GPT-5.4 mini vs Gemini 3.1 Flash Lite for 100K-Token Clinical Note Formalization

GPT-5.4 mini vs Gemini 3.1 Flash Lite
Complete Comparison: 100,000 input tokens × 15,000 output tokens
Comparison Mode
⚡ 25% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 25% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria GPT-5.4 mini
OpenAI
Gemini 3.1 Flash Lite
Google
Calculation Results (Current Inputs) (25% cached)
Input Tokens 100,000 100,000
Output Tokens 15,000 15,000
Cost Breakdown
Input Cost $0.018750 (rounded ~ $0.02)Worst $0.006250 (rounded ~ $0.01)Best
Output Cost $0.016875 (rounded ~ $0.02)Worst $0.005625 (rounded ~ $0.01)Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.031406 (rounded ~ $0.03) Most Expensive $0.010469 Best Value
Processing Time 3 minutes, 57.08 seconds Slowest 1 minute, 58.63 seconds Fastest
Tokens per Second 500Slowest 1,000Fastest
Time to First Token 180ms Worst 80ms Best
Cost per 1K tokens $0.000273Worst $0.000091Best
Tokens per Dollar 3,661,692Worst Value 10,985,075Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.187500 (rounded ~ $0.19)Worst $0.062500 (rounded ~ $0.06)Best
Output Cost / 1M (Base) $1.125000 (rounded ~ $1.13)Worst $0.375000 (rounded ~ $0.38)Best
Input Cost / 1M (Optimized) $0.093750 (rounded ~ $0.09)Worst
Optimizations: 50.0% batch
$0.031250 (rounded ~ $0.03)Best
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $0.562500 (rounded ~ $0.56)Worst
Optimizations: 50.0% batch
$0.187500 (rounded ~ $0.19)Best
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Video Support ✗ Not Supported ✓ Supported
Audio Support ✗ Not Supported ✓ Supported
OCR Support ✗ Not Supported ✓ Supported
Caching Support
25
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
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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)
25%
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

$0.031406 Total Cost
$0.014063 Input Cost
$0.016875 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
115,000Total Tokens
$0.000273Cost per 1K
3,661,692Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

3m 57s Processing Time
500 Tokens/Second
180ms Time to First Token
485 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

$0.031406 (rounded ~ $0.03)
Total Cost
⚡ 25% 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) $0.035625 (rounded ~ $0.04) Input: $0.018750 (rounded ~ $0.02)
Output: $0.016875 (rounded ~ $0.02)
Optimized Cost $0.031406 (rounded ~ $0.03) Input: $0.018750 (rounded ~ $0.02)
Output: $0.016875 (rounded ~ $0.02)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.004219 11.8% 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 15,000 output tokens:

  • Input Cost: $0.018750 (rounded ~ $0.02)
  • Output Cost: $0.016875 (rounded ~ $0.02)
  • Total Cost: $0.031406 (rounded ~ $0.03)
  • Cost per 1K tokens: $0.000273
  • Tokens per dollar: 3,661,692 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, 57.08 seconds
  • Latency: 180 milliseconds to first token
  • Base Throughput: 500 tokens/second
  • Effective Throughput: 485 tokens/second (temperature-adjusted)

Best Use Cases

High-volume clinical record formalization where low cost and high reliability in structured data extraction 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.

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Gemini 3.1 Flash Lite Google 1000000

$0.010469
Total Cost
⚡ 25% Cached 📊 Batch API
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✓ Available
🎥
Video Analysis
✓ Available
🔧
Tool Usage
✓ Available
📄
OCR Support
✓ Available
📊
Batch API
✓ Available
⚡
Caching
✓ Available
90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.011875 (rounded ~ $0.01) Input: $0.006250 (rounded ~ $0.01)
Output: $0.005625 (rounded ~ $0.01)
Optimized Cost $0.010469 Input: $0.006250 (rounded ~ $0.01)
Output: $0.005625 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.001406 11.8% 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 15,000 output tokens:

  • Input Cost: $0.006250 (rounded ~ $0.01)
  • Output Cost: $0.005625 (rounded ~ $0.01)
  • Total Cost: $0.010469
  • Cost per 1K tokens: $0.000091
  • Tokens per dollar: 10,985,075 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 1,000 tokens per second and 80ms time to first token:

  • Processing Time: 1 minute, 58.63 seconds
  • Latency: 80 milliseconds to first token
  • Base Throughput: 1,000 tokens/second
  • Effective Throughput: 971 tokens/second (temperature-adjusted)

Best Use Cases

High-volume clinical record formalization where low cost and high reliability in structured data extraction are required.

