DeepSeek-V4.1-Flash
Language modelOpen weightsCard summarizedThe smallest model in our new architecture family, with native visual understanding
Overview
V4.1 Flash
The smallest model in our new architecture family, with native visual understanding
- Cost
- $0.30 in
- Context
- 1M
- Input / output
- $0.30 / $1.20
- Max output
- 384K
- Knows up to
- —
- Released
- 10 Sep 2026
A multimodal Mixture-of-Experts model with 552B backbone parameters and a 1M-token context. A causal encoder-decoder design activates 8B parameters per token during prefill and 16B during decode, and KV cache compression cuts the global KV cache to about 1/4 of DeepSeek-V4-Flash. DeepSeek reports it beats DeepSeek-V4-Pro on most agentic benchmarks. p.1
deepseek-flash- Input / output per 1M
- $0.30 / $1.20
- Context window
- 1M
- Max output
- 384K
- Knows up to
- —
- Reasoning
- Configurable (thinking on by default; low / high / max)
- Weights
- Open · MIT
About this card. A model card is the maker's own account of a model: what it's for, how it was trained and tested, and where it falls short. This page condenses DeepSeek-AI's DeepSeek-V4.1-Flash: Pushing the Limits of KV Cache Compression. Every claim carries its source page.