Predictive Health Diagnostics: Multi-Modal Patient Audit

o4-mini vs gemini-3-pro
Complete Comparison: 128,000 input tokens × 20,000 output tokens
Comparison Mode (Custom field comparison)

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

🖼️ Multimodal Input ⚡ Caching Optimized (up to 90% savings)
Comparison Criteria o4-mini
OpenAI
gemini-3-pro
Google
Input Parameters Applied (50 images, 75% cached)
Input Tokens 128,000 128,000
Output Tokens 20,000 20,000
Calculation Results
Input Cost $0.140800 Best $0.256000 (rounded ~ 0.26) Worst
Output Cost $0.088000 (rounded ~ 0.09) Best $0.240000 Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.050000 $0.050000
Total Cost $0.278800 (rounded ~ 0.28) Best Value $0.546000 (rounded ~ 0.55) Most Expensive
Processing Time 13 minutes, 50.00 seconds Slowest 4 minutes, 59.00 seconds Fastest
Tokens per Second 180 Slowest 500 Fastest
Time to First Token 280ms Worst 200ms Best
Cost per 1K tokens $0.001242 (rounded ~ 0.00) Best $0.003689 (rounded ~ 0.00) Worst
Tokens per Dollar 805,398 Best Value 271,062 Worst Value
Cost per 1 Million Tokens
Input Cost / 1M (Base) $1.100000 Best $2.000000 Worst
Output Cost / 1M (Base) $4.400000 Best $12.000000 Worst
Input Cost / 1M (Optimized) $1.100000 Best
Optimizations: No optimizations applied
$2.000000 Worst
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $4.400000 Best
Optimizations: No optimizations applied
$12.000000 Worst
Optimizations: No optimizations applied
Capabilities
Images Support
50 images
✗ Not Supported ✗ Not Supported
Caching Support ✓ Supported ✗ Not Supported
Batch API Support Available ✗ Not Supported
Fine-Tuning Mode Standard Standard
Research Mode Not Enabled Not Enabled
Thinking Enabled Not Enabled Not Enabled
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🔄 Compare Different AI Models

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First Model

2

Second Model

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All other parameters will be preserved from the current comparison.

Select AI Model

o4-mini
OpenAIMax Context: 200,000 tokens
Input: $1.100000 / 1M
Output: $4.400000 / 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
$0.183760Total Cost
$0.140800Input Cost
$0.088000Output Cost
$0.000000Unit Cost
$0.000000Search Cost
$0.000000Request Fee
$0.000000Tool Fee
$0.000000Code Execution
148,000Total Tokens
$0.001242Cost per 1K
805,398Tokens per $

Click Recalculate to update after making changes

Calculate Processing Speed

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13m 50sProcessing Time
180Tokens/Second
280msTime to First Token
178Effective Speed

Model Comparison

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Model Information

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🔄 Advanced Options

⚡ Optimization
75%
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.

o4-mini OpenAI

$0.278800 (rounded ~ 0.28)
Total Cost
👁️
Vision/Images
✗ Not Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✗ Not Available
📄
OCR Support
✗ Not Available
📊
Batch API
✓ Available
⚡
Caching
✓ Available
90% savings

💰 Total Cost Calculation

Base Cost (No Optimizations) $0.278800 (rounded ~ 0.28) Input: $0.140800
Output: $0.088000 (rounded ~ 0.09)
Optimized Cost $0.278800 (rounded ~ 0.28) Input: $0.140800
Output: $0.088000 (rounded ~ 0.09)
Unit: $0.000000
Fees: $0.050000
Total Savings $0.095040 (rounded ~ 0.10) 34.1% discount

Advanced Cost Breakdown

💻 Code Execution
$0.050000
Flat fee per execution

Detailed Cost Analysis

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

  • Input Cost: $0.140800
  • Output Cost: $0.088000 (rounded ~ 0.09)
  • Unit Cost: $0.000000
  • Service Fees: $0.050000
  • Total Cost: $0.278800 (rounded ~ 0.28)
  • Cost per 1K tokens: $0.001242 (rounded ~ 0.00)
  • Tokens per dollar: 805,398 tokens
  • Context Window: 200000 tokens

Speed & Performance Analysis

With a processing speed of 180 tokens per second and 280ms time to first token:

  • Processing Time: 13 minutes, 50.00 seconds
  • Latency: 280 milliseconds to first token
  • Base Throughput: 180 tokens/second
  • Effective Throughput: 178 tokens/second

Best Use Cases

HealthcareBioinformaticsMedical Research

gemini-3-pro Google 2000000

$0.546000 (rounded ~ 0.55)
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) $0.546000 (rounded ~ 0.55) Input: $0.256000 (rounded ~ 0.26)
Output: $0.240000
Optimized Cost $0.546000 (rounded ~ 0.55) Input: $0.256000 (rounded ~ 0.26)
Output: $0.240000
Unit: $0.000000
Fees: $0.050000

Advanced Cost Breakdown

💻 Code Execution
$0.050000
Flat fee per execution

Detailed Cost Analysis

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

  • Input Cost: $0.256000 (rounded ~ 0.26)
  • Output Cost: $0.240000
  • Unit Cost: $0.000000
  • Service Fees: $0.050000
  • Total Cost: $0.546000 (rounded ~ 0.55)
  • Cost per 1K tokens: $0.003689 (rounded ~ 0.00)
  • Tokens per dollar: 271,062 tokens
  • Context Window: 2000000 tokens

Speed & Performance Analysis

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

  • Processing Time: 4 minutes, 59.00 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 500 tokens/second
  • Effective Throughput: 495 tokens/second

Best Use Cases

HealthcareBioinformaticsMedical Research

Medical Data Synthesis and Reasoning

Analyzing the cost of o4-mini’s reasoning for auditing longitudinal patient records. By using high-effort thinking tokens, the model cross-references imaging data with lab results to identify early-stage risk factors with high clinical accuracy.

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.
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.