Mistral Large 3 vs Claude 4.5 Sonnet: The European Choice

mistral-large-3 vs claude-sonnet-4.5
Complete Comparison: 128,000 input tokens × 20,000 output tokens
Comparison Mode
⚡ 40% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 40% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria mistral-large-3
Mistral
claude-sonnet-4.5
Anthropic
Calculation Results (Current Inputs) (40% cached)
Input Tokens 128,000 N/A (Special Pricing)
Output Tokens 20,000 N/A (Special Pricing)
Cost Breakdown
Input Cost $0.016000 (rounded ~ $0.02) N/A (Special Pricing)
Output Cost $0.007500 (rounded ~ $0.01) N/A (Special Pricing)
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.017740 (rounded ~ $0.02) Best Value $0.136440 (rounded ~ $0.14) Most Expensive
Processing Time 5 minutes, 2.10 seconds Fastest 5 minutes, 35.65 seconds Slowest
Tokens per Second 500 N/A (Special Pricing)
Time to First Token 160ms Best 200ms Worst
Cost per 1K tokens $0.000120 N/A (Special Pricing)
Tokens per Dollar 8,342,728 N/A (Special Pricing)
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.125000 (rounded ~ $0.13) N/A (Special Pricing)
Output Cost / 1M (Base) $0.375000 (rounded ~ $0.38) N/A (Special Pricing)
Input Cost / 1M (Optimized) $0.062500 (rounded ~ $0.06)
Optimizations: 50.0% batch
N/A (Special Pricing)
Output Cost / 1M (Optimized) $0.187500 (rounded ~ $0.19)
Optimizations: 50.0% batch
N/A (Special Pricing)
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Caching Support
40
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
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Select AI Model

Mistral Large 3
Mistral AIMax Context: 256,000 tokens
$0.5 / $1.5 per 1M tokens
▼
▼
Use Batch API (50% discount)
40%
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

$0.017740 Total Cost
$0.009600 Input Cost
$0.007500 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
148,000Total Tokens
$0.000120Cost per 1K
8,342,728Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

5m 2s Processing Time
500 Tokens/Second
160ms Time to First Token
490 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-3 Mistral

$0.017740 (rounded ~ $0.02)
Total Cost
⚡ 40% Cached 📊 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) $0.023500 (rounded ~ $0.02) Input: $0.016000 (rounded ~ $0.02)
Output: $0.007500 (rounded ~ $0.01)
Optimized Cost $0.017740 (rounded ~ $0.02) Input: $0.016000 (rounded ~ $0.02)
Output: $0.007500 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.005760 (rounded ~ $0.01) 24.5% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 128,000 input tokens and 20,000 output tokens:

  • Input Cost: $0.016000 (rounded ~ $0.02)
  • Output Cost: $0.007500 (rounded ~ $0.01)
  • Total Cost: $0.017740 (rounded ~ $0.02)
  • Cost per 1K tokens: $0.000120
  • Tokens per dollar: 8,342,728 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: 5 minutes, 2.10 seconds
  • Latency: 160 milliseconds to first token
  • Base Throughput: 500 tokens/second
  • Effective Throughput: 490 tokens/second (temperature-adjusted)

Best Use Cases

EU ComplianceMultilingual SupportDocument Processing

Want this applied to YOUR actual stack?

This calculator shows the math for mistral-large-3. 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.

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claude-sonnet-4.5 Anthropic 1000000

$0.136440 (rounded ~ $0.14)
Total Cost
⚡ 40% Cached 📊 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) $0.171000 Input: $0.096000 (rounded ~ $0.10)
Output: $0.075000 (rounded ~ $0.08)
Optimized Cost $0.136440 (rounded ~ $0.14) Input: $0.096000 (rounded ~ $0.10)
Output: $0.075000 (rounded ~ $0.08)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.034560 (rounded ~ $0.03) 20.2% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 128,000 input tokens and 20,000 output tokens:

  • Input Cost: $0.096000 (rounded ~ $0.10)
  • Output Cost: $0.075000 (rounded ~ $0.08)
  • Total Cost: $0.136440 (rounded ~ $0.14)
  • Cost per 1K tokens: $0.000922
  • Tokens per dollar: 1,084,726 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 450 tokens per second and 200ms time to first token:

  • Processing Time: 5 minutes, 35.65 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 450 tokens/second
  • Effective Throughput: 441 tokens/second (temperature-adjusted)

Best Use Cases

EU ComplianceMultilingual SupportDocument Processing

Want this applied to YOUR actual stack?

