Gemini 3.8 Flash Cost for Finance at 200K Context

Complete Analysis: 201,000 tokens for Gemini 3.8 Flash
⚡ 70% Cached

Complete analysis of pricing, performance, and use cases for Google's Gemini 3.8 Flash model with 70% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
$0.014813 (rounded ~ $0.01) Total Cost
201,000 Total Tokens
10 minutes, 20.92 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
70%
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

$0.014813 Total Cost
$0.011250 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
201,000Total Tokens
$0.000074Cost per 1K
13,569,620Tokens per $

📊 Advanced Cost Breakdown

Processing Speed

10m 20s 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

$0.014813 (rounded ~ $0.01)
Total Cost
⚡ 70% 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 $0.014813 (rounded ~ $0.01) Input: $0.037500 (rounded ~ $0.04)
Output: $0.000938
Unit: $0.000000
Fees: $0.000000
Total Savings $0.023625 (rounded ~ $0.02) 61.5% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 200,000 input tokens and 1,000 output tokens:

  • Input Cost: $0.037500 (rounded ~ $0.04)
  • Output Cost: $0.000938
  • Total Cost: $0.014813 (rounded ~ $0.01)
  • Cost per 1K tokens: $0.000074
  • Tokens per dollar: 13,569,620 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: 10 minutes, 20.92 seconds
  • Latency: 105 milliseconds to first token
  • Base Throughput: 340 tokens/second
  • Effective Throughput: 324 tokens/second (temperature-adjusted)

Best Use Cases

High-throughput financial document processing where latency and scale are critical.

Want this applied to YOUR actual stack?

This calculator shows the math for Gemini 3.8 Flash. Your decision needs more — current infrastructure, compliance requirements, actual workload patterns, volume tiers — that change which model is right for you.

Get a $39 personalized AI Architecture Audit. PDF tailored to your stack, delivered in under 60 seconds. 7-day no-questions-asked refund.

Get my instant AI audit — $39 →

✨ Market Recommendations AI Model Registry

← Back to Gemini 3.8 Flash
📋 Active Input Parameters
Input Tokens: 200,000
Output Tokens: 1,000
Batch API: Enabled (50% discount)
Cached Tokens: 70%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Gemini 3.8 Flash
🏆 GPT-6 Luna
OpenAI
 $0.003950 Best Value ↓ 73.3% cheaper
🥈 GPT-5.6 Luna
OpenAI
 $0.004000 ↓ 73% cheaper
🥉 Gemini 3.1 Flash Lite
Google
 $0.005000 (rounded ~ $0.01) ↓ 66.2% cheaper
#4 Gemini 3.5 Flash-Lite
Google
 $0.006175 (rounded ~ $0.01) ↓ 58.3% cheaper
#5 Gemini 2.5 Flash
Google
 $0.006175 (rounded ~ $0.01) ↓ 58.3% cheaper
#6 Mistral Large 3
Mistral AI
 $0.009625 ↓ 35% cheaper
#7 Gemini 3.6 Flash
Google
 $0.014813 (rounded ~ $0.01) Same price
#8 GPT-5.4 mini
OpenAI
 $0.015000 (rounded ~ $0.02) ↑ 1.3% more
#9 Claude Haiku 5.5
Anthropic
 $0.019750 ↑ 33.3% more
#10 Claude Haiku 4.5
Anthropic
 $0.019750 ↑ 33.3% more
#11 Gemini 3.1 Flash
Google
 $0.020000 ↑ 35% more
#12 Mistral Large 4
Mistral AI
 $0.026205 (rounded ~ $0.03) ↑ 76.9% more
#13 Claude Sonnet 5.5
Anthropic
 $0.036000 (rounded ~ $0.04) ↑ 143% more
#14 Claude Sonnet 5
Anthropic
 $0.039500 ↑ 166.7% more
#15 Gemini 4 Argon
Google
 $0.039500 ↑ 166.7% more
#16 GPT-5.6 Terra
OpenAI
 $0.040000 ↑ 170% more
#17 Gemini 2.5 Pro
Google
 $0.051250 (rounded ~ $0.05) ↑ 246% more
#18 Claude Sonnet 4.6
Anthropic
 $0.059250 ↑ 300% more
#19 Claude Opus 5.5
Anthropic
 $0.072000 (rounded ~ $0.07) ↑ 386.1% more
#20 Grok 4.3
xAI
 $0.076000 (rounded ~ $0.08) ↑ 413.1% more
#21 Grok 4.20 Beta
xAI
 $0.076000 (rounded ~ $0.08) ↑ 413.1% more
#22 GPT-6.1 Sol
OpenAI
 $0.079000 ↑ 433.3% more
#23 GPT-6 Sol
OpenAI
 $0.079000 ↑ 433.3% more
#24 GPT-5.6 Sol
OpenAI
 $0.079000 ↑ 433.3% more
#25 Gemini 3.1 Pro
Google
 $0.080000 ↑ 440.1% more
#26 Claude Opus 4.7
Anthropic
 $0.098750 (rounded ~ $0.10) ↑ 566.7% more
#27 Claude Opus 5
Anthropic
 $0.098750 (rounded ~ $0.10) ↑ 566.7% more
#28 Claude Opus 4.8
Anthropic
 $0.098750 (rounded ~ $0.10) ↑ 566.7% more
#29 Claude Opus 4.6
Anthropic
 $0.098750 (rounded ~ $0.10) ↑ 566.7% more
#30 GPT-5.4
OpenAI
 $0.100000 ↑ 575.1% more
#31 GPT-5.4 Thinking
OpenAI
 $0.100000 ↑ 575.1% more
#32 GPT-5.5 Instant
OpenAI
 $0.100000 ↑ 575.1% more
#33 Claude Fable 5.1
Anthropic
 $0.171250 (rounded ~ $0.17) ↑ 1056.1% more
#34 Claude Mythos 5.1
Anthropic
 $0.171250 (rounded ~ $0.17) ↑ 1056.1% more
#35 Claude Fable 5
Anthropic
 $0.197500 (rounded ~ $0.20) ↑ 1233.3% more
#36 Claude Mythos 5
Anthropic
 $0.197500 (rounded ~ $0.20) ↑ 1233.3% more
#37 GPT-5.5
OpenAI
 $0.200000 ↑ 1250.2% more
#38 GPT-6 Astra
OpenAI
 $0.395000 (rounded ~ $0.40) ↑ 2566.7% more
#39 GPT-6 Astra
OpenAI
 $0.395000 (rounded ~ $0.40) ↑ 2566.7% more
🏆

