DeepSeek

DeepSeek V4.1 Flash开源

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.

#379发布于 2026年9月10日·Open Weights·552B (16B active)
textimage1.0M ctx推理
智商指数
54.5 #379
AAQI 40.0
输出速度
214 t/s
TTFT 1.21 s · ITL 4.7 ms/tok
混合价格 (3:1)
$0.18 /1M
输入 $0.3/M · 输出 $1.2/M
上下文
1.0M
≈ 2,500 页 A4 · 最大输出 32,768

Quality Domain Radar

6-Axis Frontier Evaluation vs Category Average & Flagship

DeepSeek V4.1 Flash
Claude Mythos Preview (#1)
Average (68)
Coding (52)Mathematics (68)Hard Science (GPQA) (58)Agentic & Tool Use (48)Knowledge (MMLU) (46)Vision / Multimodal (50)

缺少直接基准测量时,雷达图各轴由类别得分近似得出 — 详见 评分方法。

优势与取舍

优势所在

  • Open weights — self-host, fine-tune and audit with no vendor lock-in
  • 1.0M context — swallows whole repos, codebases or corpora in one pass
  • 214 tok/s output — fast enough for real-time agents
  • Very low blended price — $0.18/1M mixed tokens

杀手级用例

Deep research
Synthesis across broad knowledge domains with citation-grade recall.
Math & proof work
Step-verified reasoning for olympiad math, theorem proving and formal verification.
SWE-bench agents
Issue-to-PR resolution across multi-file repos — refactor, test and verify autonomously.

开发者快速上手与 API

请先设置 DEEPSEEK_API_KEY — 获取 API 密钥
curl https://api.deepseek.com/v1/chat/completions \
  -H "Authorization: Bearer $DEEPSEEK_API_KEY" \
  -H "content-type: application/json" \
  -d '{
    "model": "deepseek-v4-1-flash",
    "messages": [{"role": "user", "content": "Refactor this function for O(n) time and explain the change."}]
  }'

官方资源与链接

API 部署

对比托管商与延迟

Groq、Cerebras、Together、DeepInfra、Fireworks、Bedrock 与 Azure 的吞吐量、TTFT 和缓存定价。

GroqCerebrasTogether AIDeepInfraFireworks AIAWS BedrockAzure AI
查看提供商矩阵 →

各榜单得分

实时规格与架构

底层解析
Dense · 552B (16B active)
  • Switchable reasoning effort — trading latency and tokens for accuracy on hard problems.
  • Prompt caching supported — cached input reads at $0.03/1M tokens.
发布日期
2026年9月10日
架构
Dense · 552B (16B active)
参数量
552B (16B active)
开源协议
Open Weights
上下文窗口
1,000,000 tokens
最大输出
32,768 tokens
模态
text + image
缓存价格
读 $0.03 · 写 $0.35 /1M
推理
思考力度档位
输入价格
$0.3/M
输出价格
$1.2/M
输出速度
214 t/s
首Token延迟
1.21 s
数据更新
2026年9月12日

每月账单预估

每月预估支出
$0.00
正在计算相对 GPT-4o 的节省额…

引用与嵌入

GitHub Markdown 徽章
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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}
}

嵌入评分徽章

将实时 Podium 评分徽章添加到 GitHub 或 Hugging Face README —— 链接回实时排名。

预览
DeepSeek V4.1 Flash LLMPodium Score
Markdown
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