Atlas Cloud is now an authorized U.S. reseller of Dreamina Seedance 2.5 and Seedream 5.0 Pro.Atlas Cloud is now an authorized U.S. reseller of Dreamina Seedance 2.5 and Seedream 5.0 Pro.
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.
Power chat, reasoning, and agents at scale with leading large language models, served fast and affordably on Atlas Cloud.
Compare standard vs. our pricing across every DeepSeek model.
| Model | Standard Price (USD) | Our Price (USD) | Discount | |
|---|---|---|---|---|
| DeepSeek V4.1 Flash 1017 | $0.3/$1.2per 1M tokens1048.6K context | $0.3/$1.2M in/outper 1M tokens1048.6K context | — | View |
| DeepSeek V4.1 Flash | $0.3/$1.2per 1M tokens1048.6K context | $0.3/$1.2M in/outper 1M tokens1048.6K context | — | View |
| DeepSeek V4 Pro 0813 | $1.32/$3.96per 1M tokens1048.6K context | $1.32/$3.96M in/outper 1M tokens1048.6K context | — | View |
| 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 |
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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.
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.
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.
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.
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.
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.
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 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 is MiniMax's multimodal video family for text, image, and reference guided creation. Across supported routes, it preserves subjects from reference media, offers flexible aspect ratios, and pairs generated sound with visuals through H3 Developer, with output profiles selected by endpoint. Atlas Cloud unifies the family behind one OpenAI-compatible key with transparent pay-as-you-go pricing from the standard rate of $0.038 per second. Start building today.
The gpt-image-2.5 family from OpenAI gives developers a choice of Flare and Sunburst for production image workflows. Render at arbitrary resolutions up to 3840x2160 and select from five quality tiers, including xhigh and max, to match specific output requirements. Atlas Cloud provides ready-to-use REST inference with no cold starts and standard pricing from $0.004 per generation. Start building today.
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 is ByteDance’s production video model for precise shot creation. Turn prompts into video, animate a first-frame image with optional last-frame guidance, or shape results with reference media and optional web search. Atlas Cloud brings these workflows into one unified API with transparent pay-as-you-go pricing and one OpenAI-compatible key. Start building today.
The Kling 3.0 API brings Kuaishou's flagship video suite to Atlas Cloud through one OpenAI-compatible key. It spans two models, Kling 3.0 for AI Director storytelling, multilingual lip-sync, and precise on-screen text, and Kling 3.0 Omni (O3) for subject and voice cloning from a short video or image. Both generate native audio in the same pass, with output up to 4K. Build cinematic narratives, global marketing, multilingual ads, and serialized character content on reliable infrastructure.
Grok Imagine Video gives developers access to xAI’s video family for creating, animating, extending, and editing clips. Generate 1 to 15 second videos from prompts, guide people, objects, or styles with up to seven reference images, and work at 480p or 720p. Atlas Cloud brings these capabilities together through OpenAI-compatible endpoints with transparent pay-as-you-go pricing. Start building today.
Vidu Q4 is Vidu's latest flagship video model, designed for image-to-video and reference-to-video generation. It can animate a single still image and create automatic scene transitions, giving developers two input paths for different product workflows. Atlas Cloud provides dedicated API endpoints with published parameter schemas at the verified standard price of $0.04 per second. Start building today.
Gemini Omni 1.1 Flash is Google DeepMind’s natively multimodal video family for flexible production workflows. Edit existing footage through text instructions, maintain visual consistency with up to 10 reference images and 3 video clips, or extend a shot in chainable segments to 40 seconds. Access every workflow on Atlas Cloud with one OpenAI-compatible API key, pay-as-you-go pricing, and Day-0 availability. Start building today.
Nano Banana 2.1 is Google's image model family built on Gemini 3.6 Flash. It delivers Pro-level generation and editing at Flash-level speed, supports natural-language edits and merges across 1 to 14 input images, and maintains consistency for up to 4 characters and 10 objects. Through Atlas Cloud, developers can access the family with one OpenAI-compatible key, reliable uptime, and Day-0 availability. Start building today.
Build with the Nano Banana 2 API, powered by Google's Gemini 3.1 Flash Image model. It generates native 4K visuals up to 4096x2304 with accurate text rendering and consistent characters across up to 14 reference images for both generation and editing. On Atlas Cloud you reach it through one unified API alongside 300+ models, with pricing from $0.04 per image, 99.99% uptime, and free credits to start.
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