Gemini 3.8 Flash vs GPT-5.6 Luna for Customer Support (8K Inputs)

Gemini 3.8 Flash vs GPT-5.6 Luna
Complete Comparison: 8,000 input tokens × 2,000 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)
Comparison Criteria Gemini 3.8 Flash
Google
GPT-5.6 Luna
OpenAI
Calculation Results (Current Inputs) (25% cached)
Input Tokens 8,000 8,000
Output Tokens 2,000 2,000
Cost Breakdown
Input Cost $0.006000 (rounded ~ $0.01)Worst $0.001600Best
Output Cost $0.007500 (rounded ~ $0.01)Worst $0.002400Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.012150 (rounded ~ $0.01) Most Expensive $0.003640 Best Value
Processing Time 31.65 seconds Slowest 8.41 seconds Fastest
Tokens per Second 340Slowest 1,300Fastest
Time to First Token 105ms Worst 70ms Best
Cost per 1K tokens $0.001215Worst $0.000364Best
Tokens per Dollar 823,045Worst Value 2,747,253Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.750000Worst $0.200000Best
Output Cost / 1M (Base) $3.750000Worst $1.200000Best
Input Cost / 1M (Optimized) $0.750000Worst
Optimizations: No optimizations applied
$0.200000Best
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $3.750000Worst
Optimizations: No optimizations applied
$1.200000Best
Optimizations: No optimizations applied
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Video Support ✓ Supported ✗ Not Supported
Audio Support ✓ Supported ✗ Not Supported
Caching Support
25
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
Scroll horizontally to see all data

🔄 Compare Different AI Models

1

First Model

2

Second Model

Select providers and models above, then click "Compare Models" to update the comparison.
All other parameters will be preserved from the current comparison.

Click Recalculate to update after making changes

Select AI Model

Gemini 3.8 Flash

GoogleMax Context: 1,048,576 tokens
$0.75 / $3.75 per 1M tokens
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

$0.012150 Total Cost
$0.004500 Input Cost
$0.007500 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
10,000Total Tokens
$0.001215Cost per 1K
823,045Tokens per $

📊 Advanced Cost Breakdown

Processing Speed

31.65s Processing Time
340 Tokens/Second
105ms Time to First Token
318 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

📚 Research & Citations

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 3.8 Flash Google 1048576

$0.012150 (rounded ~ $0.01)
Total Cost
⚡ 25% Cached 🔧 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) $0.013500 (rounded ~ $0.01) Input: $0.006000 (rounded ~ $0.01)
Output: $0.007500 (rounded ~ $0.01)
Optimized Cost $0.012150 (rounded ~ $0.01) Input: $0.006000 (rounded ~ $0.01)
Output: $0.007500 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.001350 10.0% discount

Detailed Cost Analysis (from Plugin)

For 8,000 input tokens and 2,000 output tokens:

  • Input Cost: $0.006000 (rounded ~ $0.01)
  • Output Cost: $0.007500 (rounded ~ $0.01)
  • Total Cost: $0.012150 (rounded ~ $0.01)
  • Cost per 1K tokens: $0.001215
  • Tokens per dollar: 823,045 tokens
  • Context Window: 1048576 tokens

Speed & Performance Analysis

With a processing speed of 340 tokens per second and 105ms time to first token:

  • Processing Time: 31.65 seconds
  • Latency: 105 milliseconds to first token
  • Base Throughput: 340 tokens/second
  • Effective Throughput: 318 tokens/second (temperature-adjusted)

Best Use Cases

Best for balancing speed and costwith Gemini Flash providing excellent multimodal support triage and Luna providing reliable text-only processing.

Want this applied to YOUR actual stack?

