DeepSeek V4.1 Flash (Max)
Описание
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).
Радар способностей
Рейтинги
| Домен | #Место | Оценка | Источник |
|---|---|---|---|
| Агентные возможности | 67 | 46.0 | LS |
| Рейтинг кодинга | 7 | 95.0 | AA |
| Общий рейтинг | 66 | 67.0 | AA |
| Математическое мышление | 20 | 93.0 | LB |
| Мультимодальный рейтинг | 44 | 58.0 | LS |
| Рассуждения | 25 | 87.0 | LB |
| Наука | 86 | 69.0 | AA |
Оценки бенчмарков (LLM Stats)
(LLM Stats (zeroeval))Agents
Code
Math
Reasoning
Vision
Индексы оценки AA
(Artificial Analysis)Оценки категорий LLM Stats
(LLM Stats (zeroeval))Цены
Скорость
Рейтинг цен провайдеров
Рейтинг цен провайдеров
9 провайдеров
Сравнение цен разных API-провайдеров для этой модели.