Ministral 14B Instruct 2512 API

Mistral's Ministral 14B Instruct 2512, through an OpenAI-compatible API. Providers quote it on an open exchange, and each request goes to the offer with the lowest estimated charge that meets your rules.

Providers compete for each request. The exchange ranks the offers that meet your rules by estimated charge. It fixes your maximum charge before the first token, and you pay for the tokens that the model uses.
The OpenAI and Anthropic APIs. Use the OpenAI or Anthropic SDK that you have. Set the base URL and your key, and send ministral-14b-instruct-2512 as the model.
Your data rules. Send x-liquid-retention: none and only offers whose provider does not keep your content compete for the request.

Facts

Model name: ministral-14b-instruct-2512
Maker: Mistral
Context window: 262.1K tokens
Input price: $0.100 per million tokens
Output price: $0.400 per million tokens
Providers: 1 independent provider
Regions: us

Providers

Architect: us, $0.100 input and $0.400 output per million tokens, $0.100 cache read per million tokens, 262.1K tokens of context

Request

curl https://router.inference.ai.exchange/v1/chat/completions \
  -H "Authorization: Bearer $LIQUID_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "ministral-14b-instruct-2512",
    "messages": [{"role":"user","content":"Say hello."}]
  }'

Questions

What is Ministral 14B Instruct 2512?: Ministral 14B Instruct 2512 is a model from Mistral.
How much does Ministral 14B Instruct 2512 cost?: Offers now ask $0.100 per million input tokens and $0.400 per million output tokens. A job pays for the tokens it uses. The exchange picks the cheapest eligible offer.
What is the context length of Ministral 14B Instruct 2512?: The largest offer takes 262,144 input tokens. A smaller offer can take less. The exchange skips an offer that cannot take your message.
What can Ministral 14B Instruct 2512 do?: Its providers list Vision, Reasoning effort, JSON object, JSON schema, Frequency penalty, Logit bias, Log probabilities, Min-p sampling, Presence penalty, Repetition penalty, Seed, Stop sequences, Top-k sampling, Top-p sampling, Text, Tools.
What inputs and outputs does Ministral 14B Instruct 2512 support?: Text · Images → Text.
Which providers serve Ministral 14B Instruct 2512?: 1 independent provider quote it now, with 1 offer. The table above ranks them by the cost of a typical job.
How do I call Ministral 14B Instruct 2512?: Send "ministral-14b-instruct-2512" as the model in an OpenAI or Anthropic request. The API section links to setup steps for each client.
When was Ministral 14B Instruct 2512 listed?: The exchange first listed it on 10/10/2026. This is not its release date.

Ministral 14B Instruct 2512 API

Facts

Providers

Request

Questions

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