You can now try the deepseek v4 preview release. This version is a big step forward for AI models. The new million-token context window makes deepseek different from older models. This new feature lets you use much bigger datasets and harder documents. The release also gives open-source access and API use right away. You can start building and testing now, with no wait.
Key Takeaways
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DeepSeek V4 lets you use a million-token context. This means you can handle bigger datasets and still keep all the details.
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It is open-source and has an easy-to-use API. Developers can start building and testing right away. This helps people create new things in AI.
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You can pick Pro or Flash versions for your needs. Pro is for harder tasks. Flash gives faster answers and uses less power.
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DeepSeek V4 has better agentic abilities. It makes hard tasks simpler. You can manage many agents and collect information easily.
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The model does well in math and coding. It is as good as top closed models. This makes it useful for many things.
DeepSeek V4 Preview Release Overview
What’s New in DeepSeek V4 Preview
You can try the deepseek v4 preview now. It brings many new features. The deepseek v4 preview is special because it has better agentic abilities. It knows a lot about the world and can reason well. You get new ways to use the model with attention methods like token-wise compression and DeepSeek Sparse Attention. The deepseek v4 preview uses a million-token context as the default for all deepseek services. You get top efficiency because the model works well with long contexts and uses less computer power and memory. Special improvements help it work smoothly with AI agents like Claude Code, OpenClaw, and OpenCode.
The deepseek v4 preview is ahead of other open models in world knowledge. Only Gemini-3.1-Pro has more. You can expect great results in math, STEM, and coding. It matches closed-source models in these areas. The model works as well as V4-Pro for simple agent tasks. You get reliable answers for hard workflows.
Model Variants: Pro and Flash
You can pick between Pro and Flash when using deepseek v4 preview. The Pro version has 1.6 trillion total parameters and 49 billion activated parameters. The Flash version has 284 billion total parameters and 13 billion activated parameters. Both models let you use a context length of one million tokens. They use FP4 + FP8 mixed precision. You can choose the one that fits your needs best. Pick Pro for top performance or Flash for faster replies and less resource use.
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DeepSeek-V4-Pro is best for advanced tasks with many parameters.
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DeepSeek-V4-Flash is lighter and responds quickly with less resources.
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Both let you handle big documents or datasets without losing context.
Open-Source and API Is Available Today
You can use the deepseek v4 preview right away. The api is ready now, so you can start building and testing fast. The open-source status lets you change and improve the main technology. This helps developers where other options are hard to get or cost too much. You can try new things, make changes, and help the AI community.
Experts think the deepseek v4 preview is a big step for local AI. Local users get better choices and the market gets more competitive. The release helps people test and work together, making AI technology better.
You can see how quickly people are using deepseek v4 preview in the stats below:
You get lots of web visits, millions of downloads, and strong engagement. The deepseek v4 preview launched on April 24, 2026. It met high hopes from users and experts. You can join the community and use deepseek v4 for your projects.
Million-Token Context in DeepSeek V4
Image Source: unsplash
What Is Million-Token Context
Now you can use a million-token context in deepseek v4. This means you can work with much bigger documents or datasets. You do not have to break up your data or lose key details. Every deepseek service gives you this feature as a normal part. You do not pay extra or need a special plan for it. Other models do not give this big context by default, but deepseek v4 does.
Deepseek v4 uses a new attention method and DeepSeek Sparse Attention (DSA) to handle long contexts well. You can process more information using less memory and computer power.
User Benefits and Use Cases
You get many good things when you use deepseek v4 with a million-token context. The model helps you finish tasks that need reading and writing long texts. You can look at whole books, research papers, or big code projects at once. This makes deepseek v4 great for hard thinking, making documents, and writing code.
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You do not need fancy computers. The model works with big contexts without expensive machines.
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You get better results in writing, coding, and looking at data.
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You can study long texts, which helps you solve tough problems and make better plans.
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V4-Flash is now the main choice for lots of users. You get smart answers and a million-token context quickly and easily.
The very long context will be the normal setup for deepseek services. You can count on deepseek for your work with text, code, or data.
Technical Innovations
Deepseek v4 brings new ideas that make the million-token context work. You get these benefits each time you use the model.
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The design uses a new attention method that squeezes data along the token line.
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DeepSeek Sparse Attention (DSA) helps the model work better with long contexts and uses less computer power and memory.
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The model uses compressed sparse attention, which cuts down on key-value entries and picks the most important tokens.
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Strongly compressed attention makes things even faster for very long contexts.
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Mixture-of-Experts turns on only the parts needed for each token, saving resources.
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Manifold-constrained hyper-connections keep deep pathways steady, so the model works better.
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The Muon optimizer helps the model learn and train better.
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DeepSeek-V4-Flash is made for speed and uses fewer active parts. You get answers faster and pay less.
You do not have to worry about problems with bigger data. Deepseek v4 keeps attention working well with longer sequences, so you can use big data with no trouble.
You also save money. Deepseek v4 cuts down on computer and memory costs, so more people can use it. You can pick V4-Pro or V4-Flash. V4-Flash is the cheaper choice for most people. Many think deepseek v4 will help long-text work become common in business.
