GPT-5.4 mini vs Gemini 3.1 Flash for 100K-Token Newsletter Batches

GPT-5.4 mini vs Gemini 3.1 Flash
Complete Comparison: 100,000 input tokens × 5,000 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 3.1 Flash
Google
Calculation Results (Current Inputs) (50% cached)
Input Tokens 100,000 100,000
Output Tokens 5,000 5,000
Cost Breakdown
Input Cost $0.018750 (rounded ~ $0.02)Best $0.025000 (rounded ~ $0.03)Worst
Output Cost $0.005625 (rounded ~ $0.01)Best $0.007500 (rounded ~ $0.01)Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.015938 (rounded ~ $0.02) Best Value $0.021250 (rounded ~ $0.02) Most Expensive
Processing Time 3 minutes, 44.88 seconds Slowest 2 minutes, 20.62 seconds Fastest
Tokens per Second 500Slowest 800Fastest
Time to First Token 180ms Worst 100ms Best
Cost per 1K tokens $0.000152Best $0.000202Worst
Tokens per Dollar 6,588,235Best Value 4,941,176Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.187500 (rounded ~ $0.19)Best $0.250000Worst
Output Cost / 1M (Base) $1.125000 (rounded ~ $1.13)Best $1.500000Worst
Input Cost / 1M (Optimized) $0.093750 (rounded ~ $0.09)Best
Optimizations: 50.0% batch
$0.125000 (rounded ~ $0.13)Worst
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $0.562500 (rounded ~ $0.56)Best
Optimizations: 50.0% batch
$0.750000Worst
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
Scroll horizontally to see all data

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All other parameters will be preserved from the current comparison.

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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

$0.015938 Total Cost
$0.009375 Input Cost
$0.005625 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
105,000Total Tokens
$0.000152Cost per 1K
6,588,235Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

3m 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

$0.015938 (rounded ~ $0.02)
Total Cost
⚡ 50% Cached 📊 Batch API
👁️
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) $0.024375 (rounded ~ $0.02) Input: $0.018750 (rounded ~ $0.02)
Output: $0.005625 (rounded ~ $0.01)
Optimized Cost $0.015938 (rounded ~ $0.02) Input: $0.018750 (rounded ~ $0.02)
Output: $0.005625 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.008438 (rounded ~ $0.01) 34.6% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 100,000 input tokens and 5,000 output tokens:

  • Input Cost: $0.018750 (rounded ~ $0.02)
  • Output Cost: $0.005625 (rounded ~ $0.01)
  • Total Cost: $0.015938 (rounded ~ $0.02)
  • Cost per 1K tokens: $0.000152
  • Tokens per dollar: 6,588,235 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: 3 minutes, 44.88 seconds
  • Latency: 180 milliseconds to first token
  • Base Throughput: 500 tokens/second
  • Effective Throughput: 467 tokens/second (temperature-adjusted)

Best Use Cases

Best for high-volumecost-sensitive text generation tasks like batch newsletter personalization and automated content refinement.

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 3.1 Flash Google 1000000

$0.021250 (rounded ~ $0.02)
Total Cost
⚡ 50% Cached 📊 Batch API
👁️
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) $0.032500 (rounded ~ $0.03) Input: $0.025000 (rounded ~ $0.03)
Output: $0.007500 (rounded ~ $0.01)
Optimized Cost $0.021250 (rounded ~ $0.02) Input: $0.025000 (rounded ~ $0.03)
Output: $0.007500 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.011250 (rounded ~ $0.01) 34.6% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount
📊 Dynamic Tier
Standard
tier1 pricing based on 0 tokens

Detailed Cost Analysis (from Plugin)

For 100,000 input tokens and 5,000 output tokens:

  • Input Cost: $0.025000 (rounded ~ $0.03)
  • Output Cost: $0.007500 (rounded ~ $0.01)
  • Total Cost: $0.021250 (rounded ~ $0.02)
  • Cost per 1K tokens: $0.000202
  • Tokens per dollar: 4,941,176 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: 2 minutes, 20.62 seconds
  • Latency: 100 milliseconds to first token
  • Base Throughput: 800 tokens/second
  • Effective Throughput: 748 tokens/second (temperature-adjusted)

Best Use Cases

Best for high-volumecost-sensitive text generation tasks like batch newsletter personalization and automated content refinement.

