Ministral 3B

API ID: mistralai/ministral-3b

Input Price
$0.04
/1M tokens
Output Price
$0.04
/1M tokens

About Ministral 3B

Ministral 3B is Mistral AI's most compact model, designed for edge deployment and resource-constrained environments. With just 3 billion parameters, it runs efficiently on mobile devices and embedded systems while maintaining useful capability. The model handles basic conversation, simple tasks, and content generation effectively despite its small size. Ministral 3B features optimized architecture for minimal resource usage and fast inference. It's ideal for on-device AI, IoT applications, and scenarios where larger models aren't feasible. For developers building AI into the smallest devices, Ministral 3B provides capable AI in a tiny package. It represents Mistral's commitment to making AI accessible across all deployment scenarios.

πŸ’°
Price Ranking
#571 lowest price among 950 Chat models

Model Specifications

Context Length
128k
Max Output
β€”
Release Date
2024-10-17
Capabilities
chat
Input Modalities
text
Output Modalities
text

Best For

  • Conversations, content writing, general assistance

Consider Alternatives For

  • Image understanding (needs vision capability)

πŸ’° Real-World Cost Examples

Estimated monthly costs for common use cases

Personal AI Assistant
$0.03
/month
50 conversations/day, ~500 tokens each
Customer Service Bot
$0.96
/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 3B Current Free Free 128k chat
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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Input: $0.04
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Meta Llama 3 8B Instruct
Input: $0.03
Output: $0.04
Context: 8k

πŸš€ Quick Start

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