Gemini 3.5 Flash: 100K-Token Per-Call High-Throughput Email Pipeline

Complete Analysis: 100,500 tokens for Gemini 3.5 Flash
⚡ 20% Cached

Complete analysis of pricing, performance, and use cases for Google's Gemini 3.5 Flash model with 20% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
$0.031875 (rounded ~ $0.03) Total Cost
100,500 Total Tokens
2 minutes, 4.33 seconds Processing Time
810 Effective Tokens/Sec

Click Recalculate to update after making changes

Select AI Model

Gemini 3.5 Flash
GoogleMax Context: 1,000,000 tokens
$1.5 / $9 per 1M tokens
▼
▼
Use Batch API (50% discount)
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

$0.031875 Total Cost
$0.030000 Input Cost
$0.001125 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
100,500Total Tokens
$0.000317Cost per 1K
3,152,941Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

2m 4s Processing Time
850 Tokens/Second
90ms Time to First Token
810 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

Gemini 3.5 Flash Google 1000000

$0.031875 (rounded ~ $0.03)
Total Cost
⚡ 20% Cached 📊 Batch API 🔧 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) $0.038625 (rounded ~ $0.04) Input: $0.037500 (rounded ~ $0.04)
Output: $0.001125
Optimized Cost $0.031875 (rounded ~ $0.03) Input: $0.037500 (rounded ~ $0.04)
Output: $0.001125
Unit: $0.000000
Fees: $0.000000
Total Savings $0.006750 (rounded ~ $0.01) 17.5% 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 500 output tokens:

  • Input Cost: $0.037500 (rounded ~ $0.04)
  • Output Cost: $0.001125
  • Total Cost: $0.031875 (rounded ~ $0.03)
  • Cost per 1K tokens: $0.000317
  • Tokens per dollar: 3,152,941 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 850 tokens per second and 90ms time to first token:

  • Processing Time: 2 minutes, 4.33 seconds
  • Latency: 90 milliseconds to first token
  • Base Throughput: 850 tokens/second
  • Effective Throughput: 810 tokens/second (temperature-adjusted)

Best Use Cases

High-volume email drafting and structured content generation at enterprise scale.

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✨ Market Recommendations AI Model Registry

← Back to Gemini 3.5 Flash
📋 Active Input Parameters
Input Tokens: 100,000
Output Tokens: 500
Batch API: Enabled (50% discount)
Cached Tokens: 20%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Gemini 3.5 Flash
🏆 Mistral Small 3
Mistral AI
 $0.002088 Best Value ↓ 93.5% cheaper
🥈 Gemini 3.1 Flash Lite
Google
 $0.005313 (rounded ~ $0.01) ↓ 83.3% cheaper
🥉 Gemini 3.5 Flash-Lite
Google
 $0.006463 (rounded ~ $0.01) ↓ 79.7% cheaper
#4 Gemini 2.5 Flash
Google
 $0.006463 (rounded ~ $0.01) ↓ 79.7% cheaper
#5 Mistral Large 3
Mistral AI
 $0.010438 ↓ 67.3% cheaper
#6 Gemini 3.8 Flash
Google
 $0.015844 (rounded ~ $0.02) ↓ 50.3% cheaper
#7 GPT-5.4 mini
OpenAI
 $0.015938 (rounded ~ $0.02) ↓ 50% cheaper
#8 o4-mini Deep Research
OpenAI
 $0.021000 (rounded ~ $0.02) ↓ 34.1% cheaper
#9 Claude Haiku 4.5
Anthropic
 $0.021125 (rounded ~ $0.02) ↓ 33.7% cheaper
#10 Gemini 3.1 Flash
Google
 $0.021250 (rounded ~ $0.02) ↓ 33.3% cheaper
#11 GPT-5.6 Luna
OpenAI
 $0.021250 (rounded ~ $0.02) ↓ 33.3% cheaper
#12 o4-mini
OpenAI
 $0.023100 (rounded ~ $0.02) ↓ 27.5% cheaper
#13 Gemini 3.6 Flash
Google
 $0.031688 (rounded ~ $0.03) ↓ 0.6% cheaper
#14 GPT-5.3 Codex Spark
OpenAI
 $0.037625 (rounded ~ $0.04) ↑ 18% more
#15 GPT-5.3 Instant
OpenAI
 $0.037625 (rounded ~ $0.04) ↑ 18% more
#16 Claude Sonnet 5
Anthropic
 $0.042250 (rounded ~ $0.04) ↑ 32.5% more
#17 GPT-5.6 Terra
OpenAI
 $0.053125 (rounded ~ $0.05) ↑ 66.7% more
#18 Gemini 2.5 Pro
Google
 $0.053750 (rounded ~ $0.05) ↑ 68.6% more
#19 Claude Sonnet 4.6
Anthropic
 $0.063375 (rounded ~ $0.06) ↑ 98.8% more
#20 Grok 4.3
xAI
 $0.083000 (rounded ~ $0.08) ↑ 160.4% more
#21 Grok 4.20 Beta
xAI
 $0.083000 (rounded ~ $0.08) ↑ 160.4% more
#22 Gemini 3.1 Pro
Google
 $0.085000 (rounded ~ $0.09) ↑ 166.7% more
#23 Claude Opus 4.7
Anthropic
 $0.105625 (rounded ~ $0.11) ↑ 231.4% more
#24 Claude Opus 5
Anthropic
 $0.105625 (rounded ~ $0.11) ↑ 231.4% more
#25 Claude Opus 4.8
Anthropic
 $0.105625 (rounded ~ $0.11) ↑ 231.4% more
#26 Claude Opus 4.6
Anthropic
 $0.105625 (rounded ~ $0.11) ↑ 231.4% more
#27 GPT-5.4
OpenAI
 $0.106250 (rounded ~ $0.11) ↑ 233.3% more
#28 GPT-5.4 Thinking
OpenAI
 $0.106250 (rounded ~ $0.11) ↑ 233.3% more
#29 GPT-5.5 Instant
OpenAI
 $0.106250 (rounded ~ $0.11) ↑ 233.3% more
#30 GPT-5.6 Sol
OpenAI
 $0.106250 (rounded ~ $0.11) ↑ 233.3% more
#31 Claude Fable 5.1
Anthropic
 $0.207500 (rounded ~ $0.21) ↑ 551% more
#32 Claude Mythos 5.1
Anthropic
 $0.207500 (rounded ~ $0.21) ↑ 551% more
#33 o3 Deep Research
OpenAI
 $0.210000 ↑ 558.8% more
#34 Claude Fable 5
Anthropic
 $0.211250 (rounded ~ $0.21) ↑ 562.7% more
#35 Claude Mythos 5
Anthropic
 $0.211250 (rounded ~ $0.21) ↑ 562.7% more
#36 GPT-5.5
OpenAI
 $0.212500 (rounded ~ $0.21) ↑ 566.7% more
#37 o3 Pro
OpenAI
 $0.420000 ↑ 1217.6% more
#38 GPT-6 Astra
OpenAI
 $0.422500 (rounded ~ $0.42) ↑ 1225.5% more
#39 GPT-5.2 Pro
OpenAI
 $0.451500 (rounded ~ $0.45) ↑ 1316.5% more
#40 GPT-5.2 Pro
OpenAI
 $0.451500 (rounded ~ $0.45) ↑ 1316.5% more
🏆

