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DeepSeek-R1

Model family: DeepSeek
DeepSeek R1 prioritizes deliberate reasoning over chatty prose. Instead of jumping to an answer, it plans, checks intermediate results, and revises before replying, which makes it steady on multi-step math, formal logic, and non-trivial coding tasks. The model is instruction-tuned for clear, controllable behavior and can expose longer internal deliberation when you need extra reliability—at the cost of more tokens and time. It handles long contexts so it can read multi-document prompts or repository-scale code, and it integrates cleanly with production stacks through function/tool calling, schema-true JSON output, and streaming. Teams typically pair R1 with a faster sibling for everyday prompts, routing the hardest problems to R1 when correctness matters most.
Text Gen 7
Released: January 21, 2025

Overview

DeepSeek R1 is a reasoning-first large language model built to solve complex problems with explicit multi-step thinking. It excels at math, coding, and logical analysis, supports long context, tool/function calling, and structured JSON outputs, and can trade latency for higher accuracy via extended "thinking" budgets.

About DeepSeek

DeepSeek is a Chinese AI firm specializing in large language models, based in Hangzhou.

Industry: Artificial Intelligence
Company Size: 200
Location: Hangzhou, Zhejiang, CN
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Benchmark scores

How DeepSeek-R1 ranks on tracked AI benchmarks. Click any benchmark to see its full leaderboard.

79.8%
70.0%
97.3%
GPQA Diamond
Knowledge
71.5%
MMLU-Pro
Knowledge
84.0%
Compare across all benchmarks →

Tools using DeepSeek-R1

Last updated: April 6, 2026
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