LLM Reference
OpenRouter

DeepSeek V4.1 Flash on OpenRouter

DeepSeek V4.1 · DeepSeek

ServerlessOpen Source

Last refreshed 2026-09-10. Next refresh: weekly.

Why use DeepSeek V4.1 Flash on OpenRouter?

OpenRouter offers DeepSeek V4.1 Flash with pay-as-you-go pricing at $0.15/1M input tokens. OpenRouter is a multi-provider LLM aggregator offering unified API access to 300+ models from all major labs and emerging providers, with automatic failover for reliability.

Compare DeepSeek V4.1 Flash across 2 providers to find the best fit for your use case
Input / 1M
$0.15
Output / 1M
$0.60
Cache
read $0.003
Batch
Not sourced

Setup recipe

Docs fallback
Install
Use the provider REST API or SDK
Auth
Create a provider API key
Call
model: deepseek/deepseek-v4.1-flash
Model ID
deepseek/deepseek-v4.1-flash

Request example

Curated snippets for this provider are not sourced yet. Use OpenRouter documentation with model ID deepseek/deepseek-v4.1-flash.

Gotchas

  • Use provider model ID "deepseek/deepseek-v4.1-flash", not the LLMReference slug "deepseek-v4.1-flash".

Compare DeepSeek V4.1 Flash Across Providers

ProviderInput (per 1M)Output (per 1M)
DeepSeek Platform$0.15$0.60
OpenRouter$0.15$0.60

Pricing

TypePrice (per 1M)
Input tokens$0.15
Output tokens$0.60

Capabilities

VisionMultimodalReasoningJSON / Tool useStructured OutputsPrompt Caching

About DeepSeek V4.1 Flash

DeepSeek V4.1 Flash is a 552B-parameter (8B prefill / 16B decode activated) mixture-of-experts model with Compressed Expert Dispatch (CED), released September 10, 2026 under the MIT license. It supports 1M-token context, up to 384K output tokens, multimodal vision input, reasoning, function calling, tool use, structured outputs, and prompt caching. Weights are available on Hugging Face. The DeepSeek API serves it as deepseek-flash; legacy API aliases deepseek-v4-flash and deepseek-v4-flash-vision-exp route to this model. Off-peak API pricing: $0.15/1M input, $0.60/1M output (cache read: $0.003/1M); peak hours are 2×.

Get Started

Model Specs

Released2026-09-10
Parameters552B
Context1m
ArchitectureMixture of Experts