Gemini 3.6 Flash: Scaling Customer Support Agents to 100K Tokens Daily

Complete Analysis: 120,000 tokens for Gemini 3.6 Flash
⚡ 60% Cached

Complete analysis of pricing, performance, and use cases for Google's Gemini 3.6 Flash model with 60% Cached.

⚡ Caching Optimized (up to 90% savings)
$0.109500 Total Cost
120,000 Total Tokens
7 minutes, 2.55 seconds Processing Time
284 Effective Tokens/Sec

Click Recalculate to update after making changes

Select AI Model

Gemini 3.6 Flash

GoogleMax Context: 1,048,576 tokens
$0.75 / $3.75 per 1M tokens
60%
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

$0.109500 Total Cost
$0.030000 Input Cost
$0.075000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
120,000Total Tokens
$0.000913Cost per 1K
1,095,890Tokens per $

📊 Advanced Cost Breakdown

Processing Speed

7m 2s Processing Time
304 Tokens/Second
120ms Time to First Token
284 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 3.6 Flash Google 1048576

$0.109500
Total Cost
⚡ 60% 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) $0.150000 Input: $0.075000 (rounded ~ $0.08)
Output: $0.075000 (rounded ~ $0.08)
Optimized Cost $0.109500 Input: $0.075000 (rounded ~ $0.08)
Output: $0.075000 (rounded ~ $0.08)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.040500 27.0% discount

Detailed Cost Analysis (from Plugin)

For 100,000 input tokens and 20,000 output tokens:

  • Input Cost: $0.075000 (rounded ~ $0.08)
  • Output Cost: $0.075000 (rounded ~ $0.08)
  • Total Cost: $0.109500
  • Cost per 1K tokens: $0.000913
  • Tokens per dollar: 1,095,890 tokens
  • Context Window: 1048576 tokens

Speed & Performance Analysis

With a processing speed of 304 tokens per second and 120ms time to first token:

  • Processing Time: 7 minutes, 2.55 seconds
  • Latency: 120 milliseconds to first token
  • Base Throughput: 304 tokens/second
  • Effective Throughput: 284 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for high-volumelatency-sensitive support agents requiring multimodal understanding and efficient tool execution.

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✨ Market Recommendations AI Model Registry

