DeepSeek V4 Flash 0731 (Reasoning, Max Effort)
DeepSeekDeepSeekオープンウエイトMIT · 商用利用可
説明
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.
リリース日
2026-07-31
パラメータ
284.0B
コンテキスト長
1.0M
モダリティ
image, text
能力レーダー
35
general
66
coding
91
reasoning
66
science
60
agents
50
multimodal
ランキング
ベンチマークスコア (LLM Stats)
(LLM Stats (zeroeval))Agents
Toolathlon
47.8%自己申告
Agents' Last Exam
25.2%自己申告
AutomationBench
25.1%自己申告
Code
CyberGym
76.7%自己申告
DSBench-FullStack
68.7%自己申告
DSBench-Hard
59.6%自己申告
DeepSWE
54.4%自己申告
NL2Repo
54.2%自己申告
Factuality
SimpleQA
34.1%自己申告
General
CSimpleQA
78.9%自己申告
Language
MMLU-Pro
86.2%自己申告
Long Context
MRCR 1M
78.7%自己申告
CorpusQA 1M
60.5%自己申告
Math
CodeForces
1.00 / 3000自己申告
HMMT Feb 26
94.8%自己申告
IMO-AnswerBench
88.4%自己申告
MathArena Apex
85.7%自己申告
Reasoning
LiveCodeBench
91.6%自己申告
GPQANYU + Cohere + Anthropic (2023)
88.1%自己申告
Terminal-Bench 2.1
82.7%自己申告
SWE-Bench Verified
79.0%自己申告
SWE-bench Multilingual
73.3%自己申告
BrowseCompOpenAI (2025)
73.2%自己申告
MCP Atlas
69.0%自己申告
Terminal-Bench 2.0Stanford × Laude Institute (2026)
56.9%自己申告
SWE-Bench ProPrinceton NLP (2024)
52.6%自己申告
Humanity's Last Exam
45.1%自己申告
AA評価指数
(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カテゴリスコア
(LLM Stats (zeroeval))Legal90
Physics90
Finance90
Healthcare90
Biology90
Chemistry90
Language80
Math80
Frontend Development80
Long Context70
Reasoning70
Search70
General70
Code70
Agents60
Tool Calling60
Vision50
Factuality30
価格設定
入力価格$0.44 / 1Mトークン
出力価格$1.32 / 1Mトークン
混合価格(3:1)$0.66 / 1Mトークン
キャッシュ読み取り価格$0.003 / 1Mトークン
速度
トークン/秒0.0
初トークン遅延0.00s
初回答遅延0.00s
プロバイダー価格ランキング
プロバイダー価格ランキング
39 プロバイダー
最安: DeepInfra最高: Kilo Gateway
プロバイダー入力出力
1DeepInfra最安
$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
このモデルの異なるAPIプロバイダー間の価格を比較。