Gemini 3.8 Flash Cost for 500K-Token Daily Email Campaigns

Complete Analysis: 800,000 tokens for Gemini 3.8 Flash
⚡ 20% Cached

Complete analysis of pricing, performance, and use cases for Google's Gemini 3.8 Flash model with 20% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
$0.358125 (rounded ~ $0.36) Total Cost
800,000 Total Tokens
41 minutes, 57.83 seconds Processing Time
318 Effective Tokens/Sec

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
20%
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

$0.358125 Total Cost
$0.075000 Input Cost
$0.281250 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
800,000Total Tokens
$0.000448Cost per 1K
2,233,857Tokens per $

📊 Advanced Cost Breakdown

Processing Speed

41m 57s 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

Gemini 3.8 Flash Google 1048576

$0.358125 (rounded ~ $0.36)
Total Cost
⚡ 20% 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) $0.375000 (rounded ~ $0.38) Input: $0.093750 (rounded ~ $0.09)
Output: $0.281250 (rounded ~ $0.28)
Optimized Cost $0.358125 (rounded ~ $0.36) Input: $0.093750 (rounded ~ $0.09)
Output: $0.281250 (rounded ~ $0.28)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.016875 (rounded ~ $0.02) 4.5% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 500,000 input tokens and 300,000 output tokens:

  • Input Cost: $0.093750 (rounded ~ $0.09)
  • Output Cost: $0.281250 (rounded ~ $0.28)
  • Total Cost: $0.358125 (rounded ~ $0.36)
  • Cost per 1K tokens: $0.000448
  • Tokens per dollar: 2,233,857 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: 41 minutes, 57.83 seconds
  • Latency: 105 milliseconds to first token
  • Base Throughput: 340 tokens/second
  • Effective Throughput: 318 tokens/second (temperature-adjusted)

Best Use Cases

High-throughput email personalization and bulk content generation for e-commerce marketing.

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✨ Market Recommendations AI Model Registry

← Back to Gemini 3.8 Flash
📋 Active Input Parameters
Input Tokens: 500,000
Output Tokens: 300,000
Batch API: Enabled (50% discount)
Cached Tokens: 20%
Rank AI Model & Provider Total Cost vs Gemini 3.8 Flash
🏆 Nemotron 3 Super
NVIDIA
 $0.092250 (rounded ~ $0.09) Best Value ↓ 74.2% cheaper
🥈 GPT-5.6 Luna
OpenAI
 $0.110500 ↓ 69.1% cheaper
🥉 Gemini 3.1 Flash Lite
Google
 $0.138125 (rounded ~ $0.14) ↓ 61.4% cheaper
#4 GPT-6 Luna
OpenAI
 $0.153500 (rounded ~ $0.15) ↓ 57.1% cheaper
#5 Gemini 3.5 Flash-Lite
Google
 $0.218250 (rounded ~ $0.22) ↓ 39.1% cheaper
#6 Gemini 2.5 Flash
Google
 $0.218250 (rounded ~ $0.22) ↓ 39.1% cheaper
#7 Gemini 3.6 Flash
Google
 $0.358125 (rounded ~ $0.36) Same price
#8 Mistral Large 4
Mistral AI
 $0.452900 (rounded ~ $0.45) ↑ 26.5% more
#9 Claude Haiku 5.5
Anthropic
 $0.477500 (rounded ~ $0.48) ↑ 33.3% more
#10 Claude Sonnet 5.5
Anthropic
 $0.952500 (rounded ~ $0.95) ↑ 166% more
#11 Claude Sonnet 5
Anthropic
 $0.955000 (rounded ~ $0.96) ↑ 166.7% more
#12 Gemini 4 Argon
Google
 $0.955000 (rounded ~ $0.96) ↑ 166.7% more
#13 Gemini 3.1 Flash
Google
 $1.105000 (rounded ~ $1.11) ↑ 208.6% more
#14 GPT-5.6 Terra
OpenAI
 $1.105000 (rounded ~ $1.11) ↑ 208.6% more
#15 Claude Sonnet 4.6
Anthropic
 $1.432500 (rounded ~ $1.43) ↑ 300% more
#16 Claude Opus 5.5
Anthropic
 $1.905000 (rounded ~ $1.91) ↑ 431.9% more
#17 GPT-5.6 Sol
OpenAI
 $1.910000 ↑ 433.3% more
#18 Grok 4.3
xAI
 $2.020000 ↑ 464% more
#19 Grok 4.20 Beta
xAI
 $2.020000 ↑ 464% more
#20 Claude Opus 4.7
Anthropic
 $2.387500 (rounded ~ $2.39) ↑ 566.7% more
#21 Claude Opus 5
Anthropic
 $2.387500 (rounded ~ $2.39) ↑ 566.7% more
#22 Claude Opus 4.8
Anthropic
 $2.387500 (rounded ~ $2.39) ↑ 566.7% more
#23 Claude Opus 4.6
Anthropic
 $2.387500 (rounded ~ $2.39) ↑ 566.7% more
#24 Gemini 2.5 Pro
Google
 $2.762500 (rounded ~ $2.76) ↑ 671.4% more
#25 GPT-6.1 Sol
OpenAI
 $3.070000 ↑ 757.2% more
#26 GPT-6 Sol
OpenAI
 $3.070000 ↑ 757.2% more
#27 Gemini 3.1 Pro
Google
 $3.520000 ↑ 882.9% more
#28 GPT-5.4
OpenAI
 $4.400000 ↑ 1128.6% more
#29 GPT-5.4 Thinking
OpenAI
 $4.400000 ↑ 1128.6% more
#30 Claude Fable 5.1
Anthropic
 $4.756250 (rounded ~ $4.76) ↑ 1228.1% more
#31 Claude Mythos 5.1
Anthropic
 $4.756250 (rounded ~ $4.76) ↑ 1228.1% more
#32 Claude Fable 5
Anthropic
 $4.775000 (rounded ~ $4.78) ↑ 1233.3% more
#33 Claude Mythos 5
Anthropic
 $4.775000 (rounded ~ $4.78) ↑ 1233.3% more
#34 GPT-5.5
OpenAI
 $8.800000 ↑ 2357.2% more
#35 GPT-6 Astra
OpenAI
 $19.100000 ↑ 5233.3% more
#36 GPT-6 Astra
OpenAI
 $19.100000 ↑ 5233.3% more
🏆

