DeepSeek-R1
DeepSeek-R1 is a reasoning-focused text generation model from DeepSeek with a 64,000-token context window.
DeepSeek
DeepInfraChain-of-thought reasoning for complex problems
DeepSeek-R1 is a large language model developed by DeepSeek and released in January 2025. It is designed specifically for multi-step reasoning tasks, using a chain-of-thought approach that makes its reasoning process visible before producing a final answer. The model is served through DeepInfra on MindStudio and supports a context window of 64,000 tokens with a maximum response size of 8,000 tokens.
DeepSeek-R1 is particularly well-suited for tasks that require structured logical thinking, such as mathematical problem solving, scientific reasoning, and complex question answering. Its reasoning traces allow users to inspect the intermediate steps the model takes, which can be useful for debugging outputs or understanding how a conclusion was reached. The model is available as a flagship offering in the MindStudio catalog under the identifier deepseek-ai/DeepSeek-R1.
What DeepSeek-R1 supports
Chain-of-Thought Reasoning
Generates explicit reasoning traces before producing a final answer, making intermediate steps visible and inspectable.
Long Context Handling
Supports a 64,000-token context window, allowing it to process lengthy documents or multi-turn conversations in a single request.
Mathematical Problem Solving
Applies structured logical steps to solve multi-step math problems, a well-documented strength of the R1 model family.
Complex Text Generation
Produces detailed written responses up to 8,000 tokens, suitable for long-form answers, analysis, and technical explanations.
Code Reasoning
Reasons through programming problems step by step, supporting tasks like debugging, algorithm design, and code explanation.
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Get Started FreeBenchmark scores
Scores represent accuracy — the percentage of questions answered correctly on each test.
| Benchmark | What it tests | Score |
|---|---|---|
| MMLU-Pro | Expert knowledge across 14 academic disciplines | 84.9% |
| GPQA Diamond | PhD-level science questions (biology, physics, chemistry) | 81.3% |
| MATH-500 | Undergraduate and competition-level math problems | 98.3% |
| AIME 2024 | American math olympiad problems | 89.3% |
| LiveCodeBench | Real-world coding tasks from recent competitions | 77.0% |
| HLE | Questions that challenge frontier models across many domains | 14.9% |
| SciCode | Scientific research coding and numerical methods | 40.3% |
Common questions about DeepSeek-R1
What is the context window for DeepSeek-R1?
DeepSeek-R1 supports a context window of 64,000 tokens, with a maximum response size of 8,000 tokens per request.
Who developed DeepSeek-R1 and when was it released?
DeepSeek-R1 was developed by DeepSeek and released in January 2025. It is served on MindStudio through the DeepInfra provider.
What makes DeepSeek-R1 different from standard chat models?
DeepSeek-R1 is specifically designed for reasoning tasks. It generates chain-of-thought traces, showing its intermediate reasoning steps before delivering a final answer, which is distinct from models that only return a direct response.
Does DeepSeek-R1 support image or video inputs?
No. Based on the available metadata, DeepSeek-R1 does not support image or video analysis. It is a text-only model.
Is pricing information available for DeepSeek-R1 on MindStudio?
Published pricing for DeepSeek-R1 is not listed in the current metadata. You can check MindStudio's pricing page or contact support for current usage costs.
What people think about DeepSeek-R1
Community discussion around DeepSeek-R1 on r/LocalLLaMA has been largely positive, with users praising the model's reasoning capabilities and the quality of its updated releases. The May 2025 update (R1-0528) generated significant engagement, with multiple high-upvote threads highlighting strong performance across a range of tasks.
Some threads reflect enthusiasm about running the model locally given its open weights, while others note that the model's reasoning trace can be verbose, which may affect latency in production use cases. The R1-0528 update in particular drew attention for improvements over the original January 2025 release.
It's been one year since the release of Deepseek-R1
deepseek-ai/DeepSeek-R1-0528
DeepSeek R1 05 28 Tested. It finally happened. The ONLY model to score 100% on everything I threw at it.
DeepSeek: R1 0528 is lethal
Parameters & options
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