Monthly Budget: Customer Support Chatbot at 10,000-Token Sessions

Complete Analysis: 12,000 tokens for Gemini 3.5 Flash
⚡ 50% Cached

Complete analysis of pricing, performance, and use cases for Google's Gemini 3.5 Flash model with 50% Cached.

⚡ Caching Optimized (up to 90% savings)
$0.026250 (rounded ~ $0.03) Total Cost
12,000 Total Tokens
15.29 seconds Processing Time
794 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
50%
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

$0.026250 Total Cost
$0.007500 Input Cost
$0.018000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
12,000Total Tokens
$0.002188Cost per 1K
457,143Tokens per $

📊 Advanced Cost Breakdown

Processing Speed

15.29s Processing Time
850 Tokens/Second
90ms Time to First Token
794 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 3.5 Flash Google 1000000

$0.026250 (rounded ~ $0.03)
Total Cost
⚡ 50% 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) $0.033000 (rounded ~ $0.03) Input: $0.015000 (rounded ~ $0.02)
Output: $0.018000 (rounded ~ $0.02)
Optimized Cost $0.026250 (rounded ~ $0.03) Input: $0.015000 (rounded ~ $0.02)
Output: $0.018000 (rounded ~ $0.02)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.006750 (rounded ~ $0.01) 20.5% discount

Detailed Cost Analysis (from Plugin)

For 10,000 input tokens and 2,000 output tokens:

  • Input Cost: $0.015000 (rounded ~ $0.02)
  • Output Cost: $0.018000 (rounded ~ $0.02)
  • Total Cost: $0.026250 (rounded ~ $0.03)
  • Cost per 1K tokens: $0.002188
  • Tokens per dollar: 457,143 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: 15.29 seconds
  • Latency: 90 milliseconds to first token
  • Base Throughput: 850 tokens/second
  • Effective Throughput: 794 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for high-volumelow-latency customer support agents and game NPC dialogue that requires fastconsistent response times.

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✨ Market Recommendations AI Model Registry