This calculator shows the math for Gemini 3.8 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-5.6 Luna OpenAI 1000000

$0.003640
Total Cost
⚡ 25% Cached 🔧 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) $0.004000 Input: $0.001600
Output: $0.002400
Optimized Cost $0.003640 Input: $0.001600
Output: $0.002400
Unit: $0.000000
Fees: $0.000000
Total Savings $0.000360 9.0% discount

Detailed Cost Analysis (from Plugin)

For 8,000 input tokens and 2,000 output tokens:

  • Input Cost: $0.001600
  • Output Cost: $0.002400
  • Total Cost: $0.003640
  • Cost per 1K tokens: $0.000364
  • Tokens per dollar: 2,747,253 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 1,300 tokens per second and 70ms time to first token:

  • Processing Time: 8.41 seconds
  • Latency: 70 milliseconds to first token
  • Base Throughput: 1,300 tokens/second
  • Effective Throughput: 1,215 tokens/second (temperature-adjusted)

Best Use Cases

Best for balancing speed and costwith Gemini Flash providing excellent multimodal support triage and Luna providing reliable text-only processing.

Want this applied to YOUR actual stack?

This calculator shows the math for GPT-5.6 Luna. 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 3.8 Flash
📋 Active Input Parameters
Input Tokens: 8,000
Output Tokens: 2,000
Cached Tokens: 25%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Gemini 3.8 Flash vs GPT-5.6 Luna
🏆 GPT-6 Luna
OpenAI
 $0.001620 Best Value ↓ 86.7% cheaper ↓ 55.5% cheaper
🥈 Claude Haiku 5.5
Anthropic
 $0.001620 ↓ 86.7% cheaper ↓ 55.5% cheaper
🥉 GPT-5.6 Luna
OpenAI
 $0.003640 ↓ 70% cheaper Same price
#4 Grok Code Fast 1
xAI
 $0.004240 ↓ 65.1% cheaper ↑ 16.5% more
#5 Gemini 3.1 Flash Lite
Google
 $0.004550 ↓ 62.6% cheaper ↑ 25% more
#6 Mistral Large 3
Mistral AI
 $0.006100 (rounded ~ $0.01) ↓ 49.8% cheaper ↑ 67.6% more
#7 Gemini 3.5 Flash-Lite
Google
 $0.006860 (rounded ~ $0.01) ↓ 43.5% cheaper ↑ 88.5% more
#8 Gemini 2.5 Flash
Google
 $0.006860 (rounded ~ $0.01) ↓ 43.5% cheaper ↑ 88.5% more
#9 Gemini 3.1 Flash
Google
 $0.009100 ↓ 25.1% cheaper ↑ 150% more
#10 Grok Build 0.1
xAI
 $0.010200 ↓ 16% cheaper ↑ 180.2% more
#11 Gemini 3.6 Flash
Google
 $0.012150 (rounded ~ $0.01) Same price ↑ 233.8% more
#12 Grok 4.3
xAI
 $0.012750 (rounded ~ $0.01) ↑ 4.9% more ↑ 250.3% more
#13 Grok 4.20 Beta
xAI
 $0.012750 (rounded ~ $0.01) ↑ 4.9% more ↑ 250.3% more
#14 GPT-5.4 mini
OpenAI
 $0.013650 (rounded ~ $0.01) ↑ 12.3% more ↑ 275% more
#15 Claude Haiku 4.5
Anthropic
 $0.016200 (rounded ~ $0.02) ↑ 33.3% more ↑ 345.1% more
#16 Mistral Large 4
Mistral AI
 $0.016792 (rounded ~ $0.02) ↑ 38.2% more ↑ 361.3% more
#17 Grok 4.7
xAI
 $0.024400 (rounded ~ $0.02) ↑ 100.8% more ↑ 570.3% more
