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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

70
general
40
coding
90
reasoning
43
scienceest.
75
agents
0
multimodal

Science is estimated from LLM Stats science scores or reasoning when no dedicated science benchmarks are available.

Rankings

No ranking data available

Benchmark Scores (LLM Stats)

(LLM Stats (zeroeval))

Biology

GPQANYU + Cohere + Anthropic (2023)49.1%SR

Code

LiveCodeBench37.6%SR

Math

MATH-50092.8%SR
AIME 202483.3%SR

AA Evaluation Indices

(Artificial Analysis)

No AA evaluation data available

LLM Stats Category Scores

(LLM Stats (zeroeval))
Math
90
Reasoning
70
General
70
Physics
50
Biology
50
Chemistry
50
Code
40

Pricing

No pricing data available

Speed

No speed data available

Provider Price Ranking

Provider Price Ranking

1 providers

ProviderInputOutput
1Alibaba (China)
$0.072
$0.144

Compare pricing across different API providers for this model.

External Sources