Gemini 3.6 Flash 15,000-Token Query Pricing (1B+ Monthly Scale)

Complete Analysis: 16,000 tokens for Gemini 3.6 Flash
⚡ 50% Cached

Complete analysis of pricing, performance, and use cases for Google's Gemini 3.6 Flash model with 50% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
$0.004969 Total Cost
16,000 Total Tokens
56.50 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
$1.5 / $7.5 per 1M tokens
▼
▼
Use Batch API (50% discount)
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

$0.004969 Total Cost
$0.002813 Input Cost
$0.001875 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
16,000Total Tokens
$0.000311Cost per 1K
3,220,126Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

56.50s 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
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 3.6 Flash Google 1048576

$0.004969
Total Cost
⚡ 50% 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) $0.007500 (rounded ~ $0.01) Input: $0.005625 (rounded ~ $0.01)
Output: $0.001875
Optimized Cost $0.004969 Input: $0.005625 (rounded ~ $0.01)
Output: $0.001875
Unit: $0.000000
Fees: $0.000000
Total Savings $0.002531 33.8% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 15,000 input tokens and 1,000 output tokens:

  • Input Cost: $0.005625 (rounded ~ $0.01)
  • Output Cost: $0.001875
  • Total Cost: $0.004969
  • Cost per 1K tokens: $0.000311
  • Tokens per dollar: 3,220,126 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: 56.50 seconds
  • Latency: 120 milliseconds to first token
  • Base Throughput: 304 tokens/second
  • Effective Throughput: 284 tokens/second (temperature-adjusted)

Best Use Cases

High-throughput enterprise RAG pipelineslarge-scale catalog enrichmentand responsive customer support chatbots.

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✨ Market Recommendations AI Model Registry

← Back to Gemini 3.6 Flash
📋 Active Input Parameters
Input Tokens: 15,000
Output Tokens: 1,000
Batch API: Enabled (50% discount)
Cached Tokens: 50%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Gemini 3.6 Flash
🏆 Mistral Small 3
Mistral AI
 $0.000281 Best Value ↓ 94.3% cheaper
🥈 Gemini 3.1 Flash Lite
Google
 $0.000891 ↓ 82.1% cheaper
🥉 Gemini 3.5 Flash-Lite
Google
 $0.001244 ↓ 75% cheaper
#4 Gemini 2.5 Flash
Google
 $0.001244 ↓ 75% cheaper
#5 Mistral Large 3
Mistral AI
 $0.001406 ↓ 71.7% cheaper
#6 Gemini 3.8 Flash
Google
 $0.002484 ↓ 50% cheaper
#7 GPT-5.4 mini
OpenAI
 $0.002672 ↓ 46.2% cheaper
#8 o4-mini Deep Research
OpenAI
 $0.003063 ↓ 38.4% cheaper
#9 Claude Haiku 4.5
Anthropic
 $0.003313 ↓ 33.3% cheaper
#10 o4-mini
OpenAI
 $0.003369 ↓ 32.2% cheaper
#11 Gemini 3.1 Flash
Google
 $0.003563 ↓ 28.3% cheaper
#12 GPT-5.6 Luna
OpenAI
 $0.003563 ↓ 28.3% cheaper
#13 Gemini 3.5 Flash
Google
 $0.005344 (rounded ~ $0.01) ↑ 7.5% more
#14 Claude Sonnet 5
Anthropic
 $0.006625 (rounded ~ $0.01) ↑ 33.3% more
#15 GPT-5.3 Codex Spark
OpenAI
 $0.007109 (rounded ~ $0.01) ↑ 43.1% more
#16 GPT-5.3 Instant
OpenAI
 $0.007109 (rounded ~ $0.01) ↑ 43.1% more
#17 GPT-5.6 Terra
OpenAI
 $0.008906 (rounded ~ $0.01) ↑ 79.2% more
#18 Claude Sonnet 4.6
Anthropic
 $0.009938 ↑ 100% more
#19 Gemini 2.5 Pro
Google
 $0.010156 ↑ 104.4% more
#20 Grok 4.3
xAI
 $0.010250 ↑ 106.3% more
#21 Grok 4.20 Beta
xAI
 $0.010250 ↑ 106.3% more
#22 Gemini 3.1 Pro
Google
 $0.014250 (rounded ~ $0.01) ↑ 186.8% more
#23 Claude Opus 4.7
Anthropic
 $0.016563 (rounded ~ $0.02) ↑ 233.3% more
#24 Claude Opus 5
Anthropic
 $0.016563 (rounded ~ $0.02) ↑ 233.3% more
#25 Claude Opus 4.8
Anthropic
 $0.016563 (rounded ~ $0.02) ↑ 233.3% more
#26 Claude Opus 4.6
Anthropic
 $0.016563 (rounded ~ $0.02) ↑ 233.3% more
#27 GPT-5.4
OpenAI
 $0.017813 (rounded ~ $0.02) ↑ 258.5% more
#28 GPT-5.4 Thinking
OpenAI
 $0.017813 (rounded ~ $0.02) ↑ 258.5% more
#29 GPT-5.5 Instant
OpenAI
 $0.017813 (rounded ~ $0.02) ↑ 258.5% more
#30 GPT-5.6 Sol
OpenAI
 $0.017813 (rounded ~ $0.02) ↑ 258.5% more
#31 o3 Deep Research
OpenAI
 $0.030625 ↑ 516.4% more
#32 Claude Fable 5.1
Anthropic
 $0.031719 (rounded ~ $0.03) ↑ 538.4% more
#33 Claude Mythos 5.1
Anthropic
 $0.031719 (rounded ~ $0.03) ↑ 538.4% more
#34 Claude Fable 5
Anthropic
 $0.033125 (rounded ~ $0.03) ↑ 566.7% more
#35 Claude Mythos 5
Anthropic
 $0.033125 (rounded ~ $0.03) ↑ 566.7% more
#36 GPT-5.5
OpenAI
 $0.035625 (rounded ~ $0.04) ↑ 617% more
#37 o3 Pro
OpenAI
 $0.061250 (rounded ~ $0.06) ↑ 1132.7% more
#38 GPT-6 Astra
OpenAI
 $0.066250 (rounded ~ $0.07) ↑ 1233.3% more
#39 GPT-5.2 Pro
OpenAI
 $0.085313 (rounded ~ $0.09) ↑ 1617% more
#40 GPT-5.2 Pro
OpenAI
 $0.085313 (rounded ~ $0.09) ↑ 1617% more
🏆

