mistral-cost-tuning

name	mistral-cost-tuning
description	Optimize Mistral AI costs through model selection, token management, and usage monitoring. Use when analyzing Mistral billing, reducing API costs, or implementing usage monitoring and budget alerts. Trigger with phrases like "mistral cost", "mistral billing", "reduce mistral costs", "mistral pricing", "mistral budget".
allowed-tools	Read, Grep
version	1.12.0
license	MIT
author	Jeremy Longshore <[e-mail]>
tags	["saas","mistral","api","monitoring","cost-optimization"]
compatibility	Designed for Claude Code

Mistral AI Cost Tuning

Overview

Optimize Mistral AI costs through model selection, token management, caching, batch inference, and budget monitoring. Mistral offers the best price-performance in the market with models from $0.1/M tokens (Ministral/Small) to $0.5/M tokens (Large).

Prerequisites

• Access to Mistral AI console for usage data
• Understanding of current usage patterns
• Database for usage tracking (optional)

Pricing Reference (as of 2025)

Model	Input $/M tokens	Output $/M tokens	Best For
ministral-latest (3B)	$0.10	$0.10	Simple tasks, edge
mistral-small-latest	$0.10	$0.30	General purpose, fast
codestral-latest	$0.30	$0.90	Code generation
mistral-large-latest	$0.50	$1.50	Complex reasoning
pixtral-large-latest	$2.00	$6.00	Vision + text
mistral-embed	$0.10	—	Embeddings
Batch API (any model)	50% off	50% off	Non-realtime bulk

Always check docs.mistral.ai/deployment/laplateforme/pricing for current rates.

Instructions

Step 1: Cost Calculator

const PRICING: Record<string, { input: number; output: number }> = {
  'ministral-latest':      { input: 0.10, output:  },
  :  { : , :  },
  :      { : , :  },
  :  { : , :  },
  :  { : , :  },
  :         { : , :  },
};

 ():  {
   p = [model] ?? [];
   multiplier = isBatch ?  : ;
   ((inputTokens / ) * p. + (outputTokens / ) * p.) * multiplier;
}


 monthlySmall = (, , );
 monthlyLarge = (, , );
.();  
.();