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DeepSeek V4 Flash 0731 (Reasoning, Max Effort)

DeepSeekDeepSeekOpen WeightMIT · Uso Comercial

Descripción

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.

Fecha de lanzamiento
2026-07-31
Parámetros
284.0B
Longitud del contexto
1.0M
Modalidades
text

Radar de capacidades

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

Rankings

Dominio#PosiciónPuntuaciónFuente
Capacidad agéntica74
45.0
LS
Ranking de codificación35
88.0
AA
Ranking general34
82.0
AA
Ciencia47
82.0
AA

Puntuaciones 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.

Índices de evaluación 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

Puntuaciones por categoría 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

Precios

Precio de entrada$0.14 / 1M tokens
Precio de salida$0.28 / 1M tokens
Precio mixto (3:1)$0.175 / 1M tokens
Precio de lectura caché$0.0028 / 1M tokens

Velocidad

Tokens/seg109.1
Retraso del primer token0.96s
Tiempo hasta la respuesta19.29s

Ranking de Precios por Proveedor

Ranking de Precios por Proveedor

8 proveedores

Más barato: DeepSeekMás caro: TensorX
ProveedorEntradaSalida
1DeepSeekMás barato
$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

Comparar precios entre diferentes proveedores de API para este modelo.

Fuentes externas