Nemotron 3 Super
NVIDIA

$0.092250 (rounded ~ $0.09)
vs Gemini 3.8 Flash: ↓ 74.2%
🥈

GPT-5.6 Luna
OpenAI

$0.110500
vs Gemini 3.8 Flash: ↓ 69.1%
🥉

Gemini 3.1 Flash Lite
Google

$0.138125 (rounded ~ $0.14)
vs Gemini 3.8 Flash: ↓ 61.4%
#4

GPT-6 Luna
OpenAI

$0.153500 (rounded ~ $0.15)
vs Gemini 3.8 Flash: ↓ 57.1%
#5

Gemini 3.5 Flash-Lite
Google

$0.218250 (rounded ~ $0.22)
vs Gemini 3.8 Flash: ↓ 39.1%
#6

Gemini 2.5 Flash
Google

$0.218250 (rounded ~ $0.22)
vs Gemini 3.8 Flash: ↓ 39.1%
#7

Gemini 3.6 Flash
Google

$0.358125 (rounded ~ $0.36)
vs Gemini 3.8 Flash: Same
#8

Mistral Large 4
Mistral AI

$0.452900 (rounded ~ $0.45)
vs Gemini 3.8 Flash: ↑ 26.5%
#9

Claude Haiku 5.5
Anthropic

$0.477500 (rounded ~ $0.48)
vs Gemini 3.8 Flash: ↑ 33.3%
#10

Claude Sonnet 5.5
Anthropic

$0.952500 (rounded ~ $0.95)
vs Gemini 3.8 Flash: ↑ 166%
#11

Claude Sonnet 5
Anthropic

$0.955000 (rounded ~ $0.96)
vs Gemini 3.8 Flash: ↑ 166.7%
#12

Gemini 4 Argon
Google

$0.955000 (rounded ~ $0.96)
vs Gemini 3.8 Flash: ↑ 166.7%
#13

Gemini 3.1 Flash
Google

$1.105000 (rounded ~ $1.11)
vs Gemini 3.8 Flash: ↑ 208.6%
#14

GPT-5.6 Terra
OpenAI

$1.105000 (rounded ~ $1.11)
vs Gemini 3.8 Flash: ↑ 208.6%
#15

Claude Sonnet 4.6
Anthropic

$1.432500 (rounded ~ $1.43)
vs Gemini 3.8 Flash: ↑ 300%
#16

Claude Opus 5.5
Anthropic

$1.905000 (rounded ~ $1.91)
vs Gemini 3.8 Flash: ↑ 431.9%
#17

GPT-5.6 Sol
OpenAI

$1.910000
vs Gemini 3.8 Flash: ↑ 433.3%
#18

Grok 4.3
xAI

$2.020000
vs Gemini 3.8 Flash: ↑ 464%
#19

Grok 4.20 Beta
xAI

$2.020000
vs Gemini 3.8 Flash: ↑ 464%
#20

Claude Opus 4.7
Anthropic

$2.387500 (rounded ~ $2.39)
vs Gemini 3.8 Flash: ↑ 566.7%
#21

Claude Opus 5
Anthropic

$2.387500 (rounded ~ $2.39)
vs Gemini 3.8 Flash: ↑ 566.7%
#22

Claude Opus 4.8
Anthropic

$2.387500 (rounded ~ $2.39)
vs Gemini 3.8 Flash: ↑ 566.7%
#23

Claude Opus 4.6
Anthropic

$2.387500 (rounded ~ $2.39)
vs Gemini 3.8 Flash: ↑ 566.7%
#24

Gemini 2.5 Pro
Google

$2.762500 (rounded ~ $2.76)
vs Gemini 3.8 Flash: ↑ 671.4%
#25

GPT-6.1 Sol
OpenAI

$3.070000
vs Gemini 3.8 Flash: ↑ 757.2%
#26

GPT-6 Sol
OpenAI

$3.070000
vs Gemini 3.8 Flash: ↑ 757.2%
#27

Gemini 3.1 Pro
Google

$3.520000
vs Gemini 3.8 Flash: ↑ 882.9%
#28

GPT-5.4
OpenAI

$4.400000
vs Gemini 3.8 Flash: ↑ 1128.6%
#29

GPT-5.4 Thinking
OpenAI

$4.400000
vs Gemini 3.8 Flash: ↑ 1128.6%
#30

Claude Fable 5.1
