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DeepSeek-V4 is a new generation of flagship open source big language model officially released on April 24, 2026 by DeepSeek. It sets a new benchmark in the field of open source and domestic big models with its millions of ultra-long contexts, top performance and competitive price.
DeepSeek-V4 is not a single model, but provides two versions to meet the needs of different scenarios, both of which come standard with an ultra-long context processing capability of 1 million Token (about 750,000 Chinese characters).
| releases | core positioning | Parameter size (total/activated) |
|---|---|---|
| V4-Pro | flagship performance: Geared toward complex logic, deep thinking, and scenarios that require extreme performance. | 1.6T / 49B |
| V4-Flash | Ultimate price/performance ratio: Handles high-frequency, simple tasks, providing fast response and low cost. | 284B / 13B |
Main Functions and Features
- Millions of ultra-long contexts: The entire system comes standard with a 1 million Token context window, which can completely process an entire novel, a large project codebase, or a hundred pages of legal contracts at once, without segmentation and without loss of information.
- Strong reasoning and coding skills: Outperforms all publicly available open-source models to reach the top of the world in reasoning measures such as math, STEM (Science, Technology, Engineering, Math) and competition-level code. Its Agentic Coding capability has reached the best level of open source models.
- Deeply optimized Chinese language capabilities: Optimized specifically for the Chinese context, it is more in line with the expression habits of domestic users in terms of official document writing, copywriting and knowledge quiz.
- Full-stack localization adaptation: Deeply adapted to Huawei Ascend and other domestic AI chips, it has completed the ecological migration from CUDA to CANN, and is the only full-stack autonomous and controllable benchmark model in China.
- Flexible Reasoning Model: Supports a variety of reasoning strengths, including “Non-think” mode, which gives the answer directly, and “Think High” and “Think Max” modes, which are suitable for tasks of varying complexity. "deep thinking modes for tasks of varying complexity.
Core Advantages
- Technology Architecture InnovationThe new Hybrid Attention Architecture (CSA+HCA) significantly reduces the computation and graphics memory requirements for processing very long texts through compression and sparsification, making millions of contexts a standard for universal access.
- Ultimate price/performance ratio: API pricing is well below that of comparable closed-source models. For example, V4-Flash is priced at a few tenths of some competitors (e.g., GPT-4), dramatically lowering the barrier to use for individual developers and SMEs.
- Open Source and Autonomous Control: The model weights are open-sourced under the MIT protocol, allowing for commercial deployment and secondary development. Meanwhile, native support for domestic chips gives it a significant advantage in data security and private deployment.
- Top performance: In terms of code generation, mathematical reasoning, and other key capabilities, V4-Pro's performance has already matched and even surpassed top closed-source models such as GPT-5.4 and Claude Opus-4.6 in some reviews.
Usage Scenarios
-
V4-Pro (Flagship)
- Complex reasoning and analysis: Handles difficult math problems, scientific calculations, and complex logical deductions.
- Industrial-grade code development: Perform code generation, cross-file refactoring, and deep debugging for large projects.
- In-depth Knowledge Quiz: Answer questions that require a deep reservoir of world knowledge and specialized domain knowledge.
- Advanced Agent Tasks: Performs complex intelligent body tasks that require multi-step planning, tool invocation, and dynamic adjustment of strategies.
-
V4-Flash (light version)
- Daily office and content creation: Quickly generate copy, summarize documents, and have daily conversations.
- High-frequency API calls: Large-scale batch document processing or simple task automation in cost-sensitive scenarios.
- Lightweight code assistance: Quickly generate simple scripts, interface code or perform basic code completion.
How to use
DeepSeek-V4 offers a variety of ways to use it, from quick experience to professional development, with a very low threshold.
-
Web/App Experience (Zero Threshold)
- Visit the official DeepSeek website directly or use its mobile app.
- After registering and logging in, you can select “DeepSeek V4-Pro” or “DeepSeek V4-Flash” in the model list to have a free dialog experience.
-
API Calls (Developer Integration)
- Register on the DeepSeek Open Platform and get an API Key.
- The DeepSeek API is compatible with both OpenAI and Anthropic's interface formats, allowing developers to modify existing code by simply modifying the
base_urlcap (a poem)modelParameters can be switched seamlessly. - API endpoint:
https://api.deepseek.com - Model name:
deepseek-v4-promaybedeepseek-v4-flash
-
Local Deployment (Data Privacy Assurance)
- Since the model is open-sourced, users can deploy it locally for complete data privacy.
- Individual developers can use tools such as Ollama to quickly deploy a quantized version of V4-Flash (e.g., on a computer with a graphics card such as an RTX 4090).
- Enterprise users can deploy V4-Pro with full precision or quantization on servers equipped with multiple high-end GPUs (e.g., A100) or Huawei's Rise clusters, depending on their needs.
Product Comparison
Compared with international top closed-source models such as GPT-5.4 and Claude Opus-4.6, the advantages and gaps of DeepSeek-V4 are very clear.
| comparison dimension | DeepSeek-V4 Advantage | DeepSeek-V4 Gap |
|---|---|---|
| Long Text Processing | absolute advantage. 1 million Token contexts are standard, far ahead of the competition. | No significant gaps. |
| coding skills | partly led.. Scored #1 worldwide in competition programming and real-time programming reviews. | Slightly weaker support for niche languages like Rust and Go. |
| Cost and Deployment | huge advantageThe price is extremely low and supports open source and localized private deployments. The price is extremely low and supports open source and localized private deployments. | No significant gaps. |
| Chinese Language Proficiency | Remarkable Advantages. Deeply optimized for Chinese context, more natural expression. | No significant gaps. |
| complex inference | be on a par with the best.. Top performer on most math and logic rubrics. | Still about 3-6 months behind on ultra-high logic and complex Agent tasks. |
| general knowledge | broadest open source. The knowledge base is substantially ahead of other open source models. | Slightly inferior to the top closed-source model Gemini-3.1-Pro. |
All in all, DeepSeek-V4 is a model with overwhelming advantages in terms of long text, code, cost and localization. Although there is still a small gap between it and the top closed-source models in terms of extreme complex reasoning, its comprehensive strength is sufficient to meet the needs of the vast majority of individuals, developers and enterprises, and it is the current flagship choice for homegrown AI.
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