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DeepSeek V4 Flash 0731 (Reasoning, Max Effort)

DeepSeekDeepSeekOpen WeightMIT · Commercial OK

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.

Release Date
2026-07-31
Parameters
284.0B
Context Length
1.0M
Modalities
image, text

Capability Radar

35
general
66
coding
91
reasoning
66
science
60
agents
50
multimodal

Rankings

Domain#RankScoreSource
Agentic Capability102
34.0
LS
Code Ranking79
87.0
AA
General Ranking169
57.0
AA
Math Reasoning50
80.0
LB
Reasoning51
71.0
LB
Science88
76.0
AA

Benchmark Scores (LLM Stats)

(LLM Stats (zeroeval))

Agents

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

Code

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

Factuality

SimpleQA34.1%SR

General

CSimpleQA78.9%SR

Language

MMLU-Pro86.2%SR

Long Context

MRCR 1M78.7%SR
CorpusQA 1M60.5%SR

Math

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

Reasoning

LiveCodeBench91.6%SR
GPQANYU + Cohere + Anthropic (2023)88.1%SR
Terminal-Bench 2.182.7%SR
SWE-Bench Verified79.0%SR
SWE-bench Multilingual73.3%SR
BrowseCompOpenAI (2025)73.2%SR
MCP Atlas69.0%SR
Terminal-Bench 2.0Stanford × Laude Institute (2026)56.9%SR
SWE-Bench ProPrinceton NLP (2024)52.6%SR
Humanity's Last Exam45.1%SR

AA Evaluation Indices

(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 Category Scores

(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

Pricing

Input Price$0.44 / 1M tokens
Output Price$1.32 / 1M tokens
Blended Price (3:1)$0.66 / 1M tokens
Cache Read Price$0.003 / 1M tokens

Speed

Tokens/sec0.0
Time to First Token0.00s
Time to Answer0.00s

Provider Price Ranking

Provider Price Ranking

39 providers

Cheapest: DeepInfraMost Expensive: Kilo Gateway
ProviderInputOutput
1DeepInfraCheapest
$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

Compare pricing across different API providers for this model.

External Sources