cloud AI LLC) provides access to it and does not own it. All trademarks belong to their respective owners.
Large Language Models by DeepSeek
Power chat, reasoning, and agents at scale with leading large language models, served fast and affordably on Atlas Cloud.
DeepSeek Models API Pricing Details
Compare standard vs. our pricing across every DeepSeek model.
| Model | Standard Price (USD) | Our Price (USD) | Discount | |
|---|---|---|---|---|
| DeepSeek V4 Flash 0731 | $0.44/$1.32per 1M tokens1048.6K context | $0.44/$1.32M in/outper 1M tokens1048.6K context | — | View |
| DeepSeek V4 Pro | $1.74/$3.48per 1M tokens1048.6K context | $1.68/$3.38M in/outper 1M tokens1048.6K context | — | View |
| DeepSeek V4 Flash | $0.14/$0.28per 1M tokens1048.6K context | $0.14/$0.28M in/outper 1M tokens1048.6K context | — | View |
| DeepSeek V3.2 | $0.287/$0.431per 1M tokens163.8K context | $0.26/$0.38M in/outper 1M tokens163.8K context | — | View |
| DeepSeek V3.2 Exp | $0.287/$0.43per 1M tokens163.8K context | $0.27/$0.41M in/outper 1M tokens163.8K context | — | View |
| DeepSeek V3.1 | $0.574/$1.721per 1M tokens131.1K context | $0.3/$0.95M in/outper 1M tokens131.1K context | — | View |
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DeepSeek API Use Cases You Can Build on Atlas Cloud
DeepSeek's open-source models cover the full range from cost-efficient high-throughput tasks to frontier-level agentic coding with 1M context. Teams choose between V3.2, V4 Flash, and V4 Pro based on context requirements and task complexity.
Autonomous GitHub Issue Resolution
Engineering teams use DeepSeek V4 Pro to build coding agents that autonomously resolve real GitHub issues, including reading issue descriptions, tracing cross-file dependencies, writing fixes, and running tests. V4 Pro scores 80.6% on SWE-Bench Verified, within 0.2 points of Claude Opus 4.6, and is natively integrated with Claude Code, OpenCode, and OpenClaw agent frameworks. Switching to DeepSeek V4 on Atlas Cloud from a closed-source model requires only a base URL change in the existing SDK setup.
Full Codebase Analysis with 1M Context
Development teams use DeepSeek V4's 1M token context window to load an entire repository into a single API call for cross-file analysis, dependency tracing, and architecture review. V4 achieves 97% accuracy on multi-query Needle in a Haystack at full context length, meaning specific information embedded anywhere in a million tokens is reliably retrieved. At full 1M context, V4 Pro requires only 27% of the inference compute and 10% of the KV cache that V3.2 needs for the same task.
Self-hosted Deployment for Data-sensitive Workloads
Enterprise teams with compliance or data privacy requirements use DeepSeek's MIT license to self-host V4 Flash or V3.2 on their own infrastructure. This is an option that closed-source models like GPT-5 and Claude Opus cannot offer, and it eliminates API dependency for regulated industries. V4 Flash at 284 billion parameters and 13 billion active is the practical self-hosting target; V4 Pro requires a cluster.
Cost-efficient Closed Model Replacement
Teams switching from GPT-5 or Claude Opus use DeepSeek V3.2 as a drop-in replacement via the OpenAI-compatible endpoint on Atlas Cloud. V3.2 is priced at approximately $0.27 per million input tokens while matching GPT-5-level performance across most reasoning benchmarks. The same SDK code routes to DeepSeek with a single base URL change, making migration low-risk.
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Contact SalesFrequently Asked Questions about DeepSeek AI Models
DeepSeek V4 is the current generation flagship, released April 24, 2026, covering both general-purpose and reasoning workflows in a single model. R1 was a standalone reasoning model, but V4's thinking mode replaces it with the same chain-of-thought capability built directly in. The legacy deepseek-reasoner alias retires July 24, 2026, so new integrations should use V4 Pro with thinking mode enabled.
Engram Memory is an external knowledge retrieval system in DeepSeek V4, inspired by how the human brain's hippocampus stores and retrieves information. It uses locality-sensitive hashing to retrieve relevant knowledge at O(1) speed, rather than forcing the model to store all facts in its weights. This contributed to V4's multi-query Needle in a Haystack accuracy jumping from 84.2% in V3.2 to 97.0%.
Yes. DeepSeek V3.2, V4 Flash, and V4 Pro are all released under the MIT license, which permits commercial use, modification, and distribution. V4 Flash is practical to self-host on capable hardware. V4 Pro requires a cluster given its 1.6 trillion parameter size, so most teams use API access on Atlas Cloud instead.
V4 Pro is a 1.6 trillion parameter MoE model with 49 billion active parameters, built for complex reasoning, coding, and agentic tasks. V4 Flash is a 284 billion parameter model with 13 billion active, optimized for speed and cost efficiency on less demanding tasks. Both share the 1M token context window and the Engram Memory architecture.
