Gemini 3.8 Flash Pricing: Cost for 500K-Token Product Copy

Complete Analysis: 500,800 tokens for Gemini 3.8 Flash
⚡ 20% Cached

Complete analysis of pricing, performance, and use cases for Google's Gemini 3.8 Flash model with 20% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
$0.077625 (rounded ~ $0.08) Total Cost
500,800 Total Tokens
26 minutes, 16.23 seconds Processing Time
318 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
20%
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

$0.077625 Total Cost
$0.075000 Input Cost
$0.000750 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
500,800Total Tokens
$0.000155Cost per 1K
6,451,530Tokens per $

📊 Advanced Cost Breakdown

Processing Speed

26m 16s Processing Time
340 Tokens/Second
105ms Time to First Token
318 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

$0.077625 (rounded ~ $0.08)
Total Cost
⚡ 20% Cached 📊 Batch API
👁️
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) $0.094500 (rounded ~ $0.09) Input: $0.093750 (rounded ~ $0.09)
Output: $0.000750
Optimized Cost $0.077625 (rounded ~ $0.08) Input: $0.093750 (rounded ~ $0.09)
Output: $0.000750
Unit: $0.000000
Fees: $0.000000
Total Savings $0.016875 (rounded ~ $0.02) 17.9% 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 800 output tokens:

  • Input Cost: $0.093750 (rounded ~ $0.09)
  • Output Cost: $0.000750
  • Total Cost: $0.077625 (rounded ~ $0.08)
  • Cost per 1K tokens: $0.000155
  • Tokens per dollar: 6,451,530 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: 26 minutes, 16.23 seconds
  • Latency: 105 milliseconds to first token
  • Base Throughput: 340 tokens/second
  • Effective Throughput: 318 tokens/second (temperature-adjusted)

Best Use Cases

High-volume product description generation where speednative multimodal supportand low latency are the primary requirements.

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✨ Market Recommendations AI Model Registry

← Back to Gemini 3.8 Flash
📋 Active Input Parameters
Input Tokens: 500,000
Output Tokens: 800
Batch API: Enabled (50% discount)
Cached Tokens: 20%
Rank AI Model & Provider Total Cost vs Gemini 3.8 Flash
🏆 GPT-5.6 Luna
OpenAI
 $0.020740 Best Value ↓ 73.3% cheaper
🥈 Gemini 3.1 Flash Lite
Google
 $0.025925 (rounded ~ $0.03) ↓ 66.6% cheaper
🥉 Nemotron 3 Super
NVIDIA
 $0.030914 ↓ 60.2% cheaper
#4 Gemini 3.5 Flash-Lite
Google
 $0.031250 (rounded ~ $0.03) ↓ 59.7% cheaper
#5 Gemini 2.5 Flash
Google
 $0.031250 (rounded ~ $0.03) ↓ 59.7% cheaper
#6 GPT-6 Luna
OpenAI
 $0.041300 (rounded ~ $0.04) ↓ 46.8% cheaper
#7 Gemini 3.6 Flash
Google
 $0.077625 (rounded ~ $0.08) Same price
#8 Claude Haiku 5.5
Anthropic
 $0.103500 (rounded ~ $0.10) ↑ 33.3% more
#9 Mistral Large 4
Mistral AI
 $0.140236 ↑ 80.7% more
#10 Claude Sonnet 5.5
Anthropic
 $0.204500 (rounded ~ $0.20) ↑ 163.4% more
#11 Claude Sonnet 5
Anthropic
 $0.207000 (rounded ~ $0.21) ↑ 166.7% more
#12 Gemini 4 Argon
Google
 $0.207000 (rounded ~ $0.21) ↑ 166.7% more
#13 Gemini 3.1 Flash
Google
 $0.207400 (rounded ~ $0.21) ↑ 167.2% more
#14 GPT-5.6 Terra
OpenAI
 $0.207400 (rounded ~ $0.21) ↑ 167.2% more
#15 Claude Sonnet 4.6
Anthropic
 $0.310500 ↑ 300% more
#16 Claude Opus 5.5
Anthropic
 $0.409000 ↑ 426.9% more
#17 GPT-5.6 Sol
OpenAI
 $0.414000 (rounded ~ $0.41) ↑ 433.3% more
#18 Claude Opus 4.7
Anthropic
 $0.517500 (rounded ~ $0.52) ↑ 566.7% more
#19 Claude Opus 5
Anthropic
 $0.517500 (rounded ~ $0.52) ↑ 566.7% more
#20 Claude Opus 4.8
Anthropic
 $0.517500 (rounded ~ $0.52) ↑ 566.7% more
#21 Claude Opus 4.6
Anthropic
 $0.517500 (rounded ~ $0.52) ↑ 566.7% more
#22 Gemini 2.5 Pro
Google
 $0.518500 (rounded ~ $0.52) ↑ 568% more
#23 Grok 4.3
xAI
 $0.823200 (rounded ~ $0.82) ↑ 960.5% more
#24 Grok 4.20 Beta
xAI
 $0.823200 (rounded ~ $0.82) ↑ 960.5% more
#25 GPT-6.1 Sol
OpenAI
 $0.826000 (rounded ~ $0.83) ↑ 964.1% more
#26 GPT-6 Sol
OpenAI
 $0.826000 (rounded ~ $0.83) ↑ 964.1% more
#27 Gemini 3.1 Pro
Google
 $0.827200 (rounded ~ $0.83) ↑ 965.6% more
#28 Claude Fable 5.1
Anthropic
 $1.016250 (rounded ~ $1.02) ↑ 1209.2% more
#29 Claude Mythos 5.1
Anthropic
 $1.016250 (rounded ~ $1.02) ↑ 1209.2% more
#30 GPT-5.4
OpenAI
 $1.034000 (rounded ~ $1.03) ↑ 1232% more
#31 GPT-5.4 Thinking
OpenAI
 $1.034000 (rounded ~ $1.03) ↑ 1232% more
#32 Claude Fable 5
Anthropic
 $1.035000 (rounded ~ $1.04) ↑ 1233.3% more
#33 Claude Mythos 5
Anthropic
 $1.035000 (rounded ~ $1.04) ↑ 1233.3% more
#34 GPT-5.5
OpenAI
 $2.068000 (rounded ~ $2.07) ↑ 2564.1% more
#35 GPT-6 Astra
OpenAI
 $4.140000 ↑ 5233.3% more
#36 GPT-6 Astra
OpenAI
 $4.140000 ↑ 5233.3% more
🏆