Want this applied to YOUR actual stack?

This calculator shows the math for Gemini 3.1 Flash Lite. 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: 15,000
Batch API: Enabled (50% discount)
Cached Tokens: 25%
Rank AI Model & Provider Total Cost vs GPT-5.4 mini vs Gemini 3.1 Flash Lite
🏆 Mistral Small 3
Mistral AI
 $0.003063 Best Value ↓ 90.2% cheaper ↓ 70.7% cheaper
🥈 Devstral Small 2
Mistral AI
 $0.003063 ↓ 90.2% cheaper ↓ 70.7% cheaper
🥉 Nemotron 3 Super
Mistral AI
 $0.008888 (rounded ~ $0.01) ↓ 71.7% cheaper ↓ 15.1% cheaper
#4 Grok Code Fast 1
xAI
 $0.009500 ↓ 69.8% cheaper ↓ 9.3% cheaper
#5 Gemini 3.1 Flash Lite
Google
 $0.010469 ↓ 66.7% cheaper Same price
#6 Devstral 2
Mistral AI
 $0.011125 (rounded ~ $0.01) ↓ 64.6% cheaper ↑ 6.3% more
#7 Gemini 2.5 Flash
Google
 $0.015188 (rounded ~ $0.02) ↓ 51.6% cheaper ↑ 45.1% more
#8 Mistral Large 3
Mistral AI
 $0.015313 (rounded ~ $0.02) ↓ 51.2% cheaper ↑ 46.3% more
#9 Grok 4.3
xAI
 $0.033594 (rounded ~ $0.03) ↑ 7% more ↑ 220.9% more
#10 o4-mini Deep Research
OpenAI
 $0.034375 (rounded ~ $0.03) ↑ 9.5% more ↑ 228.4% more
#11 o4-mini
OpenAI
 $0.037813 (rounded ~ $0.04) ↑ 20.4% more ↑ 261.2% more
#12 Claude Haiku 4.5
Anthropic
 $0.038125 (rounded ~ $0.04) ↑ 21.4% more ↑ 264.2% more
#13 Gemini 3.1 Flash
Google
 $0.041875 (rounded ~ $0.04) ↑ 33.3% more ↑ 300% more
#14 Magistral Medium
Mistral AI
 $0.057500 (rounded ~ $0.06) ↑ 83.1% more ↑ 449.3% more
#15 Grok 4.20 Beta
xAI
 $0.061250 (rounded ~ $0.06) ↑ 95% more ↑ 485.1% more
#16 Gemini 3.5 Flash
Google
 $0.062813 (rounded ~ $0.06) ↑ 100% more ↑ 500% more
#17 GPT-5.3 Codex Spark
OpenAI
 $0.086406 (rounded ~ $0.09) ↑ 175.1% more ↑ 725.4% more
#18 GPT-5.3 Instant
OpenAI
 $0.086406 (rounded ~ $0.09) ↑ 175.1% more ↑ 725.4% more
#19 Claude Sonnet 4.6
Anthropic
 $0.114375 (rounded ~ $0.11) ↑ 264.2% more ↑ 992.5% more
#20 Gemini 2.5 Pro
Google
 $0.123438 (rounded ~ $0.12) ↑ 293% more ↑ 1079.1% more
#21 Gemini 3.1 Pro
Google
 $0.167500 (rounded ~ $0.17) ↑ 433.3% more ↑ 1500% more
#22 Claude Opus 4.7
Anthropic
 $0.190625 ↑ 507% more ↑ 1720.9% more
#23 Claude Opus 4.8
Anthropic
 $0.190625 ↑ 507% more ↑ 1720.9% more
#24 Claude Opus 4.6
Anthropic
 $0.190625 ↑ 507% more ↑ 1720.9% more
#25 GPT-5.4
OpenAI
 $0.209375 ↑ 566.7% more ↑ 1900% more
#26 GPT-5.4 Thinking
OpenAI
 $0.209375 ↑ 566.7% more ↑ 1900% more
#27 GPT-5.5 Instant
OpenAI
 $0.209375 ↑ 566.7% more ↑ 1900% more
#28 o3 Deep Research
OpenAI
 $0.343750 (rounded ~ $0.34) ↑ 994.5% more ↑ 3183.6% more
#29 GPT-5.5
OpenAI
 $0.418750 (rounded ~ $0.42) ↑ 1233.3% more ↑ 3900% more
#30 o3 Pro
OpenAI
 $0.687500 (rounded ~ $0.69) ↑ 2089.1% more ↑ 6467.2% more
#31 GPT-5.2 Pro
OpenAI
 $1.036875 (rounded ~ $1.04) ↑ 3201.5% more ↑ 9804.5% more
#32 GPT-5.2 Pro
OpenAI
 $1.036875 (rounded ~ $1.04) ↑ 3201.5% more ↑ 9804.5% more
🏆

