DeepSeek-R2

Name: DeepSeek-R2
Author: DeepSeek

by DeepSeekDeepSeek

Open WeightModel weights are publicly available — can be downloaded and self-hosted

context N/A

DeepSeek-R2 is an open-weight reasoning-focused model from DeepSeek, designed to think through problems step by step before producing answers. It continues the R-series tradition of extended chain-of-thought reasoning, making its problem-solving process more transparent than typical models. Specific capability details beyond its text-in, text-out reasoning orientation are limited at this time.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Multimodal

Moderate

Long Context

Moderate

Multilingual

Use Case Fit

Fit scores are AI-generated based on model capabilities, intended use, and technical specifications. Learn more

DeepSeek-R2

by DeepSeekDeepSeek

Open WeightModel weights are publicly available — can be downloaded and self-hosted

context N/A

DeepSeek-R2 is an open-weight reasoning-focused model from DeepSeek, designed to think through problems step by step before producing answers. It continues the R-series tradition of extended chain-of-thought reasoning, making its problem-solving process more transparent than typical models. Specific capability details beyond its text-in, text-out reasoning orientation are limited at this time.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Multimodal

Moderate

Long Context

Moderate

Multilingual

Use Case Fit

Fit scores are AI-generated based on model capabilities, intended use, and technical specifications. Learn more

Glossary

Chain-of-ThoughtA reasoning technique where an AI model shows its step-by-step thinking process before arriving at a final answer, making its logic transparent and verifiable.Chain-of-Thought ReasoningA technique where a model works through a problem step by step, showing its reasoning process before arriving at a final answer.Problem-SolvingThe model's capacity to analyze difficult questions or technical challenges and work toward accurate, well-reasoned solutions.ReasoningThe model's ability to work through multi-step logical problems and provide justified answers rather than just pattern-matching.Reasoning-FocusedA model specifically trained to work through multi-step logical problems methodically rather than generating quick responses.Text-In, Text-OutA model that accepts text as input and produces text as output, without support for images, audio, or other data types.