Mistral Small 3
Mistral AI

$0.002088
vs Gemini 3.5 Flash: ↓ 93.5%
🥈

Gemini 3.1 Flash Lite
Google

$0.005313 (rounded ~ $0.01)
vs Gemini 3.5 Flash: ↓ 83.3%
🥉

Gemini 3.5 Flash-Lite
Google

$0.006463 (rounded ~ $0.01)
vs Gemini 3.5 Flash: ↓ 79.7%
#4

Gemini 2.5 Flash
Google

$0.006463 (rounded ~ $0.01)
vs Gemini 3.5 Flash: ↓ 79.7%
#5

Mistral Large 3
Mistral AI

$0.010438
vs Gemini 3.5 Flash: ↓ 67.3%
#6

Gemini 3.8 Flash
Google

$0.015844 (rounded ~ $0.02)
vs Gemini 3.5 Flash: ↓ 50.3%
#7

GPT-5.4 mini
OpenAI

$0.015938 (rounded ~ $0.02)
vs Gemini 3.5 Flash: ↓ 50%
#8

o4-mini Deep Research
OpenAI

$0.021000 (rounded ~ $0.02)
vs Gemini 3.5 Flash: ↓ 34.1%
#9

Claude Haiku 4.5
Anthropic

$0.021125 (rounded ~ $0.02)
vs Gemini 3.5 Flash: ↓ 33.7%
#10

Gemini 3.1 Flash
Google

$0.021250 (rounded ~ $0.02)
vs Gemini 3.5 Flash: ↓ 33.3%
#11

GPT-5.6 Luna
OpenAI

$0.021250 (rounded ~ $0.02)
vs Gemini 3.5 Flash: ↓ 33.3%
#12

o4-mini
OpenAI

$0.023100 (rounded ~ $0.02)
vs Gemini 3.5 Flash: ↓ 27.5%
#13

Gemini 3.6 Flash
Google

$0.031688 (rounded ~ $0.03)
vs Gemini 3.5 Flash: ↓ 0.6%
#14

GPT-5.3 Codex Spark
OpenAI

$0.037625 (rounded ~ $0.04)
vs Gemini 3.5 Flash: ↑ 18%
#15

GPT-5.3 Instant
OpenAI

$0.037625 (rounded ~ $0.04)
vs Gemini 3.5 Flash: ↑ 18%
#16

Claude Sonnet 5
Anthropic

$0.042250 (rounded ~ $0.04)
vs Gemini 3.5 Flash: ↑ 32.5%
#17

GPT-5.6 Terra
OpenAI

$0.053125 (rounded ~ $0.05)
vs Gemini 3.5 Flash: ↑ 66.7%
#18

Gemini 2.5 Pro
Google

$0.053750 (rounded ~ $0.05)
vs Gemini 3.5 Flash: ↑ 68.6%
#19

Claude Sonnet 4.6
Anthropic

$0.063375 (rounded ~ $0.06)
vs Gemini 3.5 Flash: ↑ 98.8%
#20

Grok 4.3
xAI

$0.083000 (rounded ~ $0.08)
vs Gemini 3.5 Flash: ↑ 160.4%
#21

Grok 4.20 Beta
xAI

$0.083000 (rounded ~ $0.08)
vs Gemini 3.5 Flash: ↑ 160.4%
#22

Gemini 3.1 Pro
Google

$0.085000 (rounded ~ $0.09)
vs Gemini 3.5 Flash: ↑ 166.7%
#23

Claude Opus 4.7
Anthropic

$0.105625 (rounded ~ $0.11)
vs Gemini 3.5 Flash: ↑ 231.4%
#24

Claude Opus 5
Anthropic

$0.105625 (rounded ~ $0.11)
vs Gemini 3.5 Flash: ↑ 231.4%
#25

Claude Opus 4.8
Anthropic

$0.105625 (rounded ~ $0.11)
vs Gemini 3.5 Flash: ↑ 231.4%
#26

Claude Opus 4.6
Anthropic

$0.105625 (rounded ~ $0.11)
vs Gemini 3.5 Flash: ↑ 231.4%
#27

GPT-5.4
OpenAI

$0.106250 (rounded ~ $0.11)
vs Gemini 3.5 Flash: ↑ 233.3%
#28

GPT-5.4 Thinking
OpenAI

$0.106250 (rounded ~ $0.11)
vs Gemini 3.5 Flash: ↑ 233.3%
#29

GPT-5.5 Instant
OpenAI

$0.106250 (rounded ~ $0.11)
vs Gemini 3.5 Flash: ↑ 233.3%
#30

GPT-5.6 Sol
OpenAI

$0.106250 (rounded ~ $0.11)
vs Gemini 3.5 Flash: ↑ 233.3%
#31

Claude Fable 5.1
Anthropic

$0.207500 (rounded ~ $0.21)
vs Gemini 3.5 Flash: ↑ 551%
#32

Claude Mythos 5.1
Anthropic

$0.207500 (rounded ~ $0.21)
