Supply Chain Optimization: Global Logistics Routing

gpt-5-2-instant vs claude-sonnet-4.5
Complete Comparison: 400,000 input tokens × 30,000 output tokens
Comparison Mode (Custom field comparison)

Complete comparison of pricing, performance, and capabilities for 2 leading AI models and caching optimization .

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria gpt-5-2-instant
OpenAI
claude-sonnet-4.5
Anthropic
Input Parameters Applied (50% cached)
Input Tokens 400,000 400,000
Output Tokens 30,000 30,000
Calculation Results
Input Cost $0.700000 Best $2.000000 Worst
Output Cost $0.420000 Best $0.750000 Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.050000 $0.050000
Total Cost $1.170000 Best Value $2.800000 Most Expensive
Processing Time 16 minutes, 14.00 seconds Slowest 14 minutes, 37.00 seconds Fastest
Tokens per Second 450 Slowest 500 Fastest
Time to First Token 200ms 200ms
Cost per 1K tokens $0.001052 (rounded ~ 0.00) Best $0.006512 (rounded ~ 0.01) Worst
Tokens per Dollar 950,276 Best Value 153,571 Worst Value
Cost per 1 Million Tokens
Input Cost / 1M (Base) $1.750000 Best $5.000000 Worst
Output Cost / 1M (Base) $14.000000 Best $25.000000 Worst
Input Cost / 1M (Optimized) $0.875000 (rounded ~ 0.88) Best
Optimizations: 50.0% batch
$5.000000 Worst
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $7.000000 Best
Optimizations: 50.0% batch
$25.000000 Worst
Optimizations: No optimizations applied
Capabilities
Caching Support ✓ Supported ✗ Not Supported
Batch API Support ✓ Enabled ✗ Not Supported
Fine-Tuning Mode Standard Standard
Research Mode Not Enabled Not Enabled
Thinking Enabled Not Enabled Not Enabled
Scroll horizontally to see all data

🔄 Compare Different AI Models

1

First Model

2

Second Model

Select providers and models above, then click "Compare Models" to update the comparison.
All other parameters will be preserved from the current comparison.

ℹ️ Note: Calculation represents bulk volume across multiple requests; single-request limit is 400,000 tokens.

Select AI Model

Gpt 5 2
OpenAIMax Context: 400,000 tokens
Input: $1.750000 / 1M
Output: $14.000000 / 1M

Calculate Token Costs

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▼
Provider-specific multipliers applied after all calculations
Enable for Haiku 4.5 hard cap bypass
Select platform to enforce context limits
Number of requests (max 1M). Summary view auto-enabled >10k.
Multiply total cost by quantity for project budgeting
$0.452500Total Cost
$0.700000Input Cost
$0.420000Output Cost
$0.000000Unit Cost
$0.000000Search Cost
$0.000000Request Fee
$0.000000Tool Fee
$0.000000Code Execution
430,000Total Tokens
$0.001052Cost per 1K
950,276Tokens per $

Click Recalculate to update after making changes

Calculate Processing Speed

▼
16m 14sProcessing Time
450Tokens/Second
200msTime to First Token
441Effective Speed

Model Comparison

Select a model to see comparisons with competitors.

Model Information

Select a model to see detailed information.