← Back to Gemini 3.6 Flash
📋 Active Input Parameters
Input Tokens: 100,000
Output Tokens: 20,000
Cached Tokens: 60%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Gemini 3.6 Flash
🏆 Claude Haiku 5.5
Anthropic
 $0.014600 (rounded ~ $0.01) Best Value ↓ 86.7% cheaper
🥈 GPT-6 Luna
OpenAI
 $0.014600 (rounded ~ $0.01) ↓ 86.7% cheaper
🥉 GPT-5.6 Luna
OpenAI
 $0.033200 (rounded ~ $0.03) ↓ 69.7% cheaper
#4 Grok Code Fast 1
xAI
 $0.039200 ↓ 64.2% cheaper
#5 Gemini 3.1 Flash Lite
Google
 $0.041500 (rounded ~ $0.04) ↓ 62.1% cheaper
#6 Mistral Large 3
Mistral AI
 $0.053000 (rounded ~ $0.05) ↓ 51.6% cheaper
#7 Gemini 3.5 Flash-Lite
Google
 $0.063800 (rounded ~ $0.06) ↓ 41.7% cheaper
#8 Gemini 2.5 Flash
Google
 $0.063800 (rounded ~ $0.06) ↓ 41.7% cheaper
#9 Gemini 3.1 Flash
Google
 $0.083000 (rounded ~ $0.08) ↓ 24.2% cheaper
#10 Grok Build 0.1
xAI
 $0.086000 (rounded ~ $0.09) ↓ 21.5% cheaper
#11 Grok 4.3
xAI
 $0.107500 (rounded ~ $0.11) ↓ 1.8% cheaper
#12 Grok 4.20 Beta
xAI
 $0.107500 (rounded ~ $0.11) ↓ 1.8% cheaper
#13 Gemini 3.8 Flash
Google
 $0.109500 Same price
#14 GPT-5.4 mini
OpenAI
 $0.124500 (rounded ~ $0.12) ↑ 13.7% more
#15 Claude Haiku 4.5
Anthropic
 $0.146000 (rounded ~ $0.15) ↑ 33.3% more
#16 Mistral Large 4
Mistral AI
 $0.146160 (rounded ~ $0.15) ↑ 33.5% more
#17 Grok 4.7
xAI
 $0.212000 (rounded ~ $0.21) ↑ 93.6% more
#18 Grok 4.6
xAI
 $0.212000 (rounded ~ $0.21) ↑ 93.6% more
#19 Grok 4.5
xAI
 $0.212000 (rounded ~ $0.21) ↑ 93.6% more
#20 Gemini 2.5 Pro
Google
 $0.257500 (rounded ~ $0.26) ↑ 135.2% more
#21 Claude Sonnet 5.5
Anthropic
 $0.286000 (rounded ~ $0.29) ↑ 161.2% more
#22 Claude Sonnet 5
Anthropic
 $0.292000 (rounded ~ $0.29) ↑ 166.7% more
#23 Gemini 4 Argon
Google
 $0.292000 (rounded ~ $0.29) ↑ 166.7% more
#24 GPT-6.1 Sol
OpenAI
 $0.292000 (rounded ~ $0.29) ↑ 166.7% more
#25 GPT-6 Sol
OpenAI
 $0.292000 (rounded ~ $0.29) ↑ 166.7% more
#26 Kimi K3.1 Pro
Moonshot AI
 $0.300400 ↑ 174.3% more
#27 Gemini 3.1 Pro
Google
 $0.332000 (rounded ~ $0.33) ↑ 203.2% more
#28 GPT-5.6 Terra
OpenAI
 $0.332000 (rounded ~ $0.33) ↑ 203.2% more
#29 GPT-5.3 Codex Spark
OpenAI
 $0.360500 ↑ 229.2% more
#30 GPT-5.3 Instant
OpenAI
 $0.360500 ↑ 229.2% more
#31 GPT-5.4
OpenAI
 $0.415000 (rounded ~ $0.42) ↑ 279% more
#32 GPT-5.4 Thinking
OpenAI
 $0.415000 (rounded ~ $0.42) ↑ 279% more
#33 Claude Sonnet 4.6
Anthropic
 $0.438000 (rounded ~ $0.44) ↑ 300% more
#34 Kimi K3
Moonshot AI
 $0.450600 ↑ 311.5% more
#35 Claude Opus 5.5
Anthropic
 $0.572000 (rounded ~ $0.57) ↑ 422.4% more
#36 GPT-5.6 Sol
OpenAI
 $0.584000 (rounded ~ $0.58) ↑ 433.3% more
#37 Claude Opus 4.7
Anthropic
 $0.730000 ↑ 566.7% more
#38 Claude Opus 5
Anthropic
 $0.730000 ↑ 566.7% more
#39 Claude Opus 4.8
Anthropic
 $0.730000 ↑ 566.7% more
#40 Claude Opus 4.6
Anthropic
 $0.730000 ↑ 566.7% more
#41 Muse Wonder 1.0
Meta AI
 $0.800000 ↑ 630.6% more
#42 GPT-5.5
OpenAI
 $0.830000 ↑ 658% more
#43 GPT-5.5 Instant
OpenAI
 $0.830000 ↑ 658% more
#44 Claude Fable 5.1
Anthropic
 $1.415000 (rounded ~ $1.42) ↑ 1192.2% more
#45 Claude Mythos 5.1
Anthropic
 $1.415000 (rounded ~ $1.42) ↑ 1192.2% more
#46 Claude Fable 5
Anthropic
 $1.460000 ↑ 1233.3% more
#47 Claude Mythos 5
Anthropic
 $1.460000 ↑ 1233.3% more
#48 GPT-6 Astra
OpenAI
 $1.460000 ↑ 1233.3% more
#49 GPT-5.2 Pro
OpenAI
 $4.326000 (rounded ~ $4.33) ↑ 3850.7% more
#50 GPT-5.2 Pro
OpenAI
 $4.326000 (rounded ~ $4.33) ↑ 3850.7% more
🏆

