
DeepSeek What is Same
DeepSeek is a series of AI products and models operated by Hangzhou DeepSeek Artificial Intelligence Basic Technology Research Co., Ltd. and its affiliated companies. The V4 series was launched on April 24, 2026; V4.1-Flash, released on September 10, added native image understanding, and was further updated on October 17 to V4.1-Flash-1017, with simultaneous updates to the official website, app, and API. It is suitable for individuals and development teams that require long-document analysis, code development, and multi-step tool invocations.
Core Capabilities and Use Cases
- Images and Text with Extensive Context:V4.1-Flash can process images and text to generate text, supporting a context of up to one million tokens; it is suitable for organizing large datasets, interpreting charts, and analyzing problems using screenshots, and is not the same as an image-generation tool.
- Programming and Agents:It supports tool invocation, JSON output, and thinking modes, and can be used for code understanding, bug fixing, testing, and task automation. Version 1017 focuses on improving reasoning, programming, and visual tasks; the official release notes a reduction in task execution time and output length; actual benefits depend on the task, framework, and configuration.
- Deployment Options:You can use the official chat product directly, integrate via the API, or build your own service using the official open model. The MIT license covers the corresponding repository and model, but this does not mean that brand assets, hosting services, and third-party data are free of usage restrictions.
How to use
- surname Congofficial websiteGo to the chat page or download the official app, and describe your objective, provide background information, and specify your desired output format; start with a small task to test the results.
- Developers apply for an API key on the open platform and connect a compatible client to
https://api.deepseek.com, Model Selectiondeepseek-flash. If you need to continue your V4 Pro workflow, you can keep usingdeepseek-v4-pro. - When integrating the Code Assistant, follow the configuration instructions in the official documentation; if using DeepSeek Harness, we recommend upgrading to version 0.2.1-rc.1 or later. Permissions for tool execution, file writing, and deployment should still be configured, and changes should be reviewed.
Fees and Restrictions
The API is billed per token. During off-peak hours, Flash charges 1 yuan per million tokens for input (cache miss) or 0.02 yuan (cache hit), and 4 yuan for output; during peak hours, the rates are 2 yuan, 0.04 yuan, and 8 yuan, respectively. Peak hours are from 9:00 a.m. to 12:00 p.m. and 2:00 p.m. to 6:00 p.m. Beijing Time on weekdays, excluding Chinese statutory holidays. Search/Fetch is billed separately per successful request; server-side calls such as Harness will be billed starting at 12:00 a.m. on November 1, 2026. For details, seeOfficial Price List.
A lengthy context does not guarantee that every detail will be understood correctly; important facts, calculations, and generated code must be reviewed. For self-hosted deployments, you must evaluate the costs associated with weights, memory, and computing power; do not assume that “open weights” mean the model will run smoothly on a standard computer. V4 Pro is still available, but it does not support image understanding and cannot be used in conjunction with Flash’s capabilities.
How to Choose Among Similar Models
| mould | Focus and Applicable Tasks | Selecting Boundaries |
|---|---|---|
| DeepSeek V4.1-Flash | Image and Text Comprehension, Long Context, Programming, and Tool Workflows | Choose between the official API or open weights; if you build your own system, you are responsible for operations and maintenance. |
| GPT-6.1 Terra | Visual Reasoning, Computer Skills, and Writing | Tool calls use the Responses API; this requires a compatible execution environment. |
| Claude Sonnet 5.5 | Programming and Knowledge Work: Ideal for Claude's Workflow | The capacity and cost of managed services must be evaluated on a case-by-case basis. |
There is no one-size-fits-all ranking for all tasks. Compare accuracy, processing time, tool permissions, and total cost using the same real-world tasks, and then decide whether to use a single model or a combination of models.
Official Information
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