Mistral Large 25.01 vs Llama 4 Maverick: The EU Choice

Mistral Large 25.01 vs Llama 4 Maverick
Complete Comparison: 128,000 input tokens × 128,000 output tokens
Comparison Mode
🖼️ 1 Image

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 1 Image.

🖼️ Multimodal Input 📊 Batch API
Comparison Criteria Mistral Large 25.01
Mistral
Llama 4 Maverick
Meta
Calculation Results (Current Inputs) (1 images)
Input Tokens N/A (Special Pricing) N/A (Special Pricing)
Output Tokens N/A (Special Pricing) N/A (Special Pricing)
Cost Breakdown
Input Cost N/A (Special Pricing) N/A (Special Pricing)
Output Cost N/A (Special Pricing) N/A (Special Pricing)
Unit Cost (Audio/OCR) $0.000250 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.064282 (rounded ~ $0.06) Best Value $0.096039 (rounded ~ $0.10) Most Expensive
Processing Time 9 minutes, 3.45 seconds Fastest 11 minutes, 19.26 seconds Slowest
Tokens per Second N/A (Special Pricing) N/A (Special Pricing)
Time to First Token 160ms Worst 150ms Best
Cost per 1K tokens N/A (Special Pricing) N/A (Special Pricing)
Tokens per Dollar N/A (Special Pricing) N/A (Special Pricing)
Cost per 1 Million Tokens (Informational)
Information not available - No token-based models in this comparison
Capabilities & Advanced Features
Images Support
1
✓ Supported ✓ Supported
Caching Support ✓ Supported ✗ Not Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
Scroll horizontally to see all data

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2

Second Model

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All other parameters will be preserved from the current comparison.

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ℹ️ Bulk Calculation: Total volume exceeds single-request limit of 256,000 tokens. Budgeting mode active.

Select AI Model

Mistral Large 25 01
Mistral AIMax Context: 256,000 tokens
$0.5 / $1.5 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.
Will auto-convert to minutes for Voxtral models (9000 tokens = 1 min)
$0.067 per 1,000 pixels

Calculate Token Costs

$0.064282 Total Cost
$0.016032 Input Cost
$0.048000 Output Cost
$0.000250 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
256,258Total Tokens
$0.000251Cost per 1K
3,986,450Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

9m 3s Processing Time
500 Tokens/Second
160ms Time to First Token
472 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
📊 Multiple Models Detected: This page contains data for 2 models. See the detailed comparison table above, and switch between models using tabs below.

Mistral Large 25.01 Mistral

$0.064282 (rounded ~ $0.06)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 256,000 tokens. Budgeting mode active.
🖼️ 1 Image (1080p) 📊 Batch API 🔧 Tools
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✓ Available
📄
OCR Support
✗ Not Available
📊
Batch API
✓ Available
⚡
Caching
✓ Available
90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.064282 (rounded ~ $0.06) Input: $0.016032 (rounded ~ $0.02)
Output: $0.048000 (rounded ~ $0.05)
Optimized Cost $0.064282 (rounded ~ $0.06) Input: $0.016032 (rounded ~ $0.02)
Output: $0.048000 (rounded ~ $0.05)
Unit: $0.000250
Fees: $0.000000

Advanced Cost Breakdown (from Plugin)

👁️ Vision Prefill
$0.000250
2,000 tokens
🖼️ Multimodal Input
$0.000000
258 tokens
📊 Batch API
50.0% off
Asynchronous processing discount

Multimodal Input Details

🖼️ Images
Count: 1
Resolution: 1080p
Tokens: 258
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 128,000 input tokens and 128,000 output tokens:

  • Input Cost: $0.016032 (rounded ~ $0.02)
  • Output Cost: $0.048000 (rounded ~ $0.05)
  • Unit Cost: $0.000250
  • Total Cost: $0.064282 (rounded ~ $0.06)
  • Cost per 1K tokens: $0.000251
  • Tokens per dollar: 3,986,450 tokens
  • Context Window: 256000 tokens

Speed & Performance Analysis

With a processing speed of 500 tokens per second and 160ms time to first token:

  • Processing Time: 9 minutes, 3.45 seconds
  • Latency: 160 milliseconds to first token
  • Base Throughput: 500 tokens/second
  • Effective Throughput: 472 tokens/second (temperature-adjusted)

Best Use Cases

EU GovernmentCompliance-Heavy Finance

Want this applied to YOUR actual stack?

This calculator shows the math for Mistral Large 25.01. Your decision needs more — current infrastructure, compliance requirements, actual workload patterns, volume tiers — that change which model is right for you.

Get a $39 personalized AI Architecture Audit. PDF tailored to your stack, delivered in under 60 seconds. 7-day no-questions-asked refund.

