MODEL PROFILE

DeepSeek V4.1 Flash (batch)

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...

Text generationreasoningstructured_outputstools
Context window1,048,576 Token
Input → OutputText、Image → Text
Model weightsOpen weights
Profile updated2026/11/7 05:07:57
OVERVIEW

Model overview

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...

The summary below is compiled from sources by an AI model, not our own testing. Verify selection decisions against original sources and your workload.

Key features

  • Sparse mixture-of-experts architecture enabling dynamic parameter activation (8B on input, 16B on output)
  • First model built on DeepSeek's proprietary Causal Encoder-Decoder (CED) architecture
  • Supports multimodal inputs (text and image), with text-only outputs

Limitations & considerations

  • Output modality is text-only — no native image or audio generation capabilities
  • Batch inference mode only — not designed for real-time, single-request latency-sensitive use cases
  • Limited public documentation on reasoning depth, tool integration scope, or structured output schema constraints
PRICING & COST

Source prices & cost analysis

Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.

Source / channelInputOutputBilling unitCollected at
OpenRouter · deepseek/deepseek-v4.1-flash:batch ↗USD 0.05USD 0.15Per million tokens2026/11/2 06:25:22

Some channels offer cache discounts. Check the source for cache read, write and additional fees.

Estimate monthly base token costs

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Estimates exclude cache discounts, tiered pricing, multimodal surcharges, web search, taxes and additional reasoning output.

INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

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Frequently asked questions

What does 'Flash' signify in DeepSeek V4.1 Flash?

The 'Flash' designation reflects its optimized batch inference design and sparse MoE architecture for throughput efficiency, not a consumer-facing speed claim.

Does DeepSeek V4.1 Flash support multimodal output?

No — it accepts both text and image inputs but produces only text outputs.

Is DeepSeek V4.1 Flash suitable for interactive, low-latency applications?

No — it is explicitly labeled as a batch-mode model, indicating it is not intended for interactive or low-latency deployment.

Do open weights permit free commercial use?

Not necessarily. Check the version license, commercial conditions and usage policies. Self-hosting incurs compute and maintenance costs.

Are these real-time billing prices?

These are timestamped source snapshots, not live billing prices. Check the channel for current versions, regions, discounts and billing methods.

Sources & traceability

许可证:来源未披露,须进一步核验。模型介绍与第三方评测均以原来源的具体版本和方法为准。