DeepSeek V4 Flash 0731 (Reasoning, Max Effort)
DeepSeekDeepSeek오픈 웨이트MIT · 상업적 사용 가능
설명
DeepSeek-V4-Flash-Max is the maximum reasoning effort mode of DeepSeek-V4-Flash, a 284B-parameter MoE model with 13B activated parameters and a 1M-token context window. Sharing the V4 series' hybrid attention architecture (Compressed Sparse Attention combined with Heavily Compressed Attention), Manifold-Constrained Hyper-Connections, and Muon optimizer, V4-Flash-Max delivers reasoning performance comparable to V4-Pro when given a larger thinking budget while operating at a fraction of the parameter scale. It is pre-trained on more than 32T tokens and post-trained with a two-stage paradigm of domain-specific expert cultivation followed by on-policy distillation.
출시일
2026-07-31
파라미터
284.0B
컨텍스트 길이
1.0M
모달리티
image, text
능력 레이더
35
general
66
coding
91
reasoning
66
science
60
agents
50
multimodal
랭킹
벤치마크 점수 (LLM Stats)
(LLM Stats (zeroeval))Agents
Toolathlon
47.8%자체 보고
Agents' Last Exam
25.2%자체 보고
AutomationBench
25.1%자체 보고
Code
CyberGym
76.7%자체 보고
DSBench-FullStack
68.7%자체 보고
DSBench-Hard
59.6%자체 보고
DeepSWE
54.4%자체 보고
NL2Repo
54.2%자체 보고
Factuality
SimpleQA
34.1%자체 보고
General
CSimpleQA
78.9%자체 보고
Language
MMLU-Pro
86.2%자체 보고
Long Context
MRCR 1M
78.7%자체 보고
CorpusQA 1M
60.5%자체 보고
Math
CodeForces
1.00 / 3000자체 보고
HMMT Feb 26
94.8%자체 보고
IMO-AnswerBench
88.4%자체 보고
MathArena Apex
85.7%자체 보고
Reasoning
LiveCodeBench
91.6%자체 보고
GPQANYU + Cohere + Anthropic (2023)
88.1%자체 보고
Terminal-Bench 2.1
82.7%자체 보고
SWE-Bench Verified
79.0%자체 보고
SWE-bench Multilingual
73.3%자체 보고
BrowseCompOpenAI (2025)
73.2%자체 보고
MCP Atlas
69.0%자체 보고
Terminal-Bench 2.0Stanford × Laude Institute (2026)
56.9%자체 보고
SWE-Bench ProPrinceton NLP (2024)
52.6%자체 보고
Humanity's Last Exam
45.1%자체 보고
AA 평가 지수
(Artificial Analysis)Gpqa(NYU + Cohere + Anthropic (2023))90.8
Lcr(Artificial Analysis)79.7
Terminalbench V2 178.7
Coding Index(Artificial Analysis)69.1
Scicode(UIUC + Argonne National Lab (2024))50.3
Tau Banking39.4
Hle(Center for AI Safety + Scale AI (2025))38.6
Intelligence Index(Artificial Analysis)34.3
LLM Stats 카테고리 점수
(LLM Stats (zeroeval))Legal90
Physics90
Finance90
Healthcare90
Biology90
Chemistry90
Language80
Math80
Frontend Development80
Long Context70
Reasoning70
Search70
General70
Code70
Agents60
Tool Calling60
Vision50
Factuality30
가격
입력 가격$0.44 / 1M 토큰
출력 가격$1.32 / 1M 토큰
혼합 가격 (3:1)$0.66 / 1M 토큰
캐시 읽기 가격$0.003 / 1M 토큰
속도
토큰/초0.0
첫 토큰 지연0.00s
첫 응답 지연0.00s
공급자 가격 순위
공급자 가격 순위
39개 공급자
최저가: DeepInfra최고가: Kilo Gateway
공급자입력출력
1DeepInfra최저가
$0
$0
2OpenRouter
$0.018
$0.32
3Merge Gateway
$0.035
$0.07
4NanoGPT
$0.05
$0.16
5UnoRouter
$0.0625
$0.125
6DevPass (LLM Gateway)
$0.065
$0.116
7Vercel AI Gateway
$0.076
$0.153
8Ambient
$0.08
$0.18
9TokenGo
$0.098
$0.196
10Modelis
$0.0983
$0.1966
11routing.run
$0.112
$0.224
12CrofAI
$0.12
$0.21
13Perplexity Agent
$0.13
$0.26
14Venice AI
$0.138
$0.275
15Alibaba (China)
$0.14
$0.28
16ZenMux
$0.14
$0.28
17NovitaAI
$0.14
$0.28
18OpenCode Zen
$0.14
$0.28
19Neuralwatt
$0.14
$0.28
20HPC-AI
$0.14
$0.28
21Auriko
$0.14
$0.28
22EmpirioLabs AI
$0.14
$0.28
23OrcaRouter
$0.147
$0.295
24DeepSeek
$0.15
$0.6
25OpenCode Go
$0.15
$0.6
26Vivgrid
$0.15
$0.3
27Eden AI
$0.15
$0.6
28above.dev
$0.165
$0.66
29Azure
$0.19
$0.51
30Impossibl
$0.19
$0.51
31Charm Hyper
$0.2
$0.4
32Ollama Cloud
$0.22
$0.66
33TensorX
$0.25
$0.3
34Opper
$0.25
$0.66
35CrossModel
$0.27
$1.08
36Requesty
$0.28
$0.56
37Ofox
$0.308
$0.924
38IteraCompute
$0.34
$1.05
39Kilo Gateway
$0.44
$1.32
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