GPT-5.6 Luna
OpenAI

$0.020740
vs Gemini 3.8 Flash: ↓ 73.3%
🥈

Gemini 3.1 Flash Lite
Google

$0.025925 (rounded ~ $0.03)
vs Gemini 3.8 Flash: ↓ 66.6%
🥉

Nemotron 3 Super
NVIDIA

$0.030914
vs Gemini 3.8 Flash: ↓ 60.2%
#4

Gemini 3.5 Flash-Lite
Google

$0.031250 (rounded ~ $0.03)
vs Gemini 3.8 Flash: ↓ 59.7%
#5

Gemini 2.5 Flash
Google

$0.031250 (rounded ~ $0.03)
vs Gemini 3.8 Flash: ↓ 59.7%
#6

GPT-6 Luna
OpenAI

$0.041300 (rounded ~ $0.04)
vs Gemini 3.8 Flash: ↓ 46.8%
#7

Gemini 3.6 Flash
Google

$0.077625 (rounded ~ $0.08)
vs Gemini 3.8 Flash: Same
#8

Claude Haiku 5.5
Anthropic

$0.103500 (rounded ~ $0.10)
vs Gemini 3.8 Flash: ↑ 33.3%
#9

Mistral Large 4
Mistral AI

$0.140236
vs Gemini 3.8 Flash: ↑ 80.7%
#10

Claude Sonnet 5.5
Anthropic

$0.204500 (rounded ~ $0.20)
vs Gemini 3.8 Flash: ↑ 163.4%
#11

Claude Sonnet 5
Anthropic

$0.207000 (rounded ~ $0.21)
vs Gemini 3.8 Flash: ↑ 166.7%
#12

Gemini 4 Argon
Google

$0.207000 (rounded ~ $0.21)
vs Gemini 3.8 Flash: ↑ 166.7%
#13

Gemini 3.1 Flash
Google

$0.207400 (rounded ~ $0.21)
vs Gemini 3.8 Flash: ↑ 167.2%
#14

GPT-5.6 Terra
OpenAI

$0.207400 (rounded ~ $0.21)
vs Gemini 3.8 Flash: ↑ 167.2%
#15

Claude Sonnet 4.6
Anthropic

$0.310500
vs Gemini 3.8 Flash: ↑ 300%
#16

Claude Opus 5.5
Anthropic

$0.409000
vs Gemini 3.8 Flash: ↑ 426.9%
#17

GPT-5.6 Sol
OpenAI

$0.414000 (rounded ~ $0.41)
vs Gemini 3.8 Flash: ↑ 433.3%
#18

Claude Opus 4.7
Anthropic

$0.517500 (rounded ~ $0.52)
vs Gemini 3.8 Flash: ↑ 566.7%
#19

Claude Opus 5
Anthropic

$0.517500 (rounded ~ $0.52)
vs Gemini 3.8 Flash: ↑ 566.7%
#20

Claude Opus 4.8
Anthropic

$0.517500 (rounded ~ $0.52)
vs Gemini 3.8 Flash: ↑ 566.7%
#21

Claude Opus 4.6
Anthropic

$0.517500 (rounded ~ $0.52)
vs Gemini 3.8 Flash: ↑ 566.7%
#22

Gemini 2.5 Pro
Google

$0.518500 (rounded ~ $0.52)
vs Gemini 3.8 Flash: ↑ 568%
#23

Grok 4.3
xAI

$0.823200 (rounded ~ $0.82)
vs Gemini 3.8 Flash: ↑ 960.5%
#24

Grok 4.20 Beta
xAI

$0.823200 (rounded ~ $0.82)
vs Gemini 3.8 Flash: ↑ 960.5%
#25

GPT-6.1 Sol
OpenAI

$0.826000 (rounded ~ $0.83)
vs Gemini 3.8 Flash: ↑ 964.1%
#26

GPT-6 Sol
OpenAI

$0.826000 (rounded ~ $0.83)
vs Gemini 3.8 Flash: ↑ 964.1%
#27

Gemini 3.1 Pro
Google

$0.827200 (rounded ~ $0.83)
vs Gemini 3.8 Flash: ↑ 965.6%
#28

Claude Fable 5.1
Anthropic

$1.016250 (rounded ~ $1.02)
vs Gemini 3.8 Flash: ↑ 1209.2%
#29

Claude Mythos 5.1
Anthropic

$1.016250 (rounded ~ $1.02)
vs Gemini 3.8 Flash: ↑ 1209.2%
