Medical imaging analysis with GPT-5.2 Pro high-resolution images

Complete Analysis: 44,955 tokens for gpt-5-2-thinking
🖼️ 15 Images

Complete analysis of pricing, performance, and use cases for OpenAI's gpt-5-2-thinking model with 15 Images.

🖼️ Multimodal Input
$2.464055 (rounded ~ 2.46) Total Cost
44,955 Total Tokens
2 minutes, 11.00 seconds Processing Time
343 Effective Tokens/Sec

Select AI Model

GPT-5.2 Thinking
OpenAIMax Context: 400,000 tokens
Input: $21.000000 / 1M
Output: $168.000000 / 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
$2.464055Total Cost
$0.734055Input Cost
$1.680000Output Cost
$0.000000Unit Cost
$0.000000Search Cost
$0.000000Request Fee
$0.000000Tool Fee
$0.000000Code Execution
44,955Total Tokens
$0.054812Cost per 1K
18,244Tokens per $

Click Recalculate to update after making changes

Calculate Processing Speed

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2m 11sProcessing Time
350Tokens/Second
250msTime to First Token
343Effective Speed

Model Comparison

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Model Information

Select a model to see detailed information.

🔄 Advanced Options

⚡ Optimization
0%
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-5-2-thinking OpenAI

$2.464055 (rounded ~ 2.46)
Total Cost
🖼️ 15 Image (Full) 🔧 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) $2.464055 (rounded ~ 2.46) Input: $0.734055 (rounded ~ 0.73)
Output: $1.680000
Optimized Cost $2.464055 (rounded ~ 2.46) Input: $0.734055 (rounded ~ 0.73)
Output: $1.680000
Unit: $0.000000
Fees: $0.050000

Advanced Cost Breakdown

🖼️ Multimodal Input
$0.000000
15,480 tokens
💻 Code Execution
$0.050000
Flat fee per execution

Multimodal Input Details

🖼️ Images
Count: 15
Resolution: Full
Tokens: 15,480
Cost: $0.000000

Detailed Cost Analysis

For 19,475 input tokens and 10,000 output tokens:

  • Input Cost: $0.734055 (rounded ~ 0.73)
  • Output Cost: $1.680000
  • Service Fees: $0.050000
  • Total Cost: $2.464055 (rounded ~ 2.46)
  • Cost per 1K tokens: $0.054812 (rounded ~ 0.05)
  • Tokens per dollar: 18,244 tokens
  • Context Window: 400000 tokens

Speed & Performance Analysis

With a processing speed of 350 tokens per second and 250ms time to first token:

  • Processing Time: 2 minutes, 11.00 seconds
  • Latency: 250 milliseconds to first token
  • Base Throughput: 350 tokens/second
  • Effective Throughput: 343 tokens/second (temperature-adjusted)

Best Use Cases

Medical imagingDiagnostic supportHealthcare

Medical Image Analysis Cost

High-resolution medical imaging requires full-resolution tokenization. GPT-5.2 Pro offers premium accuracy for diagnostic applications.

Medical Imaging Setup

  • Medical Images: 15 scans
  • Resolution: Full (765 tokens each)
  • Image Tokens: 11,475 total
  • Analysis Prompt: 8,000 tokens
  • Diagnostic Output: 10,000 tokens
  • Tool Usage: Enabled for medical reference

Healthcare Applications

X-ray analysis, MRI interpretation, ultrasound review, diagnostic support, medical research.

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 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).
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.