100K-Token Contract Extraction Cost: Gemini 3.6 Flash for Legal Teams

Complete Analysis: 100,500 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
$0.021563 (rounded ~ $0.02) Total Cost
100,500 Total Tokens
5 minutes, 34.08 seconds Processing Time
301 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

$0.021563 Total Cost
$0.018750 Input Cost
$0.000938 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
$0.000215Cost per 1K
4,660,870Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

5m 34s Processing Time
304 Tokens/Second
120ms Time to First Token
301 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

$0.021563 (rounded ~ $0.02)
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) $0.038438 (rounded ~ $0.04) Input: $0.037500 (rounded ~ $0.04)
Output: $0.000938
Optimized Cost $0.021563 (rounded ~ $0.02) Input: $0.037500 (rounded ~ $0.04)
Output: $0.000938
Unit: $0.000000
Fees: $0.000000
Total Savings $0.016875 (rounded ~ $0.02) 43.9% 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: $0.000938
  • Total Cost: $0.021563 (rounded ~ $0.02)
  • Cost per 1K tokens: $0.000215
  • Tokens per dollar: 4,660,870 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: 5 minutes, 34.08 seconds
  • Latency: 120 milliseconds to first token
  • Base Throughput: 304 tokens/second
  • Effective Throughput: 301 tokens/second (temperature-adjusted)

Best Use Cases

Best for high-volume contract ingestionstandard NDA reviewand automated clause extraction where latency and throughput are critical.

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✨ Market Recommendations AI Model Registry

← Back to Gemini 3.6 Flash
📋 Active Input Parameters
Input Tokens: 100,000
Output Tokens: 500
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
 $0.001413 Best Value ↓ 93.4% cheaper
🥈 Gemini 3.1 Flash Lite
Google
 $0.003625 ↓ 83.2% cheaper
🥉 Gemini 3.5 Flash-Lite
Google
 $0.004438 ↓ 79.4% cheaper
#4 Gemini 2.5 Flash
Google
 $0.004438 ↓ 79.4% cheaper
#5 Mistral Large 3
Mistral AI
 $0.007063 (rounded ~ $0.01) ↓ 67.2% cheaper
#6 Gemini 3.8 Flash
Google
 $0.010781 ↓ 50% cheaper
#7 GPT-5.4 mini
OpenAI
 $0.010875 ↓ 49.6% cheaper
#8 o4-mini Deep Research
OpenAI
 $0.014250 (rounded ~ $0.01) ↓ 33.9% cheaper
#9 Claude Haiku 4.5
Anthropic
 $0.014375 (rounded ~ $0.01) ↓ 33.3% cheaper
#10 Gemini 3.1 Flash
Google
 $0.014500 (rounded ~ $0.01) ↓ 32.8% cheaper
#11 GPT-5.6 Luna
OpenAI
 $0.014500 (rounded ~ $0.01) ↓ 32.8% cheaper
#12 o4-mini
OpenAI
 $0.015675 (rounded ~ $0.02) ↓ 27.3% cheaper
#13 Gemini 3.5 Flash
Google
 $0.021750 (rounded ~ $0.02) ↑ 0.9% more
#14 GPT-5.3 Codex Spark
OpenAI
 $0.025813 (rounded ~ $0.03) ↑ 19.7% more
#15 GPT-5.3 Instant
OpenAI
 $0.025813 (rounded ~ $0.03) ↑ 19.7% more
#16 Claude Sonnet 5
Anthropic
 $0.028750 (rounded ~ $0.03) ↑ 33.3% more
#17 GPT-5.6 Terra
OpenAI
 $0.036250 (rounded ~ $0.04) ↑ 68.1% more
#18 Gemini 2.5 Pro
Google
 $0.036875 (rounded ~ $0.04) ↑ 71% more
#19 Claude Sonnet 4.6
Anthropic
 $0.043125 (rounded ~ $0.04) ↑ 100% more
#20 Grok 4.3
xAI
 $0.056000 (rounded ~ $0.06) ↑ 159.7% more
#21 Grok 4.20 Beta
xAI
 $0.056000 (rounded ~ $0.06) ↑ 159.7% more
#22 Gemini 3.1 Pro
Google
 $0.058000 (rounded ~ $0.06) ↑ 169% more
#23 Claude Opus 4.7
Anthropic
 $0.071875 (rounded ~ $0.07) ↑ 233.3% more
#24 Claude Opus 5
Anthropic
 $0.071875 (rounded ~ $0.07) ↑ 233.3% more
#25 Claude Opus 4.8
Anthropic
 $0.071875 (rounded ~ $0.07) ↑ 233.3% more
#26 Claude Opus 4.6
Anthropic
 $0.071875 (rounded ~ $0.07) ↑ 233.3% more
#27 GPT-5.4
OpenAI
 $0.072500 (rounded ~ $0.07) ↑ 236.2% more
#28 GPT-5.4 Thinking
OpenAI
 $0.072500 (rounded ~ $0.07) ↑ 236.2% more
#29 GPT-5.5 Instant
OpenAI
 $0.072500 (rounded ~ $0.07) ↑ 236.2% more
#30 GPT-5.6 Sol
OpenAI
 $0.072500 (rounded ~ $0.07) ↑ 236.2% more
#31 Claude Fable 5.1
Anthropic
 $0.134375 (rounded ~ $0.13) ↑ 523.2% more
#32 Claude Mythos 5.1
Anthropic
 $0.134375 (rounded ~ $0.13) ↑ 523.2% more
#33 o3 Deep Research
OpenAI
 $0.142500 (rounded ~ $0.14) ↑ 560.9% more
#34 Claude Fable 5
Anthropic
 $0.143750 (rounded ~ $0.14) ↑ 566.7% more
#35 Claude Mythos 5
Anthropic
 $0.143750 (rounded ~ $0.14) ↑ 566.7% more
#36 GPT-5.5
OpenAI
 $0.145000 (rounded ~ $0.15) ↑ 572.5% more
#37 o3 Pro
OpenAI
 $0.285000 (rounded ~ $0.29) ↑ 1221.7% more
#38 GPT-6 Astra
OpenAI
 $0.287500 (rounded ~ $0.29) ↑ 1233.3% more
#39 GPT-5.2 Pro
OpenAI
 $0.309750 ↑ 1336.5% more
#40 GPT-5.2 Pro
OpenAI
 $0.309750 ↑ 1336.5% more
🏆