#18 Grok 4.6
xAI
 $0.024400 (rounded ~ $0.02) ↑ 100.8% more ↑ 570.3% more
#19 Grok 4.5
xAI
 $0.024400 (rounded ~ $0.02) ↑ 100.8% more ↑ 570.3% more
#20 Gemini 2.5 Pro
Google
 $0.027750 (rounded ~ $0.03) ↑ 128.4% more ↑ 662.4% more
#21 Claude Sonnet 5.5
Anthropic
 $0.032200 (rounded ~ $0.03) ↑ 165% more ↑ 784.6% more
#22 Claude Sonnet 5
Anthropic
 $0.032400 (rounded ~ $0.03) ↑ 166.7% more ↑ 790.1% more
#23 Gemini 4 Argon
Google
 $0.032400 (rounded ~ $0.03) ↑ 166.7% more ↑ 790.1% more
#24 GPT-6.1 Sol
OpenAI
 $0.032400 (rounded ~ $0.03) ↑ 166.7% more ↑ 790.1% more
#25 GPT-6 Sol
OpenAI
 $0.032400 (rounded ~ $0.03) ↑ 166.7% more ↑ 790.1% more
#26 Kimi K3.1 Pro
Moonshot AI
 $0.032680 (rounded ~ $0.03) ↑ 169% more ↑ 797.8% more
#27 Gemini 3.1 Pro
Google
 $0.036400 (rounded ~ $0.04) ↑ 199.6% more ↑ 900% more
#28 GPT-5.6 Terra
OpenAI
 $0.036400 (rounded ~ $0.04) ↑ 199.6% more ↑ 900% more
#29 GPT-5.3 Codex Spark
OpenAI
 $0.038850 (rounded ~ $0.04) ↑ 219.8% more ↑ 967.3% more
#30 GPT-5.3 Instant
OpenAI
 $0.038850 (rounded ~ $0.04) ↑ 219.8% more ↑ 967.3% more
#31 GPT-5.4
OpenAI
 $0.045500 (rounded ~ $0.05) ↑ 274.5% more ↑ 1150% more
#32 GPT-5.4 Thinking
OpenAI
 $0.045500 (rounded ~ $0.05) ↑ 274.5% more ↑ 1150% more
#33 Claude Sonnet 4.6
Anthropic
 $0.048600 (rounded ~ $0.05) ↑ 300% more ↑ 1235.2% more
#34 Kimi K3
Moonshot AI
 $0.049020 ↑ 303.5% more ↑ 1246.7% more
#35 Claude Opus 5.5
Anthropic
 $0.064400 (rounded ~ $0.06) ↑ 430% more ↑ 1669.2% more
#36 GPT-5.6 Sol
OpenAI
 $0.064800 (rounded ~ $0.06) ↑ 433.3% more ↑ 1680.2% more
#37 Muse Wonder 1.0
Meta AI
 $0.072000 (rounded ~ $0.07) ↑ 492.6% more ↑ 1878% more
#38 Claude Opus 4.7
Anthropic
 $0.081000 (rounded ~ $0.08) ↑ 566.7% more ↑ 2125.3% more
#39 Claude Opus 5
Anthropic
 $0.081000 (rounded ~ $0.08) ↑ 566.7% more ↑ 2125.3% more
#40 Claude Opus 4.8
Anthropic
 $0.081000 (rounded ~ $0.08) ↑ 566.7% more ↑ 2125.3% more
#41 Claude Opus 4.6
Anthropic
 $0.081000 (rounded ~ $0.08) ↑ 566.7% more ↑ 2125.3% more
#42 GPT-5.5
OpenAI
 $0.091000 (rounded ~ $0.09) ↑ 649% more ↑ 2400% more
#43 GPT-5.5 Instant
OpenAI
 $0.091000 (rounded ~ $0.09) ↑ 649% more ↑ 2400% more
#44 Claude Fable 5.1
Anthropic
 $0.160500 ↑ 1221% more ↑ 4309.3% more
#45 Claude Mythos 5.1
Anthropic
 $0.160500 ↑ 1221% more ↑ 4309.3% more
#46 Claude Fable 5
Anthropic
 $0.162000 (rounded ~ $0.16) ↑ 1233.3% more ↑ 4350.5% more
#47 Claude Mythos 5
Anthropic
 $0.162000 (rounded ~ $0.16) ↑ 1233.3% more ↑ 4350.5% more
#48 GPT-6 Astra
OpenAI
 $0.162000 (rounded ~ $0.16) ↑ 1233.3% more ↑ 4350.5% more
#49 GPT-5.2 Pro
OpenAI
 $0.466200 (rounded ~ $0.47) ↑ 3737% more ↑ 12707.7% more
#50 GPT-5.2 Pro
OpenAI
 $0.466200 (rounded ~ $0.47) ↑ 3737% more ↑ 12707.7% more
🏆