This calculator shows the math for claude-sonnet-4.5. 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-3
📋 Active Input Parameters
Input Tokens: 128,000
Output Tokens: 20,000
Batch API: Enabled (50% discount)
Cached Tokens: 40%
Tools: Enabled
Rank AI Model & Provider Total Cost vs mistral-large-3 vs claude-sonnet-4.5
🏆 Grok Code Fast 1
xAI
 $0.011596 (rounded ~ $0.01) Best Value ↓ 34.6% cheaper ↓ 91.5% cheaper
🥈 Gemini 3.1 Flash Lite
Google
 $0.012620 (rounded ~ $0.01) ↓ 28.9% cheaper ↓ 90.8% cheaper
🥉 Gemini 2.5 Flash
Google
 $0.018644 (rounded ~ $0.02) ↑ 5.1% more ↓ 86.3% cheaper
#4 GPT-5.4 mini
OpenAI
 $0.037860 (rounded ~ $0.04) ↑ 113.4% more ↓ 72.3% cheaper
#5 Grok 4.3
xAI
 $0.038100 (rounded ~ $0.04) ↑ 114.8% more ↓ 72.1% cheaper
#6 o4-mini
OpenAI
 $0.044528 (rounded ~ $0.04) ↑ 151% more ↓ 67.4% cheaper
#7 Claude Haiku 4.5
Anthropic
 $0.045480 (rounded ~ $0.05) ↑ 156.4% more ↓ 66.7% cheaper
#8 Gemini 3.1 Flash
Google
 $0.050480 ↑ 184.6% more ↓ 63% cheaper
#9 Grok 4.20 Beta
xAI
 $0.070960 ↑ 300% more ↓ 48% cheaper
#10 Gemini 3.5 Flash
Google
 $0.075720 (rounded ~ $0.08) ↑ 326.8% more ↓ 44.5% cheaper
#11 GPT-5.3 Codex Spark
OpenAI
 $0.105840 (rounded ~ $0.11) ↑ 496.6% more ↓ 22.4% cheaper
#12 Claude Sonnet 4.6
Anthropic
 $0.136440 (rounded ~ $0.14) ↑ 669.1% more Same price
#13 Gemini 2.5 Pro
Google
 $0.151200 (rounded ~ $0.15) ↑ 752.3% more ↑ 10.8% more
#14 Gemini 3.1 Pro
Google
 $0.201920 (rounded ~ $0.20) ↑ 1038.2% more ↑ 48% more
#15 Claude Opus 4.7
Anthropic
 $0.227400 (rounded ~ $0.23) ↑ 1181.8% more ↑ 66.7% more
#16 Claude Opus 4.8
Anthropic
 $0.227400 (rounded ~ $0.23) ↑ 1181.8% more ↑ 66.7% more
#17 Claude Opus 4.6
Anthropic
 $0.227400 (rounded ~ $0.23) ↑ 1181.8% more ↑ 66.7% more
#18 GPT-5.4
OpenAI
 $0.252400 (rounded ~ $0.25) ↑ 1322.8% more ↑ 85% more
#19 GPT-5.4 Thinking
OpenAI
 $0.252400 (rounded ~ $0.25) ↑ 1322.8% more ↑ 85% more
#20 GPT-5.5 Instant
OpenAI
 $0.252400 (rounded ~ $0.25) ↑ 1322.8% more ↑ 85% more
#21 o3 Deep Research
OpenAI
 $0.404800 (rounded ~ $0.40) ↑ 2181.8% more ↑ 196.7% more
#22 GPT-5.5
OpenAI
 $0.504800 (rounded ~ $0.50) ↑ 2745.5% more ↑ 270% more
#23 o3 Pro
OpenAI
 $0.809600 ↑ 4463.7% more ↑ 493.4% more
#24 o3 Pro
OpenAI
 $0.809600 ↑ 4463.7% more ↑ 493.4% more
🏆

Grok Code Fast 1
xAI

$0.011596 (rounded ~ $0.01)
vs mistral-large-3: ↓ 34.6%
vs claude-sonnet-4.5: ↓ 91.5%
🥈

Gemini 3.1 Flash Lite
Google

$0.012620 (rounded ~ $0.01)
vs mistral-large-3: ↓ 28.9%
vs claude-sonnet-4.5: ↓ 90.8%
🥉

Gemini 2.5 Flash
Google

$0.018644 (rounded ~ $0.02)
vs mistral-large-3: ↑ 5.1%
vs claude-sonnet-4.5: ↓ 86.3%
#4

GPT-5.4 mini
OpenAI

$0.037860 (rounded ~ $0.04)
vs mistral-large-3: ↑ 113.4%
vs claude-sonnet-4.5: ↓ 72.3%
#5

