DeepSeek V4 Flash Vision

DeepSeek · 发布于 2026年8月21日

DeepSeek DeepSeek V4 Flash Vision model with 1.0M context window, optimized for advanced reasoning and multimodal tasks.

textimage1.0M ctx284 billion
65.0
Podium 综合得分
第 201 名 / 共 693 个
Intelligence Rank
65.0#201
AAQI: 30.0
Output Speed
120 t/s
TTFT: ~1.08s · ITL: 8.3 ms/tok
Blended Price (3:1)
$0.66 /1M
In: $0.44/M · Out: $1.32/M · Cache: $0.044
Context Capacity
1.0M
≈ 2,500 A4 Pages (Max Out: 16384)

Quality Domain Radar

6-Axis Frontier Evaluation vs Category Average & Flagship

DeepSeek V4 Flash Vision
Claude Mythos Preview (#1)
Average (68)
Coding (63)Mathematics (39)Hard Science (GPQA) (45)Agentic & Tool Use (36)Instruction Following (67)Vision / Multimodal (36)
API Deployment

Compare Multi-Host Hosting & Latency

Benchmark inference speed, TTFT latency distributions, and prompt cache pricing across Groq, Cerebras, Together, DeepInfra, Fireworks, AWS Bedrock, and Azure.

View API Providers Matrix →

各榜单得分

分类能力得分

基准测试分项

模型详细参数

发布日期2026年8月21日
参数量284 billion
开源协议Proprietary
上下文窗口1,000,000 tokens
输入价格$0.44/M
输出价格$1.32/M
输出速度120 t/s
首Token延迟1 ms

💰 Estimated Monthly Bill & TCO Calculator

Estimated Monthly Spend
$0.00
Calculating savings vs GPT-4o...

🔖 Embed Badges & Citation Snippet

GitHub Markdown Badge
[![LLMPodium Rank](https://llmpodium.com/badge/deepseek-v4-flash-vision/rank.svg)](https://llmpodium.com/models/deepseek-v4-flash-vision)
BibTeX Citation
@misc{llmpodium2026deepseekv4flashvision,
  title = {Benchmark Analysis and Intelligence Evaluation of DeepSeek V4 Flash Vision},
  author = {LLMPodium Research},
  year = {2026},
  url = {https://llmpodium.com/models/deepseek-v4-flash-vision}
}

正面比较

最佳模型

model.alternatives_title

model.alternatives_desc

0 / 4 Models Selected