Ministral 3: Efficient Small-Scale Automation

Complete Analysis: 2,000,000 tokens for Ministral 3

Complete analysis of pricing, performance, and use cases for Mistral AI's Ministral 3 model .

$0.650000 Total Cost
2,000,000 Total Tokens
44 minutes, 35.00 seconds Processing Time
748 Effective Tokens/Sec
ℹ️ Note: Calculation represents bulk volume across multiple requests; single-request limit is 65,536 tokens.

Select AI Model

Ministral 3
Mistral AIMax Context: 65,536 tokens
Input: $0.150000 / 1M
Output: $0.450000 / 1M

Calculate Token Costs

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Provider-specific multipliers applied after all calculations
Enable for Haiku 4.5 hard cap bypass
Select platform to enforce context limits
Number of requests (max 1M). Summary view auto-enabled >10k.
Multiply total cost by quantity for project budgeting
$0.650000Total Cost
$0.150000Input Cost
$0.450000Output Cost
$0.000000Unit Cost
$0.000000Search Cost
$0.000000Request Fee
$0.000000Tool Fee
$0.000000Code Execution
2,000,000Total Tokens
$0.000325Cost per 1K
3,076,923Tokens per $

Click Recalculate to update after making changes

Calculate Processing Speed

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44m 35sProcessing Time
800Tokens/Second
70msTime to First Token
748Effective Speed

Model Comparison

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Model Information

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🔄 Advanced Options

⚡ Optimization
0%
Flat fee per session (e.g., $0.03 for Code Interpreter)
Hourly storage fee for cached data (Pro: $4.50/1M/hr, Flash: $1.00/1M/hr)
First 50 hours free, $0.05/hour after (reset at 00:00 UTC)
🧠 Specialized Modes
Enable Thinking Mode (Google models)
Manual thinking tokens (billed at output rate, disabled by default)
Adaptive thinking token estimation for DeepSeek models
30% output surcharge (Vertex AI priority)
Billed at output rate × reasoning multiplier
Global 2x multiplier for priority processing
Enable Reasoning/Thinking Mode (DeepSeek R1, Grok Deep Reason)
Enable Agentic Swarm
🔧 Automated Service Fees
Enable for DeepSeek V4 ($0.01 per 1M tokens)
Enable code execution (adds $0.05 flat fee)
$0.01 per query (auto-applied based on Search Queries input)
🤖 xAI Agent Tools (Unified $5.00/1k)
Real-time X data access calls
Standard internet search calls
Python sandbox execution calls (overrides flat fee if set)
📚 xAI RAG Tools (Unified $2.50/1k)
File search tool access
Collections/RAG knowledge base access - aggregated with File Search at $2.50/1k
ℹ️ Updated xAI Tool Pricing: Agent tools (web, X, code) at $5.00/1k calls. RAG tools (collections, file) at $2.50/1k calls. Integer code_execution_calls overrides boolean.
🎤 Realtime Audio & Deep Research
Enable Deep Research ($2.00/$8.00 rates)
Session length for billing ($0.01 per minute, rounded up)
Active speech time within session
📄 Mistral AI - Unit-Based Options
Number of pages to process with OCR (tiered pricing auto-applied)
Enable HTML table reconstruction surcharge
Duration-based audio processing (not token-based)
Enable speaker diarization (Voxtral models only)
Enable context biasing (Voxtral models only)
🔬 Research & Citation
Enable research tier pricing ($2.00/$8.00 + $0.005/query)
Enable reasoning with 1,000 token floor ($0.015 min)
Fee per source cited when research mode is enabled
⚙️ Performance Tuning
Low = Fast
High = Creative
📊 Advanced Cost Breakdown

Ministral 3 Mistral AI

$0.650000
Total Cost
⚠️ Note: Calculation represents bulk volume across multiple requests; single-request limit is 65,536 tokens.
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✗ Not Available
📄
OCR Support
✗ Not Available
📊
Batch API
✓ Available
⚡
Caching
✗ Not Available

💰 Total Cost Calculation

Base Cost (No Optimizations) $0.650000 Input: $0.150000
Output: $0.450000
Optimized Cost $0.650000 Input: $0.150000
Output: $0.450000
Unit: $0.000000
Fees: $0.050000

Advanced Cost Breakdown

💻 Code Execution
$0.050000
Flat fee per execution

Detailed Cost Analysis

For 1,000,000 input tokens and 1,000,000 output tokens:

  • Input Cost: $0.150000
  • Output Cost: $0.450000
  • Unit Cost: $0.000000
  • Service Fees: $0.050000
  • Total Cost: $0.650000
  • Cost per 1K tokens: $0.000325
  • Tokens per dollar: 3,076,923 tokens
  • Context Window: 65536 tokens

Speed & Performance Analysis

With a processing speed of 800 tokens per second and 70ms time to first token:

  • Processing Time: 44 minutes, 35.00 seconds
  • Latency: 70 milliseconds to first token
  • Base Throughput: 800 tokens/second
  • Effective Throughput: 748 tokens/second

Best Use Cases

Edge AIIntent ClassificationData Cleanup

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High-Performance Edge AI

Mistral’s Ministral 3 is the leading small-scale model for 2026, optimized for local execution and high-efficiency cloud API use. At $0.50 per 1M/1M tokens, it provides a ‘punchy’ reasoning capability for its size. It is the ideal choice for developers building edge-device assistants or high-volume data cleanup tasks that require more intelligence than a ‘Nano’ model can provide.

Instruction Following

Ministral 3 is remarkably good at following complex system prompts for such a small model. It is frequently used for text-based intent classification, structured output generation, and basic chat interfaces. Its speed of 1200 tokens per second makes it one of the fastest models in the Mistral lineup, ensuring a snappy user experience for any mobile or web application.

Frequently Asked Questions

How accurate are these AI model cost calculations?
Our calculations are based on official pricing from each provider (Google, OpenAI, Anthropic, Meta, xAI, Perplexity, DeepSeek, Mistral) and are updated regularly. We account for all factors including multimodal inputs, caching discounts, batch API pricing, tool usage multipliers, OCR processing, audio minutes, silence fees, and research mode pricing.
What is the YemHub AI Calculator Tool?
The YemHub AI Calculator is the most comprehensive tool for estimating costs and comparing performance metrics across 38 AI models. It calculates token-based pricing, analyzes multimodal processing, and provides optimization recommendations.