vs Gemini 3.5 Flash: ↑ 551%
#33

o3 Deep Research
OpenAI

$0.210000
vs Gemini 3.5 Flash: ↑ 558.8%
#34

Claude Fable 5
Anthropic

$0.211250 (rounded ~ $0.21)
vs Gemini 3.5 Flash: ↑ 562.7%
#35

Claude Mythos 5
Anthropic

$0.211250 (rounded ~ $0.21)
vs Gemini 3.5 Flash: ↑ 562.7%
#36

GPT-5.5
OpenAI

$0.212500 (rounded ~ $0.21)
vs Gemini 3.5 Flash: ↑ 566.7%
#37

o3 Pro
OpenAI

$0.420000
vs Gemini 3.5 Flash: ↑ 1217.6%
#38

GPT-6 Astra
OpenAI

$0.422500 (rounded ~ $0.42)
vs Gemini 3.5 Flash: ↑ 1225.5%
#39

GPT-5.2 Pro
OpenAI

$0.451500 (rounded ~ $0.45)
vs Gemini 3.5 Flash: ↑ 1316.5%
#40

GPT-5.2 Pro
OpenAI

$0.451500 (rounded ~ $0.45)
vs Gemini 3.5 Flash: ↑ 1316.5%
✨ 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.

Scaling Email Personalization with High-Throughput Infrastructure

For game studios managing large-scale player communication, email drafting is less about creative writing and more about high-volume, reliable execution. Gemini 3.5 Flash is architected specifically for these high-throughput requirements, excelling in pipelines where consistent latency and cost-efficiency define success. Unlike frontier models optimized for complex reasoning, this model prioritizes speed and structural consistency, making it the ideal choice for generating personalized updates, patch notes, or support responses at scale.

When you are processing 100,000+ emails per day, the primary bottleneck is often the overhead of model invocation. Gemini 3.5 Flash minimizes this friction by offering optimized performance for structured extraction and text generation, ensuring your system remains responsive even during peak player activity or major marketing pushes. The model handles large context windows gracefully, allowing you to inject substantial player history or game-state data into each prompt to ensure the output remains relevant without sacrificing speed.

Decision factors beyond raw capability include the model’s ability to integrate into existing CI/CD pipelines and its native support for function calling, which simplifies the process of linking your email generation to CRM and database triggers. For studio AI leads, this means less time spent managing API latency and more time focusing on optimizing the data inputs that drive personalization. By choosing this path, you trade the marginal reasoning gains of larger, more expensive models for the operational reliability required for true enterprise-scale production.

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 3.5 Flash currently costs $1.50 / $9.00 per 1M tokens. These are the models worth pricing against it, taken live from the tracked registry.

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