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DeepSeek
deepseek/deepseek-v4-flash-0731Catalogue: 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-flash-0731
DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. This re-post-trained revision is suited for coding, reasoning, and agent workflows....
DeepSeek V4 Flash 0731 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 $0.04 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.
A higher intelligence index, best first, with the price it comes at.
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 Flash 0731
targets:
- id: deepseek-v4-flash-0731
kind: llm
name: DeepSeek V4 Flash 0731
metadata:
model: deepseek/deepseek-v4-flash-0731 # links the target to this catalogue entry
capabilities:
domains: [general]
supports_tools: true
context_window: 1048576
cost:
usd_per_1k_tokens: 0.000089Input list price per million tokens; DeepSeek V4 Flash 0731 is the 3rd cheapest of 13 listed.
Photo: RDNE Stock project
Cached input reads $0.001 per 1M · weights on Hugging Face as deepseek-ai/DeepSeek-V4-Flash-0731
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.