Get my instant AI audit — $39 →

Llama 4 Maverick Meta 1000000

$0.096039 (rounded ~ $0.10)
Total Cost
🖼️ 1 Image (1080p) 📊 Batch API 🔧 Tools
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✓ Available
📄
OCR Support
✗ Not Available
📊
Batch API
✓ Available
⚡
Caching
✗ Not Available

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.096039 (rounded ~ $0.10) Input: $0.019239
Output: $0.076800 (rounded ~ $0.08)
Optimized Cost $0.096039 (rounded ~ $0.10) Input: $0.019239
Output: $0.076800 (rounded ~ $0.08)
Unit: $0.000000
Fees: $0.000000

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
258 tokens

Multimodal Input Details

🖼️ Images
Count: 1
Resolution: 1080p
Tokens: 258
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 128,000 input tokens and 128,000 output tokens:

  • Input Cost: $0.019239
  • Output Cost: $0.076800 (rounded ~ $0.08)
  • Total Cost: $0.096039 (rounded ~ $0.10)
  • Cost per 1K tokens: $0.000375
  • Tokens per dollar: 2,668,279 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 400 tokens per second and 150ms time to first token:

  • Processing Time: 11 minutes, 19.26 seconds
  • Latency: 150 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 377 tokens/second (temperature-adjusted)

Best Use Cases

EU GovernmentCompliance-Heavy Finance

Want this applied to YOUR actual stack?

This calculator shows the math for Llama 4 Maverick. Your decision needs more — current infrastructure, compliance requirements, actual workload patterns, volume tiers — that change which model is right for you.

Get a $39 personalized AI Architecture Audit. PDF tailored to your stack, delivered in under 60 seconds. 7-day no-questions-asked refund.

Get my instant AI audit — $39 →

✨ Market Recommendations AI Model Registry

← Back to Mistral Large 25.01
📋 Active Input Parameters
Input Tokens: 128,000
Output Tokens: 128,000
Batch API: Enabled (50% discount)
Images: 1 (1080p Resolution)
Tools: Enabled
Rank AI Model & Provider Total Cost vs Mistral Large 25.01 vs Llama 4 Maverick
🏆 Gemini 3.1 Flash Lite
Google
 $0.056016 (rounded ~ $0.06) Best Value ↓ 12.9% cheaper ↓ 41.7% cheaper
🥈 Mistral Large 3
Mistral AI
 $0.064282 (rounded ~ $0.06) Same price ↓ 33.1% cheaper
🥉 Gemini 3.5 Flash-Lite
Google
 $0.089619 ↑ 39.4% more ↓ 6.7% cheaper
#4 Gemini 2.5 Flash
Google
 $0.089619 ↑ 39.4% more ↓ 6.7% cheaper
#5 Llama 4 Maverick (400B)
Meta AI
 $0.096242 (rounded ~ $0.10) ↑ 49.7% more ↑ 0.2% more
#6 Gemini 3.8 Flash
Google
 $0.144048 (rounded ~ $0.14) ↑ 124.1% more ↑ 50% more
#7 GPT-5.4 mini
OpenAI
 $0.168048 (rounded ~ $0.17) ↑ 161.4% more ↑ 75% more
#8 Claude Haiku 4.5
Anthropic
 $0.192065 (rounded ~ $0.19) ↑ 198.8% more ↑ 100% more
#9 GPT-5.6 Luna
OpenAI
 $0.224065 (rounded ~ $0.22) ↑ 248.6% more ↑ 133.3% more
#10 Gemini 3.6 Flash
Google
 $0.288097 (rounded ~ $0.29) ↑ 348.2% more ↑ 200% more
#11 Gemini 3.5 Flash
Google
 $0.336097 (rounded ~ $0.34) ↑ 422.8% more ↑ 250% more
#12 Claude Sonnet 5
Anthropic
 $0.384129 (rounded ~ $0.38) ↑ 497.6% more ↑ 300% more
#13 Gemini 3.1 Flash
Google
 $0.448129 (rounded ~ $0.45) ↑ 597.1% more ↑ 366.6% more
#14 GPT-5.6 Terra
OpenAI
 $0.560161 ↑ 771.4% more ↑ 483.3% more
#15 Claude Sonnet 4.6
Anthropic
 $0.576194 (rounded ~ $0.58) ↑ 796.3% more ↑ 500% more
#16 Grok 4.3
xAI
 $0.768516 (rounded ~ $0.77) ↑ 1095.5% more ↑ 700.2% more
#17 Claude Opus 4.7
Anthropic
 $0.960323 ↑ 1393.9% more ↑ 899.9% more
#18 Claude Opus 5
Anthropic
 $0.960323 ↑ 1393.9% more ↑ 899.9% more
#19 Claude Opus 4.8
Anthropic
 $0.960323 ↑ 1393.9% more ↑ 899.9% more
#20 Claude Opus 4.6
Anthropic
 $0.960323 ↑ 1393.9% more ↑ 899.9% more
#21 GPT-5.4
OpenAI
 $1.120323 ↑ 1642.8% more ↑ 1066.5% more
#22 GPT-5.4 Thinking
OpenAI
 $1.120323 ↑ 1642.8% more ↑ 1066.5% more
#23 Gemini 2.5 Pro
Google
 $1.120323 ↑ 1642.8% more ↑ 1066.5% more
#24 GPT-5.5 Instant
OpenAI
 $1.120323 ↑ 1642.8% more ↑ 1066.5% more
#25 GPT-5.6 Sol
OpenAI
 $1.120323 ↑ 1642.8% more ↑ 1066.5% more
#26 Gemini 3.1 Pro
Google
 $1.408516 (rounded ~ $1.41) ↑ 2091.1% more ↑ 1366.6% more
#27 Claude Fable 5.1
Anthropic
 $1.920645 ↑ 2887.8% more ↑ 1899.9% more
#28 Claude Mythos 5.1
Anthropic
 $1.920645 ↑ 2887.8% more ↑ 1899.9% more
#29 Claude Fable 5
Anthropic
 $1.920645 ↑ 2887.8% more ↑ 1899.9% more
#30 Claude Mythos 5
Anthropic
 $1.920645 ↑ 2887.8% more ↑ 1899.9% more
#31 GPT-5.5
OpenAI
 $3.521290 (rounded ~ $3.52) ↑ 5377.9% more ↑ 3566.5% more
#32 GPT-5.5 Pro
OpenAI
 $6.721935 (rounded ~ $6.72) ↑ 10356.9% more ↑ 6899.2% more
#33 GPT-6 Astra
OpenAI
 $7.682580 (rounded ~ $7.68) ↑ 11851.3% more ↑ 7899.5% more
#34 GPT-6 Astra
OpenAI
 $7.682580 (rounded ~ $7.68) ↑ 11851.3% more ↑ 7899.5% more
🏆

