DeepSeek V4 Flash 0731 (Reasoning, Max Effort)
DeepSeekDeepSeek開源權重MIT · 商用許可
描述
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.
發布日期
2026-07-31
參數規模
284.0B
上下文長度
1.0M
支援模態
image, text
能力雷達圖
35
general
66
coding
91
reasoning
66
science
60
agents
50
multimodal
排行榜排名
基準測試分數 (LLM Stats)
(LLM Stats (zeroeval))Agents
Toolathlon
47.8%自報
Agents' Last Exam
25.2%自報
AutomationBench
25.1%自報
Code
CyberGym
76.7%自報
DSBench-FullStack
68.7%自報
DSBench-Hard
59.6%自報
DeepSWE
54.4%自報
NL2Repo
54.2%自報
Factuality
SimpleQA
34.1%自報
General
CSimpleQA
78.9%自報
Language
MMLU-Pro
86.2%自報
Long Context
MRCR 1M
78.7%自報
CorpusQA 1M
60.5%自報
Math
CodeForces
1.00 / 3000自報
HMMT Feb 26
94.8%自報
IMO-AnswerBench
88.4%自報
MathArena Apex
85.7%自報
Reasoning
LiveCodeBench
91.6%自報
GPQANYU + Cohere + Anthropic (2023)
88.1%自報
Terminal-Bench 2.1
82.7%自報
SWE-Bench Verified
79.0%自報
SWE-bench Multilingual
73.3%自報
BrowseCompOpenAI (2025)
73.2%自報
MCP Atlas
69.0%自報
Terminal-Bench 2.0Stanford × Laude Institute (2026)
56.9%自報
SWE-Bench ProPrinceton NLP (2024)
52.6%自報
Humanity's Last Exam
45.1%自報
AA 評測指數
(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
Terminalbench V4 012.1
LLM Stats 分類評分
(LLM Stats (zeroeval))Legal90
Physics90
Finance90
Healthcare90
Biology90
Chemistry90
Language80
Math80
Frontend Development80
Long Context70
Reasoning70
Search70
General70
Code70
Agents60
Tool Calling60
Vision50
Factuality30
定價
輸入價格$0.44 / 1M tokens
輸出價格$1.32 / 1M tokens
混合價格(3:1)$0.66 / 1M tokens
快取讀取價格$0.003 / 1M tokens
速度
Tokens/秒0.0
首Token延遲0.00s
首回答延遲0.00s
供應商價格排行
供應商價格排行
39 個供應商
最便宜: DeepInfra最貴: Kilo Gateway
供應商輸入輸出
1DeepInfra最便宜
$0
$0
2OpenRouter
$0.01
$1.28
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
比較該模型在不同 API 供應商之間的定價。