Model Cost Profile

Mistral: Ministral 3 14B 2512

Developer: mistralai

Pricing updated Mar 11, 2026

Input rank: #135Output rank: #71

Live Pricing

Input: $0.2000

Output: $0.2000

Pricing via OpenRouter API ยท Last synced Mar 11, 2026

Mistral: Ministral 3 14B 2512, developed by mistralai, offers an extensive context window of 262,144 tokens, making it suitable for applications requiring in-depth analysis and long-form content generation. Teams leveraging this API model can expect a cost-effective pricing structure, with both input and output priced at $0.20 per million tokens, facilitating budget-friendly scaling for high-volume tasks. This model is ideal for industries such as legal, research, and content creation, where nuanced understanding and comprehensive data processing are essential.

๐Ÿ‘ Vision๐Ÿ”ง Tool Calling๐Ÿ“‹ Structured Output

Context Window

262,144

Tokens

Input Price / 1M

$0.2000

Prompt tokens

Output Price / 1M

$0.2000

Completion tokens

Intelligence (MMLU)

Benchmark Pending

Massive Multitask Language Understanding

Price History

Mistral: Ministral 3 14B 2512 Pricing Trend

Input / 1M tokens0.0%Output / 1M tokens0.0%
Mar 7 โ€” Mar 11
$0.2000$0.2000$0.2000Mar 7Mar 8Mar 9Mar 10Mar 11

Current Input / 1M

$0.2000

Current Output / 1M

$0.2000

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FAQ

Common pricing and benchmark questions for Mistral: Ministral 3 14B 2512.

How much does Mistral: Ministral 3 14B 2512 cost per 1M input tokens?

Mistral: Ministral 3 14B 2512 input pricing is $0.2000 per 1M tokens based on the latest synced provider data.

How much does Mistral: Ministral 3 14B 2512 cost per 1M output tokens?

Mistral: Ministral 3 14B 2512 output pricing is $0.2000 per 1M tokens based on the latest synced provider data.

What context window does Mistral: Ministral 3 14B 2512 support?

Mistral: Ministral 3 14B 2512 supports a context window of 262,144 tokens.

How can I compare Mistral: Ministral 3 14B 2512 with cheaper alternatives?

Use the comparison links on this page to open direct model-vs-model pricing and benchmark pages, then evaluate monthly spend projections for your workload.