Email Drafting at Scale: 800K Tokens Daily with Gemini 3.5 Flash vs GPT-5.4 Mini

Gemini 3.5 Flash vs GPT-5.4 mini
Complete Comparison: 800,000 input tokens × 300,000 output tokens
Comparison Mode
⚡ 20% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 20% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria Gemini 3.5 Flash
Google
GPT-5.4 mini
OpenAI
Calculation Results (Current Inputs) (20% cached)
Input Tokens 800,000 800,000
Output Tokens 300,000 300,000
Cost Breakdown
Input Cost $0.300000Worst $0.150000Best
Output Cost $0.675000 (rounded ~ $0.68)Worst $0.337500 (rounded ~ $0.34)Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.921000 (rounded ~ $0.92) Most Expensive $0.460500 Best Value
Processing Time 23 minutes, 4.89 seconds Fastest 39 minutes, 14.18 seconds Slowest
Tokens per Second 850Fastest 500Slowest
Time to First Token 90ms Best 180ms Worst
Cost per 1K tokens $0.000837Worst $0.000419Best
Tokens per Dollar 1,194,354Worst Value 2,388,708Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.375000 (rounded ~ $0.38)Worst $0.187500 (rounded ~ $0.19)Best
Output Cost / 1M (Base) $2.250000Worst $1.125000 (rounded ~ $1.13)Best
Input Cost / 1M (Optimized) $0.187500 (rounded ~ $0.19)Worst
Optimizations: 50.0% batch
$0.093750 (rounded ~ $0.09)Best
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $1.125000 (rounded ~ $1.13)Worst
Optimizations: 50.0% batch
$0.562500 (rounded ~ $0.56)Best
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Video Support ✓ Supported ✗ Not Supported
Audio Support ✓ Supported ✗ Not Supported
Caching Support
20
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
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ℹ️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.

Select AI Model

Gemini 3.5 Flash
GoogleMax Context: 1,000,000 tokens
$1.5 / $9 per 1M tokens
Use Batch API (50% discount)
20%
Provider-specific multipliers applied after all calculations
Enable for cache discounts
Select platform to enforce context limits
Number of requests (max 1M). Summary view auto-enabled >10k.

Calculate Token Costs

$0.240000 Input Cost
$0.675000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
1,100,000Total Tokens
$0.000837Cost per 1K
1,194,354Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

23m 4s Processing Time
850 Tokens/Second
90ms Time to First Token
794 Effective Speed

Model Comparison

Select a model to see comparisons with competitors.

Model Information

Select a model to see detailed information.

🔄 Advanced Options

⚡ Optimization
Flat fee per session (e.g., $0.03 for Code Interpreter)
Hourly storage fee for cached data
First 50 hours free, $0.05/hour after

🧠 Reasoning & Thinking
Manual thinking tokens (billed at output rate)

🔧 Special Modes
Enable 6.0x Fast Mode multiplier

📚 Research & Citations
Enable $1.00/$4.00 rates + $10.00/1k search
Enable research tier pricing
Fee per source cited

🎤 Realtime Audio & Video
Session length for billing
📊 Multiple Models Detected: This page contains data for 2 models. See the detailed comparison table above, and switch between models using tabs below.

Gemini 3.5 Flash Google 1000000

$0.921000 (rounded ~ $0.92)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
⚡ 20% Cached 📊 Batch API 🔧 Tools
👁️
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 (from Plugin)

Base Cost (No Optimizations) $0.975000 (rounded ~ $0.98) Input: $0.300000
Output: $0.675000 (rounded ~ $0.68)
Optimized Cost $0.921000 (rounded ~ $0.92) Input: $0.300000
Output: $0.675000 (rounded ~ $0.68)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.054000 (rounded ~ $0.05) 5.5% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 800,000 input tokens and 300,000 output tokens:

  • Input Cost: $0.300000
  • Output Cost: $0.675000 (rounded ~ $0.68)
  • Total Cost: $0.921000 (rounded ~ $0.92)
  • Cost per 1K tokens: $0.000837
  • Tokens per dollar: 1,194,354 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 850 tokens per second and 90ms time to first token:

  • Processing Time: 23 minutes, 4.89 seconds
  • Latency: 90 milliseconds to first token
  • Base Throughput: 850 tokens/second
  • Effective Throughput: 794 tokens/second (temperature-adjusted)

Best Use Cases

High-volumecost-effective email drafting where speed and instruction adherence are the primary requirements.

Want this applied to YOUR actual stack?

This calculator shows the math for Gemini 3.5 Flash. Your decision needs more — current infrastructure, compliance requirements, actual workload patterns, volume tiers — that change which model is right for you.

Get a $39 personalized AI Architecture Audit. PDF tailored to your stack, delivered in under 60 seconds. 7-day no-questions-asked refund.