← Back to Gemini 3.5 Flash
📋 Active Input Parameters
Input Tokens: 10,000
Output Tokens: 2,000
Cached Tokens: 50%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Gemini 3.5 Flash
🏆 Claude Haiku 5.5
Anthropic
 $0.001550 Best Value ↓ 94.1% cheaper
🥈 GPT-6 Luna
OpenAI
 $0.001550 ↓ 94.1% cheaper
🥉 GPT-5.6 Luna
OpenAI
 $0.003500 ↓ 86.7% cheaper
#4 Grok Code Fast 1
xAI
 $0.004100 ↓ 84.4% cheaper
#5 Gemini 3.1 Flash Lite
Google
 $0.004375 ↓ 83.3% cheaper
#6 Mistral Large 3
Mistral AI
 $0.005750 (rounded ~ $0.01) ↓ 78.1% cheaper
#7 Gemini 3.5 Flash-Lite
Google
 $0.006650 (rounded ~ $0.01) ↓ 74.7% cheaper
#8 Gemini 2.5 Flash
Google
 $0.006650 (rounded ~ $0.01) ↓ 74.7% cheaper
#9 Gemini 3.1 Flash
Google
 $0.008750 (rounded ~ $0.01) ↓ 66.7% cheaper
#10 Grok Build 0.1
xAI
 $0.009500 ↓ 63.8% cheaper
#11 Gemini 3.8 Flash
Google
 $0.011625 (rounded ~ $0.01) ↓ 55.7% cheaper
#12 Gemini 3.6 Flash
Google
 $0.011625 (rounded ~ $0.01) ↓ 55.7% cheaper
#13 Grok 4.3
xAI
 $0.011875 (rounded ~ $0.01) ↓ 54.8% cheaper
#14 Grok 4.20 Beta
xAI
 $0.011875 (rounded ~ $0.01) ↓ 54.8% cheaper
#15 GPT-5.4 mini
OpenAI
 $0.013125 (rounded ~ $0.01) ↓ 50% cheaper
#16 Claude Haiku 4.5
Anthropic
 $0.015500 (rounded ~ $0.02) ↓ 41% cheaper
#17 Mistral Large 4
Mistral AI
 $0.015840 (rounded ~ $0.02) ↓ 39.7% cheaper
#18 Grok 4.7
xAI
 $0.023000 (rounded ~ $0.02) ↓ 12.4% cheaper
#19 Grok 4.6
xAI
 $0.023000 (rounded ~ $0.02) ↓ 12.4% cheaper
#20 Grok 4.5
xAI
 $0.023000 (rounded ~ $0.02) ↓ 12.4% cheaper
#21 Gemini 2.5 Pro
Google
 $0.026875 (rounded ~ $0.03) ↑ 2.4% more
#22 Claude Sonnet 5.5
Anthropic
 $0.030500 ↑ 16.2% more
#23 Claude Sonnet 5
Anthropic
 $0.031000 (rounded ~ $0.03) ↑ 18.1% more
#24 Gemini 4 Argon
Google
 $0.031000 (rounded ~ $0.03) ↑ 18.1% more
#25 GPT-6.1 Sol
OpenAI
 $0.031000 (rounded ~ $0.03) ↑ 18.1% more
#26 GPT-6 Sol
OpenAI
 $0.031000 (rounded ~ $0.03) ↑ 18.1% more
#27 Kimi K3.1 Pro
Moonshot AI
 $0.031700 (rounded ~ $0.03) ↑ 20.8% more
#28 Gemini 3.1 Pro
Google
 $0.035000 (rounded ~ $0.04) ↑ 33.3% more
#29 GPT-5.6 Terra
OpenAI
 $0.035000 (rounded ~ $0.04) ↑ 33.3% more
#30 GPT-5.3 Codex Spark
OpenAI
 $0.037625 (rounded ~ $0.04) ↑ 43.3% more
#31 GPT-5.3 Instant
OpenAI
 $0.037625 (rounded ~ $0.04) ↑ 43.3% more
#32 GPT-5.4
OpenAI
 $0.043750 (rounded ~ $0.04) ↑ 66.7% more
#33 GPT-5.4 Thinking
OpenAI
 $0.043750 (rounded ~ $0.04) ↑ 66.7% more
#34 Claude Sonnet 4.6
Anthropic
 $0.046500 (rounded ~ $0.05) ↑ 77.1% more
#35 Kimi K3
Moonshot AI
 $0.047550 (rounded ~ $0.05) ↑ 81.1% more
#36 Claude Opus 5.5
Anthropic
 $0.061000 (rounded ~ $0.06) ↑ 132.4% more
#37 GPT-5.6 Sol
OpenAI
 $0.062000 (rounded ~ $0.06) ↑ 136.2% more
#38 Claude Opus 4.7
Anthropic
 $0.077500 (rounded ~ $0.08) ↑ 195.2% more
#39 Claude Opus 5
Anthropic
 $0.077500 (rounded ~ $0.08) ↑ 195.2% more
#40 Claude Opus 4.8
Anthropic
 $0.077500 (rounded ~ $0.08) ↑ 195.2% more
#41 Claude Opus 4.6
Anthropic
 $0.077500 (rounded ~ $0.08) ↑ 195.2% more
#42 Muse Wonder 1.0
Meta AI
 $0.080000 ↑ 204.8% more
#43 GPT-5.5
OpenAI
 $0.087500 (rounded ~ $0.09) ↑ 233.3% more
#44 GPT-5.5 Instant
OpenAI
 $0.087500 (rounded ~ $0.09) ↑ 233.3% more
#45 Claude Fable 5.1
Anthropic
 $0.151250 (rounded ~ $0.15) ↑ 476.2% more
#46 Claude Mythos 5.1
Anthropic
 $0.151250 (rounded ~ $0.15) ↑ 476.2% more
#47 GPT-6 Astra
OpenAI
 $0.155000 (rounded ~ $0.16) ↑ 490.5% more
#48 Claude Fable 5
Anthropic
 $0.155000 (rounded ~ $0.16) ↑ 490.5% more
#49 Claude Mythos 5
Anthropic
 $0.155000 (rounded ~ $0.16) ↑ 490.5% more
#50 GPT-5.2 Pro
OpenAI
 $0.451500 (rounded ~ $0.45) ↑ 1620% more
#51 GPT-5.2 Pro
OpenAI
 $0.451500 (rounded ~ $0.45) ↑ 1620% more
🏆