Want this applied to YOUR actual stack?

This calculator shows the math for Gemini 3.1 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: 100,000
Output Tokens: 5,000
Batch API: Enabled (50% discount)
Cached Tokens: 50%
Rank AI Model & Provider Total Cost vs GPT-5.4 mini vs Gemini 3.1 Flash
🏆 Mistral Small 3
Mistral AI
 $0.001750 Best Value ↓ 89% cheaper ↓ 91.8% cheaper
🥈 Devstral Small 2
Mistral AI
 $0.001750 ↓ 89% cheaper ↓ 91.8% cheaper
🥉 Grok Code Fast 1
xAI
 $0.004625 ↓ 71% cheaper ↓ 78.2% cheaper
#4 Nemotron 3 Super
Mistral AI
 $0.005150 (rounded ~ $0.01) ↓ 67.7% cheaper ↓ 75.8% cheaper
#5 Gemini 3.1 Flash Lite
Google
 $0.005313 (rounded ~ $0.01) ↓ 66.7% cheaper ↓ 75% cheaper
#6 Devstral 2
Mistral AI
 $0.006625 (rounded ~ $0.01) ↓ 58.4% cheaper ↓ 68.8% cheaper
#7 Gemini 2.5 Flash
Google
 $0.007250 (rounded ~ $0.01) ↓ 54.5% cheaper ↓ 65.9% cheaper
#8 Mistral Large 3
Mistral AI
 $0.008750 (rounded ~ $0.01) ↓ 45.1% cheaper ↓ 58.8% cheaper
#9 o4-mini Deep Research
OpenAI
 $0.018750 (rounded ~ $0.02) ↑ 17.6% more ↓ 11.8% cheaper
#10 Claude Haiku 4.5
Anthropic
 $0.020000 ↑ 25.5% more ↓ 5.9% cheaper
#11 Grok 4.3
xAI
 $0.020313 ↑ 27.5% more ↓ 4.4% cheaper
#12 o4-mini
OpenAI
 $0.020625 ↑ 29.4% more ↓ 2.9% cheaper
#13 Gemini 3.1 Flash
Google
 $0.021250 (rounded ~ $0.02) ↑ 33.3% more Same price
#14 Gemini 3.5 Flash
Google
 $0.031875 (rounded ~ $0.03) ↑ 100% more ↑ 50% more
#15 Magistral Medium
Mistral AI
 $0.033750 (rounded ~ $0.03) ↑ 111.8% more ↑ 58.8% more
#16 Grok 4.20 Beta
xAI
 $0.035000 (rounded ~ $0.04) ↑ 119.6% more ↑ 64.7% more
#17 GPT-5.3 Codex Spark
OpenAI
 $0.041563 (rounded ~ $0.04) ↑ 160.8% more ↑ 95.6% more
#18 GPT-5.3 Instant
OpenAI
 $0.041563 (rounded ~ $0.04) ↑ 160.8% more ↑ 95.6% more
#19 Gemini 2.5 Pro
Google
 $0.059375 ↑ 272.5% more ↑ 179.4% more
#20 Claude Sonnet 4.6
Anthropic
 $0.060000 ↑ 276.5% more ↑ 182.4% more
#21 Gemini 3.1 Pro
Google
 $0.085000 (rounded ~ $0.09) ↑ 433.3% more ↑ 300% more
#22 Claude Opus 4.7
Anthropic
 $0.100000 ↑ 527.5% more ↑ 370.6% more
#23 Claude Opus 4.8
Anthropic
 $0.100000 ↑ 527.5% more ↑ 370.6% more
#24 Claude Opus 4.6
Anthropic
 $0.100000 ↑ 527.5% more ↑ 370.6% more
#25 GPT-5.4
OpenAI
 $0.106250 (rounded ~ $0.11) ↑ 566.7% more ↑ 400% more
#26 GPT-5.4 Thinking
OpenAI
 $0.106250 (rounded ~ $0.11) ↑ 566.7% more ↑ 400% more
#27 GPT-5.5 Instant
OpenAI
 $0.106250 (rounded ~ $0.11) ↑ 566.7% more ↑ 400% more
#28 o3 Deep Research
OpenAI
 $0.187500 (rounded ~ $0.19) ↑ 1076.5% more ↑ 782.4% more
#29 GPT-5.5
OpenAI
 $0.212500 (rounded ~ $0.21) ↑ 1233.3% more ↑ 900% more
#30 o3 Pro
OpenAI
 $0.375000 (rounded ~ $0.38) ↑ 2252.9% more ↑ 1664.7% more
#31 GPT-5.2 Pro
OpenAI
 $0.498750 (rounded ~ $0.50) ↑ 3029.4% more ↑ 2247.1% more
#32 GPT-5.2 Pro
OpenAI
 $0.498750 (rounded ~ $0.50) ↑ 3029.4% more ↑ 2247.1% more
🏆

