AI Fraud Detection: Financial Security 2026

Complete Analysis: 6,000,000,000 tokens for gpt-5
⚡ 20% Cached

Complete analysis of pricing, performance, and use cases for OpenAI's gpt-5 model with 20% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
$16625.050000 Total Cost
6,000,000,000 Total Tokens
3740 hours, 44 minutes, 26.00 seconds Processing Time
446 Effective Tokens/Sec
ℹ️ Note: Calculation represents bulk volume across multiple requests; single-request limit is 400,000 tokens.

Select AI Model

Gpt 5
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
$7446.300000Total Cost
$9625.000000Input Cost
$7000.000000Output Cost
$0.000000Unit Cost
$0.000000Search Cost
$0.000000Request Fee
$0.000000Tool Fee
$0.000000Code Execution
6,000,000,000Total Tokens
$0.001241Cost per 1K
805,769Tokens per $

Click Recalculate to update after making changes

Calculate Processing Speed

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224444m 26sProcessing Time
450Tokens/Second
200msTime to First Token
446Effective Speed

Model Comparison

Select a model to see comparisons with competitors.

Model Information

Select a model to see detailed information.

🔄 Advanced Options

⚡ Optimization
20%
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

gpt-5 OpenAI

$16625.050000
Total Cost
⚠️ Note: Calculation represents bulk volume across multiple requests; single-request limit is 400,000 tokens.
⚡ 20% 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

Base Cost (No Optimizations) $16625.050000 Input: $9625.000000
Output: $7000.000000
Optimized Cost $16625.050000 Input: $9625.000000
Output: $7000.000000
Unit: $0.000000
Fees: $0.050000
Total Savings $9178.750000 55.2% discount

Advanced Cost Breakdown

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

Detailed Cost Analysis

For 5,500,000,000 input tokens and 500,000,000 output tokens:

  • Input Cost: $9625.000000
  • Output Cost: $7000.000000
  • Service Fees: $0.050000
  • Total Cost: $16625.050000
  • Cost per 1K tokens: $0.001241 (rounded ~ 0.00)
  • Tokens per dollar: 805,769 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: 3740 hours, 44 minutes, 26.00 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 450 tokens/second
  • Effective Throughput: 446 tokens/second (temperature-adjusted)

Best Use Cases

Fraud detectionSecurityFinancial monitoring

Security Economics

Calculating costs for AI-powered fraud detection and financial security systems.

Detection Setup

  • Daily transactions: 10,000,000
  • Data per transaction: 500 tokens
  • Daily input: 5,000,000,000 tokens
  • Detection output: 500,000,000 tokens
  • Tools: Enabled for pattern recognition

Financial Security

Fraud detection, security systems, financial monitoring, risk management.

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 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.
What is the YemHub AI Calculator Tool?
The YemHub AI Calculator is the most comprehensive tool for estimating costs and comparing performance metrics across 44+ AI models. It calculates token-based pricing, analyzes multimodal processing, accounts for state-dependent pricing (context cliffs, tiered tunnels), and provides optimization recommendations.