Mistral Small 3
Mistral AI

$0.000281
vs Gemini 3.6 Flash: ↓ 94.3%
🥈

Gemini 3.1 Flash Lite
Google

$0.000891
vs Gemini 3.6 Flash: ↓ 82.1%
🥉

Gemini 3.5 Flash-Lite
Google

$0.001244
vs Gemini 3.6 Flash: ↓ 75%
#4

Gemini 2.5 Flash
Google

$0.001244
vs Gemini 3.6 Flash: ↓ 75%
#5

Mistral Large 3
Mistral AI

$0.001406
vs Gemini 3.6 Flash: ↓ 71.7%
#6

Gemini 3.8 Flash
Google

$0.002484
vs Gemini 3.6 Flash: ↓ 50%
#7

GPT-5.4 mini
OpenAI

$0.002672
vs Gemini 3.6 Flash: ↓ 46.2%
#8

o4-mini Deep Research
OpenAI

$0.003063
vs Gemini 3.6 Flash: ↓ 38.4%
#9

Claude Haiku 4.5
Anthropic

$0.003313
vs Gemini 3.6 Flash: ↓ 33.3%
#10

o4-mini
OpenAI

$0.003369
vs Gemini 3.6 Flash: ↓ 32.2%
#11

Gemini 3.1 Flash
Google

$0.003563
vs Gemini 3.6 Flash: ↓ 28.3%
#12

GPT-5.6 Luna
OpenAI

$0.003563
vs Gemini 3.6 Flash: ↓ 28.3%
#13

Gemini 3.5 Flash
Google

$0.005344 (rounded ~ $0.01)
vs Gemini 3.6 Flash: ↑ 7.5%
#14

Claude Sonnet 5
Anthropic

$0.006625 (rounded ~ $0.01)
vs Gemini 3.6 Flash: ↑ 33.3%
#15

GPT-5.3 Codex Spark
OpenAI

$0.007109 (rounded ~ $0.01)
vs Gemini 3.6 Flash: ↑ 43.1%
#16

GPT-5.3 Instant
OpenAI

$0.007109 (rounded ~ $0.01)
vs Gemini 3.6 Flash: ↑ 43.1%
#17

GPT-5.6 Terra
OpenAI

$0.008906 (rounded ~ $0.01)
vs Gemini 3.6 Flash: ↑ 79.2%
#18

Claude Sonnet 4.6
Anthropic

$0.009938
vs Gemini 3.6 Flash: ↑ 100%
#19

Gemini 2.5 Pro
Google

$0.010156
vs Gemini 3.6 Flash: ↑ 104.4%
#20

Grok 4.3
xAI

$0.010250
vs Gemini 3.6 Flash: ↑ 106.3%
#21

Grok 4.20 Beta
xAI

$0.010250
vs Gemini 3.6 Flash: ↑ 106.3%
#22

Gemini 3.1 Pro
Google

$0.014250 (rounded ~ $0.01)
vs Gemini 3.6 Flash: ↑ 186.8%
#23

Claude Opus 4.7
Anthropic

$0.016563 (rounded ~ $0.02)
vs Gemini 3.6 Flash: ↑ 233.3%
#24

Claude Opus 5
Anthropic

$0.016563 (rounded ~ $0.02)
vs Gemini 3.6 Flash: ↑ 233.3%
#25

Claude Opus 4.8
Anthropic

$0.016563 (rounded ~ $0.02)
vs Gemini 3.6 Flash: ↑ 233.3%
#26

Claude Opus 4.6
Anthropic

$0.016563 (rounded ~ $0.02)
vs Gemini 3.6 Flash: ↑ 233.3%
#27

GPT-5.4
OpenAI

$0.017813 (rounded ~ $0.02)
vs Gemini 3.6 Flash: ↑ 258.5%
#28

GPT-5.4 Thinking
OpenAI

$0.017813 (rounded ~ $0.02)
vs Gemini 3.6 Flash: ↑ 258.5%
#29

GPT-5.5 Instant
OpenAI

$0.017813 (rounded ~ $0.02)
vs Gemini 3.6 Flash: ↑ 258.5%
#30

GPT-5.6 Sol
OpenAI

$0.017813 (rounded ~ $0.02)
vs Gemini 3.6 Flash: ↑ 258.5%
#31

o3 Deep Research
OpenAI

$0.030625
vs Gemini 3.6 Flash: ↑ 516.4%
#32

Claude Fable 5.1
Anthropic

$0.031719 (rounded ~ $0.03)
vs Gemini 3.6 Flash: ↑ 538.4%
#33

Claude Mythos 5.1
Anthropic

$0.031719 (rounded ~ $0.03)
vs Gemini 3.6 Flash: ↑ 538.4%
#34

Claude Fable 5
Anthropic

$0.033125 (rounded ~ $0.03)
