Gemini 3.8 Flash Cost for Legal Discovery at 15,000-Token RAG Queries

Complete Analysis: 15,750 tokens for Gemini 3.8 Flash
⚡ 60% Cached

Complete analysis of pricing, performance, and use cases for Google's Gemini 3.8 Flash model with 60% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
$0.001997 Total Cost
15,750 Total Tokens
47.43 seconds Processing Time
333 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
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

$0.001997 Total Cost
$0.001125 Input Cost
$0.000703 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
15,750Total Tokens
$0.000127Cost per 1K
7,887,324Tokens per $

📊 Advanced Cost Breakdown

Processing Speed

47.43s Processing Time
340 Tokens/Second
105ms Time to First Token
333 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

$0.001997
Total Cost
⚡ 60% 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) $0.003516 Input: $0.002813
Output: $0.000703
Optimized Cost $0.001997 Input: $0.002813
Output: $0.000703
Unit: $0.000000
Fees: $0.000000
Total Savings $0.001519 43.2% 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 750 output tokens:

  • Input Cost: $0.002813
  • Output Cost: $0.000703
  • Total Cost: $0.001997
  • Cost per 1K tokens: $0.000127
  • Tokens per dollar: 7,887,324 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: 47.43 seconds
  • Latency: 105 milliseconds to first token
  • Base Throughput: 340 tokens/second
  • Effective Throughput: 333 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for high-throughput legal discoverycontract review pipelinesand document-heavy RAG applications requiring low latency.

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✨ Market Recommendations AI Model Registry

← Back to Gemini 3.8 Flash
📋 Active Input Parameters
Input Tokens: 15,000
Output Tokens: 750
Batch API: Enabled (50% discount)
Cached Tokens: 60%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Gemini 3.8 Flash
🏆 Claude Haiku 5.5
Anthropic
 $0.000533 Best Value ↓ 73.3% cheaper
🥈 GPT-6 Luna
OpenAI
 $0.000533 ↓ 73.3% cheaper
🥉 GPT-5.6 Luna
OpenAI
 $0.000570 ↓ 71.5% cheaper
#4 Gemini 3.1 Flash Lite
Google
 $0.000713 ↓ 64.3% cheaper
#5 Gemini 3.5 Flash-Lite
Google
 $0.000986 ↓ 50.6% cheaper
#6 Gemini 2.5 Flash
Google
 $0.000986 ↓ 50.6% cheaper
#7 Mistral Large 3
Mistral AI
 $0.001144 ↓ 42.7% cheaper
#8 Gemini 3.6 Flash
Google
 $0.001997 Same price
#9 GPT-5.4 mini
OpenAI
 $0.002138 ↑ 7% more
#10 Claude Haiku 4.5
Anthropic
 $0.002663 ↑ 33.3% more
#11 Gemini 3.1 Flash
Google
 $0.002850 ↑ 42.7% more
#12 Mistral Large 4
Mistral AI
 $0.003130 ↑ 56.7% more
#13 Claude Sonnet 5.5
Anthropic
 $0.005100 (rounded ~ $0.01) ↑ 155.4% more
#14 Claude Sonnet 5
Anthropic
 $0.005325 (rounded ~ $0.01) ↑ 166.7% more
#15 Gemini 4 Argon
Google
 $0.005325 (rounded ~ $0.01) ↑ 166.7% more
#16 GPT-5.3 Codex Spark
OpenAI
 $0.005644 (rounded ~ $0.01) ↑ 182.6% more
#17 GPT-5.3 Instant
OpenAI
 $0.005644 (rounded ~ $0.01) ↑ 182.6% more
#18 GPT-5.6 Terra
OpenAI
 $0.005700 (rounded ~ $0.01) ↑ 185.4% more
#19 Claude Sonnet 4.6
Anthropic
 $0.007988 (rounded ~ $0.01) ↑ 300% more
#20 Gemini 2.5 Pro
Google
 $0.008063 (rounded ~ $0.01) ↑ 303.8% more
#21 Grok 4.3
xAI
 $0.008400 (rounded ~ $0.01) ↑ 320.7% more
#22 Grok 4.20 Beta
xAI
 $0.008400 (rounded ~ $0.01) ↑ 320.7% more
#23 Claude Opus 5.5
Anthropic
 $0.010200 ↑ 410.8% more
#24 GPT-6.1 Sol
OpenAI
 $0.010650 ↑ 433.3% more
#25 GPT-6 Sol
OpenAI
 $0.010650 ↑ 433.3% more
#26 GPT-5.6 Sol
OpenAI
 $0.010650 ↑ 433.3% more
#27 Gemini 3.1 Pro
Google
 $0.011400 (rounded ~ $0.01) ↑ 470.9% more
#28 Claude Opus 4.7
Anthropic
 $0.013313 (rounded ~ $0.01) ↑ 566.7% more
#29 Claude Opus 5
Anthropic
 $0.013313 (rounded ~ $0.01) ↑ 566.7% more
#30 Claude Opus 4.8
Anthropic
 $0.013313 (rounded ~ $0.01) ↑ 566.7% more
#31 Claude Opus 4.6
Anthropic
 $0.013313 (rounded ~ $0.01) ↑ 566.7% more
#32 GPT-5.4
OpenAI
 $0.014250 (rounded ~ $0.01) ↑ 613.6% more
#33 GPT-5.4 Thinking
OpenAI
 $0.014250 (rounded ~ $0.01) ↑ 613.6% more
#34 GPT-5.5 Instant
OpenAI
 $0.014250 (rounded ~ $0.01) ↑ 613.6% more
#35 Claude Fable 5.1
Anthropic
 $0.024938 (rounded ~ $0.02) ↑ 1148.8% more
#36 Claude Mythos 5.1
Anthropic
 $0.024938 (rounded ~ $0.02) ↑ 1148.8% more
#37 Claude Fable 5
Anthropic
 $0.026625 (rounded ~ $0.03) ↑ 1233.3% more
#38 Claude Mythos 5
Anthropic
 $0.026625 (rounded ~ $0.03) ↑ 1233.3% more
#39 GPT-5.5
OpenAI
 $0.028500 (rounded ~ $0.03) ↑ 1327.2% more
#40 GPT-6 Astra
OpenAI
 $0.053250 (rounded ~ $0.05) ↑ 2566.7% more
#41 GPT-5.2 Pro
OpenAI
 $0.067725 (rounded ~ $0.07) ↑ 3291.5% more
#42 GPT-5.2 Pro
OpenAI
 $0.067725 (rounded ~ $0.07) ↑ 3291.5% more
🏆

