DeepSeek
DeepSeek V4.1 Flashオープン
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 評価方法.
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 AIソース別スコア
カテゴリー別スコア
ベンチマーク結果
モデル詳細
リリース日
2026年9月10日
パラメータ数
552B (16B active)
ライセンス
Open Weights
コンテキストウィンドウ
1,000,000 tokens
入力価格
$0.3/M
出力価格
$1.2/M
出力速度
214 t/s
最初のトークンまでの時間
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
代替モデル
機能、価格、ベンチマークスコアに基づく DeepSeek V4.1 Flash の最適な代替モデル。