Gemini 3.1 Pro vs GPT-5.4 Pro: Per-20K Token Educational Analysis

Gemini 3.1 Pro vs GPT-5.4 Pro
Complete Comparison: 20,000 input tokens × 2,000 output tokens
Comparison Mode
⚡ 70% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 70% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria Gemini 3.1 Pro
Google
GPT-5.4 Pro
OpenAI
Calculation Results (Current Inputs) (70% cached)
Input Tokens 20,000 20,000
Output Tokens 2,000 2,000
Cost Breakdown
Input Cost $0.020000Best $0.300000Worst
Output Cost $0.012000 (rounded ~ $0.01)Best $0.180000Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.019400 Best Value $0.291000 (rounded ~ $0.29) Most Expensive
Processing Time 57.93 seconds Fastest 1 minute, 6.18 seconds Slowest
Tokens per Second 400Fastest 350Slowest
Time to First Token 220ms Best 250ms Worst
Cost per 1K tokens $0.000882Best $0.013227 (rounded ~ $0.01)Worst
Tokens per Dollar 1,134,021Best Value 75,601Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $1.000000Best $15.000000Worst
Output Cost / 1M (Base) $6.000000Best $90.000000Worst
Input Cost / 1M (Optimized) $0.500000Best
Optimizations: 50.0% batch
$7.500000Worst
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $3.000000Best
Optimizations: 50.0% batch
$45.000000Worst
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Video Support ✓ Supported ✗ Not Supported
Audio Support ✓ Supported ✗ Not Supported
Caching Support
70
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
Scroll horizontally to see all data

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Select AI Model

Gemini 3.1 Pro
GoogleMax Context: 2,000,000 tokens
$2 / $12 per 1M tokens (Tier 1)
State-dependent pricing active. Current tier: Standard
Use Batch API (50% discount)
70%
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

$0.006000 Input Cost
$0.012000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
22,000Total Tokens
$0.000882Cost per 1K
1,134,021Tokens per $
🔄 Dynamic Tier Pricing Active: Using Standard pricing (tier1) based on token volume.
📊 Advanced Cost Breakdown

Processing Speed

57.93s Processing Time
400 Tokens/Second
220ms Time to First Token
381 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 3.1 Pro Google 2000000

$0.019400
Total Cost
⚡ 70% 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) $0.032000 (rounded ~ $0.03) Input: $0.020000
Output: $0.012000 (rounded ~ $0.01)
Optimized Cost $0.019400 Input: $0.020000
Output: $0.012000 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.012600 (rounded ~ $0.01) 39.4% 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 20,000 input tokens and 2,000 output tokens:

  • Input Cost: $0.020000
  • Output Cost: $0.012000 (rounded ~ $0.01)
  • Total Cost: $0.019400
  • Cost per 1K tokens: $0.000882
  • Tokens per dollar: 1,134,021 tokens
  • Context Window: 2000000 tokens

Speed & Performance Analysis

With a processing speed of 400 tokens per second and 220ms time to first token:

  • Processing Time: 57.93 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 381 tokens/second (temperature-adjusted)

Best Use Cases

Suitable for analyzing educational contentstudent interactionsor legal case studies where advanced reasoning and broad context understanding are requiredwith a focus on per-session or per-document analysis.

Want this applied to YOUR actual stack?

This calculator shows the math for Gemini 3.1 Pro. 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 Pro OpenAI 1024000

$0.291000 (rounded ~ $0.29)
Total Cost
⚡ 70% 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) $0.480000 Input: $0.300000
Output: $0.180000
Optimized Cost $0.291000 (rounded ~ $0.29) Input: $0.300000
Output: $0.180000
Unit: $0.000000
Fees: $0.000000
Total Savings $0.189000 (rounded ~ $0.19) 39.4% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount
📊 Cliff Pricing
Standard
standard pricing (threshold: 272,000)

Detailed Cost Analysis (from Plugin)

For 20,000 input tokens and 2,000 output tokens:

  • Input Cost: $0.300000
  • Output Cost: $0.180000
  • Total Cost: $0.291000 (rounded ~ $0.29)
  • Cost per 1K tokens: $0.013227 (rounded ~ $0.01)
  • Tokens per dollar: 75,601 tokens
  • Context Window: 1024000 tokens

Speed & Performance Analysis

With a processing speed of 350 tokens per second and 250ms time to first token:

  • Processing Time: 1 minute, 6.18 seconds
  • Latency: 250 milliseconds to first token
  • Base Throughput: 350 tokens/second
  • Effective Throughput: 333 tokens/second (temperature-adjusted)

Best Use Cases

Suitable for analyzing educational contentstudent interactionsor legal case studies where advanced reasoning and broad context understanding are requiredwith a focus on per-session or per-document analysis.

