Ministral 3 14B 2512 pricing and routing profile
Ministral 3 14B 2512 from Mistral AI lists at $0.20 per million input tokens and $0.20 per million output tokens, with a 262,144-token context window. Prices from OpenRouter's catalogue on 2026-09-28.
Tool callingStructured output
Cost per 1,000 requests
| Request shape | List cost |
|---|---|
| Classification or routing (600 tokens in, 10 out) | $0.122 |
| Chat reply (2,000 in, 400 out) | $0.48 |
| Retrieval-augmented answer (8,000 in, 500 out) | $1.70 |
Before prompt caching. Try your own shape in the cost calculator.
Can Gimbix route to it first?
Not as a first-answer model through OpenRouter: no host returns token log probabilities for Ministral 3 14B 2512. It can still be the model Gimbix falls back to when a cheaper model is unsure.
Cheaper models that can answer first
Models priced below Ministral 3 14B 2512 that expose a confidence signal. Whether they answer your traffic as well is what a Gimbix pilot measures.
| Model | Input / output per 1M | Cheaper on a chat reply |
|---|---|---|
| UI-TARS 7B | $0.10 / $0.20 | 42% |
| Qwen3.5-9B | $0.10 / $0.15 | 46% |
| Nemotron 3.5 Lightning | $0.08 / $0.20 | 50% |
| Nemotron 3 Nano 30B A3B | $0.05 / $0.20 | 63% |
| Llama 3.1 8B Instruct | $0.05 / $0.08 | 73% |
| Qwen3.7 Flash | $0.03 / $0.13 | 77% |
Questions
How much does Ministral 3 14B 2512 cost?
Ministral 3 14B 2512 lists at $0.20 per million input tokens and $0.20 per million output tokens on OpenRouter as of 2026-09-28. A typical chat reply of 2,000 input and 400 output tokens costs about $0.48 per 1,000 requests.
What is the context window of Ministral 3 14B 2512?
262,144 tokens.
Can a cheaper model replace Ministral 3 14B 2512?
Sometimes. Gimbix proves it on your own traffic before routing: the cheaper model must match Ministral 3 14B 2512 on one half of your requests and make at most three answers worse on the other.