vs Gemini 3.6 Flash: ↑ 566.7%
#35

Claude Mythos 5
Anthropic

$0.033125 (rounded ~ $0.03)
vs Gemini 3.6 Flash: ↑ 566.7%
#36

GPT-5.5
OpenAI

$0.035625 (rounded ~ $0.04)
vs Gemini 3.6 Flash: ↑ 617%
#37

o3 Pro
OpenAI

$0.061250 (rounded ~ $0.06)
vs Gemini 3.6 Flash: ↑ 1132.7%
#38

GPT-6 Astra
OpenAI

$0.066250 (rounded ~ $0.07)
vs Gemini 3.6 Flash: ↑ 1233.3%
#39

GPT-5.2 Pro
OpenAI

$0.085313 (rounded ~ $0.09)
vs Gemini 3.6 Flash: ↑ 1617%
#40

GPT-5.2 Pro
OpenAI

$0.085313 (rounded ~ $0.09)
vs Gemini 3.6 Flash: ↑ 1617%
✨ 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.

Enterprise RAG at Scale

For high-volume e-commerce platforms, managing Retrieval-Augmented Generation (RAG) pipelines requires a strategic balance between query latency and contextual understanding. Gemini 3.6 Flash is engineered to meet these demands, offering an efficient architecture that excels in environments where throughput is the primary metric for success.

The model’s extensive context window is a critical asset for businesses indexing large product catalogs, technical support manuals, and comprehensive user guides. By maintaining a large, coherent window, the system can retrieve and synthesize information across thousands of tokens per request, ensuring that customer-facing interactions remain accurate and nuanced. Its multimodal capabilities further distinguish it, allowing for the ingestion and analysis of visual and structured data alongside text, which is indispensable for modern product discovery and catalog enrichment.

When deploying this model at the enterprise level, the focus shifts to maintaining performance under load. The model provides a compelling alternative to heavier, reasoning-intensive architectures, delivering rapid inference times that translate to a more responsive user experience. This efficiency is vital when scaling to millions of requests, where even minor latency improvements can significantly impact overall system performance and user satisfaction.

Teams prioritizing cost-effective scalability without compromising on the quality of structured extraction or summarization tasks will find this model a robust workhorse. It integrates seamlessly into existing infrastructure, facilitating rapid development cycles and consistent performance across diverse, multi-step agentic workflows that define the current generation of enterprise AI applications.

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 $1.50 / $7.50 per 1M tokens. These are the models worth pricing against it, taken live from the tracked registry.

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