#30

GPT-5.4
OpenAI

$1.034000 (rounded ~ $1.03)
vs Gemini 3.8 Flash: ↑ 1232%
#31

GPT-5.4 Thinking
OpenAI

$1.034000 (rounded ~ $1.03)
vs Gemini 3.8 Flash: ↑ 1232%
#32

Claude Fable 5
Anthropic

$1.035000 (rounded ~ $1.04)
vs Gemini 3.8 Flash: ↑ 1233.3%
#33

Claude Mythos 5
Anthropic

$1.035000 (rounded ~ $1.04)
vs Gemini 3.8 Flash: ↑ 1233.3%
#34

GPT-5.5
OpenAI

$2.068000 (rounded ~ $2.07)
vs Gemini 3.8 Flash: ↑ 2564.1%
#35

GPT-6 Astra
OpenAI

$4.140000
vs Gemini 3.8 Flash: ↑ 5233.3%
#36

GPT-6 Astra
OpenAI

$4.140000
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.

For mobile app developers focused on rapid, high-volume e-commerce applications, Gemini 3.8 Flash serves as a primary contender for content generation pipelines. When building features that require the automated drafting of hundreds or thousands of product descriptions, latency and consistent performance across diverse input categories are critical. Gemini 3.8 Flash is engineered to handle these high-throughput requirements, making it an excellent choice for scenarios where you need to balance speed with the ability to reason through complex product features and benefits.

One of the key strengths for app developers is the model’s native multimodal capability. If your product generation pipeline includes analyzing product images alongside technical specs, this model provides a streamlined workflow by avoiding the need for separate vision and text models. This simplifies your architecture and reduces potential points of failure. While larger frontier models exist, Flash-tier models are often more than sufficient for standard product descriptions, which typically follow a predictable structure.

For an MVP or a scaling indie project, the ability to iterate quickly without heavy infrastructure overhead is essential. Gemini 3.8 Flash allows you to maintain high response rates, ensuring that your app feels snappy for end-users even when processing batches of descriptions. When comparing for your specific use case, consider how frequently your app triggers these generation tasks. If your workload involves continuous, real-time generation, the efficiency of the Flash architecture can significantly streamline your development process while keeping performance stable during traffic spikes.

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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