DeepSeek V4 supports a native 1 million token context window for both Pro and Flash variants, with a maximum output of 393K tokens per response. DeepSeek V3.2 has a 128K context window. The 1M context in V4 makes it practical for full codebase analysis, large document processing, and extended agentic sessions in a single call.
Yes. DeepSeek V3.2 remains available on Atlas Cloud, priced at approximately $0.27 per million input tokens. It is a 685 billion parameter MoE model with 37 billion active parameters and a 128K context window, released under MIT license. It is a cost-effective choice for tasks that do not require V4's 1M context or Engram Memory.
DeepSeek V4 Pro resolves over 80.9% of real-world coding issues on SWE-Bench, targeting GPT-5-class performance. Multi-query long-context accuracy improved to 97.0% on Needle in a Haystack, up from 84.2% in V3.2. The V3.2 Speciale variant on Atlas Cloud additionally achieved gold-medal performance in IMO 2025 and IOI 2025 competition math.
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Seedance 2.5
Seedance 2.5 API is now available on Atlas Cloud! It gives developers ByteDance's newest video model. It generates up to 30 seconds of native video in a single pass from text, a single image, or as many as 50 multimodal references, with synchronized audio and in-frame multilingual text. On Atlas Cloud you reach it through one key, with subject consistency and improved physics keeping long shots coherent. (Update: Seedance 2.5 1080P API Is Available NOW!)
Wan 3.0
Wan 3.0 API is the next generation of Alibaba's Wan video family, built to push long-form generation, multi-reference control, and audiovisual quality to new heights. Atlas Cloud already hosts Wan 2.7, 2.6, and 2.5, and Wan 3.0 runs on the same unified key with no separate setup. Start building today. Scroll down to the showcase to see what Wan 3.0 can create.
MiniMax H3
MiniMax H3 is MiniMax’s video model family, spanning H3, H3 Max, and H3 Developer. Create from text, animate a first frame with an optional last frame, or preserve subjects from references. H3 and H3 Developer reach 2K, while H3 Max supports 480P and 768P clips lasting 5 to 15 seconds. Atlas Cloud adds OpenAI-compatible access and transparent pay-as-you-go pricing from $0.05 per second. Start building today.
Seedream 5.0 Pro
Seedream 5.0 Pro API gives developers ByteDance's controllable image editing model on Atlas Cloud. It places edits precisely with anchors and coordinates, separates images into editable layers, fuses multiple references, and matches exact colors and materials, with multilingual text at 2K and 3K. On Atlas Cloud you reach it through one key!
Seedance 2.0
The Seedance 2.0 API gives you production access to ByteDance's multimodal video model — quad-modal inputs (text, image, video, audio) and an industry-leading "Universal Reference" system that locks composition, camera movement, and character actions across shots. Integrate director-level control with one API call, a flat $0.09/s, instant key, and no waitlist — backed by enterprise-grade uptime and compliance. Seedance 2.0 Native 4K is now live!
GPT Image 2
The GPT Image 2 API gives developers access to OpenAI's latest image model, the successor to GPT Image 1.5. It generates and edits images with accurate text rendering across Latin and CJK scripts, plus strong composition for posters, mockups, and infographics. On Atlas Cloud you reach it through one unified API alongside 300+ models, with free credits, 99.99% uptime, and no OpenAI organization verification required.
Gemini Omni Flash
The gemini omni API brings Google DeepMind's natively multimodal Gemini Omni Flash family, including Gemini Omni 1.1 Flash, to developers. Create cinematic video with synchronized native audio, animate still images with precise start and end frame control, or revise existing footage through text guided edits that preserve untouched content. Atlas Cloud provides one OpenAI-compatible key, unified access, and transparent pay-as-you-go pricing. Start building today.
Grok Imagine
The Grok Imagine API covers xAI's image, video, and speech models, from Image 2.0 to Video 1.5 and xAI TTS v1. Render 1K or 2K stills across 14 aspect ratios, push a scene to 15 seconds of 1080p motion, steer shots with up to 7 reference images, or narrate them in 20 languages. Atlas Cloud runs every mode on one endpoint, priced pay-as-you-go from $0.02 per image and $0.05 per second. Start building today.
Google's most powerful creative models are all available on Atlas Cloud. Veo 3.1 delivers cinematic video generation, Nano Banana 2 powers high-fidelity image creation, and Gemini brings multimodal intelligence to every workflow. Access the full Google model suite through one API key with Day-0 availability and pay-as-you-go pricing.
Seedance 2.0 Mini
The Seedance 2.0 Mini API is the lightest, lowest-cost tier of ByteDance's Seedance video line, built for teams where throughput and unit cost matter more than maximum polish. Use it for batch generation, rapid prototyping, and draft passes, all through one OpenAI-compatible key on Atlas Cloud.
ByteDance
From cinematic video generation to high-fidelity image creation, ByteDance's most powerful models are live on Atlas Cloud. Run Seedance and Seedream at scale with the lowest inference pricing and zero infrastructure overhead.
Alibaba
Atlas Cloud brings together Alibaba's full model lineup under one API: Qwen for language and image tasks, Wan for video generation up to 1080p. Access every model pay-as-you-go with no subscriptions. The Alibaba API is available via a single base URL using your existing OpenAI-compatible client.
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