Want this applied to YOUR actual stack?

This calculator shows the math for GPT-5.4 Pro. 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 3.1 Pro
📋 Active Input Parameters
Input Tokens: 20,000
Output Tokens: 2,000
Batch API: Enabled (50% discount)
Cached Tokens: 70%
Rank AI Model & Provider Total Cost vs Gemini 3.1 Pro vs GPT-5.4 Pro
🏆 Mistral Small 3
Mistral AI
$0.000335 Best Value ↓ 98.3% cheaper ↓ 99.9% cheaper
🥈 Voxtral Small 24B
Mistral AI
$0.000335 ↓ 98.3% cheaper ↓ 99.9% cheaper
🥉 Devstral Small 2
Mistral AI
$0.000335 ↓ 98.3% cheaper ↓ 99.9% cheaper
#4 Ministral 3 (14B)
Mistral AI
$0.000470 ↓ 97.6% cheaper ↓ 99.8% cheaper
#5 Nemotron 3 Super
Mistral AI
$0.000965 ↓ 95% cheaper ↓ 99.7% cheaper
#6 Grok Code Fast 1
xAI
$0.001120 ↓ 94.2% cheaper ↓ 99.6% cheaper
#7 Devstral 2
Mistral AI
$0.001190 ↓ 93.9% cheaper ↓ 99.6% cheaper
#8 Gemini 3.1 Flash Lite
Google
$0.001213 ↓ 93.8% cheaper ↓ 99.6% cheaper
#9 Mistral Large 3
Mistral AI
$0.001675 ↓ 91.4% cheaper ↓ 99.4% cheaper
#10 Gemini 2.5 Flash
Google
$0.001805 ↓ 90.7% cheaper ↓ 99.4% cheaper
#11 Grok 4.3
xAI
$0.003563 ↓ 81.6% cheaper ↓ 98.8% cheaper
#12 GPT-5.4 mini
OpenAI
$0.003638 ↓ 81.3% cheaper ↓ 98.8% cheaper
#13 o4-mini Deep Research
OpenAI
$0.003850 ↓ 80.2% cheaper ↓ 98.7% cheaper
#14 o4-mini
OpenAI
$0.004235 ↓ 78.2% cheaper ↓ 98.5% cheaper
#15 Claude Haiku 4.5
Anthropic
$0.004350 ↓ 77.6% cheaper ↓ 98.5% cheaper
#16 Gemini 3.1 Flash
Google
$0.004850 ↓ 75% cheaper ↓ 98.3% cheaper
#17 Magistral Medium
Mistral AI
$0.006200 (rounded ~ $0.01) ↓ 68% cheaper ↓ 97.9% cheaper
#18 Grok 4.20 Beta
xAI
$0.006700 (rounded ~ $0.01) ↓ 65.5% cheaper ↓ 97.7% cheaper
#19 Gemini 3.5 Flash
Google
$0.007275 (rounded ~ $0.01) ↓ 62.5% cheaper ↓ 97.5% cheaper
#20 GPT-5.3 Codex Spark
OpenAI
$0.010238 ↓ 47.2% cheaper ↓ 96.5% cheaper
#21 GPT-5.3 Instant
OpenAI
$0.010238 ↓ 47.2% cheaper ↓ 96.5% cheaper
#22 Claude Sonnet 4.6
Anthropic
$0.013050 (rounded ~ $0.01) ↓ 32.7% cheaper ↓ 95.5% cheaper
#23 Gemini 2.5 Pro
Google
$0.014625 (rounded ~ $0.01) ↓ 24.6% cheaper ↓ 95% cheaper
#24 Claude Opus 4.7
Anthropic
$0.021750 (rounded ~ $0.02) ↑ 12.1% more ↓ 92.5% cheaper
#25 Claude Opus 4.8
Anthropic
$0.021750 (rounded ~ $0.02) ↑ 12.1% more ↓ 92.5% cheaper
#26 Claude Opus 4.6
Anthropic
$0.021750 (rounded ~ $0.02) ↑ 12.1% more ↓ 92.5% cheaper
#27 GPT-5.4
OpenAI
$0.024250 (rounded ~ $0.02) ↑ 25% more ↓ 91.7% cheaper
#28 GPT-5.4 Thinking
OpenAI
$0.024250 (rounded ~ $0.02) ↑ 25% more ↓ 91.7% cheaper
#29 GPT-5.5 Instant
OpenAI
$0.024250 (rounded ~ $0.02) ↑ 25% more ↓ 91.7% cheaper
#30 o3 Deep Research
OpenAI
$0.038500 (rounded ~ $0.04) ↑ 98.5% more ↓ 86.8% cheaper
#31 GPT-5.5
OpenAI
$0.048500 (rounded ~ $0.05) ↑ 150% more ↓ 83.3% cheaper
#32 o3 Pro
OpenAI
$0.077000 (rounded ~ $0.08) ↑ 296.9% more ↓ 73.5% cheaper
#33 GPT-5.2 Pro
OpenAI
$0.122850 (rounded ~ $0.12) ↑ 533.2% more ↓ 57.8% cheaper
#34 GPT-5.2 Pro
OpenAI
$0.122850 (rounded ~ $0.12) ↑ 533.2% more ↓ 57.8% cheaper
🏆