Mistral Small 3
Mistral AI

$0.003063
vs GPT-5.4 mini: ↓ 90.2%
vs Gemini 3.1 Flash Lite: ↓ 70.7%
🥈

Devstral Small 2
Mistral AI

$0.003063
vs GPT-5.4 mini: ↓ 90.2%
vs Gemini 3.1 Flash Lite: ↓ 70.7%
🥉

Nemotron 3 Super
Mistral AI

$0.008888 (rounded ~ $0.01)
vs GPT-5.4 mini: ↓ 71.7%
vs Gemini 3.1 Flash Lite: ↓ 15.1%
#4

Grok Code Fast 1
xAI

$0.009500
vs GPT-5.4 mini: ↓ 69.8%
vs Gemini 3.1 Flash Lite: ↓ 9.3%
#5

Gemini 3.1 Flash Lite
Google

$0.010469
vs GPT-5.4 mini: ↓ 66.7%
vs Gemini 3.1 Flash Lite: Same
#6

Devstral 2
Mistral AI

$0.011125 (rounded ~ $0.01)
vs GPT-5.4 mini: ↓ 64.6%
vs Gemini 3.1 Flash Lite: ↑ 6.3%
#7

Gemini 2.5 Flash
Google

$0.015188 (rounded ~ $0.02)
vs GPT-5.4 mini: ↓ 51.6%
vs Gemini 3.1 Flash Lite: ↑ 45.1%
#8

Mistral Large 3
Mistral AI

$0.015313 (rounded ~ $0.02)
vs GPT-5.4 mini: ↓ 51.2%
vs Gemini 3.1 Flash Lite: ↑ 46.3%
#9

Grok 4.3
xAI

$0.033594 (rounded ~ $0.03)
vs GPT-5.4 mini: ↑ 7%
vs Gemini 3.1 Flash Lite: ↑ 220.9%
#10

o4-mini Deep Research
OpenAI

$0.034375 (rounded ~ $0.03)
vs GPT-5.4 mini: ↑ 9.5%
vs Gemini 3.1 Flash Lite: ↑ 228.4%
#11

o4-mini
OpenAI

$0.037813 (rounded ~ $0.04)
vs GPT-5.4 mini: ↑ 20.4%
vs Gemini 3.1 Flash Lite: ↑ 261.2%
#12

Claude Haiku 4.5
Anthropic

$0.038125 (rounded ~ $0.04)
vs GPT-5.4 mini: ↑ 21.4%
vs Gemini 3.1 Flash Lite: ↑ 264.2%
#13

Gemini 3.1 Flash
Google

$0.041875 (rounded ~ $0.04)
vs GPT-5.4 mini: ↑ 33.3%
vs Gemini 3.1 Flash Lite: ↑ 300%
#14

Magistral Medium
Mistral AI

$0.057500 (rounded ~ $0.06)
vs GPT-5.4 mini: ↑ 83.1%
vs Gemini 3.1 Flash Lite: ↑ 449.3%
#15

Grok 4.20 Beta
xAI

$0.061250 (rounded ~ $0.06)
vs GPT-5.4 mini: ↑ 95%
vs Gemini 3.1 Flash Lite: ↑ 485.1%
#16

Gemini 3.5 Flash
Google

$0.062813 (rounded ~ $0.06)
vs GPT-5.4 mini: ↑ 100%
vs Gemini 3.1 Flash Lite: ↑ 500%
#17

GPT-5.3 Codex Spark
OpenAI

$0.086406 (rounded ~ $0.09)
vs GPT-5.4 mini: ↑ 175.1%
vs Gemini 3.1 Flash Lite: ↑ 725.4%
#18

GPT-5.3 Instant
OpenAI

$0.086406 (rounded ~ $0.09)
vs GPT-5.4 mini: ↑ 175.1%
vs Gemini 3.1 Flash Lite: ↑ 725.4%
#19

