Ministral 3 14B 2512

Mistral chatvisiontool_use Long

API ID: mistralai/ministral-14b-2512

Input Price
$0.20
/1M tokens
Output Price
$0.20
/1M tokens

About Ministral 3 14B 2512

Ministral 14B is Mistral AI's mid-size efficient model, delivering strong capability in a practical package. The model offers good performance while maintaining reasonable resource requirements. Ministral 14B excels at general tasks with efficient inference. For developers seeking capable mid-size AI, Ministral 14B offers balanced performance.

๐Ÿ’ฐ
Price Ranking
#655 lowest price among 950 Chat models

Model Specifications

Context Length
262k
Max Output
โ€”
Release Date
2025-12-02
Capabilities
chat vision tool_use
Input Modalities
textimage
Output Modalities
text

Best For

  • Image analysis, document understanding, visual Q&A
  • Conversations, content writing, general assistance

๐Ÿ’ฐ Real-World Cost Examples

Estimated monthly costs for common use cases

Personal AI Assistant
$0.15
/month
50 conversations/day, ~500 tokens each
Customer Service Bot
$4.80
/month
1000 tickets/day, ~800 tokens each

Mistral Model Lineup

Compare all models from Mistral to find the best fit

Model Input Output Context Capabilities
Ministral 3 14B 2512 Current Free Free 262k chat vision tool_use
Pixtral 12B Free Free 4k chat vision
Mistral 7B Instruct v0.3 Free Free 33k chat
Mistral 7B Instruct Free Free 33k chat
Mixtral 8x22B (base) Free Free 66k chat
Mixtral 8x22B (base) Free Free 66k chat

Similar Models from Other Providers

Cross-brand alternatives with similar capabilities

Allen AI Molmo2 8B (free)
Input: $0.20
Output: $0.20
Context: 37k
Meta LlamaGuard 2 8B
Input: $0.20
Output: $0.20
Context: 8k
Other Step 3.5 Flash (free)
Input: $0.10
Output: $0.30
Context: 256k
Alibaba Qwen Qwen2.5 Coder 32B Instruct
Input: $0.20
Output: $0.20
Context: 33k

๐Ÿš€ Quick Start

Get started with Ministral 3 14B 2512 API

OpenAI-compatible SDK
from openai import OpenAI

client = OpenAI(
    base_url="https://api.provider.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="mistralai/ministral-14b-2512",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)