Mistral Small 3
Mistral AI

$0.000335
vs Gemini 3.1 Pro: ↓ 98.3%
vs GPT-5.4 Pro: ↓ 99.9%
🥈

Voxtral Small 24B
Mistral AI

$0.000335
vs Gemini 3.1 Pro: ↓ 98.3%
vs GPT-5.4 Pro: ↓ 99.9%
🥉

Devstral Small 2
Mistral AI

$0.000335
vs Gemini 3.1 Pro: ↓ 98.3%
vs GPT-5.4 Pro: ↓ 99.9%
#4

Ministral 3 (14B)
Mistral AI

$0.000470
vs Gemini 3.1 Pro: ↓ 97.6%
vs GPT-5.4 Pro: ↓ 99.8%
#5

Nemotron 3 Super
Mistral AI

$0.000965
vs Gemini 3.1 Pro: ↓ 95%
vs GPT-5.4 Pro: ↓ 99.7%
#6

Grok Code Fast 1
xAI

$0.001120
vs Gemini 3.1 Pro: ↓ 94.2%
vs GPT-5.4 Pro: ↓ 99.6%
#7

Devstral 2
Mistral AI

$0.001190
vs Gemini 3.1 Pro: ↓ 93.9%
vs GPT-5.4 Pro: ↓ 99.6%
#8

Gemini 3.1 Flash Lite
Google

$0.001213
vs Gemini 3.1 Pro: ↓ 93.8%
vs GPT-5.4 Pro: ↓ 99.6%
#9

Mistral Large 3
Mistral AI

$0.001675
vs Gemini 3.1 Pro: ↓ 91.4%
vs GPT-5.4 Pro: ↓ 99.4%
#10

Gemini 2.5 Flash
Google

$0.001805
vs Gemini 3.1 Pro: ↓ 90.7%
vs GPT-5.4 Pro: ↓ 99.4%
#11

Grok 4.3
xAI

$0.003563
vs Gemini 3.1 Pro: ↓ 81.6%
vs GPT-5.4 Pro: ↓ 98.8%
#12

GPT-5.4 mini
OpenAI

$0.003638
vs Gemini 3.1 Pro: ↓ 81.3%
vs GPT-5.4 Pro: ↓ 98.8%
#13

o4-mini Deep Research
OpenAI

$0.003850
vs Gemini 3.1 Pro: ↓ 80.2%
vs GPT-5.4 Pro: ↓ 98.7%
#14

o4-mini
OpenAI

$0.004235
vs Gemini 3.1 Pro: ↓ 78.2%
vs GPT-5.4 Pro: ↓ 98.5%
#15

Claude Haiku 4.5
Anthropic

$0.004350
vs Gemini 3.1 Pro: ↓ 77.6%
vs GPT-5.4 Pro: ↓ 98.5%
#16

Gemini 3.1 Flash
Google

$0.004850
vs Gemini 3.1 Pro: ↓ 75%
vs GPT-5.4 Pro: ↓ 98.3%
#17

Magistral Medium
Mistral AI

$0.006200 (rounded ~ $0.01)
vs Gemini 3.1 Pro: ↓ 68%
vs GPT-5.4 Pro: ↓ 97.9%
#18

Grok 4.20 Beta
xAI

$0.006700 (rounded ~ $0.01)
vs Gemini 3.1 Pro: ↓ 65.5%
vs GPT-5.4 Pro: ↓ 97.7%
#19

