DeepSeek

DeepSeek R1레거시오픈소스

The open reasoning model that reshaped the frontier in early 2025.

#637출시일: 2025년 5월 27일·Open Weights·671B (37B active MoE)
text163.8K ctxreasoning
API providers순위표
Intelligence
5.4 #637
Top 91% tier
Output speed
60 t/s
TTFT ~0.8s · ITL 16.7 ms/tok
Blended price (3:1)
$0.478 /1M
In $0.27/M · Out $1.1/M
Context
163.8K
≈ 410 A4 pages · max out 16384

Quality Domain Radar

6-Axis Frontier Evaluation vs Category Average & Flagship

DeepSeek R1
Claude Mythos Preview (#1)
Average (68)
Coding (20)Mathematics (15)Hard Science (GPQA) (15)Agentic & Tool Use (20)Knowledge (MMLU) (5.4)Vision / Multimodal (25)

Radar axes are approximated from category scores where direct benchmark measurements are missing — see 평가 방법.

API deployment

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Throughput, TTFT and cache pricing across Groq, Cerebras, Together, DeepInfra, Fireworks, Bedrock and Azure.

GroqCerebrasTogether AIDeepInfraFireworks AIAWS BedrockAzure AI
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출처별 점수

카테고리별 점수

벤치마크 결과

모델 상세 정보

출시일
2025년 5월 27일
파라미터 수
671B (37B active MoE)
라이선스
Open Weights
컨텍스트 창
163,800 tokens
입력 가격
$0.27/M
출력 가격
$1.1/M
출력 속도
60 t/s
첫 토큰 생성 시간

Estimated monthly bill

Estimated monthly spend
$0.00
Calculating savings vs GPT-4o...

Cite & embed

GitHub Markdown badge
[![LLMPodium Rank](https://llmpodium.com/badge/deepseek-r1/rank.svg)](https://llmpodium.com/models/deepseek-r1)
BibTeX
@misc{llmpodium2026deepseekr1,
  title = {Benchmark Analysis and Intelligence Evaluation of DeepSeek R1},
  author = {LLMPodium Research},
  year = {2026},
  url = {https://llmpodium.com/models/deepseek-r1}
}

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대체 모델

성능, 가격 및 벤치마크 점수를 기반으로 한 DeepSeek R1의 주요 대체 모델.

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