Grok 4.3
xAI

$0.038100 (rounded ~ $0.04)
vs mistral-large-3: ↑ 114.8%
vs claude-sonnet-4.5: ↓ 72.1%
#6

o4-mini
OpenAI

$0.044528 (rounded ~ $0.04)
vs mistral-large-3: ↑ 151%
vs claude-sonnet-4.5: ↓ 67.4%
#7

Claude Haiku 4.5
Anthropic

$0.045480 (rounded ~ $0.05)
vs mistral-large-3: ↑ 156.4%
vs claude-sonnet-4.5: ↓ 66.7%
#8

Gemini 3.1 Flash
Google

$0.050480
vs mistral-large-3: ↑ 184.6%
vs claude-sonnet-4.5: ↓ 63%
#9

Grok 4.20 Beta
xAI

$0.070960
vs mistral-large-3: ↑ 300%
vs claude-sonnet-4.5: ↓ 48%
#10

Gemini 3.5 Flash
Google

$0.075720 (rounded ~ $0.08)
vs mistral-large-3: ↑ 326.8%
vs claude-sonnet-4.5: ↓ 44.5%
#11

GPT-5.3 Codex Spark
OpenAI

$0.105840 (rounded ~ $0.11)
vs mistral-large-3: ↑ 496.6%
vs claude-sonnet-4.5: ↓ 22.4%
#12

Claude Sonnet 4.6
Anthropic

$0.136440 (rounded ~ $0.14)
vs mistral-large-3: ↑ 669.1%
vs claude-sonnet-4.5: Same
#13

Gemini 2.5 Pro
Google

$0.151200 (rounded ~ $0.15)
vs mistral-large-3: ↑ 752.3%
vs claude-sonnet-4.5: ↑ 10.8%
#14

Gemini 3.1 Pro
Google

$0.201920 (rounded ~ $0.20)
vs mistral-large-3: ↑ 1038.2%
vs claude-sonnet-4.5: ↑ 48%
#15

Claude Opus 4.7
Anthropic

$0.227400 (rounded ~ $0.23)
vs mistral-large-3: ↑ 1181.8%
vs claude-sonnet-4.5: ↑ 66.7%
#16

Claude Opus 4.8
Anthropic

$0.227400 (rounded ~ $0.23)
vs mistral-large-3: ↑ 1181.8%
vs claude-sonnet-4.5: ↑ 66.7%
#17

Claude Opus 4.6
Anthropic

$0.227400 (rounded ~ $0.23)
vs mistral-large-3: ↑ 1181.8%
vs claude-sonnet-4.5: ↑ 66.7%
#18

GPT-5.4
OpenAI

$0.252400 (rounded ~ $0.25)
vs mistral-large-3: ↑ 1322.8%
vs claude-sonnet-4.5: ↑ 85%
#19

GPT-5.4 Thinking
OpenAI

$0.252400 (rounded ~ $0.25)
vs mistral-large-3: ↑ 1322.8%
vs claude-sonnet-4.5: ↑ 85%
#20

GPT-5.5 Instant
OpenAI

$0.252400 (rounded ~ $0.25)
vs mistral-large-3: ↑ 1322.8%
vs claude-sonnet-4.5: ↑ 85%
#21

o3 Deep Research
OpenAI

$0.404800 (rounded ~ $0.40)
vs mistral-large-3: ↑ 2181.8%
vs claude-sonnet-4.5: ↑ 196.7%
#22

GPT-5.5
OpenAI

$0.504800 (rounded ~ $0.50)
vs mistral-large-3: ↑ 2745.5%
vs claude-sonnet-4.5: ↑ 270%
#23

o3 Pro
OpenAI

$0.809600
vs mistral-large-3: ↑ 4463.7%
vs claude-sonnet-4.5: ↑ 493.4%
#24

o3 Pro
OpenAI

$0.809600
vs mistral-large-3: ↑ 4463.7%
vs claude-sonnet-4.5: ↑ 493.4%
✨ 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.

Sovereign AI vs Silicon Valley Giants

Mistral Large 3 offers superior performance for multilingual tasks and GDPR-compliant deployments. We compare its token pricing against the global standard set by Anthropic’s Claude 4.5 Sonnet for enterprise-grade applications in the EU.

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 does prompt caching work?
Caching discounts vary by provider: Google and OpenAI offer 90% discounts on cached input tokens. Anthropic uses write (1.25x) and read (0.10x) multipliers. Savings are applied to the token portion only, not unit-based fees.
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.