Mistral Small 3
Mistral AI

$0.001750
vs GPT-5.4 mini: ↓ 89%
vs Gemini 3.1 Flash: ↓ 91.8%
🥈

Devstral Small 2
Mistral AI

$0.001750
vs GPT-5.4 mini: ↓ 89%
vs Gemini 3.1 Flash: ↓ 91.8%
🥉

Grok Code Fast 1
xAI

$0.004625
vs GPT-5.4 mini: ↓ 71%
vs Gemini 3.1 Flash: ↓ 78.2%
#4

Nemotron 3 Super
Mistral AI

$0.005150 (rounded ~ $0.01)
vs GPT-5.4 mini: ↓ 67.7%
vs Gemini 3.1 Flash: ↓ 75.8%
#5

Gemini 3.1 Flash Lite
Google

$0.005313 (rounded ~ $0.01)
vs GPT-5.4 mini: ↓ 66.7%
vs Gemini 3.1 Flash: ↓ 75%
#6

Devstral 2
Mistral AI

$0.006625 (rounded ~ $0.01)
vs GPT-5.4 mini: ↓ 58.4%
vs Gemini 3.1 Flash: ↓ 68.8%
#7

Gemini 2.5 Flash
Google

$0.007250 (rounded ~ $0.01)
vs GPT-5.4 mini: ↓ 54.5%
vs Gemini 3.1 Flash: ↓ 65.9%
#8

Mistral Large 3
Mistral AI

$0.008750 (rounded ~ $0.01)
vs GPT-5.4 mini: ↓ 45.1%
vs Gemini 3.1 Flash: ↓ 58.8%
#9

o4-mini Deep Research
OpenAI

$0.018750 (rounded ~ $0.02)
vs GPT-5.4 mini: ↑ 17.6%
vs Gemini 3.1 Flash: ↓ 11.8%
#10

Claude Haiku 4.5
Anthropic

$0.020000
vs GPT-5.4 mini: ↑ 25.5%
vs Gemini 3.1 Flash: ↓ 5.9%
#11

Grok 4.3
xAI

$0.020313
vs GPT-5.4 mini: ↑ 27.5%
vs Gemini 3.1 Flash: ↓ 4.4%
#12

o4-mini
OpenAI

$0.020625
vs GPT-5.4 mini: ↑ 29.4%
vs Gemini 3.1 Flash: ↓ 2.9%
#13

Gemini 3.1 Flash
Google

$0.021250 (rounded ~ $0.02)
vs GPT-5.4 mini: ↑ 33.3%
vs Gemini 3.1 Flash: Same
#14

Gemini 3.5 Flash
Google

$0.031875 (rounded ~ $0.03)
vs GPT-5.4 mini: ↑ 100%
vs Gemini 3.1 Flash: ↑ 50%
#15

Magistral Medium
Mistral AI

$0.033750 (rounded ~ $0.03)
vs GPT-5.4 mini: ↑ 111.8%
vs Gemini 3.1 Flash: ↑ 58.8%
#16

Grok 4.20 Beta
xAI

$0.035000 (rounded ~ $0.04)
vs GPT-5.4 mini: ↑ 119.6%
vs Gemini 3.1 Flash: ↑ 64.7%
#17

GPT-5.3 Codex Spark
OpenAI

$0.041563 (rounded ~ $0.04)
vs GPT-5.4 mini: ↑ 160.8%
vs Gemini 3.1 Flash: ↑ 95.6%
#18

GPT-5.3 Instant
OpenAI

$0.041563 (rounded ~ $0.04)
vs GPT-5.4 mini: ↑ 160.8%
vs Gemini 3.1 Flash: ↑ 95.6%
#19

