# DeepSeek: DeepSeek V4.1 Flash (batch)

Provider: deepseek  
Category: llm  
Model ID: `deepseek/deepseek-v4.1-flash:batch`

DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters on input and 16B on...

## Specs

- Context length: 1048576 tokens
- Max output: 384000 tokens
- Modalities: text, image
- Released: 2026-09-10

## Pricing

- Input: $0.05 per million tokens
- Output: $0.15 per million tokens

## Providers

- **deepseek** — ctx 1048576, input $0.11/M, output $0.34/M

## Verdict

DeepSeek V4.1 Flash (batch) delivers strong performance at a fraction of typical frontier model costs — $0.11 input and $0.34 output per Mtok makes it roughly 10x cheaper than GPT-4o. The 1M token context window handles long documents comfortably, and batch processing trades latency for even lower costs on high-volume workloads. Trade-off: batch mode means you're queuing requests rather than getting instant responses, so this isn't for user-facing chat. Reach for this when you're processing large document sets overnight or running automated analysis where speed isn't critical.

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Last verified: 2026-10-19T02:30:34.239Z  
Canonical URL: https://switchy.build/directory/models/deepseek-v4-1-flash-batch