You can use the api to try these features now. Deepseek v4 sets a new level for context and smart ideas in AI models.
Agentic Capabilities and Architecture
Enhanced Agentic Features
With deepseek v4, you get better agentic abilities. The new models help you do tasks faster and easier. You can use function calling that works with up to 128 calls at once. This means you can collect info from many places at the same time. It helps you save time and get more done. The model lets you control many agents working together. Each agent does its own job in your project.
Deepseek v4 has special ways to think for each agent step. You get quick choices, clear answers, smart plans, and deep thinking for hard jobs. The million-token context window lets one agent remember the whole chat. You can work with many expert agents and not lose any details.
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Tool picking is fast for best results.
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Parameter finding gives you clear answers without extra steps.
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Planning and breaking down jobs need smart thinking for hard work.
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Code writing and fixing mistakes use deep thinking to make things better.
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Summing up results makes your answers easy to read.
You get special upgrades for agent skills. These changes make doing tasks smoother and more steady.
Under-the-Hood Upgrades
Deepseek v4 has many tech upgrades. The models use tricks to help agents work faster and smarter. The design lets you make lots of function calls and keeps memory use low. You can do big jobs without your computer slowing down.
The million-token context window gives you more space for info. You can keep long talks and big projects in memory. Deepseek v4 uses smart attention ways to stay fast. You get good results even with lots of data.
Deepseek v4 is now better for agentic skills. You can do tasks automatically, use many agents, and get top results in your work.
DeepSeek V4 vs. Competitors
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Performance and Cost Comparison
Deepseek v4 works really well when you compare it to US models. The deepseek v4 pro model is very good at math and coding. It does better than other open models and is almost as good as top closed models like GPT-5.4 and Gemini 3.1-Pro. The v4-Flash version is just as smart as deepseek v4 pro, but it is faster and uses less computer power. Both models are a good deal for the price.
Here is a quick look at how much each model costs for a million tokens:
| Model | Est. $/M tokens |
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| GPT-OSS 120B | ~$1.75 |
| DeepSeek V4 | ~$11.53 |
Deepseek v4 costs more, but you get better performance and a million-token context. The api lets you use these models for big projects and long documents.
DeepSeek V4 vs. Previous Models
This version is much better than older ones. Deepseek v4 pro is stronger in math and coding than earlier deepseek models. It has more params and can do harder jobs. The v4-Flash model gives fast answers and keeps costs down. Both models use new attention methods and mixture-of-experts to work better.
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Deepseek v4 pro is best for math and coding.
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It is only a little behind GPT-5.4 and Gemini 3.1-Pro.
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V4-Flash is as smart as deepseek v4 pro and replies faster.
You get more params and better context in this version. The models can handle bigger datasets and harder tasks.
Market Impact and Feedback
People in the market feel hopeful but careful about deepseek v4. Other Chinese AI companies feel more pressure now. The upgrade makes running the model cheaper and keeps it strong. Experts say the effect is not as big as the R1 model, but open-source means you can use and improve the models.
| Evidence Type | Details |
|---|---|
| Initial Response | The market feels hopeful but careful and sees more competition. |
| Upgrade Significance | The V4 model is a big upgrade and costs less to run. |
| Competitive Landscape | Experts think the effect is smaller than R1 because people expect more now. |
| Market Reaction | Other Chinese AI company stocks went down, showing more competition. |
You can help make the models better by giving feedback. The preview lets you test, review, and change the models. Developers use feedback to improve code and how well it works. Open-source lets you work with special code and share your ideas.
People think deepseek v4 preview will keep the trend started by R1. R1 surprised everyone by showing a Chinese model could compete. But experts say v4 will not shock the market like R1 did, because people are used to strong Chinese AI now. Open-source v4 means more people can use it in different areas, which could help AI grow faster in China and around the world.
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Ivan Su says v4 follows the path R1 started.
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Wei Sun thinks using homegrown chips in v4 could matter more than R1.
You get a version with strong performance, open-source access, and a million-token context. The preview lets you join in and help build better models for the future.
You can use DeepSeek V4 Preview now. It gives you a million-token context and lets you use the API right away. This helps open-source AI get better. You can work with big documents and hard tasks. Developers and users finish jobs faster. Chatbots become smarter and easier to use. Your feedback helps make the final version better. It also helps AI grow and improve.
What you say is important. You help make DeepSeek V4 better and push new ideas in AI.
FAQ
How do you access DeepSeek V4 Preview?
You can use the API right now. You also have open-source access. Visit the official DeepSeek website to get started. You do not need special hardware.
What is the million-token context used for?
You can process large documents, codebases, or datasets. This feature helps you analyze, summarize, or generate content without losing important details. It works well for research, coding, and business tasks.
Can you run DeepSeek V4 locally?
Yes, you can run DeepSeek V4 on your own machine. The open-source release lets you download and deploy the model. You do not need to rely on cloud services.
What are the main differences between Pro and Flash variants?
You choose Pro for top performance and complex tasks. Flash gives you faster replies and uses fewer resources. Both support a million-token context. Pick the one that fits your project needs.
