Interactive Gaming: NPC Dialogue & Logic Generation

gemini-3-flash vs gpt-5-nano
Complete Comparison: 50,000 input tokens × 5,000 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 gemini-3-flash
Google
gpt-5-nano
OpenAI
Input Parameters Applied (1 images, 80% cached)
Input Tokens 50,000 50,000
Output Tokens 5,000 5,000
Calculation Results
Input Cost $0.050516 Best $0.250000 Worst
Output Cost $0.025000 (rounded ~ 0.03) Best $0.125000 (rounded ~ 0.13) Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.050000 $0.050000
Total Cost $0.125516 (rounded ~ 0.13) Best Value $0.425000 (rounded ~ 0.43) Most Expensive
Processing Time 1 minute, 15.00 seconds Fastest 2 minutes Slowest
Tokens per Second 800 Fastest 500 Slowest
Time to First Token 100ms Best 200ms Worst
Cost per 1K tokens $0.001606 (rounded ~ 0.00) Best $0.007727 (rounded ~ 0.01) Worst
Tokens per Dollar 622,764 Best Value 129,412 Worst Value
Cost per 1 Million Tokens
Input Cost / 1M (Base) $1.000000 Best $5.000000 Worst
Output Cost / 1M (Base) $5.000000 Best $25.000000 Worst
Input Cost / 1M (Optimized) $1.000000 Best
Optimizations: No optimizations applied
$5.000000 Worst
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $5.000000 Best
Optimizations: No optimizations applied
$25.000000 Worst
Optimizations: No optimizations applied
Capabilities
Images Support
1 images
✓ 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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Second Model

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All other parameters will be preserved from the current comparison.

Select AI Model

Gemini 3 Flash
GoogleMax Context: 1,000,000 tokens
Input: $1.000000 / 1M
Output: $5.000000 / 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
$0.089144Total Cost
$0.050516Input Cost
$0.025000Output Cost
$0.000000Unit Cost
$0.000000Search Cost
$0.000000Request Fee
$0.000000Tool Fee
$0.000000Code Execution
55,516Total Tokens
$0.001606Cost per 1K
622,764Tokens per $

Click Recalculate to update after making changes

Calculate Processing Speed

▼
1m 15sProcessing Time
800Tokens/Second
100msTime to First Token
734Effective Speed

Model Comparison

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Model Information

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🔄 Advanced Options

⚡ Optimization
80%
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.

gemini-3-flash Google 1000000

$0.125516 (rounded ~ 0.13)
Total Cost
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✓ Available
🎥
Video Analysis
✓ Available
🔧
Tool Usage
✓ Available
📄
OCR Support
✗ Not Available
📊
Batch API
✓ Available
⚡
Caching
✓ Available
90% savings

💰 Total Cost Calculation

Base Cost (No Optimizations) $0.125516 (rounded ~ 0.13) Input: $0.050516
Output: $0.025000 (rounded ~ 0.03)
Optimized Cost $0.125516 (rounded ~ 0.13) Input: $0.050516
Output: $0.025000 (rounded ~ 0.03)
Unit: $0.000000
Fees: $0.050000
Total Savings $0.036372 (rounded ~ 0.04) 29.0% discount

Advanced Cost Breakdown

🖼️ Multimodal Input
$0.000000
516 tokens
💻 Code Execution
$0.050000
Flat fee per execution

Multimodal Input Details

🖼️ Images
Count: 1
Resolution: Medium
Tokens: 516
Cost: $0.000000

Detailed Cost Analysis

For 50,000 input tokens and 5,000 output tokens:

  • Input Cost: $0.050516
  • Output Cost: $0.025000 (rounded ~ 0.03)
  • Unit Cost: $0.000000
  • Service Fees: $0.050000
  • Total Cost: $0.125516 (rounded ~ 0.13)
  • Cost per 1K tokens: $0.001606 (rounded ~ 0.00)
  • Tokens per dollar: 622,764 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 800 tokens per second and 100ms time to first token:

  • Processing Time: 1 minute, 15.00 seconds
  • Latency: 100 milliseconds to first token
  • Base Throughput: 800 tokens/second
  • Effective Throughput: 734 tokens/second

Best Use Cases

Game DevelopmentMetaverseInteractive Fiction

gpt-5-nano OpenAI

$0.425000 (rounded ~ 0.43)
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) $0.425000 (rounded ~ 0.43) Input: $0.250000
Output: $0.125000 (rounded ~ 0.13)
Optimized Cost $0.425000 (rounded ~ 0.43) Input: $0.250000
Output: $0.125000 (rounded ~ 0.13)
Unit: $0.000000
Fees: $0.050000

Advanced Cost Breakdown

💻 Code Execution
$0.050000
Flat fee per execution

Detailed Cost Analysis

For 50,000 input tokens and 5,000 output tokens:

  • Input Cost: $0.250000
  • Output Cost: $0.125000 (rounded ~ 0.13)
  • Unit Cost: $0.000000
  • Service Fees: $0.050000
  • Total Cost: $0.425000 (rounded ~ 0.43)
  • Cost per 1K tokens: $0.007727 (rounded ~ 0.01)
  • Tokens per dollar: 129,412 tokens
  • Context Window: 400000 tokens

Speed & Performance Analysis

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

  • Processing Time: 2 minutes
  • Latency: 200 milliseconds to first token
  • Base Throughput: 500 tokens/second
  • Effective Throughput: 459 tokens/second

Best Use Cases

Game DevelopmentMetaverseInteractive Fiction

Infinite World Building with Low-Latency AI

Benchmarking Gemini 3 Flash for real-time NPC interactions in open-world games. This setup uses multimodal input to allow NPCs to ‘see’ the player’s actions while maintaining extremely low latency for immersive gameplay.

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.