Magistral 1M input/output tokens price and performance

Complete Analysis: 2,000,000 tokens for Magistral

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

$7.200000 Total Cost
2,000,000 Total Tokens
1 hour, 19 minutes, 15.00 seconds Processing Time
421 Effective Tokens/Sec

Click Recalculate to update after making changes

ℹ️ Bulk Calculation: Total volume exceeds single-request limit of 128,000 tokens. Budgeting mode active.

Select AI Model

Magistral
Mistral AIMax Context: 128,000 tokens
$2 / $4 per 1M tokens
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

$2.400000 Input Cost
$4.800000 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
$0.003600Cost per 1K
277,778Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

79m 15s Processing Time
450 Tokens/Second
180ms Time to First Token
421 Effective Speed

Model Comparison

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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
Apply 1.5x multiplier to output tokens (GPT-5.4, Claude 4.6)
Manual thinking tokens (billed at output rate)

🔧 Special Modes
Enable 4x Tunnel Multiplier (applied after markup)
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

Magistral Mistral AI

$7.200000
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 128,000 tokens. Budgeting mode active.
👁️
Vision/Images
✗ Not 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 (from Plugin)

Base Cost (No Optimizations) $6.000000 Input: $2.000000
Output: $4.000000
Optimized Cost $7.200000 Input: $2.000000
Output: $4.000000
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: $2.000000
  • Output Cost: $4.000000
  • Total Cost: $7.200000
  • Cost per 1K tokens: $0.003600 (rounded ~ 0.00)
  • Tokens per dollar: 277,778 tokens
  • Context Window: 128000 tokens

Speed & Performance Analysis

With a processing speed of 450 tokens per second and 180ms time to first token:

  • Processing Time: 1 hour, 19 minutes, 15.00 seconds
  • Latency: 180 milliseconds to first token
  • Base Throughput: 450 tokens/second
  • Effective Throughput: 421 tokens/second (temperature-adjusted)

Best Use Cases

Sovereign ReasoningEuropean Compliance

✨ Market Recommendations AI Model Registry

← Back to Magistral
📋 Active Input Parameters
Input Tokens: 1,000,000
Output Tokens: 1,000,000
Rank AI Model & Provider Total Cost vs Magistral
🏆 Llama 4 Scout
Meta AI
$0.380000 Best Value ↓ 94.7% cheaper
🥈 Grok 4.1 Fast
xAI
$1.220000 ↓ 83.1% cheaper
🥉 Grok 5
xAI
$18.000000 ↑ 150% more
#4 Gemini 3.1 Pro
Google
$22.000000 ↑ 205.6% more
#5 Gemini 3.1 Pro
Google
$22.000000 ↑ 205.6% more
🏆

Llama 4 Scout
Meta AI

$0.380000
vs Magistral: ↓ 94.7%
🥈

Grok 4.1 Fast
xAI

$1.220000
vs Magistral: ↓ 83.1%
🥉

Grok 5
xAI

$18.000000
vs Magistral: ↑ 150%
#4

Gemini 3.1 Pro
Google

$22.000000
vs Magistral: ↑ 205.6%
#5

Gemini 3.1 Pro
Google

$22.000000
vs Magistral: ↑ 205.6%
✨ How recommendations work: We scan all active models in the registry that support your current inputs (basic text), calculate costs with all your parameters, and sort by total cost (cheapest first). Features marked requested were in your inputs but not supported by that model.

Next-Generation Magistral Intelligence

Magistral is a frontier model from Mistral AI optimized for the 2026 AI landscape.

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.
How do Market Recommendations work?
Our recommendation engine scans the entire model registry for alternatives that support all your current input parameters (images, video, audio, OCR, tools, etc.). It calculates exact costs with your settings and sorts by price, showing you the best value options available in the market.
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.