Ministral 3 8B 2512

Mistral chatvisiontool_use Long

API ID: mistralai/ministral-8b-2512

Input Price
$0.15
/1M tokens
Output Price
$0.15
/1M tokens

About Ministral 3 8B 2512

Ministral 8B is Mistral AI's efficient small model, delivering strong capability in a compact package. With 8 billion parameters, it runs on consumer hardware while maintaining good performance on general tasks. The model excels at conversation, basic coding, and content generation, outperforming many larger models from previous generations. Ministral 8B features efficient architecture optimized for fast inference and low resource usage. It supports function calling and can be fine-tuned for specific domains. For developers seeking capable small AI with European provider benefits, Ministral 8B offers excellent value. It's particularly valuable for edge deployment, high-volume applications, and scenarios requiring efficient inference.

๐Ÿ’ฐ
Price Ranking
#628 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
$0.11
/month
50 conversations/day, ~500 tokens each
Customer Service Bot
$3.60
/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 8B 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

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๐Ÿš€ Quick Start

Get started with Ministral 3 8B 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-8b-2512",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)