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DeepSeek V4 Flash 0731 (Reasoning, Max Effort)

DeepSeekDeepSeekOpen WeightMIT · Usage Commercial

Description

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.

Date de sortie
2026-07-31
Paramètres
284.0B
Longueur du contexte
1.0M
Modalités
text

Radar de capacités

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

Classements

Domaine#RangScoreSource
Capacité agentique74
45.0
LS
Classement codage35
88.0
AA
Classement général34
82.0
AA
Science47
82.0
AA

Scores de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

Agents

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

Biology

GPQANYU + Cohere + Anthropic (2023)88.1%Aut.

Code

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

Factuality

SimpleQA34.1%Aut.

Finance

MMLU-Pro86.2%Aut.

General

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

Math

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

Indices d'évaluation AA

(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

Scores par catégorie LLM Stats

(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

Tarification

Prix d'entrée$0.14 / 1M tokens
Prix de sortie$0.28 / 1M tokens
Prix mixte (3:1)$0.175 / 1M tokens
Prix de lecture cache$0.0028 / 1M tokens

Vitesse

Tokens/sec109.1
Délai du premier token0.96s
Temps de réponse19.29s

Classement des Prix par Fournisseur

Classement des Prix par Fournisseur

8 fournisseurs

Moins cher: DeepSeekPlus cher: TensorX
FournisseurEntréeSortie
1DeepSeekMoins cher
$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

Comparer les prix entre différents fournisseurs API pour ce modèle.

Sources externes