GPT-6 Luna
OpenAI

$0.001620
vs Gemini 3.8 Flash: ↓ 86.7%
vs GPT-5.6 Luna: ↓ 55.5%
🥈

Claude Haiku 5.5
Anthropic

$0.001620
vs Gemini 3.8 Flash: ↓ 86.7%
vs GPT-5.6 Luna: ↓ 55.5%
🥉

GPT-5.6 Luna
OpenAI

$0.003640
vs Gemini 3.8 Flash: ↓ 70%
vs GPT-5.6 Luna: Same
#4

Grok Code Fast 1
xAI

$0.004240
vs Gemini 3.8 Flash: ↓ 65.1%
vs GPT-5.6 Luna: ↑ 16.5%
#5

Gemini 3.1 Flash Lite
Google

$0.004550
vs Gemini 3.8 Flash: ↓ 62.6%
vs GPT-5.6 Luna: ↑ 25%
#6

Mistral Large 3
Mistral AI

$0.006100 (rounded ~ $0.01)
vs Gemini 3.8 Flash: ↓ 49.8%
vs GPT-5.6 Luna: ↑ 67.6%
#7

Gemini 3.5 Flash-Lite
Google

$0.006860 (rounded ~ $0.01)
vs Gemini 3.8 Flash: ↓ 43.5%
vs GPT-5.6 Luna: ↑ 88.5%
#8

Gemini 2.5 Flash
Google

$0.006860 (rounded ~ $0.01)
vs Gemini 3.8 Flash: ↓ 43.5%
vs GPT-5.6 Luna: ↑ 88.5%
#9

Gemini 3.1 Flash
Google

$0.009100
vs Gemini 3.8 Flash: ↓ 25.1%
vs GPT-5.6 Luna: ↑ 150%
#10

Grok Build 0.1
xAI

$0.010200
vs Gemini 3.8 Flash: ↓ 16%
vs GPT-5.6 Luna: ↑ 180.2%
#11

Gemini 3.6 Flash
Google

$0.012150 (rounded ~ $0.01)
vs Gemini 3.8 Flash: Same
vs GPT-5.6 Luna: ↑ 233.8%
#12

Grok 4.3
xAI

$0.012750 (rounded ~ $0.01)
vs Gemini 3.8 Flash: ↑ 4.9%
vs GPT-5.6 Luna: ↑ 250.3%
#13

Grok 4.20 Beta
xAI

$0.012750 (rounded ~ $0.01)
vs Gemini 3.8 Flash: ↑ 4.9%
vs GPT-5.6 Luna: ↑ 250.3%
#14

GPT-5.4 mini
OpenAI

$0.013650 (rounded ~ $0.01)
vs Gemini 3.8 Flash: ↑ 12.3%
vs GPT-5.6 Luna: ↑ 275%
#15

Claude Haiku 4.5
Anthropic

$0.016200 (rounded ~ $0.02)
vs Gemini 3.8 Flash: ↑ 33.3%
vs GPT-5.6 Luna: ↑ 345.1%
#16

Mistral Large 4
Mistral AI

$0.016792 (rounded ~ $0.02)
vs Gemini 3.8 Flash: ↑ 38.2%
vs GPT-5.6 Luna: ↑ 361.3%
#17

Grok 4.7
xAI

$0.024400 (rounded ~ $0.02)
vs Gemini 3.8 Flash: ↑ 100.8%
vs GPT-5.6 Luna: ↑ 570.3%
#18

Grok 4.6
xAI

$0.024400 (rounded ~ $0.02)
vs Gemini 3.8 Flash: ↑ 100.8%
vs GPT-5.6 Luna: ↑ 570.3%
#19

Grok 4.5
xAI

$0.024400 (rounded ~ $0.02)
vs Gemini 3.8 Flash: ↑ 100.8%
vs GPT-5.6 Luna: ↑ 570.3%
#20

Gemini 2.5 Pro
Google

$0.027750 (rounded ~ $0.03)
vs Gemini 3.8 Flash: ↑ 128.4%
vs GPT-5.6 Luna: ↑ 662.4%
#21