Claude Haiku 5.5
Anthropic

$0.000533
vs Gemini 3.8 Flash: ↓ 73.3%
🥈

GPT-6 Luna
OpenAI

$0.000533
vs Gemini 3.8 Flash: ↓ 73.3%
🥉

GPT-5.6 Luna
OpenAI

$0.000570
vs Gemini 3.8 Flash: ↓ 71.5%
#4

Gemini 3.1 Flash Lite
Google

$0.000713
vs Gemini 3.8 Flash: ↓ 64.3%
#5

Gemini 3.5 Flash-Lite
Google

$0.000986
vs Gemini 3.8 Flash: ↓ 50.6%
#6

Gemini 2.5 Flash
Google

$0.000986
vs Gemini 3.8 Flash: ↓ 50.6%
#7

Mistral Large 3
Mistral AI

$0.001144
vs Gemini 3.8 Flash: ↓ 42.7%
#8

Gemini 3.6 Flash
Google

$0.001997
vs Gemini 3.8 Flash: Same
#9

GPT-5.4 mini
OpenAI

$0.002138
vs Gemini 3.8 Flash: ↑ 7%
#10

Claude Haiku 4.5
Anthropic

$0.002663
vs Gemini 3.8 Flash: ↑ 33.3%
#11

Gemini 3.1 Flash
Google

$0.002850
vs Gemini 3.8 Flash: ↑ 42.7%
#12

Mistral Large 4
Mistral AI

$0.003130
vs Gemini 3.8 Flash: ↑ 56.7%
#13

Claude Sonnet 5.5
Anthropic

$0.005100 (rounded ~ $0.01)
vs Gemini 3.8 Flash: ↑ 155.4%
#14

Claude Sonnet 5
Anthropic

$0.005325 (rounded ~ $0.01)
vs Gemini 3.8 Flash: ↑ 166.7%
#15

Gemini 4 Argon
Google

$0.005325 (rounded ~ $0.01)
vs Gemini 3.8 Flash: ↑ 166.7%
#16

GPT-5.3 Codex Spark
OpenAI

$0.005644 (rounded ~ $0.01)
vs Gemini 3.8 Flash: ↑ 182.6%
#17

GPT-5.3 Instant
OpenAI

$0.005644 (rounded ~ $0.01)
vs Gemini 3.8 Flash: ↑ 182.6%
#18

GPT-5.6 Terra
OpenAI

$0.005700 (rounded ~ $0.01)
vs Gemini 3.8 Flash: ↑ 185.4%
#19

Claude Sonnet 4.6
Anthropic

$0.007988 (rounded ~ $0.01)
vs Gemini 3.8 Flash: ↑ 300%
#20

Gemini 2.5 Pro
Google

$0.008063 (rounded ~ $0.01)
vs Gemini 3.8 Flash: ↑ 303.8%
#21

Grok 4.3
xAI

$0.008400 (rounded ~ $0.01)
vs Gemini 3.8 Flash: ↑ 320.7%
#22

Grok 4.20 Beta
xAI

$0.008400 (rounded ~ $0.01)
vs Gemini 3.8 Flash: ↑ 320.7%
#23

Claude Opus 5.5
Anthropic

$0.010200
vs Gemini 3.8 Flash: ↑ 410.8%
#24

GPT-6.1 Sol
OpenAI

$0.010650
vs Gemini 3.8 Flash: ↑ 433.3%
#25

GPT-6 Sol
OpenAI

$0.010650
vs Gemini 3.8 Flash: ↑ 433.3%
#26

GPT-5.6 Sol
OpenAI

$0.010650
vs Gemini 3.8 Flash: ↑ 433.3%
#27

Gemini 3.1 Pro
Google

$0.011400 (rounded ~ $0.01)
vs Gemini 3.8 Flash: ↑ 470.9%
#28

Claude Opus 4.7
Anthropic

$0.013313 (rounded ~ $0.01)
vs Gemini 3.8 Flash: ↑ 566.7%
#29

Claude Opus 5
Anthropic

$0.013313 (rounded ~ $0.01)
vs Gemini 3.8 Flash: ↑ 566.7%
#30

Claude Opus 4.8
Anthropic

$0.013313 (rounded ~ $0.01)
vs Gemini 3.8 Flash: ↑ 566.7%
#31

Claude Opus 4.6
Anthropic

$0.013313 (rounded ~ $0.01)
vs Gemini 3.8 Flash: ↑ 566.7%
#32

GPT-5.4
OpenAI

$0.014250 (rounded ~ $0.01)
vs Gemini 3.8 Flash: ↑ 613.6%
#33

GPT-5.4 Thinking
OpenAI

$0.014250 (rounded ~ $0.01)
vs Gemini 3.8 Flash: ↑ 613.6%
#34

GPT-5.5 Instant
OpenAI

$0.014250 (rounded ~ $0.01)
vs Gemini 3.8 Flash: ↑ 613.6%
