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DeepSeek V4 Flash 0731 (Reasoning, Max Effort)

DeepSeekDeepSeek开源权重MIT · 商用许可

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.

发布日期
2026-07-31
参数规模
284.0B
上下文长度
1.0M
支持模态
text

能力雷达图

49
general
66
coding
91
reasoning
66
science
60
agents
0
multimodal

排行榜排名

领域#排名分数来源
智能体能力模型榜74
45.0
LS
代码能力榜35
88.0
AA
通用能力榜34
82.0
AA
科学能力47
82.0
AA

基准测试分数 (LLM Stats)

(LLM Stats (zeroeval))

Agents

Terminal-Bench 2.182.7%自报
CyberGym76.7%自报
BrowseCompOpenAI (2025)73.2%自报
MCP Atlas69.0%自报
DSBench-FullStack68.7%自报
DSBench-Hard59.6%自报
Terminal-Bench 2.0Stanford × Laude Institute (2026)56.9%自报
DeepSWE54.4%自报
NL2Repo54.2%自报
SWE-Bench ProPrinceton NLP (2024)52.6%自报
Toolathlon47.8%自报
Agents' Last Exam25.2%自报
AutomationBench25.1%自报

Biology

GPQANYU + Cohere + Anthropic (2023)88.1%自报

Code

LiveCodeBench91.6%自报
SWE-Bench Verified79.0%自报
SWE-bench Multilingual73.3%自报

Factuality

SimpleQA34.1%自报

Finance

MMLU-Pro86.2%自报

General

CSimpleQA78.9%自报
MRCR 1M78.7%自报
CorpusQA 1M60.5%自报

Math

CodeForces1.00 / 3000自报
HMMT Feb 2694.8%自报
IMO-AnswerBench88.4%自报
MathArena Apex85.7%自报
Humanity's Last Exam45.1%自报

AA 评测指数

(Artificial Analysis)
Coding Index(Artificial Analysis)
69.1
Intelligence Index(Artificial Analysis)
51.8
Gpqa(NYU + Cohere + Anthropic (2023))
0.9
Terminalbench V2 1
0.8
Lcr(Artificial Analysis)
0.7
Scicode(UIUC + Argonne National Lab (2024))
0.5
Tau Banking
0.4
Hle(Center for AI Safety + Scale AI (2025))
0.4

LLM Stats 分类评分

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

定价

输入价格$0.14 / 1M tokens
输出价格$0.28 / 1M tokens
混合价格(3:1)$0.175 / 1M tokens
缓存读取价格$0.0028 / 1M tokens

速度

Tokens/秒109.1
首Token延迟0.96s
首回答延迟19.29s

供应商价格排行

供应商价格排行

8 个供应商

最便宜: DeepSeek最贵: TensorX
供应商输入输出
1DeepSeek最便宜
$0
$0
2OpenRouter
$0.08
$0.18
3NanoGPT
$0.14
$0.28
4Kilo Gateway
$0.14
$0.28
5Ambient
$0.14
$0.28
6Merge Gateway
$0.14
$0.28
7Vercel AI Gateway
$0.2
$0.4
8TensorX
$0.25
$0.3

比较该模型在不同 API 供应商之间的定价。

外部链接