Claude Sonnet 5.5
Anthropic

$0.032200 (rounded ~ $0.03)
vs Gemini 3.8 Flash: ↑ 165%
vs GPT-5.6 Luna: ↑ 784.6%
#22

Claude Sonnet 5
Anthropic

$0.032400 (rounded ~ $0.03)
vs Gemini 3.8 Flash: ↑ 166.7%
vs GPT-5.6 Luna: ↑ 790.1%
#23

Gemini 4 Argon
Google

$0.032400 (rounded ~ $0.03)
vs Gemini 3.8 Flash: ↑ 166.7%
vs GPT-5.6 Luna: ↑ 790.1%
#24

GPT-6.1 Sol
OpenAI

$0.032400 (rounded ~ $0.03)
vs Gemini 3.8 Flash: ↑ 166.7%
vs GPT-5.6 Luna: ↑ 790.1%
#25

GPT-6 Sol
OpenAI

$0.032400 (rounded ~ $0.03)
vs Gemini 3.8 Flash: ↑ 166.7%
vs GPT-5.6 Luna: ↑ 790.1%
#26

Kimi K3.1 Pro
Moonshot AI

$0.032680 (rounded ~ $0.03)
vs Gemini 3.8 Flash: ↑ 169%
vs GPT-5.6 Luna: ↑ 797.8%
#27

Gemini 3.1 Pro
Google

$0.036400 (rounded ~ $0.04)
vs Gemini 3.8 Flash: ↑ 199.6%
vs GPT-5.6 Luna: ↑ 900%
#28

GPT-5.6 Terra
OpenAI

$0.036400 (rounded ~ $0.04)
vs Gemini 3.8 Flash: ↑ 199.6%
vs GPT-5.6 Luna: ↑ 900%
#29

GPT-5.3 Codex Spark
OpenAI

$0.038850 (rounded ~ $0.04)
vs Gemini 3.8 Flash: ↑ 219.8%
vs GPT-5.6 Luna: ↑ 967.3%
#30

GPT-5.3 Instant
OpenAI

$0.038850 (rounded ~ $0.04)
vs Gemini 3.8 Flash: ↑ 219.8%
vs GPT-5.6 Luna: ↑ 967.3%
#31

GPT-5.4
OpenAI

$0.045500 (rounded ~ $0.05)
vs Gemini 3.8 Flash: ↑ 274.5%
vs GPT-5.6 Luna: ↑ 1150%
#32

GPT-5.4 Thinking
OpenAI

$0.045500 (rounded ~ $0.05)
vs Gemini 3.8 Flash: ↑ 274.5%
vs GPT-5.6 Luna: ↑ 1150%
#33

Claude Sonnet 4.6
Anthropic

$0.048600 (rounded ~ $0.05)
vs Gemini 3.8 Flash: ↑ 300%
vs GPT-5.6 Luna: ↑ 1235.2%
#34

Kimi K3
Moonshot AI

$0.049020
vs Gemini 3.8 Flash: ↑ 303.5%
vs GPT-5.6 Luna: ↑ 1246.7%
#35

Claude Opus 5.5
Anthropic

$0.064400 (rounded ~ $0.06)
vs Gemini 3.8 Flash: ↑ 430%
vs GPT-5.6 Luna: ↑ 1669.2%
#36

GPT-5.6 Sol
OpenAI

$0.064800 (rounded ~ $0.06)
vs Gemini 3.8 Flash: ↑ 433.3%
vs GPT-5.6 Luna: ↑ 1680.2%
#37

Muse Wonder 1.0
Meta AI

$0.072000 (rounded ~ $0.07)
vs Gemini 3.8 Flash: ↑ 492.6%
vs GPT-5.6 Luna: ↑ 1878%
#38

Claude Opus 4.7
Anthropic

$0.081000 (rounded ~ $0.08)
vs Gemini 3.8 Flash: ↑ 566.7%
vs GPT-5.6 Luna: ↑ 2125.3%
#39