Gemini 3.1 Flash Lite
Google

$0.056016 (rounded ~ $0.06)
vs Mistral Large 25.01: ↓ 12.9%
vs Llama 4 Maverick: ↓ 41.7%
🥈

Mistral Large 3
Mistral AI

$0.064282 (rounded ~ $0.06)
vs Mistral Large 25.01: Same
vs Llama 4 Maverick: ↓ 33.1%
🥉

Gemini 3.5 Flash-Lite
Google

$0.089619
vs Mistral Large 25.01: ↑ 39.4%
vs Llama 4 Maverick: ↓ 6.7%
#4

Gemini 2.5 Flash
Google

$0.089619
vs Mistral Large 25.01: ↑ 39.4%
vs Llama 4 Maverick: ↓ 6.7%
#5

Llama 4 Maverick (400B)
Meta AI

$0.096242 (rounded ~ $0.10)
vs Mistral Large 25.01: ↑ 49.7%
vs Llama 4 Maverick: ↑ 0.2%
#6

Gemini 3.8 Flash
Google

$0.144048 (rounded ~ $0.14)
vs Mistral Large 25.01: ↑ 124.1%
vs Llama 4 Maverick: ↑ 50%
#7

GPT-5.4 mini
OpenAI

$0.168048 (rounded ~ $0.17)
vs Mistral Large 25.01: ↑ 161.4%
vs Llama 4 Maverick: ↑ 75%
#8

Claude Haiku 4.5
Anthropic

$0.192065 (rounded ~ $0.19)
vs Mistral Large 25.01: ↑ 198.8%
vs Llama 4 Maverick: ↑ 100%
#9

GPT-5.6 Luna
OpenAI

$0.224065 (rounded ~ $0.22)
vs Mistral Large 25.01: ↑ 248.6%
vs Llama 4 Maverick: ↑ 133.3%
#10

Gemini 3.6 Flash
Google

$0.288097 (rounded ~ $0.29)
vs Mistral Large 25.01: ↑ 348.2%
vs Llama 4 Maverick: ↑ 200%
#11

Gemini 3.5 Flash
Google

$0.336097 (rounded ~ $0.34)
vs Mistral Large 25.01: ↑ 422.8%
vs Llama 4 Maverick: ↑ 250%
#12

Claude Sonnet 5
Anthropic

$0.384129 (rounded ~ $0.38)
vs Mistral Large 25.01: ↑ 497.6%
vs Llama 4 Maverick: ↑ 300%
#13

Gemini 3.1 Flash
Google

$0.448129 (rounded ~ $0.45)
vs Mistral Large 25.01: ↑ 597.1%
vs Llama 4 Maverick: ↑ 366.6%
#14