GPT-6 Luna
OpenAI

$0.003950
vs Gemini 3.8 Flash: ↓ 73.3%
🥈

GPT-5.6 Luna
OpenAI

$0.004000
vs Gemini 3.8 Flash: ↓ 73%
🥉

Gemini 3.1 Flash Lite
Google

$0.005000 (rounded ~ $0.01)
vs Gemini 3.8 Flash: ↓ 66.2%
#4

Gemini 3.5 Flash-Lite
Google

$0.006175 (rounded ~ $0.01)
vs Gemini 3.8 Flash: ↓ 58.3%
#5

Gemini 2.5 Flash
Google

$0.006175 (rounded ~ $0.01)
vs Gemini 3.8 Flash: ↓ 58.3%
#6

Mistral Large 3
Mistral AI

$0.009625
vs Gemini 3.8 Flash: ↓ 35%
#7

Gemini 3.6 Flash
Google

$0.014813 (rounded ~ $0.01)
vs Gemini 3.8 Flash: Same
#8

GPT-5.4 mini
OpenAI

$0.015000 (rounded ~ $0.02)
vs Gemini 3.8 Flash: ↑ 1.3%
#9

Claude Haiku 5.5
Anthropic

$0.019750
vs Gemini 3.8 Flash: ↑ 33.3%
#10

Claude Haiku 4.5
Anthropic

$0.019750
vs Gemini 3.8 Flash: ↑ 33.3%
#11

Gemini 3.1 Flash
Google

$0.020000
vs Gemini 3.8 Flash: ↑ 35%
#12

Mistral Large 4
Mistral AI

$0.026205 (rounded ~ $0.03)
vs Gemini 3.8 Flash: ↑ 76.9%
#13

Claude Sonnet 5.5
Anthropic

$0.036000 (rounded ~ $0.04)
vs Gemini 3.8 Flash: ↑ 143%
#14

Claude Sonnet 5
Anthropic

$0.039500
vs Gemini 3.8 Flash: ↑ 166.7%
#15

Gemini 4 Argon
Google

$0.039500
vs Gemini 3.8 Flash: ↑ 166.7%
#16

GPT-5.6 Terra
OpenAI

$0.040000
vs Gemini 3.8 Flash: ↑ 170%
#17

Gemini 2.5 Pro
Google

$0.051250 (rounded ~ $0.05)
vs Gemini 3.8 Flash: ↑ 246%
#18

Claude Sonnet 4.6
Anthropic

$0.059250
vs Gemini 3.8 Flash: ↑ 300%
#19

Claude Opus 5.5
Anthropic

$0.072000 (rounded ~ $0.07)
vs Gemini 3.8 Flash: ↑ 386.1%
#20

Grok 4.3
xAI

$0.076000 (rounded ~ $0.08)
vs Gemini 3.8 Flash: ↑ 413.1%
#21

Grok 4.20 Beta
xAI

$0.076000 (rounded ~ $0.08)
vs Gemini 3.8 Flash: ↑ 413.1%
#22

GPT-6.1 Sol
OpenAI

$0.079000
vs Gemini 3.8 Flash: ↑ 433.3%
#23

GPT-6 Sol
OpenAI

$0.079000
vs Gemini 3.8 Flash: ↑ 433.3%
#24

GPT-5.6 Sol
OpenAI

$0.079000
vs Gemini 3.8 Flash: ↑ 433.3%
#25

Gemini 3.1 Pro
Google

$0.080000
vs Gemini 3.8 Flash: ↑ 440.1%
#26

Claude Opus 4.7
Anthropic

$0.098750 (rounded ~ $0.10)
vs Gemini 3.8 Flash: ↑ 566.7%
#27

Claude Opus 5
Anthropic

$0.098750 (rounded ~ $0.10)
vs Gemini 3.8 Flash: ↑ 566.7%
#28

Claude Opus 4.8
Anthropic

$0.098750 (rounded ~ $0.10)
vs Gemini 3.8 Flash: ↑ 566.7%
#29

Claude Opus 4.6
Anthropic

$0.098750 (rounded ~ $0.10)
vs Gemini 3.8 Flash: ↑ 566.7%
#30

GPT-5.4
OpenAI

$0.100000
vs Gemini 3.8 Flash: ↑ 575.1%
#31

GPT-5.4 Thinking
OpenAI

$0.100000
vs Gemini 3.8 Flash: ↑ 575.1%
#32

GPT-5.5 Instant
OpenAI

$0.100000
vs Gemini 3.8 Flash: ↑ 575.1%
