Gemini 3.8 Flash for Legal Compliance: Cost for 500K-Token Summaries

Complete Analysis: 501,000 tokens for Gemini 3.8 Flash
⚡ 50% Cached

Complete analysis of pricing, performance, and use cases for Google's Gemini 3.8 Flash model with 50% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
$0.052500 (rounded ~ $0.05) Total Cost
501,000 Total Tokens
25 minutes, 47.39 seconds Processing Time
324 Effective Tokens/Sec

Click Recalculate to update after making changes

Select AI Model

Gemini 3.8 Flash

GoogleMax Context: 1,048,576 tokens
$0.75 / $3.75 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

$0.052500 Total Cost
$0.046875 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
501,000Total Tokens
$0.000105Cost per 1K
9,542,857Tokens per $

📊 Advanced Cost Breakdown

Processing Speed

25m 47s Processing Time
340 Tokens/Second
105ms Time to First Token
324 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 3.8 Flash Google 1048576

$0.052500 (rounded ~ $0.05)
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) $0.094688 (rounded ~ $0.09) Input: $0.093750 (rounded ~ $0.09)
Output: $0.000938
Optimized Cost $0.052500 (rounded ~ $0.05) Input: $0.093750 (rounded ~ $0.09)
Output: $0.000938
Unit: $0.000000
Fees: $0.000000
Total Savings $0.042188 (rounded ~ $0.04) 44.6% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 500,000 input tokens and 1,000 output tokens:

  • Input Cost: $0.093750 (rounded ~ $0.09)
  • Output Cost: $0.000938
  • Total Cost: $0.052500 (rounded ~ $0.05)
  • Cost per 1K tokens: $0.000105
  • Tokens per dollar: 9,542,857 tokens
  • Context Window: 1048576 tokens

Speed & Performance Analysis

With a processing speed of 340 tokens per second and 105ms time to first token:

  • Processing Time: 25 minutes, 47.39 seconds
  • Latency: 105 milliseconds to first token
  • Base Throughput: 340 tokens/second
  • Effective Throughput: 324 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for high-volume legal and regulatory document summarization where low-latency throughput and consistentlong-context reasoning are required.

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✨ Market Recommendations AI Model Registry

