DeepSeek V4.1 Flash, released on September 10, 2026, is the current model. It has a one-million-token context window, can understand images, and combines the app’s former separate modes into one.
For this review, we assessed hosted chat, open weights, privacy, model migration, context, caching, and API pricing. We focused on convenience versus operational control.
The technology is genuinely impressive. DeepSeek R1 broke into the mainstream in January 2025 when it matched OpenAI’s o1 reasoning model on key benchmarks while being completely free and open-source. The company claimed it trained R1 in about two months for under $6 million while American labs spent billions. Whether those numbers are exact doesn’t change the result: the model is competitive with frontier Western models on reasoning and coding tasks.
The “thinking” feature is the standout. When you give DeepSeek R1 a hard problem, it shows you its reasoning chain before delivering the answer. You can literally watch it work through the logic: considering approaches, evaluating tradeoffs, catching its own errors. For learning, debugging, and understanding how to approach complex problems, this transparency is more valuable than the answer itself.
DeepSeek R1 remains important to the product’s history after breaking into the mainstream in January 2025. For current use, DeepSeek V4.1 Flash handles chat, reasoning, coding, long context, and image understanding. Use the current rates in the pricing block rather than the older $0.27 figure.
The web interface at chat.deepseek.com is completely free with no disclosed daily message limits, though it throttles during peak hours. There’s no paid consumer tier. The API gives 5 million free tokens on signup.
Now the part you can’t ignore. DeepSeek is a Chinese company. Its privacy policy allows data storage on servers in China, subject to Chinese data governance laws. That means government access requirements apply. This isn’t speculation or fearmongering, it’s what the privacy policy says. For coding practice, learning, general research, and non-sensitive tasks, the risk is low and the value is high. For client work, business data, legal documents, or personal information, use a Western model.
The interface is bare-bones. No voice mode, no image generation, no integrations with Drive or Notion, no persistent projects, no custom instructions in the way ChatGPT or Claude offer them. It’s a text box and a brain. Some people prefer that. Most will miss the polish.
Content restrictions exist on politically sensitive topics, particularly around Chinese politics and history. Ask about certain events and the model either refuses or gives a sanitized response. This is consistent and predictable rather than random.
DeepSeek can still hallucinate, so factual claims and generated code need to be checked before use.