Get my instant AI audit — $39 →

GPT-5.4 mini OpenAI

$0.460500
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 400,000 tokens. Budgeting mode active.
⚡ 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 (from Plugin)

Base Cost (No Optimizations) $0.487500 (rounded ~ $0.49) Input: $0.150000
Output: $0.337500 (rounded ~ $0.34)
Optimized Cost $0.460500 Input: $0.150000
Output: $0.337500 (rounded ~ $0.34)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.027000 (rounded ~ $0.03) 5.5% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 800,000 input tokens and 300,000 output tokens:

  • Input Cost: $0.150000
  • Output Cost: $0.337500 (rounded ~ $0.34)
  • Total Cost: $0.460500
  • Cost per 1K tokens: $0.000419
  • Tokens per dollar: 2,388,708 tokens
  • Context Window: 400000 tokens

Speed & Performance Analysis

With a processing speed of 500 tokens per second and 180ms time to first token:

  • Processing Time: 39 minutes, 14.18 seconds
  • Latency: 180 milliseconds to first token
  • Base Throughput: 500 tokens/second
  • Effective Throughput: 467 tokens/second (temperature-adjusted)

Best Use Cases

High-volumecost-effective email drafting where speed and instruction adherence are the primary requirements.

Want this applied to YOUR actual stack?

This calculator shows the math for GPT-5.4 mini. Your decision needs more — current infrastructure, compliance requirements, actual workload patterns, volume tiers — that change which model is right for you.

Get a $39 personalized AI Architecture Audit. PDF tailored to your stack, delivered in under 60 seconds. 7-day no-questions-asked refund.

Get my instant AI audit — $39 →

✨ Market Recommendations AI Model Registry

← Back to Gemini 3.5 Flash
📋 Active Input Parameters
Input Tokens: 800,000
Output Tokens: 300,000
Batch API: Enabled (50% discount)
Cached Tokens: 20%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Gemini 3.5 Flash vs GPT-5.4 mini
🏆 Gemini 2.5 Pro
Google
$3.070000 Best Value ↑ 233.3% more ↑ 566.7% more
🏆

Gemini 2.5 Pro
Google

$3.070000
vs Gemini 3.5 Flash: ↑ 233.3%
vs GPT-5.4 mini: ↑ 566.7%
✨ How recommendations work (v8.6.0): We scan all active models in the registry and only include those that support ALL your current inputs. For token-based models, we check if they can handle your token counts. For special pricing models (OCR, video, audio), we verify they have the correct pricing structure. Features marked requested were in your inputs but not supported by that model. Now using official provider pricing without reseller markups.

For financial analysts and marketing teams scaling cold outreach, the balance between creative depth and operational efficiency is critical. Gemini 3.5 Flash and GPT-5.4 Mini represent the current frontline of high-throughput automated communication. When drafting 500 personalized emails per day, the primary challenge is not just generating text, but maintaining a consistent, human-like tone that avoids generic AI markers.

Gemini 3.5 Flash excels in environments where multi-modal input processing—such as referencing previous email threads, CRM data, or attached prospect documentation—is required at speed. Its ability to maintain coherence across high-volume streams makes it a workhorse for B2B prospecting. Conversely, GPT-5.4 Mini is often preferred for teams prioritizing strict instruction-following and structured output. If your workflow involves complex prompt chains or requires rigid adherence to specific brand guidelines, the Mini model provides a predictable baseline that minimizes iterative refining.

For email marketers, the decision often hinges on ‘instruction density.’ If your templates are simple, both models perform adequately, but if you are injecting dynamic variables from a CRM for each of the 500 daily interactions, the structural integrity of the output becomes the differentiator. Evaluate these models based on their latency in real-time drafting pipelines; smaller, faster models often result in lower total round-trip times, which is essential for responsive sales agents. Always test with a subset of your actual prospect data to see which model captures your brand voice most authentically.

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. Note: Reseller markups and dedicated instance multipliers have been removed to reflect official provider 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.
How do Market Recommendations work (v8.6.0)?
Our recommendation engine scans the entire model registry and only includes models that support ALL your current input parameters (tokens, images, video, audio, OCR, tools, batch API, etc.). It calculates exact costs with your settings and sorts by price, showing you the best value options that can handle your complete workflow. Special pricing models (OCR, video, audio, image generation) are properly handled and only appear when their specific input types are requested. v8.6.0 removes reseller markups (20% buffer) and dedicated instance multipliers to reflect official provider 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 50+ AI models. It calculates token-based pricing, analyzes multimodal processing, accounts for state-dependent pricing (context cliffs, tiered tunnels), provides optimization recommendations, and now offers intelligent market matching to find the best alternatives for your specific needs.