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Mistral AI
mistralai/ministral-14b-2512Catalogue: 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.
Mistral AI mistralai/ministral-14b-2512
The largest model in the Ministral 3 family, Ministral 3 14B offers frontier capabilities and performance comparable to its larger Mistral Small 3.2 24B counterpart. A powerful and efficient language...
Ministral 3 14B 2512 earns a request when it needs tool calls, very long inputs, image input; a short, general request would go to Nemotron 3.5 Super VL (free) instead - free per million input tokens against $0.20 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 Ministral 3 14B 2512
targets:
- id: ministral-14b-2512
kind: llm
name: Ministral 3 14B 2512
metadata:
model: mistralai/ministral-14b-2512 # links the target to this catalogue entry
capabilities:
domains: [general]
supports_tools: true
context_window: 262144
cost:
usd_per_1k_tokens: 0.000200Input list price per million tokens; Ministral 3 14B 2512 is the 6th cheapest of 13 listed.
Photo: RDNE Stock project
Cached input reads $0.02 per 1M · weights on Hugging Face as mistralai/Ministral-3-14B-Instruct-2512
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.