← Back to Gemini 3.8 Flash
📋 Active Input Parameters
Input Tokens: 500,000
Output Tokens: 1,000
Batch API: Enabled (50% discount)
Cached Tokens: 50%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Gemini 3.8 Flash
🏆 GPT-5.6 Luna
OpenAI
 $0.014050 (rounded ~ $0.01) Best Value ↓ 73.2% cheaper
🥈 Gemini 3.1 Flash Lite
Google
 $0.017563 (rounded ~ $0.02) ↓ 66.5% cheaper
🥉 Gemini 3.5 Flash-Lite
Google
 $0.021250 (rounded ~ $0.02) ↓ 59.5% cheaper
#4 Gemini 2.5 Flash
Google
 $0.021250 (rounded ~ $0.02) ↓ 59.5% cheaper
#5 GPT-6 Luna
OpenAI
 $0.027875 (rounded ~ $0.03) ↓ 46.9% cheaper
#6 Gemini 3.6 Flash
Google
 $0.052500 (rounded ~ $0.05) Same price
#7 Claude Haiku 5.5
Anthropic
 $0.070000 ↑ 33.3% more
#8 Mistral Large 4
Mistral AI
 $0.094545 (rounded ~ $0.09) ↑ 80.1% more
#9 Claude Sonnet 5.5
Anthropic
 $0.133750 (rounded ~ $0.13) ↑ 154.8% more
#10 Claude Sonnet 5
Anthropic
 $0.140000 ↑ 166.7% more
#11 Gemini 4 Argon
Google
 $0.140000 ↑ 166.7% more
#12 Gemini 3.1 Flash
Google
 $0.140500 ↑ 167.6% more
#13 GPT-5.6 Terra
OpenAI
 $0.140500 ↑ 167.6% more
#14 Claude Sonnet 4.6
Anthropic
 $0.210000 ↑ 300% more
#15 Claude Opus 5.5
Anthropic
 $0.267500 (rounded ~ $0.27) ↑ 409.5% more
#16 GPT-5.6 Sol
OpenAI
 $0.280000 ↑ 433.3% more
#17 Claude Opus 4.7
Anthropic
 $0.350000 ↑ 566.7% more
#18 Claude Opus 5
Anthropic
 $0.350000 ↑ 566.7% more
#19 Claude Opus 4.8
Anthropic
 $0.350000 ↑ 566.7% more
#20 Claude Opus 4.6
Anthropic
 $0.350000 ↑ 566.7% more
#21 Gemini 2.5 Pro
Google
 $0.351250 (rounded ~ $0.35) ↑ 569% more
#22 Grok 4.3
xAI
 $0.554000 (rounded ~ $0.55) ↑ 955.2% more
#23 Grok 4.20 Beta
xAI
 $0.554000 (rounded ~ $0.55) ↑ 955.2% more
#24 GPT-6.1 Sol
OpenAI
 $0.557500 (rounded ~ $0.56) ↑ 961.9% more
#25 GPT-6 Sol
OpenAI
 $0.557500 (rounded ~ $0.56) ↑ 961.9% more
#26 Gemini 3.1 Pro
Google
 $0.559000 (rounded ~ $0.56) ↑ 964.8% more
#27 Claude Fable 5.1
Anthropic
 $0.653125 (rounded ~ $0.65) ↑ 1144% more
#28 Claude Mythos 5.1
Anthropic
 $0.653125 (rounded ~ $0.65) ↑ 1144% more
#29 GPT-5.4
OpenAI
 $0.698750 (rounded ~ $0.70) ↑ 1231% more
#30 GPT-5.4 Thinking
OpenAI
 $0.698750 (rounded ~ $0.70) ↑ 1231% more
#31 Claude Fable 5
Anthropic
 $0.700000 ↑ 1233.3% more
#32 Claude Mythos 5
Anthropic
 $0.700000 ↑ 1233.3% more
#33 GPT-5.5
OpenAI
 $1.397500 (rounded ~ $1.40) ↑ 2561.9% more
#34 GPT-6 Astra
OpenAI
 $2.800000 ↑ 5233.3% more
#35 GPT-6 Astra
OpenAI
 $2.800000 ↑ 5233.3% more
🏆