Claude Haiku 5.5
Anthropic

$0.001550
vs Gemini 3.5 Flash: ↓ 94.1%
🥈

GPT-6 Luna
OpenAI

$0.001550
vs Gemini 3.5 Flash: ↓ 94.1%
🥉

GPT-5.6 Luna
OpenAI

$0.003500
vs Gemini 3.5 Flash: ↓ 86.7%
#4

Grok Code Fast 1
xAI

$0.004100
vs Gemini 3.5 Flash: ↓ 84.4%
#5

Gemini 3.1 Flash Lite
Google

$0.004375
vs Gemini 3.5 Flash: ↓ 83.3%
#6

Mistral Large 3
Mistral AI

$0.005750 (rounded ~ $0.01)
vs Gemini 3.5 Flash: ↓ 78.1%
#7

Gemini 3.5 Flash-Lite
Google

$0.006650 (rounded ~ $0.01)
vs Gemini 3.5 Flash: ↓ 74.7%
#8

Gemini 2.5 Flash
Google

$0.006650 (rounded ~ $0.01)
vs Gemini 3.5 Flash: ↓ 74.7%
#9

Gemini 3.1 Flash
Google

$0.008750 (rounded ~ $0.01)
vs Gemini 3.5 Flash: ↓ 66.7%
#10

Grok Build 0.1
xAI

$0.009500
vs Gemini 3.5 Flash: ↓ 63.8%
#11

Gemini 3.8 Flash
Google

$0.011625 (rounded ~ $0.01)
vs Gemini 3.5 Flash: ↓ 55.7%
#12

Gemini 3.6 Flash
Google

$0.011625 (rounded ~ $0.01)
vs Gemini 3.5 Flash: ↓ 55.7%
#13

Grok 4.3
xAI

$0.011875 (rounded ~ $0.01)
vs Gemini 3.5 Flash: ↓ 54.8%
#14

Grok 4.20 Beta
xAI

$0.011875 (rounded ~ $0.01)
vs Gemini 3.5 Flash: ↓ 54.8%
#15

GPT-5.4 mini
OpenAI

$0.013125 (rounded ~ $0.01)
vs Gemini 3.5 Flash: ↓ 50%
#16

Claude Haiku 4.5
Anthropic

$0.015500 (rounded ~ $0.02)
vs Gemini 3.5 Flash: ↓ 41%
#17

Mistral Large 4
Mistral AI

$0.015840 (rounded ~ $0.02)
vs Gemini 3.5 Flash: ↓ 39.7%
#18

Grok 4.7
xAI

$0.023000 (rounded ~ $0.02)
vs Gemini 3.5 Flash: ↓ 12.4%
#19

Grok 4.6
xAI

$0.023000 (rounded ~ $0.02)
vs Gemini 3.5 Flash: ↓ 12.4%
#20

Grok 4.5
xAI

$0.023000 (rounded ~ $0.02)
vs Gemini 3.5 Flash: ↓ 12.4%
#21

Gemini 2.5 Pro
Google

$0.026875 (rounded ~ $0.03)
vs Gemini 3.5 Flash: ↑ 2.4%
#22

Claude Sonnet 5.5
Anthropic

$0.030500
vs Gemini 3.5 Flash: ↑ 16.2%
#23

Claude Sonnet 5
Anthropic

$0.031000 (rounded ~ $0.03)
vs Gemini 3.5 Flash: ↑ 18.1%
#24

Gemini 4 Argon
Google

$0.031000 (rounded ~ $0.03)
vs Gemini 3.5 Flash: ↑ 18.1%
#25

GPT-6.1 Sol
OpenAI

$0.031000 (rounded ~ $0.03)
vs Gemini 3.5 Flash: ↑ 18.1%
#26

GPT-6 Sol
OpenAI

$0.031000 (rounded ~ $0.03)
vs Gemini 3.5 Flash: ↑ 18.1%
#27

Kimi K3.1 Pro
Moonshot AI

$0.031700 (rounded ~ $0.03)
vs Gemini 3.5 Flash: ↑ 20.8%
#28

Gemini 3.1 Pro
Google

$0.035000 (rounded ~ $0.04)
vs Gemini 3.5 Flash: ↑ 33.3%
#29

GPT-5.6 Terra
OpenAI

$0.035000 (rounded ~ $0.04)
vs Gemini 3.5 Flash: ↑ 33.3%
#30

GPT-5.3 Codex Spark
OpenAI

$0.037625 (rounded ~ $0.04)
vs Gemini 3.5 Flash: ↑ 43.3%
#31

GPT-5.3 Instant
OpenAI

$0.037625 (rounded ~ $0.04)
vs Gemini 3.5 Flash: ↑ 43.3%
#32

GPT-5.4
OpenAI

$0.043750 (rounded ~ $0.04)
vs Gemini 3.5 Flash: ↑ 66.7%
#33

GPT-5.4 Thinking
OpenAI

$0.043750 (rounded ~ $0.04)
vs Gemini 3.5 Flash: ↑ 66.7%
#34

Claude Sonnet 4.6
Anthropic

$0.046500 (rounded ~ $0.05)
vs Gemini 3.5 Flash: ↑ 77.1%
#35

Kimi K3
Moonshot AI

$0.047550 (rounded ~ $0.05)
vs Gemini 3.5 Flash: ↑ 81.1%
#36

Claude Opus 5.5
Anthropic

$0.061000 (rounded ~ $0.06)
vs Gemini 3.5 Flash: ↑ 132.4%
#37

GPT-5.6 Sol
OpenAI

$0.062000 (rounded ~ $0.06)
vs Gemini 3.5 Flash: ↑ 136.2%
