Gemini 3 Flash vs GPT-5 Mini: Speed-First Economics

gemini-3-flash vs gpt-5-mini
Complete Comparison: 5,000 input tokens × 1,000 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 gemini-3-flash
Google
gpt-5-mini
OpenAI
Input Parameters Applied (80% cached)
Input Tokens 5,000 5,000
Output Tokens 1,000 1,000
Calculation Results
Input Cost $0.005000 (rounded ~ 0.01) Best $0.025000 (rounded ~ 0.03) Worst
Output Cost $0.005000 (rounded ~ 0.01) Best $0.025000 (rounded ~ 0.03) Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.050000 $0.050000
Total Cost $0.060000 Best Value $0.100000 Most Expensive
Processing Time 8.06 seconds Fastest 12.78 seconds Slowest
Tokens per Second 800 Fastest 500 Slowest
Time to First Token 100ms Best 200ms Worst
Cost per 1K tokens $0.008867 (rounded ~ 0.01) Best $0.016667 (rounded ~ 0.02) Worst
Tokens per Dollar 112,782 Best Value 60,000 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) $0.500000 Best
Optimizations: 50.0% batch
$5.000000 Worst
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $2.500000 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
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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
$0.053200Total Cost
$0.005000Input Cost
$0.005000Output Cost
$0.000000Unit Cost
$0.000000Search Cost
$0.000000Request Fee
$0.000000Tool Fee
$0.000000Code Execution
6,000Total Tokens
$0.008867Cost per 1K
112,782Tokens per $

Click Recalculate to update after making changes

Calculate Processing Speed

▼
8.06sProcessing Time
800Tokens/Second
100msTime to First Token
762Effective 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

$0.060000
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) $0.060000 Input: $0.005000 (rounded ~ 0.01)
Output: $0.005000 (rounded ~ 0.01)
Optimized Cost $0.060000 Input: $0.005000 (rounded ~ 0.01)
Output: $0.005000 (rounded ~ 0.01)
Unit: $0.000000
Fees: $0.050000
Total Savings $0.006800 (rounded ~ 0.01) 11.3% discount

Advanced Cost Breakdown

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

Detailed Cost Analysis

For 5,000 input tokens and 1,000 output tokens:

  • Input Cost: $0.005000 (rounded ~ 0.01)
  • Output Cost: $0.005000 (rounded ~ 0.01)
  • Unit Cost: $0.000000
  • Service Fees: $0.050000
  • Total Cost: $0.060000
  • Cost per 1K tokens: $0.008867 (rounded ~ 0.01)
  • Tokens per dollar: 112,782 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: 8.00 seconds
  • Latency: 100 milliseconds to first token
  • Base Throughput: 800 tokens/second
  • Effective Throughput: 762 tokens/second

Best Use Cases

Customer SupportReal-time ChatTranslation

gpt-5-mini OpenAI

$0.100000
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) $0.100000 Input: $0.025000 (rounded ~ 0.03)
Output: $0.025000 (rounded ~ 0.03)
Optimized Cost $0.100000 Input: $0.025000 (rounded ~ 0.03)
Output: $0.025000 (rounded ~ 0.03)
Unit: $0.000000
Fees: $0.050000

Advanced Cost Breakdown

💻 Code Execution
$0.050000
Flat fee per execution

Detailed Cost Analysis

For 5,000 input tokens and 1,000 output tokens:

  • Input Cost: $0.025000 (rounded ~ 0.03)
  • Output Cost: $0.025000 (rounded ~ 0.03)
  • Unit Cost: $0.000000
  • Service Fees: $0.050000
  • Total Cost: $0.100000
  • Cost per 1K tokens: $0.016667 (rounded ~ 0.02)
  • Tokens per dollar: 60,000 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: 12.00 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 500 tokens/second
  • Effective Throughput: 476 tokens/second

Best Use Cases

Customer SupportReal-time ChatTranslation

Real-Time API Performance Benchmarks

When sub-200ms latency is the priority, Gemini 3 Flash and GPT-5 Mini are the primary contenders. We analyze the cost per 1,000 requests for high-volume customer support bots where speed directly impacts user retention.

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.