Claude Haiku 5.5
Anthropic

$0.014600 (rounded ~ $0.01)
vs Gemini 3.6 Flash: ↓ 86.7%
🥈

GPT-6 Luna
OpenAI

$0.014600 (rounded ~ $0.01)
vs Gemini 3.6 Flash: ↓ 86.7%
🥉

GPT-5.6 Luna
OpenAI

$0.033200 (rounded ~ $0.03)
vs Gemini 3.6 Flash: ↓ 69.7%
#4

Grok Code Fast 1
xAI

$0.039200
vs Gemini 3.6 Flash: ↓ 64.2%
#5

Gemini 3.1 Flash Lite
Google

$0.041500 (rounded ~ $0.04)
vs Gemini 3.6 Flash: ↓ 62.1%
#6

Mistral Large 3
Mistral AI

$0.053000 (rounded ~ $0.05)
vs Gemini 3.6 Flash: ↓ 51.6%
#7

Gemini 3.5 Flash-Lite
Google

$0.063800 (rounded ~ $0.06)
vs Gemini 3.6 Flash: ↓ 41.7%
#8

Gemini 2.5 Flash
Google

$0.063800 (rounded ~ $0.06)
vs Gemini 3.6 Flash: ↓ 41.7%
#9

Gemini 3.1 Flash
Google

$0.083000 (rounded ~ $0.08)
vs Gemini 3.6 Flash: ↓ 24.2%
#10

Grok Build 0.1
xAI

$0.086000 (rounded ~ $0.09)
vs Gemini 3.6 Flash: ↓ 21.5%
#11

Grok 4.3
xAI

$0.107500 (rounded ~ $0.11)
vs Gemini 3.6 Flash: ↓ 1.8%
#12

Grok 4.20 Beta
xAI

$0.107500 (rounded ~ $0.11)
vs Gemini 3.6 Flash: ↓ 1.8%
#13

Gemini 3.8 Flash
Google

$0.109500
vs Gemini 3.6 Flash: Same
#14

GPT-5.4 mini
OpenAI

$0.124500 (rounded ~ $0.12)
vs Gemini 3.6 Flash: ↑ 13.7%
#15

Claude Haiku 4.5
Anthropic

$0.146000 (rounded ~ $0.15)
vs Gemini 3.6 Flash: ↑ 33.3%
#16

Mistral Large 4
Mistral AI

$0.146160 (rounded ~ $0.15)
vs Gemini 3.6 Flash: ↑ 33.5%
#17

Grok 4.7
xAI

$0.212000 (rounded ~ $0.21)
vs Gemini 3.6 Flash: ↑ 93.6%
#18

Grok 4.6
xAI

$0.212000 (rounded ~ $0.21)
vs Gemini 3.6 Flash: ↑ 93.6%
#19

Grok 4.5
xAI

$0.212000 (rounded ~ $0.21)
vs Gemini 3.6 Flash: ↑ 93.6%
#20

Gemini 2.5 Pro
Google

$0.257500 (rounded ~ $0.26)
vs Gemini 3.6 Flash: ↑ 135.2%
#21

Claude Sonnet 5.5
Anthropic

$0.286000 (rounded ~ $0.29)
vs Gemini 3.6 Flash: ↑ 161.2%
#22

Claude Sonnet 5
Anthropic

$0.292000 (rounded ~ $0.29)
vs Gemini 3.6 Flash: ↑ 166.7%
#23

Gemini 4 Argon
Google

$0.292000 (rounded ~ $0.29)
vs Gemini 3.6 Flash: ↑ 166.7%
#24

GPT-6.1 Sol
OpenAI

$0.292000 (rounded ~ $0.29)
vs Gemini 3.6 Flash: ↑ 166.7%
#25

GPT-6 Sol
OpenAI

$0.292000 (rounded ~ $0.29)
vs Gemini 3.6 Flash: ↑ 166.7%
#26

Kimi K3.1 Pro
Moonshot AI

$0.300400
vs Gemini 3.6 Flash: ↑ 174.3%
#27

Gemini 3.1 Pro
Google

$0.332000 (rounded ~ $0.33)
vs Gemini 3.6 Flash: ↑ 203.2%
#28

GPT-5.6 Terra
OpenAI

$0.332000 (rounded ~ $0.33)
vs Gemini 3.6 Flash: ↑ 203.2%
#29

GPT-5.3 Codex Spark
OpenAI

$0.360500
vs Gemini 3.6 Flash: ↑ 229.2%
#30

GPT-5.3 Instant
OpenAI

$0.360500
vs Gemini 3.6 Flash: ↑ 229.2%
#31

GPT-5.4
OpenAI

$0.415000 (rounded ~ $0.42)
vs Gemini 3.6 Flash: ↑ 279%
#32

GPT-5.4 Thinking
OpenAI

$0.415000 (rounded ~ $0.42)
vs Gemini 3.6 Flash: ↑ 279%
#33

Claude Sonnet 4.6
Anthropic

$0.438000 (rounded ~ $0.44)
vs Gemini 3.6 Flash: ↑ 300%
#34

Kimi K3
Moonshot AI

$0.450600
vs Gemini 3.6 Flash: ↑ 311.5%
#35

Claude Opus 5.5
Anthropic

$0.572000 (rounded ~ $0.57)
