DeepSeek
DeepSeek V4.1 Flashओपन
DeepSeek V4.1 Flash is an open-weights MoE reasoning model with 552B total (16B active) parameters, 1.0M context, and chain-of-thought problem solving.
Intelligence
54.5 #317
AAQI 40.0
Output speed
214.4 t/s
TTFT 1.21 s · ITL 4.7 ms/tok
Blended price (3:1)
$0.18 /1M
In $0.3/M · Out $1.2/M
Context
1.0M
≈ 2,500 A4 pages · max out 32768
Quality Domain Radar
6-Axis Frontier Evaluation vs Category Average & Flagship
DeepSeek V4.1 Flash
Claude Mythos Preview (#1)
Average (68)
Radar axes are approximated from category scores where direct benchmark measurements are missing — see कार्यप्रणाली.
API deployment
Compare hosts & latency
Throughput, TTFT and cache pricing across Groq, Cerebras, Together, DeepInfra, Fireworks, Bedrock and Azure.
GroqCerebrasTogether AIDeepInfraFireworks AIAWS BedrockAzure AI
Groq
Cerebras
Together AI
DeepInfra
Fireworks AI
AWS Bedrock
Azure AIस्रोत के अनुसार स्कोर
श्रेणी के अनुसार स्कोर
बेंचमार्क परिणाम
मॉडल विवरण
रिलीज़ तिथि
10 सित॰ 2026
पैरामीटर
552B (16B active)
लाइसेंस
Open Weights
कॉन्टेक्स्ट विंडो
1,000,000 tokens
इनपुट कीमत
$0.3/M
आउटपुट कीमत
$1.2/M
आउटपुट गति
214 t/s
पहले टोकन तक का समय
1.21 s
Estimated monthly bill
Estimated monthly spend
$0.00
Calculating savings vs GPT-4o...
Cite & embed
GitHub Markdown badge
[](https://llmpodium.com/models/deepseek-v4-1-flash)BibTeX
@misc{llmpodium2026deepseekv41flash,
title = {Benchmark Analysis and Intelligence Evaluation of DeepSeek V4.1 Flash},
author = {LLMPodium Research},
year = {2026},
url = {https://llmpodium.com/models/deepseek-v4-1-flash}
}More from DeepSeek
वैकल्पिक मॉडल
क्षमता, मूल्य और बेंचमार्क स्कोर के आधार पर DeepSeek V4.1 Flash के निकटतम विकल्प।