🔄 Advanced Options

⚡ Optimization
50%
Flat fee per session (e.g., $0.03 for Code Interpreter)
Hourly storage fee for cached data (Pro: $4.50/1M/hr, Flash: $1.00/1M/hr)
First 50 hours free, $0.05/hour after (reset at 00:00 UTC)
🧠 Specialized Modes
Enable Thinking Mode (Google models)
Manual thinking tokens (billed at output rate, disabled by default)
Adaptive thinking token estimation for DeepSeek models
30% output surcharge (Vertex AI priority)
Billed at output rate × reasoning multiplier
Global 2x multiplier for priority processing
Enable Reasoning/Thinking Mode (DeepSeek R1, Grok Deep Reason)
Enable Agentic Swarm
🔧 Automated Service Fees
Enable for DeepSeek V4 ($0.01 per 1M tokens)
Enable code execution (adds $0.05 flat fee)
$0.01 per query (auto-applied based on Search Queries input)
🤖 xAI Agent Tools (Unified $5.00/1k)
Real-time X data access calls
Standard internet search calls
Python sandbox execution calls (overrides flat fee if set)
📚 xAI RAG Tools (Unified $2.50/1k)
File search tool access
Collections/RAG knowledge base access - aggregated with File Search at $2.50/1k
ℹ️ Updated xAI Tool Pricing: Agent tools (web, X, code) at $5.00/1k calls. RAG tools (collections, file) at $2.50/1k calls. Integer code_execution_calls overrides boolean.
🎤 Realtime Audio & Deep Research
Enable Deep Research ($2.00/$8.00 rates)
Session length for billing ($0.01 per minute, rounded up)
Active speech time within session
📄 Mistral AI - Unit-Based Options
Number of pages to process with OCR (tiered pricing auto-applied)
Enable HTML table reconstruction surcharge
Duration-based audio processing (not token-based)
Enable speaker diarization (Voxtral models only)
Enable context biasing (Voxtral models only)
🔬 Research & Citation
Enable research tier pricing ($2.00/$8.00 + $0.005/query)
Enable reasoning with 1,000 token floor ($0.015 min)
Fee per source cited when research mode is enabled
⚙️ Performance Tuning
Low = Fast
High = Creative
📊 Advanced Cost Breakdown
📊 Multiple Models Detected: This page contains data for 2 models. See the detailed comparison table above, and switch between models using tabs below.

gpt-5-2-instant OpenAI

$1.170000
Total Cost
⚠️ Note: Calculation represents bulk volume across multiple requests; single-request limit is 400,000 tokens.
👁️
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

Base Cost (No Optimizations) $1.170000 Input: $0.700000
Output: $0.420000
Optimized Cost $1.170000 Input: $0.700000
Output: $0.420000
Unit: $0.000000
Fees: $0.050000
Total Savings $0.717500 (rounded ~ 0.72) 61.3% discount

Advanced Cost Breakdown

📊 Batch API
50.0% off
Asynchronous processing
💻 Code Execution
$0.050000
Flat fee per execution

Detailed Cost Analysis

For 400,000 input tokens and 30,000 output tokens:

  • Input Cost: $0.700000
  • Output Cost: $0.420000
  • Unit Cost: $0.000000
  • Service Fees: $0.050000
  • Total Cost: $1.170000
  • Cost per 1K tokens: $0.001052 (rounded ~ 0.00)
  • Tokens per dollar: 950,276 tokens
  • Context Window: 400000 tokens

Speed & Performance Analysis

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

  • Processing Time: 16 minutes, 14.00 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 450 tokens/second
  • Effective Throughput: 441 tokens/second

Best Use Cases

LogisticsSupply ChainOperations Research

claude-sonnet-4.5 Anthropic 1000000

$2.800000
Total Cost
👁️
Vision/Images
✗ Not Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✗ Not Available
📄
OCR Support
✗ Not Available
📊
Batch API
✗ Not Available
⚡
Caching
✗ Not Available

💰 Total Cost Calculation

Base Cost (No Optimizations) $2.800000 Input: $2.000000
Output: $0.750000
Optimized Cost $2.800000 Input: $2.000000
Output: $0.750000
Unit: $0.000000
Fees: $0.050000

Advanced Cost Breakdown

💻 Code Execution
$0.050000
Flat fee per execution

Detailed Cost Analysis

For 400,000 input tokens and 30,000 output tokens:

  • Input Cost: $2.000000
  • Output Cost: $0.750000
  • Unit Cost: $0.000000
  • Service Fees: $0.050000
  • Total Cost: $2.800000
  • Cost per 1K tokens: $0.006512 (rounded ~ 0.01)
  • Tokens per dollar: 153,571 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 500 tokens per second and 200ms time to first token:

  • Processing Time: 14 minutes, 37.00 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 500 tokens/second
  • Effective Throughput: 490 tokens/second

Best Use Cases

LogisticsSupply ChainOperations Research

Complex Logistics Orchestration

Evaluating GPT-5.2 Workhorse for global supply chain rerouting. The model uses its 97% tool-calling accuracy to connect with shipping APIs and weather satellites to minimize fuel costs and delivery delays across 10,000 nodes.

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.
What is the YemHub AI Calculator Tool?
The YemHub AI Calculator is the most comprehensive tool for estimating costs and comparing performance metrics across 38 AI models. It calculates token-based pricing, analyzes multimodal processing, and provides optimization recommendations.