1M-Token Batches: GPT-5.4 mini vs Gemini 3.5 Flash for Marketing A/B Testing

GPT-5.4 mini vs Gemini 3.5 Flash
Complete Comparison: 1,000,000 input tokens × 2,000 output tokens
Comparison Mode
⚡ 50% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 50% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria GPT-5.4 mini
OpenAI
Gemini 3.5 Flash
Google
Calculation Results (Current Inputs) (50% cached)
Input Tokens 1,000,000 1,000,000
Output Tokens 2,000 2,000
Cost Breakdown
Input Cost $0.187500 (rounded ~ $0.19)Best $0.375000 (rounded ~ $0.38)Worst
Output Cost $0.002250Best $0.004500Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.105375 (rounded ~ $0.11) Best Value $0.210750 Most Expensive
Processing Time 35 minutes, 44.46 seconds Slowest 21 minutes, 1.52 seconds Fastest
Tokens per Second 500Slowest 850Fastest
Time to First Token 180ms Worst 90ms Best
Cost per 1K tokens $0.000105Best $0.000210Worst
Tokens per Dollar 9,508,897Best Value 4,754,448Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.187500 (rounded ~ $0.19)Best $0.375000 (rounded ~ $0.38)Worst
Output Cost / 1M (Base) $1.125000 (rounded ~ $1.13)Best $2.250000Worst
Input Cost / 1M (Optimized) $0.093750 (rounded ~ $0.09)Best
Optimizations: 50.0% batch
$0.187500 (rounded ~ $0.19)Worst
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $0.562500 (rounded ~ $0.56)Best
Optimizations: 50.0% batch
$1.125000 (rounded ~ $1.13)Worst
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Video Support ✗ Not Supported ✓ Supported
Audio Support ✗ Not Supported ✓ Supported
Caching Support
50
✓ 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 400,000 tokens. Budgeting mode active.

Select AI Model

GPT-5.4 mini
OpenAIMax Context: 400,000 tokens
$0.75 / $4.5 per 1M tokens
▼
▼
Use Batch API (50% discount)
50%
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

$0.105375 Total Cost
$0.093750 Input Cost
$0.002250 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
1,002,000Total Tokens
$0.000105Cost per 1K
9,508,897Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

35m 44s Processing Time
500 Tokens/Second
180ms Time to First Token
467 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.

GPT-5.4 mini OpenAI

$0.105375 (rounded ~ $0.11)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 400,000 tokens. Budgeting mode active.
⚡ 50% 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) $0.189750 Input: $0.187500 (rounded ~ $0.19)
Output: $0.002250
Optimized Cost $0.105375 (rounded ~ $0.11) Input: $0.187500 (rounded ~ $0.19)
Output: $0.002250
Unit: $0.000000
Fees: $0.000000
Total Savings $0.084375 (rounded ~ $0.08) 44.5% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 1,000,000 input tokens and 2,000 output tokens:

  • Input Cost: $0.187500 (rounded ~ $0.19)
  • Output Cost: $0.002250
  • Total Cost: $0.105375 (rounded ~ $0.11)
  • Cost per 1K tokens: $0.000105
  • Tokens per dollar: 9,508,897 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: 35 minutes, 44.46 seconds
  • Latency: 180 milliseconds to first token
  • Base Throughput: 500 tokens/second
  • Effective Throughput: 467 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for high-volume marketing copy generation and A/B testing where consistent brand voice and rapid iteration are required.

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 →

Gemini 3.5 Flash Google 1000000

$0.210750
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
⚡ 50% 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) $0.379500 Input: $0.375000 (rounded ~ $0.38)
Output: $0.004500
Optimized Cost $0.210750 Input: $0.375000 (rounded ~ $0.38)
Output: $0.004500
Unit: $0.000000
Fees: $0.000000
Total Savings $0.168750 (rounded ~ $0.17) 44.5% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 1,000,000 input tokens and 2,000 output tokens:

  • Input Cost: $0.375000 (rounded ~ $0.38)
  • Output Cost: $0.004500
  • Total Cost: $0.210750
  • Cost per 1K tokens: $0.000210
  • Tokens per dollar: 4,754,448 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: 21 minutes, 1.52 seconds
  • Latency: 90 milliseconds to first token
  • Base Throughput: 850 tokens/second
  • Effective Throughput: 794 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for high-volume marketing copy generation and A/B testing where consistent brand voice and rapid iteration are required.