vs Gemini 3.6 Flash: ↑ 422.4%
#36

GPT-5.6 Sol
OpenAI

$0.584000 (rounded ~ $0.58)
vs Gemini 3.6 Flash: ↑ 433.3%
#37

Claude Opus 4.7
Anthropic

$0.730000
vs Gemini 3.6 Flash: ↑ 566.7%
#38

Claude Opus 5
Anthropic

$0.730000
vs Gemini 3.6 Flash: ↑ 566.7%
#39

Claude Opus 4.8
Anthropic

$0.730000
vs Gemini 3.6 Flash: ↑ 566.7%
#40

Claude Opus 4.6
Anthropic

$0.730000
vs Gemini 3.6 Flash: ↑ 566.7%
#41

Muse Wonder 1.0
Meta AI

$0.800000
vs Gemini 3.6 Flash: ↑ 630.6%
#42

GPT-5.5
OpenAI

$0.830000
vs Gemini 3.6 Flash: ↑ 658%
#43

GPT-5.5 Instant
OpenAI

$0.830000
vs Gemini 3.6 Flash: ↑ 658%
#44

Claude Fable 5.1
Anthropic

$1.415000 (rounded ~ $1.42)
vs Gemini 3.6 Flash: ↑ 1192.2%
#45

Claude Mythos 5.1
Anthropic

$1.415000 (rounded ~ $1.42)
vs Gemini 3.6 Flash: ↑ 1192.2%
#46

Claude Fable 5
Anthropic

$1.460000
vs Gemini 3.6 Flash: ↑ 1233.3%
#47

Claude Mythos 5
Anthropic

$1.460000
vs Gemini 3.6 Flash: ↑ 1233.3%
#48

GPT-6 Astra
OpenAI

$1.460000
vs Gemini 3.6 Flash: ↑ 1233.3%
#49

GPT-5.2 Pro
OpenAI

$4.326000 (rounded ~ $4.33)
vs Gemini 3.6 Flash: ↑ 3850.7%
#50

GPT-5.2 Pro
OpenAI

$4.326000 (rounded ~ $4.33)
vs Gemini 3.6 Flash: ↑ 3850.7%
✨ 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.

Gemini 3.6 Flash has emerged as a pragmatic favorite for developers scaling customer support agents that need to balance speed, cost, and intelligence. In high-volume support environments where latency directly impacts user satisfaction, Gemini 3.6 Flash offers a compelling performance profile. It is engineered to deliver rapid, accurate responses while maintaining the efficiency required for running hundreds of concurrent agent sessions without excessive overhead.

What makes this model particularly well-suited for support agents is its native multimodal reasoning. Modern support isn’t just text; customers frequently upload screenshots of error messages, PDFs of invoices, or short video clips of UI bugs. Gemini 3.6 Flash processes these inputs with low latency, allowing your agents to provide contextual, visual-aware assistance that standard text-only models would miss. For indie hackers and MVPs looking to build agents that handle diverse ticket types—from routine status checks to more complex troubleshooting—it serves as a reliable workhorse. Its capability to effectively orchestrate tools ensures that it can not only answer questions but also initiate the necessary actions to resolve them. By focusing on high-throughput, latency-optimized performance, Gemini 3.6 Flash allows you to build a responsive, enterprise-grade support layer that grows with your user base without the cost complexity of larger, frontier-tier reasoning 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 3.6 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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