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DeepSeek
deepseek/deepseek-v4.1-flash:batchCatalogue: Indexed in the reference catalogue; nothing on this deployment answers as this model yet.
Published by the vendor; the platform bills at the target's declared price.
DeepSeek 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...
DeepSeek V4.1 Flash (batch) earns a request when it needs step-by-step reasoning, tool calls, very long inputs; a short, general request would go to MiniMax M3.1 Flash (free) instead - free per million input tokens against $0.05 here; and the hardest requests, where the quality floor rules it out, to Claude Opus 5.5 (batch). Your rules decide the floor; the trace shows the comparison for every request.
Lower input price and an intelligence index within 5 points.
Nothing on this deployment answers as this model yet. Connect your own provider under Model providers, or add a target to your catalogue - the router picks it up without retraining.
# targets.yaml - declare a target that runs DeepSeek V4.1 Flash (batch)
targets:
- id: deepseek-v4-1-flash-batch
kind: llm
name: DeepSeek V4.1 Flash (batch)
metadata:
model: deepseek/deepseek-v4.1-flash:batch # links the target to this catalogue entry
capabilities:
domains: [general]
supports_tools: true
context_window: 1048576
cost:
usd_per_1k_tokens: 0.000100Input list price per million tokens; DeepSeek V4.1 Flash (batch) is the 5th cheapest of 13 listed.
Photo: RDNE Stock project
Cached input reads $0.004 per 1M · weights on Hugging Face as deepseek-ai/DeepSeek-V4.1-Flash
A higher intelligence index, best first, with the price it comes at.
Other models by the same vendor in the catalogue.
The catalogue prints input and output prices and what three typical monthly workloads cost on each.
