DeepSeek R1 Distill Qwen 1.5B
DeepSeekDeepSeek오픈 웨이트MIT · 상업적 사용 가능
설명
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.
출시일
2025-01-20
파라미터
1.8B
컨텍스트 길이
—
모달리티
—
능력 레이더
12
general
7
coding
27
reasoning
8
science
21
agents
0
multimodal
랭킹
벤치마크 점수 (LLM Stats)
(LLM Stats (zeroeval))Math
MATH-500
83.9%자체 보고
AIME 2024
52.7%자체 보고
Reasoning
GPQANYU + Cohere + Anthropic (2023)
33.8%자체 보고
LiveCodeBench
16.9%자체 보고
AA 평가 지수
(Artificial Analysis)Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))68.7
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))26.9
Math Index(Artificial Analysis)22.0
Aime 25(MAA (Mathematical Association of America))22.0
Aime(MAA (Mathematical Association of America))17.7
Ifbench(Google Research (2023))13.2
Gpqa(NYU + Cohere + Anthropic (2023))9.8
Livecodebench(UC Berkeley + MIT + Cornell (2024))7.0
Intelligence Index(Artificial Analysis)5.5
Hle(Center for AI Safety + Scale AI (2025))3.1
Lcr(Artificial Analysis)1.7
LLM Stats 카테고리 점수
(LLM Stats (zeroeval))Math70
Reasoning50
General50
Physics30
Biology30
Chemistry30
Code20
가격
입력 가격무료
출력 가격무료
혼합 가격 (3:1)무료
속도
토큰/초0.0
첫 토큰 지연0.00s
첫 응답 지연0.00s
공급자 가격 순위
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