#33

Claude Fable 5.1
Anthropic

$0.171250 (rounded ~ $0.17)
vs Gemini 3.8 Flash: ↑ 1056.1%
#34

Claude Mythos 5.1
Anthropic

$0.171250 (rounded ~ $0.17)
vs Gemini 3.8 Flash: ↑ 1056.1%
#35

Claude Fable 5
Anthropic

$0.197500 (rounded ~ $0.20)
vs Gemini 3.8 Flash: ↑ 1233.3%
#36

Claude Mythos 5
Anthropic

$0.197500 (rounded ~ $0.20)
vs Gemini 3.8 Flash: ↑ 1233.3%
#37

GPT-5.5
OpenAI

$0.200000
vs Gemini 3.8 Flash: ↑ 1250.2%
#38

GPT-6 Astra
OpenAI

$0.395000 (rounded ~ $0.40)
vs Gemini 3.8 Flash: ↑ 2566.7%
#39

GPT-6 Astra
OpenAI

$0.395000 (rounded ~ $0.40)
vs Gemini 3.8 Flash: ↑ 2566.7%
✨ 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.

Financial statement extraction at scale demands high throughput and strict adherence to formatting instructions. In high-volume environments, where you might be processing thousands of pages daily, the efficiency of your AI backbone directly impacts your operational budget and system performance. Gemini 3.8 Flash is particularly well-suited for these data-heavy, extraction-focused tasks due to its massive context window and optimized latency.

When dealing with 200K-token documents or batch collections, the model’s ability to maintain focus without losing key financial figures or structural details is essential. Unlike smaller models that might struggle with the sheer density of a comprehensive financial report, Gemini 3.8 Flash offers a balance of speed and accuracy. This makes it an ideal choice for the “worker” role in an orchestration pattern, where the orchestrator identifies the relevant document segments and hands them off for structured extraction.

Beyond raw performance, the integration of vision and structured output capabilities ensures that scanned PDFs or images of balance sheets are parsed with high fidelity. For enterprise teams building RAG pipelines or audit automation tools, the reliability of this model in high-load scenarios allows for tighter SLA management. It integrates seamlessly into existing document processing pipelines, providing a scalable path from proof-of-concept to full production deployment. By leveraging its low-latency characteristics, your pipeline can achieve the real-time responsiveness required for automated credit checks and underwriting narratives.

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.

Compare across providers

Other models from the same provider

See every tracked AI pricing change →