Claude Sonnet 4.6
Anthropic

$0.114375 (rounded ~ $0.11)
vs GPT-5.4 mini: ↑ 264.2%
vs Gemini 3.1 Flash Lite: ↑ 992.5%
#20

Gemini 2.5 Pro
Google

$0.123438 (rounded ~ $0.12)
vs GPT-5.4 mini: ↑ 293%
vs Gemini 3.1 Flash Lite: ↑ 1079.1%
#21

Gemini 3.1 Pro
Google

$0.167500 (rounded ~ $0.17)
vs GPT-5.4 mini: ↑ 433.3%
vs Gemini 3.1 Flash Lite: ↑ 1500%
#22

Claude Opus 4.7
Anthropic

$0.190625
vs GPT-5.4 mini: ↑ 507%
vs Gemini 3.1 Flash Lite: ↑ 1720.9%
#23

Claude Opus 4.8
Anthropic

$0.190625
vs GPT-5.4 mini: ↑ 507%
vs Gemini 3.1 Flash Lite: ↑ 1720.9%
#24

Claude Opus 4.6
Anthropic

$0.190625
vs GPT-5.4 mini: ↑ 507%
vs Gemini 3.1 Flash Lite: ↑ 1720.9%
#25

GPT-5.4
OpenAI

$0.209375
vs GPT-5.4 mini: ↑ 566.7%
vs Gemini 3.1 Flash Lite: ↑ 1900%
#26

GPT-5.4 Thinking
OpenAI

$0.209375
vs GPT-5.4 mini: ↑ 566.7%
vs Gemini 3.1 Flash Lite: ↑ 1900%
#27

GPT-5.5 Instant
OpenAI

$0.209375
vs GPT-5.4 mini: ↑ 566.7%
vs Gemini 3.1 Flash Lite: ↑ 1900%
#28

o3 Deep Research
OpenAI

$0.343750 (rounded ~ $0.34)
vs GPT-5.4 mini: ↑ 994.5%
vs Gemini 3.1 Flash Lite: ↑ 3183.6%
#29

GPT-5.5
OpenAI

$0.418750 (rounded ~ $0.42)
vs GPT-5.4 mini: ↑ 1233.3%
vs Gemini 3.1 Flash Lite: ↑ 3900%
#30

o3 Pro
OpenAI

$0.687500 (rounded ~ $0.69)
vs GPT-5.4 mini: ↑ 2089.1%
vs Gemini 3.1 Flash Lite: ↑ 6467.2%
#31

GPT-5.2 Pro
OpenAI

$1.036875 (rounded ~ $1.04)
vs GPT-5.4 mini: ↑ 3201.5%
vs Gemini 3.1 Flash Lite: ↑ 9804.5%
#32

GPT-5.2 Pro
OpenAI

$1.036875 (rounded ~ $1.04)
vs GPT-5.4 mini: ↑ 3201.5%
vs Gemini 3.1 Flash Lite: ↑ 9804.5%
✨ 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.

Evaluating Efficiency in Medical Document Structuring

In the realm of clinical note generation, the move from unstructured doctor’s notes to formalized medical records requires high precision in information extraction. When comparing GPT-5.4 mini and Gemini 3.1 Flash Lite for a 100K-token workload, researchers must weigh the trade-offs between logic density and multimodal flexibility. For an indie developer or a PhD student building a clinical MVP, these ‘mini’ tier models offer a sophisticated balance of performance and resource management, especially when processing high volumes of patient encounters daily.

  • GPT-5.4 mini: This model is particularly strong at following rigid formatting instructions, such as adhering to specific ICD-11 coding standards or strict SOAP note structures. Its reasoning capabilities are finely tuned for identifying contradictions within a single document, making it a reliable choice for quality assurance in clinical records.
  • Gemini 3.1 Flash Lite: Google’s offering shines in its handling of long-context nuances and its ability to integrate with broader ecosystem tools. If the clinical note generation involves referencing previous patient history or dense lab results across a larger context, this model’s architectural efficiency provides a smoother experience for the end-user.

The decision between these two often comes down to the specific ‘flavor’ of the clinical data. If the primary task is logical deduction and entity extraction from short, dense dictations, the OpenAI model’s instruction-following is top-tier. Conversely, if the researcher plans to expand the tool to include visual analysis of charts or scans alongside the text, Gemini’s native multimodal roots offer a more scalable path forward for a growing medical informatics project.

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.