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Model details

DeepSeek R1

DeepSeek R1 is an open-source language model from the Chinese startup DeepSeek, designed around long-context reasoning in both English and Chinese. Third-party reporting places its capabilities at parity with leading closed foundation models on coding, math, and general reasoning tasks, with the built-in summary noting competitive performance against OpenAI's o1 series. The model is distributed under an MIT license, which has made the full weights freely available for commercial and academic experimentation and helped position R1 as a low-cost alternative to proprietary reasoning systems at the time of its January 2025 release.

A Fireworks AI technical deep-dive published on January 24, 2025 walks through R1's architecture, parameter layout, and a reinforcement-learning driven training pipeline, along with a family of distilled variants aimed at different deployment budgets. The combination of long-context handling, explicit reasoning focus, and open weights makes R1 a practical fit for coding assistants, math problem solving, multilingual research workflows, and teams migrating reasoning workloads off closed APIs while retaining transparent access to the underlying model.

Alibaba (China)deepseek-r1deepseek-thinking

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Provider
Alibaba (China)
Model key
deepseek-r1
Release date
Jan 1, 2025
Last updated
Jan 1, 2025
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.574
Output token cost
$2.294

Limits

Output tokens
16,384 tokens
Context window
131,072 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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