Anthropic

$4.756250 (rounded ~ $4.76)
vs Gemini 3.8 Flash: ↑ 1228.1%
#31

Claude Mythos 5.1
Anthropic

$4.756250 (rounded ~ $4.76)
vs Gemini 3.8 Flash: ↑ 1228.1%
#32

Claude Fable 5
Anthropic

$4.775000 (rounded ~ $4.78)
vs Gemini 3.8 Flash: ↑ 1233.3%
#33

Claude Mythos 5
Anthropic

$4.775000 (rounded ~ $4.78)
vs Gemini 3.8 Flash: ↑ 1233.3%
#34

GPT-5.5
OpenAI

$8.800000
vs Gemini 3.8 Flash: ↑ 2357.2%
#35

GPT-6 Astra
OpenAI

$19.100000
vs Gemini 3.8 Flash: ↑ 5233.3%
#36

GPT-6 Astra
OpenAI

$19.100000
vs Gemini 3.8 Flash: ↑ 5233.3%
✨ 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.

Optimizing Personalized Outreach at Scale

For e-commerce store owners managing high-volume email marketing, efficiency is the primary driver. Gemini 3.8 Flash provides a robust foundation for this workload, particularly when you need to process large batches of customer data into personalized messaging. Its architecture is tuned for high throughput, making it an excellent choice for daily tasks where you are generating hundreds of unique emails simultaneously based on user browsing history or purchase data.

The main advantage for this specific application is the model’s high context window combined with its speed. When running a daily batch of 500 personalized emails, the system can digest the entire product catalog and customer preference dataset in a single pass. This ensures that the generated content maintains consistency across all recipients while respecting the unique constraints of each customer profile. Because this model supports efficient batch processing, it is highly suitable for workflows where you want to minimize the time between data ingestion and finalized email dispatch.

Choosing this model is ideal if your priority is balancing high-quality personalization with technical performance. While it is highly capable for standard marketing copy, the strength lies in its ability to handle repetitive, logic-heavy generation tasks without significant latency spikes. If your email strategy relies on templated personalization that requires frequent updates based on real-time inventory or customer behavior, this model offers the stability and speed required to maintain a seamless operational cadence.

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.

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