Gemini 2.5 Pro
Google

$0.059375
vs GPT-5.4 mini: ↑ 272.5%
vs Gemini 3.1 Flash: ↑ 179.4%
#20

Claude Sonnet 4.6
Anthropic

$0.060000
vs GPT-5.4 mini: ↑ 276.5%
vs Gemini 3.1 Flash: ↑ 182.4%
#21

Gemini 3.1 Pro
Google

$0.085000 (rounded ~ $0.09)
vs GPT-5.4 mini: ↑ 433.3%
vs Gemini 3.1 Flash: ↑ 300%
#22

Claude Opus 4.7
Anthropic

$0.100000
vs GPT-5.4 mini: ↑ 527.5%
vs Gemini 3.1 Flash: ↑ 370.6%
#23

Claude Opus 4.8
Anthropic

$0.100000
vs GPT-5.4 mini: ↑ 527.5%
vs Gemini 3.1 Flash: ↑ 370.6%
#24

Claude Opus 4.6
Anthropic

$0.100000
vs GPT-5.4 mini: ↑ 527.5%
vs Gemini 3.1 Flash: ↑ 370.6%
#25

GPT-5.4
OpenAI

$0.106250 (rounded ~ $0.11)
vs GPT-5.4 mini: ↑ 566.7%
vs Gemini 3.1 Flash: ↑ 400%
#26

GPT-5.4 Thinking
OpenAI

$0.106250 (rounded ~ $0.11)
vs GPT-5.4 mini: ↑ 566.7%
vs Gemini 3.1 Flash: ↑ 400%
#27

GPT-5.5 Instant
OpenAI

$0.106250 (rounded ~ $0.11)
vs GPT-5.4 mini: ↑ 566.7%
vs Gemini 3.1 Flash: ↑ 400%
#28

o3 Deep Research
OpenAI

$0.187500 (rounded ~ $0.19)
vs GPT-5.4 mini: ↑ 1076.5%
vs Gemini 3.1 Flash: ↑ 782.4%
#29

GPT-5.5
OpenAI

$0.212500 (rounded ~ $0.21)
vs GPT-5.4 mini: ↑ 1233.3%
vs Gemini 3.1 Flash: ↑ 900%
#30

o3 Pro
OpenAI

$0.375000 (rounded ~ $0.38)
vs GPT-5.4 mini: ↑ 2252.9%
vs Gemini 3.1 Flash: ↑ 1664.7%
#31

GPT-5.2 Pro
OpenAI

$0.498750 (rounded ~ $0.50)
vs GPT-5.4 mini: ↑ 3029.4%
vs Gemini 3.1 Flash: ↑ 2247.1%
#32

GPT-5.2 Pro
OpenAI

$0.498750 (rounded ~ $0.50)
vs GPT-5.4 mini: ↑ 3029.4%
vs Gemini 3.1 Flash: ↑ 2247.1%
✨ 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.

Generating personalized newsletter intros for a 10K-subscriber list requires a delicate balance between cost, speed, and creative quality. When handling batch workloads of this size, you are essentially looking for an inference engine that minimizes latency while maintaining a consistent tone across thousands of unique variations. Your goal is to maximize throughput without sacrificing the personal touch that keeps engagement high.

GPT-5.4 mini is a compelling option for this use case. Its compact architecture allows for rapid response times, which is critical when you have a large queue of subscribers waiting for their content. Developers often favor it for its ability to follow strict formatting instructions, ensuring that every intro adheres to the required character limits and brand voice without drifting. The model is tuned for efficiency, making it highly reliable for repetitive text generation tasks where consistency is king.

Gemini 3.1 Flash offers a distinct advantage for developers who prioritize high-concurrency performance. It excels in high-throughput scenarios and is optimized for efficient batch processing, which is essential if you are generating content in bulk. Its ability to parse structured data—such as subscriber preferences or interaction history—efficiently makes it a strong contender for pipelines where you need to ingest user data to inform the personalization logic. Choosing between them often comes down to your existing infrastructure. If your app is already heavily integrated with OpenAI, the familiarity of the API may streamline your cycle. Otherwise, Gemini 3.1 Flash is a formidable choice for massive subscriber lists requiring aggressive scaling.

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.