GPT-5.6 Luna
OpenAI

$0.014050 (rounded ~ $0.01)
vs Gemini 3.8 Flash: ↓ 73.2%
🥈

Gemini 3.1 Flash Lite
Google

$0.017563 (rounded ~ $0.02)
vs Gemini 3.8 Flash: ↓ 66.5%
🥉

Gemini 3.5 Flash-Lite
Google

$0.021250 (rounded ~ $0.02)
vs Gemini 3.8 Flash: ↓ 59.5%
#4

Gemini 2.5 Flash
Google

$0.021250 (rounded ~ $0.02)
vs Gemini 3.8 Flash: ↓ 59.5%
#5

GPT-6 Luna
OpenAI

$0.027875 (rounded ~ $0.03)
vs Gemini 3.8 Flash: ↓ 46.9%
#6

Gemini 3.6 Flash
Google

$0.052500 (rounded ~ $0.05)
vs Gemini 3.8 Flash: Same
#7

Claude Haiku 5.5
Anthropic

$0.070000
vs Gemini 3.8 Flash: ↑ 33.3%
#8

Mistral Large 4
Mistral AI

$0.094545 (rounded ~ $0.09)
vs Gemini 3.8 Flash: ↑ 80.1%
#9

Claude Sonnet 5.5
Anthropic

$0.133750 (rounded ~ $0.13)
vs Gemini 3.8 Flash: ↑ 154.8%
#10

Claude Sonnet 5
Anthropic

$0.140000
vs Gemini 3.8 Flash: ↑ 166.7%
#11

Gemini 4 Argon
Google

$0.140000
vs Gemini 3.8 Flash: ↑ 166.7%
#12

Gemini 3.1 Flash
Google

$0.140500
vs Gemini 3.8 Flash: ↑ 167.6%
#13

GPT-5.6 Terra
OpenAI

$0.140500
vs Gemini 3.8 Flash: ↑ 167.6%
#14

Claude Sonnet 4.6
Anthropic

$0.210000
vs Gemini 3.8 Flash: ↑ 300%
#15

Claude Opus 5.5
Anthropic

$0.267500 (rounded ~ $0.27)
vs Gemini 3.8 Flash: ↑ 409.5%
#16

GPT-5.6 Sol
OpenAI

$0.280000
vs Gemini 3.8 Flash: ↑ 433.3%
#17

Claude Opus 4.7
Anthropic

$0.350000
vs Gemini 3.8 Flash: ↑ 566.7%
#18

Claude Opus 5
Anthropic

$0.350000
vs Gemini 3.8 Flash: ↑ 566.7%
#19

Claude Opus 4.8
Anthropic

$0.350000
vs Gemini 3.8 Flash: ↑ 566.7%
#20

Claude Opus 4.6
Anthropic

$0.350000
vs Gemini 3.8 Flash: ↑ 566.7%
#21

Gemini 2.5 Pro
Google

$0.351250 (rounded ~ $0.35)
vs Gemini 3.8 Flash: ↑ 569%
#22

Grok 4.3
xAI

$0.554000 (rounded ~ $0.55)
vs Gemini 3.8 Flash: ↑ 955.2%
#23

Grok 4.20 Beta
xAI

$0.554000 (rounded ~ $0.55)
vs Gemini 3.8 Flash: ↑ 955.2%
#24

GPT-6.1 Sol
OpenAI

$0.557500 (rounded ~ $0.56)
vs Gemini 3.8 Flash: ↑ 961.9%
#25

GPT-6 Sol
OpenAI

$0.557500 (rounded ~ $0.56)
vs Gemini 3.8 Flash: ↑ 961.9%
#26

Gemini 3.1 Pro
Google

$0.559000 (rounded ~ $0.56)
vs Gemini 3.8 Flash: ↑ 964.8%
#27

Claude Fable 5.1
Anthropic

$0.653125 (rounded ~ $0.65)
vs Gemini 3.8 Flash: ↑ 1144%
#28

Claude Mythos 5.1
Anthropic

$0.653125 (rounded ~ $0.65)
vs Gemini 3.8 Flash: ↑ 1144%
#29

GPT-5.4
OpenAI

$0.698750 (rounded ~ $0.70)
vs Gemini 3.8 Flash: ↑ 1231%
#30

GPT-5.4 Thinking
OpenAI

$0.698750 (rounded ~ $0.70)
vs Gemini 3.8 Flash: ↑ 1231%
#31

Claude Fable 5
Anthropic

$0.700000
vs Gemini 3.8 Flash: ↑ 1233.3%
#32

Claude Mythos 5
Anthropic

$0.700000
vs Gemini 3.8 Flash: ↑ 1233.3%
#33

GPT-5.5
OpenAI

$1.397500 (rounded ~ $1.40)
vs Gemini 3.8 Flash: ↑ 2561.9%
#34

GPT-6 Astra
OpenAI

$2.800000
vs Gemini 3.8 Flash: ↑ 5233.3%
#35

GPT-6 Astra
OpenAI

$2.800000
vs Gemini 3.8 Flash: ↑ 5233.3%
✨ 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.

In the legal and compliance sector, the ability to rapidly ingest and summarize massive volumes of documentation is a critical operational advantage. Gemini 3.8 Flash has emerged as a specialized powerhouse for these high-throughput, document-heavy workflows. Its architecture is optimized for speed and sustained reasoning across long-horizon tasks, making it particularly effective for parsing complex regulatory PDFs, contract clauses, and discovery sets where processing latency can directly impact turnaround times.

For UX researchers and legal teams alike, the challenge is often balancing the depth of analysis required with the sheer volume of documents to be reviewed. Gemini 3.8 Flash addresses this by maintaining a strong performance bar on document-based reasoning while operating at a speed that supports real-time, iterative workflows. Unlike models that might struggle with the context length or compute overhead of 500K-token inputs, this model is designed to handle such large-scale ingestion with agility. It allows for the extraction of specific compliance insights, policy deviations, or risk indicators from vast archives, enabling teams to scale their research operations without the bottlenecks associated with slower, more resource-intensive systems. Its effectiveness in structured, multi-step environments makes it a reliable default for teams needing to turn complex, high-volume document sets into actionable intelligence efficiently. When your research or compliance pipeline depends on consistent, fast, and high-accuracy summarization across large document batches, this model provides the necessary performance edge.

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 3.8 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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