#35

Claude Fable 5.1
Anthropic

$0.024938 (rounded ~ $0.02)
vs Gemini 3.8 Flash: ↑ 1148.8%
#36

Claude Mythos 5.1
Anthropic

$0.024938 (rounded ~ $0.02)
vs Gemini 3.8 Flash: ↑ 1148.8%
#37

Claude Fable 5
Anthropic

$0.026625 (rounded ~ $0.03)
vs Gemini 3.8 Flash: ↑ 1233.3%
#38

Claude Mythos 5
Anthropic

$0.026625 (rounded ~ $0.03)
vs Gemini 3.8 Flash: ↑ 1233.3%
#39

GPT-5.5
OpenAI

$0.028500 (rounded ~ $0.03)
vs Gemini 3.8 Flash: ↑ 1327.2%
#40

GPT-6 Astra
OpenAI

$0.053250 (rounded ~ $0.05)
vs Gemini 3.8 Flash: ↑ 2566.7%
#41

GPT-5.2 Pro
OpenAI

$0.067725 (rounded ~ $0.07)
vs Gemini 3.8 Flash: ↑ 3291.5%
#42

GPT-5.2 Pro
OpenAI

$0.067725 (rounded ~ $0.07)
vs Gemini 3.8 Flash: ↑ 3291.5%
✨ 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.

Scaling Legal Discovery with Gemini 3.8 Flash

Legal discovery and due diligence require parsing massive volumes of unstructured data to identify relevant case law, clauses, or potential liabilities. For enterprise teams running Retrieval-Augmented Generation (RAG) pipelines, the challenge lies in maintaining high-speed throughput without sacrificing the nuance required for legal review. Gemini 3.8 Flash offers a compelling balance of speed and reasoning capacity, making it a strong candidate for high-frequency legal research tools.

When processing 15,000-token queries, the efficiency of the model becomes the primary lever for controlling infrastructure spend. Unlike larger, more compute-heavy models, Gemini 3.8 Flash is designed to handle high-volume, repetitive tasks—such as summarizing thousands of contracts or flagging compliance risks in real-time—with significantly lower latency. This responsiveness is critical in production environments where attorneys or compliance officers are waiting on live feedback during active document review sessions.

Beyond raw speed, the model’s ability to maintain coherent context over long RAG-based conversations allows for deeper iterative questioning. In legal workflows, being able to follow up on a specific clause without re-indexing the entire dataset provides a competitive edge in productivity. While specialized reasoning models might offer marginal improvements in complex logic, the operational overhead of those models often creates bottlenecks in large-scale pipelines. For enterprise architects, choosing a model like Gemini 3.8 Flash for these 15,000-token workflows provides the necessary throughput to handle massive document repositories while remaining performant under heavy, concurrent load.

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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