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DeepSeek R1 Distill Qwen 7B

DeepSeekDeepSeekOpen WeightMIT · Commercial OK

Description

DeepSeek-R1 is the first-generation reasoning model built atop DeepSeek-V3 (671B total parameters, 37B activated per token). It incorporates large-scale reinforcement learning (RL) to enhance its chain-of-thought and reasoning capabilities, delivering strong performance in math, code, and multi-step reasoning tasks.

Release Date
2025-01-20
Parameters
7.6B
Context Length
Modalities

Capability Radar

40
general
40
coding
90
reasoning
43
scienceest.
0
agents
0
multimodal

Science uses a reasoning proxy when dedicated science benchmarks are unavailable.

Rankings

No ranking data available

Benchmark Scores (LLM Stats)

Biology

GPQA49.1%SR

Code

LiveCodeBench37.6%SR

Math

MATH-50092.8%SR
AIME 202483.3%SR

AA Evaluation Indices

No AA evaluation data available

LLM Stats Category Scores

Math
90
Reasoning
70
Biology
50
Chemistry
50
Physics
50
Code
40
General
40

Pricing

No pricing data available

Speed

No speed data available

Available Providers

(LS internal units)

No provider data available

External Sources