Skip to content
AI Dev Toolkit.
Esc
  • AI Token CounterCount tokens for GPT, Claude, Gemini, DeepSeek, Qwen and more.Tool
  • LLM API Cost CalculatorEstimate per-request, daily and monthly API costs.Tool
  • AI Model ComparisonCompare prices, context windows and features across models.Tool
  • AI Model Pricing PagesSpecs, real costs and cheaper alternatives for popular models.Tool
  • Context Window CheckerSee whether your text fits each model’s context window.Tool
  • Subscription vs API CalculatorFind out whether a chat plan or the API is cheaper for you.Tool
  • GPU / VRAM CalculatorCheck how much VRAM a local model needs and which GPUs fit.Tool
  • Prompt Caching CalculatorEstimate savings from prompt caching.Tool

Mistral · Model

Ministral 3 14B 2512 pricing, context window and specs

Ministral 3 14B 2512 costs $0.20 per million input tokens and $0.20 per million output tokens, and reads up to 262,144 tokens per request. By blended price it is number 4 of Mistral’s 8 current models here, counting from the cheapest.

Input / 1M
$0.20
Output / 1M
$0.20
Cached / 1M
$0.02
Context
262,144
Max output
Not published
Released
2025-12-02

Estimate your cost with Ministral 3 14B 2512Compare all Mistral modelsCount tokens for Ministral 3 14B 2512

Pricing

Ministral 3 14B 2512 API pricing

Price per 1M tokensInputOutput
Standard$0.20$0.20
Cached input (read)$0.02–

Output costs about the same as input, so long replies drive the bill more than long prompts. If your requests share a long fixed prefix, such as a system prompt or tool definitions, caching cuts that part to 10% of the normal input price.

Examples

What Ministral 3 14B 2512 costs in practice

WorkloadTokens in / outRequests/dayPer requestPer month
Support chatbot50% cached1,500 / 4001,000$0.000245$7.45
RAG app20% cached6,000 / 500500$0.00108$16.49
Coding agent80% cached40,000 / 2,000200$0.00264$16.06
Document summariser8,000 / 600300$0.00172$15.70

Change any number in the cost calculator.

Context

Context window

Ministral 3 14B 2512 accepts up to 262,144 tokens per request, roughly 196,608 English words or 393 pages. That budget is shared between your prompt and the reply, and no separate cap on the reply is published.

Filling the whole window with one prompt costs about $0.0524 at list price, so for repeated long-document work, retrieval (sending only the relevant parts) or prompt caching is usually much cheaper.

Check whether your text fits Ministral 3 14B 2512’s window.

Features

Capabilities

Image input
Yes
Tool / function calling
Yes
Reasoning mode
No
Prompt caching
Yes
Structured output
Yes
Open weights
Yes
Accepts
text, image
Knowledge cutoff
Not published

As declared by the provider’s API. It shows a feature exists, not how well it works.

API

Ministral 3 14B 2512 model ID

OpenRouter
mistralai/ministral-14b-2512
Open weights
mistralai/Ministral-3-14B-Instruct-2512

Use the OpenRouter ID when calling it through OpenRouter; Mistral’s own API may name it differently. See the model ID reference for the providers we document.

Mistral

Where Ministral 3 14B 2512 sits in Mistral’s line-up

Ranked by blended price (three parts input to one part output, $0.20 per 1M for Ministral 3 14B 2512), it is number 4 of Mistral’s 8 current models here, counting from the cheapest. One step down, Voxtral Small 24B 2507 costs $0.15 blended (25% less). Unlike Ministral 3 14B 2512, it accepts files and audio, doesn’t accept images and reads up to 32,768 tokens (262,144 here). One step up, Mistral Small 4 costs $0.2625 (1.3× as much). Unlike Ministral 3 14B 2512, it has a reasoning mode. See every Mistral model and price

ModelInput / 1MOutput / 1MContextReleased
Ministral 3 3B 2512$0.10$0.10131,0722025-12-02
Ministral 3 8B 2512$0.15$0.15262,1442025-12-02
Voxtral Small 24B 2507$0.10$0.3032,7682025-10-30
Ministral 3 14B 2512 (this page)$0.20$0.20262,1442025-12-02
Mistral Small 4$0.15$0.60262,1442026-03-16
Codestral 2508$0.30$0.90128,0002025-08-01
Mistral Large 4$0.68$2.091,048,5762026-10-06
Mistral Medium 3.5$1.50$7.50262,1442026-04-30

Mistral’s current models with a page here, cheapest first. Older and superseded models are listed on the provider page and in the comparison table.

Save

Cheaper alternatives

Current models from major providers, one per provider, that keep image input, tool calling, a usable context window and output limit. Compared by blended price.

Compare

Similarly priced models

Current models from other major providers, closest blended price.

FAQ

Ministral 3 14B 2512 questions

How much does Ministral 3 14B 2512 cost?

Ministral 3 14B 2512 costs $0.20 per million input tokens and $0.20 per million output tokens, with cached input at $0.02. A typical chatbot reply (1,500 tokens in, 400 out) costs about $0.00038. Use the LLM cost calculator for your own workload.

What is Ministral 3 14B 2512’s context window?

262,144 tokens, about 196,608 English words or 393 printed pages, shared between your prompt and the reply. No separate limit on the reply is published, so the window is the limit.

Does Ministral 3 14B 2512 support prompt caching and batch requests?

Yes, cached input is billed at $0.02 per million tokens (10% of the normal input price). No batch price is published for it.

What are cheaper alternatives to Ministral 3 14B 2512?

With the same essentials (image input and tool calling), the cheapest options are Ministral 3 3B 2512 (50% cheaper), Gemma 4 26B A4B (47% cheaper), Qwen3.5-9B (44% cheaper). Cheaper doesn’t mean equivalent, so test them on your own prompts.

What is the API model ID for Ministral 3 14B 2512?

On OpenRouter it is mistralai/ministral-14b-2512. Mistral’s own API may use a different name, so check its model list before you deploy. Pass the ID as the model value in each request.

Is Ministral 3 14B 2512 open source?

Yes, Ministral 3 14B 2512 has open weights, so you can run it yourself or choose between several hosting providers. The prices here are a typical hosted price.

Updated

Sources: OpenRouter models API and LiteLLM model prices and context windows, checked daily; open-weight prices are typical hosted prices. Confirm critical numbers on Mistral’s pricing page. See our methodology.