ministral-14b-2512:free
Compact Mistral model for edge, latency-sensitive, and cost-efficient workloads
Capabilities
Modalities
Quick stats
Performance
Supported parameters
All providers = every upstream serving this model supports it. Some providers = depends on which upstream handles the request. Default = the value sent when you leave the parameter unset.
| Parameter | Providers | Default |
|---|---|---|
| frequency_penalty | All providers | Not sent by default |
| logprobs | Some providers | - |
| max_tokens | All providers | - |
| presence_penalty | All providers | - |
| repetition_penalty | Some providers | - |
| response_format | All providers | - |
| seed | All providers | - |
| stop | All providers | - |
| structured_outputs | All providers | - |
| temperature | All providers | 0.3 |
| tool_choice | All providers | - |
| tools | All providers | - |
| top_logprobs | Some providers | - |
| top_p | All providers | Not sent by default |
Pricing
| Input price | $0.00 · 1M tokens |
| Output price | $0.00 · 1M tokens |
| Context window | 256K tokens |
| Compatible endpoints | openai |
| Vendor | Mistral |
Call ministral-14b-2512:free from your code
Point any OpenAI-compatible SDK at UnoRouter and request the model by name. Replace YOUR_API_KEY with a real key from your dashboard.
curl https://api.unorouter.com/v1/chat/completions \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "ministral-14b-2512:free",
"messages": [{"role": "user", "content": "Hello!"}]
}'Frequently asked questions
How much does ministral-14b-2512:free cost per 1M tokens?
Input is priced at $0.00 per 1M tokens, output at $0.00 per 1M tokens. Billing is per token, no rounding to batch sizes.
How do I access ministral-14b-2512:free via API?
Send requests to the UnoRouter /v1/chat/completions endpoint with model=ministral-14b-2512:free. Any OpenAI-compatible client library works. Authentication uses a standard Bearer token.
What is the context window of ministral-14b-2512:free?
ministral-14b-2512:free supports a context window of 256K tokens, shared between your prompt and the model's response.
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Try ministral-14b-2512:free now
Create an API key and start making requests in under a minute.