# DeepSeek Chat (R1-based)

DeepSeek Chat (R1-based) is an AI model released by DeepSeek on Jan 20 2025. It has open weight.

## Facts

| Field | Value |
| --- | --- |
| Model | DeepSeek Chat (R1-based) |
| Developer | DeepSeek |
| Release date | Monday, Jan 20 2025 |
| Licensing | Open Weight |

## About DeepSeek Chat (R1-based)

DeepSeek R1, released January 20, 2025, matched OpenAI's o1 on reasoning benchmarks with fully open weights under an MIT license — and, unlike o1, exposed its complete chain of thought. Its training recipe was the real breakthrough: reasoning learned primarily through reinforcement learning on the V3 base, with the R1-Zero experiment showing reasoning could emerge from RL alone.

The release caused the single largest one-day market reaction in AI history, wiping hundreds of billions from US tech valuations as investors reassessed what frontier capability costs. Its distilled variants brought reasoning to consumer hardware, and the updated R1-0528 followed in May 2025.

## Questions and answers

### When was DeepSeek Chat (R1-based) released?

DeepSeek Chat (R1-based) was released by DeepSeek on Monday, Jan 20 2025.

### Who made DeepSeek Chat (R1-based)?

DeepSeek Chat (R1-based) was built by DeepSeek. Chinese AI lab known for efficient, open-weight models. Gained attention for strong performance at lower cost.

### Is DeepSeek Chat (R1-based) open source?

Partly. DeepSeek Chat (R1-based) is an open-weight model: the trained weights are free to download and run locally or on your own infrastructure, but the training data and code are not fully released and the license may restrict some commercial uses. It is not open source in the strict sense.

### What came before and after DeepSeek Chat (R1-based)?

DeepSeek's previous tracked release was DeepSeek V3 Chat on Dec 26 2024, 25 days earlier. It was followed by DeepSeek V3-0324 on Mar 24 2025.


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Canonical page: https://aireleasetracker.com/model/deepseek/deepseek-chat-(r1-based)
Full dataset: https://aireleasetracker.com/llms-full.txt · JSON: https://aireleasetracker.com/models.json
Source: AI Release Tracker (https://aireleasetracker.com). Benchmark scores are the figures published by the releasing lab at launch.