DeepSeek V4 Flash 0731 (Max)
DeepSeekDeepSeekओपन वेटMIT · व्यावसायिक उपयोग
विवरण
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.
रिलीज़ तिथि
2026-07-31
पैरामीटर
284.0B
संदर्भ लंबाई
1.0M
मोडैलिटीज़
image, text
क्षमता रडार
35
general
66
coding
91
reasoning
66
science
60
agents
50
multimodal
रैंकिंग
| डोमेन | #रैंक | स्कोर | स्रोत |
|---|---|---|---|
| एजेंटिक क्षमता | 102 | 34.0 | LS |
| कोडिंग रैंकिंग | 81 | 87.0 | AA |
| सामान्य रैंकिंग | 171 | 57.0 | AA |
| गणितीय तर्क | 50 | 80.0 | LB |
| तर्क | 51 | 71.0 | LB |
| विज्ञान | 89 | 76.0 | AA |
बेंचमार्क स्कोर (LLM Stats)
(LLM Stats (zeroeval))Agents
Toolathlon
47.8%स्वयं
Agents' Last Exam
25.2%स्वयं
AutomationBench
25.1%स्वयं
Code
CyberGym
76.7%स्वयं
DSBench-FullStack
68.7%स्वयं
DSBench-Hard
59.6%स्वयं
DeepSWE
54.4%स्वयं
NL2Repo
54.2%स्वयं
Factuality
SimpleQA
34.1%स्वयं
General
CSimpleQA
78.9%स्वयं
Language
MMLU-Pro
86.2%स्वयं
Long Context
MRCR 1M
78.7%स्वयं
CorpusQA 1M
60.5%स्वयं
Math
CodeForces
1.00 / 3000स्वयं
HMMT Feb 26
94.8%स्वयं
IMO-AnswerBench
88.4%स्वयं
MathArena Apex
85.7%स्वयं
Reasoning
LiveCodeBench
91.6%स्वयं
GPQANYU + Cohere + Anthropic (2023)
88.1%स्वयं
Terminal-Bench 2.1
82.7%स्वयं
SWE-Bench Verified
79.0%स्वयं
SWE-bench Multilingual
73.3%स्वयं
BrowseCompOpenAI (2025)
73.2%स्वयं
MCP Atlas
69.0%स्वयं
Terminal-Bench 2.0Stanford × Laude Institute (2026)
56.9%स्वयं
SWE-Bench ProPrinceton NLP (2024)
52.6%स्वयं
Humanity's Last Exam
45.1%स्वयं
AA मूल्यांकन सूचकांक
(Artificial Analysis)Gpqa(NYU + Cohere + Anthropic (2023))90.8
Lcr(Artificial Analysis)79.7
Terminalbench V2 178.7
Coding Index(Artificial Analysis)69.1
Scicode(UIUC + Argonne National Lab (2024))50.3
Tau Banking39.4
Hle(Center for AI Safety + Scale AI (2025))38.6
Intelligence Index(Artificial Analysis)34.3
Terminalbench V4 012.1
LLM Stats श्रेणी स्कोर
(LLM Stats (zeroeval))Legal90
Physics90
Finance90
Healthcare90
Biology90
Chemistry90
Language80
Math80
Frontend Development80
Long Context70
Reasoning70
Search70
General70
Code70
Agents60
Tool Calling60
Vision50
Factuality30
मूल्य निर्धारण
इनपुट मूल्य$0.44 / 1M टोकन
आउटपुट मूल्य$1.32 / 1M टोकन
मिश्रित मूल्य (3:1)$0.66 / 1M टोकन
कैश पठन मूल्य$0.003 / 1M टोकन
गति
टोकन/सेकंड0.0
पहले टोकन में देरी0.00s
पहले उत्तर में देरी0.00s
प्रदाता मूल्य रैंकिंग
प्रदाता मूल्य रैंकिंग
39 प्रदाता
सबसे सस्ता: DeepInfraसबसे महंगा: Kilo Gateway
प्रदाताइनपुटआउटपुट
1DeepInfraसबसे सस्ता
$0
$0
2OpenRouter
$0.0045
$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
35Requesty
$0.28
$0.56
36CrossModel
$0.3
$1.2
37Ofox
$0.308
$0.924
38IteraCompute
$0.34
$1.05
39Kilo Gateway
$0.44
$1.32
इस मॉडल के लिए विभिन्न API प्रदाताओं के मूल्य निर्धारण की तुलना करें।