Mistral Small 3
Mistral AI

$0.001413
vs Gemini 3.6 Flash: ↓ 93.4%
🥈

Gemini 3.1 Flash Lite
Google

$0.003625
vs Gemini 3.6 Flash: ↓ 83.2%
🥉

Gemini 3.5 Flash-Lite
Google

$0.004438
vs Gemini 3.6 Flash: ↓ 79.4%
#4

Gemini 2.5 Flash
Google

$0.004438
vs Gemini 3.6 Flash: ↓ 79.4%
#5

Mistral Large 3
Mistral AI

$0.007063 (rounded ~ $0.01)
vs Gemini 3.6 Flash: ↓ 67.2%
#6

Gemini 3.8 Flash
Google

$0.010781
vs Gemini 3.6 Flash: ↓ 50%
#7

GPT-5.4 mini
OpenAI

$0.010875
vs Gemini 3.6 Flash: ↓ 49.6%
#8

o4-mini Deep Research
OpenAI

$0.014250 (rounded ~ $0.01)
vs Gemini 3.6 Flash: ↓ 33.9%
#9

Claude Haiku 4.5
Anthropic

$0.014375 (rounded ~ $0.01)
vs Gemini 3.6 Flash: ↓ 33.3%
#10

Gemini 3.1 Flash
Google

$0.014500 (rounded ~ $0.01)
vs Gemini 3.6 Flash: ↓ 32.8%
#11

GPT-5.6 Luna
OpenAI

$0.014500 (rounded ~ $0.01)
vs Gemini 3.6 Flash: ↓ 32.8%
#12

o4-mini
OpenAI

$0.015675 (rounded ~ $0.02)
vs Gemini 3.6 Flash: ↓ 27.3%
#13

Gemini 3.5 Flash
Google

$0.021750 (rounded ~ $0.02)
vs Gemini 3.6 Flash: ↑ 0.9%
#14

GPT-5.3 Codex Spark
OpenAI

$0.025813 (rounded ~ $0.03)
vs Gemini 3.6 Flash: ↑ 19.7%
#15

GPT-5.3 Instant
OpenAI

$0.025813 (rounded ~ $0.03)
vs Gemini 3.6 Flash: ↑ 19.7%
#16

Claude Sonnet 5
Anthropic

$0.028750 (rounded ~ $0.03)
vs Gemini 3.6 Flash: ↑ 33.3%
#17

GPT-5.6 Terra
OpenAI

$0.036250 (rounded ~ $0.04)
vs Gemini 3.6 Flash: ↑ 68.1%
#18

Gemini 2.5 Pro
Google

$0.036875 (rounded ~ $0.04)
vs Gemini 3.6 Flash: ↑ 71%
#19

Claude Sonnet 4.6
Anthropic

$0.043125 (rounded ~ $0.04)
vs Gemini 3.6 Flash: ↑ 100%
#20

Grok 4.3
xAI

$0.056000 (rounded ~ $0.06)
vs Gemini 3.6 Flash: ↑ 159.7%
#21

Grok 4.20 Beta
xAI

$0.056000 (rounded ~ $0.06)
vs Gemini 3.6 Flash: ↑ 159.7%
#22

Gemini 3.1 Pro
Google

$0.058000 (rounded ~ $0.06)
vs Gemini 3.6 Flash: ↑ 169%
#23

Claude Opus 4.7
Anthropic

$0.071875 (rounded ~ $0.07)
vs Gemini 3.6 Flash: ↑ 233.3%
#24

Claude Opus 5
Anthropic

$0.071875 (rounded ~ $0.07)
vs Gemini 3.6 Flash: ↑ 233.3%
#25

Claude Opus 4.8
Anthropic

$0.071875 (rounded ~ $0.07)
vs Gemini 3.6 Flash: ↑ 233.3%
#26

Claude Opus 4.6
Anthropic

$0.071875 (rounded ~ $0.07)
vs Gemini 3.6 Flash: ↑ 233.3%
#27

GPT-5.4
OpenAI

$0.072500 (rounded ~ $0.07)
vs Gemini 3.6 Flash: ↑ 236.2%
#28

GPT-5.4 Thinking
OpenAI

$0.072500 (rounded ~ $0.07)
vs Gemini 3.6 Flash: ↑ 236.2%
#29

GPT-5.5 Instant
OpenAI

$0.072500 (rounded ~ $0.07)
vs Gemini 3.6 Flash: ↑ 236.2%
#30

GPT-5.6 Sol
OpenAI

$0.072500 (rounded ~ $0.07)
vs Gemini 3.6 Flash: ↑ 236.2%
#31

Claude Fable 5.1
Anthropic

$0.134375 (rounded ~ $0.13)
vs Gemini 3.6 Flash: ↑ 523.2%
#32

Claude Mythos 5.1
Anthropic

$0.134375 (rounded ~ $0.13)
