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DeepSeek V3.1 (Non-reasoning)

DeepSeekDeepSeekOpen WeightMIT · Commercial OK

설명

DeepSeek-V3.1 is a hybrid model supporting both thinking and non-thinking modes through different chat templates. Built on DeepSeek-V3.1-Base with a two-phase long context extension (32K phase: 630B tokens, 128K phase: 209B tokens), it features 671B total parameters with 37B activated. Key improvements include smarter tool calling through post-training optimization, higher thinking efficiency achieving comparable quality to DeepSeek-R1-0528 while responding more quickly, and UE8M0 FP8 scale data format for model weights and activations. The model excels in both reasoning tasks (thinking mode) and practical applications (non-thinking mode), with particularly strong performance in code agent tasks, math competitions, and search-based problem solving.

출시일
2025-08-21
파라미터
671.0B
컨텍스트 길이
33K
모달리티
text

능력 레이더

41
general
39
coding
54
reasoning
47
science추정
30
agents
0
multimodal

전용 과학 벤치마크가 없을 때 Science는 추론 프록시를 사용하여 추정합니다.

랭킹

도메인#순위점수소스
Agents & Tools95
31.0
LS
Code Ranking138
52.0
AA
General Ranking208
49.0
AA
Math Reasoning183
50.0
AA
Reasoning88
49.0
LS
Science179
50.0
AA

벤치마크 점수 (LLM Stats)

Agents

Terminal-Bench31.3%자체 보고
BrowseComp30.0%자체 보고

Biology

GPQA74.9%자체 보고

Code

Aider-Polyglot68.4%자체 보고
SWE-Bench Verified66.0%자체 보고
LiveCodeBench56.4%자체 보고
SWE-bench Multilingual54.5%자체 보고

Factuality

SimpleQA93.4%자체 보고

Finance

MMLU-Pro83.7%자체 보고

General

MMLU-Redux91.8%자체 보고

Math

CodeForces0.70 / 3000자체 보고
AIME 202466.3%자체 보고
AIME 202549.8%자체 보고
HMMT 202533.5%자체 보고
Humanity's Last Exam15.9%자체 보고

Reasoning

BrowseComp-zh49.2%자체 보고

AA 평가 지수

Math Index
49.7
Coding Index
28.4
Intelligence Index
28.1
Mmlu Pro
0.8
Gpqa
0.7
Livecodebench
0.6
Aime 25
0.5
Lcr
0.5
Ifbench
0.4
Scicode
0.4
Tau2
0.3
Terminalbench Hard
0.2
Hle
0.1

LLM Stats 카테고리 점수

Factuality
90
Language
90
Finance
80
General
80
Healthcare
80
Legal
80
Biology
70
Chemistry
70
Frontend Development
70
Physics
70
Code
60
Math
60
Reasoning
60
Search
40
Agents
30
Vision
20

가격

입력 가격$0.555 / 1M tokens
출력 가격$1.67 / 1M tokens
혼합 가격 (3:1)$0.834 / 1M tokens

속도

토큰/초0.0 tokens/s
첫 토큰 지연0.00s
첫 응답 지연0.00s

사용 가능한 프로바이더

(LS 내부 단위)
프로바이더입력 가격출력 가격
Novita270K1.0M
DeepInfra270K1.0M

외부 링크