#38

Claude Opus 4.7
Anthropic

$0.077500 (rounded ~ $0.08)
vs Gemini 3.5 Flash: ↑ 195.2%
#39

Claude Opus 5
Anthropic

$0.077500 (rounded ~ $0.08)
vs Gemini 3.5 Flash: ↑ 195.2%
#40

Claude Opus 4.8
Anthropic

$0.077500 (rounded ~ $0.08)
vs Gemini 3.5 Flash: ↑ 195.2%
#41

Claude Opus 4.6
Anthropic

$0.077500 (rounded ~ $0.08)
vs Gemini 3.5 Flash: ↑ 195.2%
#42

Muse Wonder 1.0
Meta AI

$0.080000
vs Gemini 3.5 Flash: ↑ 204.8%
#43

GPT-5.5
OpenAI

$0.087500 (rounded ~ $0.09)
vs Gemini 3.5 Flash: ↑ 233.3%
#44

GPT-5.5 Instant
OpenAI

$0.087500 (rounded ~ $0.09)
vs Gemini 3.5 Flash: ↑ 233.3%
#45

Claude Fable 5.1
Anthropic

$0.151250 (rounded ~ $0.15)
vs Gemini 3.5 Flash: ↑ 476.2%
#46

Claude Mythos 5.1
Anthropic

$0.151250 (rounded ~ $0.15)
vs Gemini 3.5 Flash: ↑ 476.2%
#47

GPT-6 Astra
OpenAI

$0.155000 (rounded ~ $0.16)
vs Gemini 3.5 Flash: ↑ 490.5%
#48

Claude Fable 5
Anthropic

$0.155000 (rounded ~ $0.16)
vs Gemini 3.5 Flash: ↑ 490.5%
#49

Claude Mythos 5
Anthropic

$0.155000 (rounded ~ $0.16)
vs Gemini 3.5 Flash: ↑ 490.5%
#50

GPT-5.2 Pro
OpenAI

$0.451500 (rounded ~ $0.45)
vs Gemini 3.5 Flash: ↑ 1620%
#51

GPT-5.2 Pro
OpenAI

$0.451500 (rounded ~ $0.45)
vs Gemini 3.5 Flash: ↑ 1620%
✨ 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.

For indie game developers and SaaS founders managing customer support, the primary challenge is balancing latency with contextual memory. When your AI NPC or support agent handles long-form, multi-turn conversations, it needs enough context to remember previous user inputs without hallucinating new details. Gemini 3.5 Flash is engineered for these high-throughput, low-latency environments where rapid response times are critical for user retention.

Why Gemini 3.5 Flash for Support

The core advantage here is the model’s ability to process large amounts of conversational history while maintaining a small footprint. Unlike larger reasoning models that might introduce slight delays, Gemini 3.5 Flash is optimized for the kind of consistent, rapid-fire interaction that defines a smooth user experience. This makes it an ideal candidate for agents that need to route queries, summarize past interactions, or handle simple administrative tasks without breaking the flow of conversation.

When planning your support infrastructure, prioritize models that handle streaming well. In an in-game or SaaS context, users expect immediate acknowledgement. Gemini 3.5 Flash integrates seamlessly with existing streaming protocols, allowing you to provide real-time updates as the model generates its response. This is essential for maintaining the illusion of a responsive, intelligent agent rather than a delayed database lookup. By focusing on models with high token throughput, you can scale your support operations without hitting the latency bottlenecks that often plague heavier, more logic-focused models.

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.

Compare across providers

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