vs Gemini 3.6 Flash: ↑ 523.2%
#33

o3 Deep Research
OpenAI

$0.142500 (rounded ~ $0.14)
vs Gemini 3.6 Flash: ↑ 560.9%
#34

Claude Fable 5
Anthropic

$0.143750 (rounded ~ $0.14)
vs Gemini 3.6 Flash: ↑ 566.7%
#35

Claude Mythos 5
Anthropic

$0.143750 (rounded ~ $0.14)
vs Gemini 3.6 Flash: ↑ 566.7%
#36

GPT-5.5
OpenAI

$0.145000 (rounded ~ $0.15)
vs Gemini 3.6 Flash: ↑ 572.5%
#37

o3 Pro
OpenAI

$0.285000 (rounded ~ $0.29)
vs Gemini 3.6 Flash: ↑ 1221.7%
#38

GPT-6 Astra
OpenAI

$0.287500 (rounded ~ $0.29)
vs Gemini 3.6 Flash: ↑ 1233.3%
#39

GPT-5.2 Pro
OpenAI

$0.309750
vs Gemini 3.6 Flash: ↑ 1336.5%
#40

GPT-5.2 Pro
OpenAI

$0.309750
vs Gemini 3.6 Flash: ↑ 1336.5%
✨ 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.

Efficiency at Scale for Routine Contract Analysis

For mid-market legal teams and startups, the challenge isn’t just accuracy—it’s cost-efficient scale. While frontier models dominate in complex litigation, routine tasks like standard NDA review, lease analysis, or clause extraction across thousands of documents require a high-throughput, latency-optimized solution. Gemini 3.6 Flash serves this role as the premier high-efficiency engine in 2026.

Gemini 3.6 Flash is engineered specifically for speed and long-context performance, making it the ideal choice for businesses that need to process documents at volume without the overhead of enterprise-tier frontier models. By deploying this model, your engineering team can handle high-frequency requests—such as real-time redlining during contract drafting or automated ingestion of vendor agreements—with minimal latency.

The real advantage of Gemini 3.6 Flash lies in its multimodal proficiency combined with its processing speed. Legal workflows often involve mixed formats, including scanned PDFs and legacy document formats. This model’s ability to ingest these files directly into a 1M-token context window allows for end-to-end review without needing secondary OCR pre-processing steps, reducing pipeline complexity significantly.

When planning your infrastructure, consider that Gemini 3.6 Flash is designed for the modern “legal-as-code” approach. Its native function-calling capabilities allow it to map extracted clauses directly into your CRM or contract lifecycle management (CLM) database. For teams managing 100K-token volumes, this provides a predictable, performance-oriented baseline that scales linearly as your organization’s document intake grows, ensuring that you maintain consistent operational costs while keeping pace with legal demand.

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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