Claude Opus 5
Anthropic

$0.081000 (rounded ~ $0.08)
vs Gemini 3.8 Flash: ↑ 566.7%
vs GPT-5.6 Luna: ↑ 2125.3%
#40

Claude Opus 4.8
Anthropic

$0.081000 (rounded ~ $0.08)
vs Gemini 3.8 Flash: ↑ 566.7%
vs GPT-5.6 Luna: ↑ 2125.3%
#41

Claude Opus 4.6
Anthropic

$0.081000 (rounded ~ $0.08)
vs Gemini 3.8 Flash: ↑ 566.7%
vs GPT-5.6 Luna: ↑ 2125.3%
#42

GPT-5.5
OpenAI

$0.091000 (rounded ~ $0.09)
vs Gemini 3.8 Flash: ↑ 649%
vs GPT-5.6 Luna: ↑ 2400%
#43

GPT-5.5 Instant
OpenAI

$0.091000 (rounded ~ $0.09)
vs Gemini 3.8 Flash: ↑ 649%
vs GPT-5.6 Luna: ↑ 2400%
#44

Claude Fable 5.1
Anthropic

$0.160500
vs Gemini 3.8 Flash: ↑ 1221%
vs GPT-5.6 Luna: ↑ 4309.3%
#45

Claude Mythos 5.1
Anthropic

$0.160500
vs Gemini 3.8 Flash: ↑ 1221%
vs GPT-5.6 Luna: ↑ 4309.3%
#46

Claude Fable 5
Anthropic

$0.162000 (rounded ~ $0.16)
vs Gemini 3.8 Flash: ↑ 1233.3%
vs GPT-5.6 Luna: ↑ 4350.5%
#47

Claude Mythos 5
Anthropic

$0.162000 (rounded ~ $0.16)
vs Gemini 3.8 Flash: ↑ 1233.3%
vs GPT-5.6 Luna: ↑ 4350.5%
#48

GPT-6 Astra
OpenAI

$0.162000 (rounded ~ $0.16)
vs Gemini 3.8 Flash: ↑ 1233.3%
vs GPT-5.6 Luna: ↑ 4350.5%
#49

GPT-5.2 Pro
OpenAI

$0.466200 (rounded ~ $0.47)
vs Gemini 3.8 Flash: ↑ 3737%
vs GPT-5.6 Luna: ↑ 12707.7%
#50

GPT-5.2 Pro
OpenAI

$0.466200 (rounded ~ $0.47)
vs Gemini 3.8 Flash: ↑ 3737%
vs GPT-5.6 Luna: ↑ 12707.7%
✨ 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.

Choosing Between Gemini 3.8 Flash and GPT-5.6 Luna

For mid-market ecommerce brands processing a high volume of customer support tickets, selecting the right model often comes down to balancing throughput with reasoning quality. Gemini 3.8 Flash and GPT-5.6 Luna represent two distinct approaches to this challenge, each offering unique strengths for multi-turn conversational agents.

Gemini 3.8 Flash is designed with a focus on multimodal integration and speed. If your support workflow involves not just text, but analyzing customer-provided images of damaged goods or audio clips from support calls, this model provides a highly efficient path. Its architecture is optimized for rapid responses, making it an excellent candidate for real-time deflection where latency directly impacts user experience. The model’s breadth of capability allows for a versatile agent that can handle diverse input types seamlessly.

Conversely, GPT-5.6 Luna offers a highly reliable performance profile for standard text-based support interactions. It is favored for its stability and predictable output, which can be easier to integrate into existing CRM systems that rely on strict formatting. For teams prioritizing a standardized, high-volume text pipeline, Luna provides a dependable baseline that minimizes the need for iterative prompting to achieve consistent results.

Ultimately, the decision depends on whether your support backlog is primarily text-based or if you are integrating rich media triage. Both models are capable of handling your 8K-input volume effectively, but their deployment should align with the specific nature of your customer queries.

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

Gemini 3.8 Flash currently costs $0.75 / $3.75 per 1M tokens. These are the models worth pricing against it, taken live from the tracked registry.

Compare across providers

Other models from the same provider

See every tracked AI pricing change →