DeepSeek V4.1 Flash (Max)
विवरण
DeepSeek-V4.1-Flash is an MIT-licensed multimodal Mixture-of-Experts model accepting images and text and generating text. It has 552B backbone parameters, 196B Engram conditional-memory parameters, and approximately 763B parameters in the released checkpoint. Its causal encoder-decoder architecture activates 8B parameters per token during prefill and 16B during decode. Trained on 45T multimodal tokens, it supports a 1M-token context, up to 384K output tokens on the DeepSeek API, and continuously adjustable reasoning effort from 1 to 100. CSA2 attention and FP4 KV caching reduce global KV cache storage to 890 bytes per token. The API model name is deepseek-flash. Catalog prices are peak rates per million tokens: $0.30 input, $0.006 cached input, and $1.20 output. Off-peak rates are $0.15, $0.003, and $0.60 respectively, effective September 10, 2026 at 04:00 UTC. Peak hours are 01:00–04:00 and 06:00–10:00 UTC on weekdays; all other times are off-peak (the launch pricing announcement also lists public holidays as off-peak).
क्षमता रडार
रैंकिंग
| डोमेन | #रैंक | स्कोर | स्रोत |
|---|---|---|---|
| एजेंटिक क्षमता | 67 | 46.0 | LS |
| कोडिंग रैंकिंग | 7 | 95.0 | AA |
| सामान्य रैंकिंग | 67 | 67.0 | AA |
| गणितीय तर्क | 20 | 93.0 | LB |
| मल्टीमॉडल रैंकिंग | 44 | 58.0 | LS |
| तर्क | 26 | 87.0 | LB |
| विज्ञान | 87 | 69.0 | AA |
बेंचमार्क स्कोर (LLM Stats)
(LLM Stats (zeroeval))Agents
Code
Math
Reasoning
Vision
AA मूल्यांकन सूचकांक
(Artificial Analysis)LLM Stats श्रेणी स्कोर
(LLM Stats (zeroeval))मूल्य निर्धारण
गति
प्रदाता मूल्य रैंकिंग
प्रदाता मूल्य रैंकिंग
9 प्रदाता
इस मॉडल के लिए विभिन्न API प्रदाताओं के मूल्य निर्धारण की तुलना करें।