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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

領域#排名分數來源
智慧體能力模型榜102
34.0
LS
程式碼能力榜79
87.0
AA
通用能力榜169
57.0
AA
數學推理50
80.0
LB
推理能力51
71.0
LB
科學能力88
76.0
AA

基準測試分數 (LLM Stats)

(LLM Stats (zeroeval))

Agents

Toolathlon47.8%自報
Agents' Last Exam25.2%自報
AutomationBench25.1%自報

Code

CyberGym76.7%自報
DSBench-FullStack68.7%自報
DSBench-Hard59.6%自報
DeepSWE54.4%自報
NL2Repo54.2%自報

Factuality

SimpleQA34.1%自報

General

CSimpleQA78.9%自報

Language

MMLU-Pro86.2%自報

Long Context

MRCR 1M78.7%自報
CorpusQA 1M60.5%自報

Math

CodeForces1.00 / 3000自報
HMMT Feb 2694.8%自報
IMO-AnswerBench88.4%自報
MathArena Apex85.7%自報

Reasoning

LiveCodeBench91.6%自報
GPQANYU + Cohere + Anthropic (2023)88.1%自報
Terminal-Bench 2.182.7%自報
SWE-Bench Verified79.0%自報
SWE-bench Multilingual73.3%自報
BrowseCompOpenAI (2025)73.2%自報
MCP Atlas69.0%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 Exam45.1%自報

AA 評測指數

(Artificial Analysis)
Gpqa(NYU + Cohere + Anthropic (2023))
90.8
Lcr(Artificial Analysis)
79.7
Terminalbench V2 1
78.7
Coding Index(Artificial Analysis)
69.1
Scicode(UIUC + Argonne National Lab (2024))
50.3
Tau Banking
39.4
Hle(Center for AI Safety + Scale AI (2025))
38.6
Intelligence Index(Artificial Analysis)
34.3
Terminalbench V4 0
12.1

LLM Stats 分類評分

(LLM Stats (zeroeval))
Legal
90
Physics
90
Finance
90
Healthcare
90
Biology
90
Chemistry
90
Language
80
Math
80
Frontend Development
80
Long Context
70
Reasoning
70
Search
70
General
70
Code
70
Agents
60
Tool Calling
60
Vision
50
Factuality
30

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。

外部連結