LiteLLMModels

Ministral 14B API Pricing

As of October 10, 2026, Ministral 14B costs $0.20 per 1M input tokens and $0.20 per 1M output tokens on Mistral AI, with cache reads at $0.02 per 1M tokens. It has a 262,144-token context window and returns up to 262,144 tokens per response.

By Mistral AIModel ID mistral/ministral-14b-2512Prices updated Checked
Input
$0.20 / 1M tokens
Output
$0.20 / 1M tokens
Cache read
$0.02 / 1M tokens
Context window
262,144 tokens
Max output
262,144 tokens
Providers
1
Added to LiteLLM
December 2025

Ministral 14B pricing by provider

2 listings across 1 provider. Token prices are in US dollars per 1M tokens. The highlighted row is the price quoted above.

ProviderModel name in LiteLLMInputOutputCache readContext
Mistral AIsnapshot 2512mistral/ministral-14b-2512$0.20$0.20$0.02256K
Mistral AIlatest aliasmistral/ministral-14b-latest$0.20$0.20$0.02256K

What Ministral 14B costs in practice

1,000 requests with 2,000 input and 500 output tokens each

Mistral AI$0.50

100 long-document requests with 100,000 input and 2,000 output tokens each

Mistral AI$2.04

Ministral 14B features

Use Ministral 14B with LiteLLM

Call Ministral 14B through the LiteLLM Python SDK, or put it behind the LiteLLM proxy and send OpenAI-format requests to /v1/chat/completions. LiteLLM tracks the cost of every request at these prices.

Python SDK
from litellm import completion

response = completion(
    model="mistral/ministral-14b-2512",
    messages=[{"role": "user", "content": "Hello!"}],
)
Proxy config.yaml
model_list:
  - model_name: ministral-14b
    litellm_params:
      model: mistral/ministral-14b-2512
      api_key: os.environ/MISTRAL_API_KEY
Call the proxy
curl http://0.0.0.0:4000/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-1234" \
  -d '{
    "model": "ministral-14b",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Ministral 14B FAQ

How much does Ministral 14B cost?

Ministral 14B costs $0.20 per 1M input tokens and $0.20 per 1M output tokens on Mistral AI, with cache reads at $0.02 per 1M tokens.

What is the context window of Ministral 14B?

Ministral 14B has a 262,144-token context window and returns up to 262,144 tokens per response.

Which providers offer Ministral 14B?

Ministral 14B is available from Mistral AI through LiteLLM, using the model name mistral/ministral-14b-2512.

How do I call Ministral 14B with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="mistral/ministral-14b-2512", or add the model to the LiteLLM proxy's config.yaml and send requests to /v1/chat/completions from any OpenAI client. LiteLLM tracks the cost of every request at the prices on this page.

What features does Ministral 14B support?

Ministral 14B supports function calling, structured output and image input.

When did LiteLLM add Ministral 14B?

Ministral 14B was added to LiteLLM's model price file in December 2025.

Sources

Prices come from LiteLLM's open-source model_prices_and_context_window.json, which LiteLLM uses to calculate the cost of every request. Provider pricing pages:

LiteLLM docs: Mistral AI.

Provider pages: Mistral AI.