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 →

✨ Market Recommendations AI Model Registry

← Back to GPT-5.4 mini
📋 Active Input Parameters
Input Tokens: 1,000,000
Output Tokens: 2,000
Batch API: Enabled (50% discount)
Cached Tokens: 50%
Tools: Enabled
Rank AI Model & Provider Total Cost vs GPT-5.4 mini vs Gemini 3.5 Flash
🏆 Gemini 3.5 Flash-Lite
Google
 $0.042500 (rounded ~ $0.04) Best Value ↓ 59.7% cheaper ↓ 79.8% cheaper
🥈 Gemini 3.8 Flash
Google
 $0.105000 (rounded ~ $0.11) ↓ 0.4% cheaper ↓ 50.2% cheaper
🥉 Gemini 3.6 Flash
Google
 $0.210000 ↑ 99.3% more ↓ 0.4% cheaper
#4 Gemini 2.5 Pro
Google
 $0.702500 (rounded ~ $0.70) ↑ 566.7% more ↑ 233.3% more
#5 GPT-5.4
OpenAI
 $1.397500 (rounded ~ $1.40) ↑ 1226.2% more ↑ 563.1% more
#6 GPT-5.4 Thinking
OpenAI
 $1.397500 (rounded ~ $1.40) ↑ 1226.2% more ↑ 563.1% more
#7 GPT-6 Astra
OpenAI
 $5.600000 ↑ 5214.4% more ↑ 2557.2% more
#8 GPT-6 Astra
OpenAI
 $5.600000 ↑ 5214.4% more ↑ 2557.2% more
🏆

Gemini 3.5 Flash-Lite
Google

$0.042500 (rounded ~ $0.04)
vs GPT-5.4 mini: ↓ 59.7%
vs Gemini 3.5 Flash: ↓ 79.8%
🥈

Gemini 3.8 Flash
Google

$0.105000 (rounded ~ $0.11)
vs GPT-5.4 mini: ↓ 0.4%
vs Gemini 3.5 Flash: ↓ 50.2%
🥉

Gemini 3.6 Flash
Google

$0.210000
vs GPT-5.4 mini: ↑ 99.3%
vs Gemini 3.5 Flash: ↓ 0.4%
#4

Gemini 2.5 Pro
Google

$0.702500 (rounded ~ $0.70)
vs GPT-5.4 mini: ↑ 566.7%
vs Gemini 3.5 Flash: ↑ 233.3%
#5

GPT-5.4
OpenAI

$1.397500 (rounded ~ $1.40)
vs GPT-5.4 mini: ↑ 1226.2%
vs Gemini 3.5 Flash: ↑ 563.1%
#6

GPT-5.4 Thinking
OpenAI

$1.397500 (rounded ~ $1.40)
vs GPT-5.4 mini: ↑ 1226.2%
vs Gemini 3.5 Flash: ↑ 563.1%
#7

GPT-6 Astra
OpenAI

$5.600000
vs GPT-5.4 mini: ↑ 5214.4%
vs Gemini 3.5 Flash: ↑ 2557.2%
#8

GPT-6 Astra
OpenAI

$5.600000
vs GPT-5.4 mini: ↑ 5214.4%
vs Gemini 3.5 Flash: ↑ 2557.2%
✨ 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 marketing teams managing high-frequency A/B testing—where generating 20 distinct variations per campaign is the standard—selecting the right model is a critical architectural decision. At this scale, the primary friction points are latency, instruction adherence, and throughput efficiency.

GPT-5.4 mini and Gemini 3.5 Flash represent the frontier of efficient, high-throughput models. GPT-5.4 mini excels in structured instruction following, making it a reliable choice for teams that need to ensure brand voice consistency across thousands of variations without drifting into generic outputs. Its reasoning capabilities are specifically tuned for multi-turn interactions, which is helpful when your A/B pipeline requires the model to review previous performance data before generating new copy.

Conversely, Gemini 3.5 Flash provides a significant throughput advantage for massive parallel workloads. For marketing departments already operating within the Google Cloud ecosystem, its integration with existing Vertex AI pipelines offers a smoother path to deployment. Its native multimodal capabilities allow it to handle image and video context directly alongside text, which is an increasingly important requirement as A/B testing moves beyond simple text headlines into dynamic visual assets.

When evaluating these for your quarterly AI budget, look beyond the raw token costs. Consider the ‘time-to-launch’ for your campaigns. If your pipeline requires complex agentic orchestration—such as automatically iterating based on real-time conversion feedback—the model’s capability to handle multi-step tool calling effectively is the differentiator that will drive ROI, far outweighing minor differences in token throughput or base cost.

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.

Related model pricing

GPT-5.4 mini currently costs $0.75 / $4.50 per 1M tokens. These are the models worth pricing against it, taken live from the tracked registry.

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