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 .

$0.400000 Total Cost
2,000,000 Total Tokens
44 minutes, 35.18 seconds Processing Time
748 Effective Tokens/Sec

Click Recalculate to update after making changes

ℹ️ Bulk Calculation: Total volume exceeds single-request limit of 65,536 tokens. Budgeting mode active.

Select AI Model

Ministral 3 (14B)
Mistral AIMax Context: 65,536 tokens
$0.2 / $0.2 per 1M tokens
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Use Batch API (50% discount)
0%
Provider-specific multipliers applied after all calculations
Enable for cache discounts
Select platform to enforce context limits
Number of requests (max 1M). Summary view auto-enabled >10k.

Calculate Token Costs

$0.400000 Total Cost
$0.200000 Input Cost
$0.200000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
2,000,000Total Tokens
$0.000200Cost per 1K
5,000,000Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

44m 35s Processing Time
800 Tokens/Second
70ms Time to First Token
748 Effective Speed

Model Comparison

Select a model to see comparisons with competitors.

Model Information

Select a model to see detailed information.

🔄 Advanced Options

⚡ Optimization
Flat fee per session (e.g., $0.03 for Code Interpreter)
Hourly storage fee for cached data
First 50 hours free, $0.05/hour after
🧠 Reasoning & Thinking
Manual thinking tokens (billed at output rate)
🔧 Special Modes
Enable 6.0x Fast Mode multiplier
📚 Research & Citations
Enable $1.00/$4.00 rates + $10.00/1k search
Enable research tier pricing
Fee per source cited
🎤 Realtime Audio & Video
Session length for billing

Ministral 3 Mistral AI

$0.400000
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 65,536 tokens. Budgeting mode active.
🔧 Tools
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✗ Not Available requested
📄
OCR Support
✗ Not Available
📊
Batch API
✓ Available
⚡
Caching
✓ Available
90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.400000 Input: $0.200000
Output: $0.200000
Optimized Cost $0.400000 Input: $0.200000
Output: $0.200000
Unit: $0.000000
Fees: $0.000000

Detailed Cost Analysis (from Plugin)

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

  • Input Cost: $0.200000
  • Output Cost: $0.200000
  • Total Cost: $0.400000
  • Cost per 1K tokens: $0.000200
  • Tokens per dollar: 5,000,000 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, 35.18 seconds
  • Latency: 70 milliseconds to first token
  • Base Throughput: 800 tokens/second
  • Effective Throughput: 748 tokens/second (temperature-adjusted)

Best Use Cases

Edge AIIntent ClassificationData Cleanup

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✨ Market Recommendations AI Model Registry

← Back to Ministral 3
📋 Active Input Parameters
Input Tokens: 1,000,000
Output Tokens: 1,000,000
Tools: Enabled
Rank AI Model & Provider Total Cost vs Ministral 3
🏆 Grok 4.20 Beta
xAI
 $8.000000 Best Value ↑ 1900% more
🥈 Gemini 2.5 Pro
Google
 $17.500000 ↑ 4275% more
🥉 Gemini 2.5 Pro
Google
 $17.500000 ↑ 4275% more
🏆

Grok 4.20 Beta
xAI

$8.000000
vs Ministral 3: ↑ 1900%
🥈

Gemini 2.5 Pro
Google

$17.500000
vs Ministral 3: ↑ 4275%
🥉

Gemini 2.5 Pro
Google

$17.500000
vs Ministral 3: ↑ 4275%
✨ How recommendations work (v8.6.0): We scan all active models in the registry and only include those that support ALL your current inputs. For token-based models, we check if they can handle your token counts. For special pricing models (OCR, video, audio), we verify they have the correct pricing structure. Features marked requested were in your inputs but not supported by that model. Now using official provider pricing without reseller markups.

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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. Note: Reseller markups and dedicated instance multipliers have been removed to reflect official provider pricing.
How do Market Recommendations work (v8.6.0)?
Our recommendation engine scans the entire model registry and only includes models that support ALL your current input parameters (tokens, images, video, audio, OCR, tools, batch API, etc.). It calculates exact costs with your settings and sorts by price, showing you the best value options that can handle your complete workflow. Special pricing models (OCR, video, audio, image generation) are properly handled and only appear when their specific input types are requested. v8.6.0 removes reseller markups (20% buffer) and dedicated instance multipliers to reflect official provider 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 50+ AI models. It calculates token-based pricing, analyzes multimodal processing, accounts for state-dependent pricing (context cliffs, tiered tunnels), provides optimization recommendations, and now offers intelligent market matching to find the best alternatives for your specific needs.