GPT-5.6 Terra
OpenAI

$0.560161
vs Mistral Large 25.01: ↑ 771.4%
vs Llama 4 Maverick: ↑ 483.3%
#15

Claude Sonnet 4.6
Anthropic

$0.576194 (rounded ~ $0.58)
vs Mistral Large 25.01: ↑ 796.3%
vs Llama 4 Maverick: ↑ 500%
#16

Grok 4.3
xAI

$0.768516 (rounded ~ $0.77)
vs Mistral Large 25.01: ↑ 1095.5%
vs Llama 4 Maverick: ↑ 700.2%
#17

Claude Opus 4.7
Anthropic

$0.960323
vs Mistral Large 25.01: ↑ 1393.9%
vs Llama 4 Maverick: ↑ 899.9%
#18

Claude Opus 5
Anthropic

$0.960323
vs Mistral Large 25.01: ↑ 1393.9%
vs Llama 4 Maverick: ↑ 899.9%
#19

Claude Opus 4.8
Anthropic

$0.960323
vs Mistral Large 25.01: ↑ 1393.9%
vs Llama 4 Maverick: ↑ 899.9%
#20

Claude Opus 4.6
Anthropic

$0.960323
vs Mistral Large 25.01: ↑ 1393.9%
vs Llama 4 Maverick: ↑ 899.9%
#21

GPT-5.4
OpenAI

$1.120323
vs Mistral Large 25.01: ↑ 1642.8%
vs Llama 4 Maverick: ↑ 1066.5%
#22

GPT-5.4 Thinking
OpenAI

$1.120323
vs Mistral Large 25.01: ↑ 1642.8%
vs Llama 4 Maverick: ↑ 1066.5%
#23

Gemini 2.5 Pro
Google

$1.120323
vs Mistral Large 25.01: ↑ 1642.8%
vs Llama 4 Maverick: ↑ 1066.5%
#24

GPT-5.5 Instant
OpenAI

$1.120323
vs Mistral Large 25.01: ↑ 1642.8%
vs Llama 4 Maverick: ↑ 1066.5%
#25

GPT-5.6 Sol
OpenAI

$1.120323
vs Mistral Large 25.01: ↑ 1642.8%
vs Llama 4 Maverick: ↑ 1066.5%
#26

Gemini 3.1 Pro
Google

$1.408516 (rounded ~ $1.41)
vs Mistral Large 25.01: ↑ 2091.1%
vs Llama 4 Maverick: ↑ 1366.6%
#27

Claude Fable 5.1
Anthropic

$1.920645
vs Mistral Large 25.01: ↑ 2887.8%
vs Llama 4 Maverick: ↑ 1899.9%
#28

Claude Mythos 5.1
Anthropic

$1.920645
vs Mistral Large 25.01: ↑ 2887.8%
vs Llama 4 Maverick: ↑ 1899.9%
#29

Claude Fable 5
Anthropic

$1.920645
vs Mistral Large 25.01: ↑ 2887.8%
vs Llama 4 Maverick: ↑ 1899.9%
#30

Claude Mythos 5
Anthropic

$1.920645
vs Mistral Large 25.01: ↑ 2887.8%
vs Llama 4 Maverick: ↑ 1899.9%
#31

GPT-5.5
OpenAI

$3.521290 (rounded ~ $3.52)
vs Mistral Large 25.01: ↑ 5377.9%
vs Llama 4 Maverick: ↑ 3566.5%
#32

GPT-5.5 Pro
OpenAI

$6.721935 (rounded ~ $6.72)
vs Mistral Large 25.01: ↑ 10356.9%
vs Llama 4 Maverick: ↑ 6899.2%
#33

GPT-6 Astra
OpenAI

$7.682580 (rounded ~ $7.68)
vs Mistral Large 25.01: ↑ 11851.3%
vs Llama 4 Maverick: ↑ 7899.5%
#34

GPT-6 Astra
OpenAI

$7.682580 (rounded ~ $7.68)
vs Mistral Large 25.01: ↑ 11851.3%
vs Llama 4 Maverick: ↑ 7899.5%
✨ 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.

Sovereignty vs Performance

Mistral Large 25.01 is the leading choice for EU-based enterprises requiring sovereign data hosting. Llama 4 Maverick offers slightly higher coding benchmarks but lacks the specific EU cloud compliance of Mistral. Mistral’s pricing is premium but includes regulatory peace of mind.

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 are image tokens calculated?
Images are tokenized based on resolution: Low: 85 tokens, Medium: 170 tokens, High: 255 tokens, Full: 765 tokens per image. Some models (like Llama 4 Maverick) use tile-based encoding with 1,610 tokens/image (standard) or 8,050 tokens/image (high-res).
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.