Gemini 3.5 Flash
Google

$0.007275 (rounded ~ $0.01)
vs Gemini 3.1 Pro: ↓ 62.5%
vs GPT-5.4 Pro: ↓ 97.5%
#20

GPT-5.3 Codex Spark
OpenAI

$0.010238
vs Gemini 3.1 Pro: ↓ 47.2%
vs GPT-5.4 Pro: ↓ 96.5%
#21

GPT-5.3 Instant
OpenAI

$0.010238
vs Gemini 3.1 Pro: ↓ 47.2%
vs GPT-5.4 Pro: ↓ 96.5%
#22

Claude Sonnet 4.6
Anthropic

$0.013050 (rounded ~ $0.01)
vs Gemini 3.1 Pro: ↓ 32.7%
vs GPT-5.4 Pro: ↓ 95.5%
#23

Gemini 2.5 Pro
Google

$0.014625 (rounded ~ $0.01)
vs Gemini 3.1 Pro: ↓ 24.6%
vs GPT-5.4 Pro: ↓ 95%
#24

Claude Opus 4.7
Anthropic

$0.021750 (rounded ~ $0.02)
vs Gemini 3.1 Pro: ↑ 12.1%
vs GPT-5.4 Pro: ↓ 92.5%
#25

Claude Opus 4.8
Anthropic

$0.021750 (rounded ~ $0.02)
vs Gemini 3.1 Pro: ↑ 12.1%
vs GPT-5.4 Pro: ↓ 92.5%
#26

Claude Opus 4.6
Anthropic

$0.021750 (rounded ~ $0.02)
vs Gemini 3.1 Pro: ↑ 12.1%
vs GPT-5.4 Pro: ↓ 92.5%
#27

GPT-5.4
OpenAI

$0.024250 (rounded ~ $0.02)
vs Gemini 3.1 Pro: ↑ 25%
vs GPT-5.4 Pro: ↓ 91.7%
#28

GPT-5.4 Thinking
OpenAI

$0.024250 (rounded ~ $0.02)
vs Gemini 3.1 Pro: ↑ 25%
vs GPT-5.4 Pro: ↓ 91.7%
#29

GPT-5.5 Instant
OpenAI

$0.024250 (rounded ~ $0.02)
vs Gemini 3.1 Pro: ↑ 25%
vs GPT-5.4 Pro: ↓ 91.7%
#30

o3 Deep Research
OpenAI

$0.038500 (rounded ~ $0.04)
vs Gemini 3.1 Pro: ↑ 98.5%
vs GPT-5.4 Pro: ↓ 86.8%
#31

GPT-5.5
OpenAI

$0.048500 (rounded ~ $0.05)
vs Gemini 3.1 Pro: ↑ 150%
vs GPT-5.4 Pro: ↓ 83.3%
#32

o3 Pro
OpenAI

$0.077000 (rounded ~ $0.08)
vs Gemini 3.1 Pro: ↑ 296.9%
vs GPT-5.4 Pro: ↓ 73.5%
#33

GPT-5.2 Pro
OpenAI

$0.122850 (rounded ~ $0.12)
vs Gemini 3.1 Pro: ↑ 533.2%
vs GPT-5.4 Pro: ↓ 57.8%
#34

GPT-5.2 Pro
OpenAI

$0.122850 (rounded ~ $0.12)
vs Gemini 3.1 Pro: ↑ 533.2%
vs GPT-5.4 Pro: ↓ 57.8%
✨ 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.

Advanced Analysis for Legal Education

This comparison pits two powerful enterprise-grade models for detailed analysis within the legal tech domain, particularly for educational use cases. Gemini 3.1 Pro offers extensive multimodal capabilities, including vision and audio, alongside a substantial 2 million token context window, ideal for processing varied educational materials.

GPT-5.4 Pro counters with its sophisticated reasoning engine and 1 million token context, excelling at complex instruction following and nuanced textual understanding critical for legal document analysis. When selecting between them for educational tutoring analysis, consider if multimodal input is essential and weigh Gemini’s broader context against GPT-5.4 Pro’s perceived depth in reasoning for complex legal jargon. Latency and specific fine-tuning needs might also influence the decision.

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.