Gemini 3.8 Flash Pricing for Ecommerce: 5,000 Product Descriptions

Complete Analysis: 1,300 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
$0.000802 Total Cost
1,300 Total Tokens
4.27 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
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

$0.000802 Total Cost
$0.000047 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
1,300Total Tokens
$0.000617Cost per 1K
1,621,832Tokens per $

📊 Advanced Cost Breakdown

Processing Speed

4.27s 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

$0.000802
Total Cost
⚡ 50% 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) $0.000844 Input: $0.000094
Output: $0.000750
Optimized Cost $0.000802 Input: $0.000094
Output: $0.000750
Unit: $0.000000
Fees: $0.000000
Total Savings $0.000042 5.0% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 500 input tokens and 800 output tokens:

  • Input Cost: $0.000094
  • Output Cost: $0.000750
  • Total Cost: $0.000802
  • Cost per 1K tokens: $0.000617
  • Tokens per dollar: 1,621,832 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: 4.27 seconds
  • Latency: 105 milliseconds to first token
  • Base Throughput: 340 tokens/second
  • Effective Throughput: 318 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for high-volumecost-sensitive ecommerce tasks requiring consistentstructured output with low latency.

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✨ Market Recommendations AI Model Registry

← Back to Gemini 3.8 Flash
📋 Active Input Parameters
Input Tokens: 500
Output Tokens: 800
Batch API: Enabled (50% discount)
Cached Tokens: 50%
Rank AI Model & Provider Total Cost vs Gemini 3.8 Flash
🏆 Ministral 3 (14B)
Mistral AI
 $0.000054 Best Value ↓ 93.3% cheaper
🥈 Voxtral Small 24B
Mistral AI
 $0.000067 ↓ 91.7% cheaper
🥉 Nemotron 3 Super
NVIDIA
 $0.000185 ↓ 77% cheaper
#4 Claude Haiku 5.5
Anthropic
 $0.000214 ↓ 73.3% cheaper
#5 GPT-6 Luna
OpenAI
 $0.000214 ↓ 73.3% cheaper
#6 GPT-5.6 Luna
OpenAI
 $0.000254 ↓ 68.3% cheaper
#7 Gemini 3.1 Flash Lite
Google
 $0.000317 ↓ 60.4% cheaper
#8 Mistral Large 3
Mistral AI
 $0.000334 ↓ 58.3% cheaper
#9 Gemini 3.5 Flash-Lite
Google
 $0.000521 ↓ 35% cheaper
#10 Gemini 2.5 Flash
Google
 $0.000521 ↓ 35% cheaper
#11 Gemini 3.6 Flash
Google
 $0.000802 Same price
#12 Mistral Large 4
Mistral AI
 $0.000930 ↑ 16% more
#13 GPT-5.4 mini
OpenAI
 $0.000952 ↑ 18.7% more
#14 Claude Haiku 4.5
Anthropic
 $0.001069 ↑ 33.3% more
#15 Gemini 3.1 Flash
Google
 $0.001269 ↑ 58.3% more
#16 Grok 4.3
xAI
 $0.001875 ↑ 133.9% more
#17 Grok 4.20 Beta
xAI
 $0.001875 ↑ 133.9% more
#18 Claude Sonnet 5.5
Anthropic
 $0.002131 ↑ 165.9% more
#19 Claude Sonnet 5
Anthropic
 $0.002138 ↑ 166.7% more
#20 Gemini 4 Argon
Google
 $0.002138 ↑ 166.7% more
#21 GPT-5.6 Terra
OpenAI
 $0.002538 ↑ 216.6% more
#22 GPT-5.3 Codex Spark
OpenAI
 $0.002920 ↑ 264.3% more
#23 GPT-5.3 Instant
OpenAI
 $0.002920 ↑ 264.3% more
#24 Claude Sonnet 4.6
Anthropic
 $0.003206 ↑ 300% more
#25 Gemini 2.5 Pro
Google
 $0.004172 ↑ 420.5% more
#26 Claude Opus 5.5
Anthropic
 $0.004263 ↑ 431.8% more
#27 GPT-6.1 Sol
OpenAI
 $0.004275 ↑ 433.3% more
#28 GPT-6 Sol
OpenAI
 $0.004275 ↑ 433.3% more
#29 GPT-5.6 Sol
OpenAI
 $0.004275 ↑ 433.3% more
#30 Gemini 3.1 Pro
Google
 $0.005075 (rounded ~ $0.01) ↑ 533.1% more
#31 Claude Opus 4.7
Anthropic
 $0.005344 (rounded ~ $0.01) ↑ 566.7% more
#32 Claude Opus 5
Anthropic
 $0.005344 (rounded ~ $0.01) ↑ 566.7% more
#33 Claude Opus 4.8
Anthropic
 $0.005344 (rounded ~ $0.01) ↑ 566.7% more
#34 Claude Opus 4.6
Anthropic
 $0.005344 (rounded ~ $0.01) ↑ 566.7% more
#35 GPT-5.4
OpenAI
 $0.006344 (rounded ~ $0.01) ↑ 691.4% more
#36 GPT-5.4 Thinking
OpenAI
 $0.006344 (rounded ~ $0.01) ↑ 691.4% more
#37 GPT-5.5 Instant
OpenAI
 $0.006344 (rounded ~ $0.01) ↑ 691.4% more
#38 Claude Fable 5.1
Anthropic
 $0.010641 ↑ 1227.5% more
#39 Claude Mythos 5.1
Anthropic
 $0.010641 ↑ 1227.5% more
#40 Claude Fable 5
Anthropic
 $0.010688 ↑ 1233.3% more
#41 Claude Mythos 5
Anthropic
 $0.010688 ↑ 1233.3% more
#42 GPT-5.5
OpenAI
 $0.012688 (rounded ~ $0.01) ↑ 1482.8% more
#43 GPT-6 Astra
OpenAI
 $0.021375 (rounded ~ $0.02) ↑ 2566.7% more
#44 GPT-5.2 Pro
OpenAI
 $0.035044 (rounded ~ $0.04) ↑ 4271.9% more
#45 GPT-5.2 Pro
OpenAI
 $0.035044 (rounded ~ $0.04) ↑ 4271.9% more
🏆

Ministral 3 (14B)
Mistral AI

$0.000054
vs Gemini 3.8 Flash: ↓ 93.3%
🥈

Voxtral Small 24B
Mistral AI

$0.000067
vs Gemini 3.8 Flash: ↓ 91.7%
🥉

Nemotron 3 Super
NVIDIA

$0.000185
vs Gemini 3.8 Flash: ↓ 77%
#4

Claude Haiku 5.5
Anthropic

$0.000214
vs Gemini 3.8 Flash: ↓ 73.3%
#5

GPT-6 Luna
OpenAI

$0.000214
vs Gemini 3.8 Flash: ↓ 73.3%
#6

GPT-5.6 Luna
OpenAI

$0.000254
vs Gemini 3.8 Flash: ↓ 68.3%
#7

Gemini 3.1 Flash Lite
Google

$0.000317
vs Gemini 3.8 Flash: ↓ 60.4%
#8

Mistral Large 3
Mistral AI

$0.000334
vs Gemini 3.8 Flash: ↓ 58.3%
#9

Gemini 3.5 Flash-Lite
Google

$0.000521
vs Gemini 3.8 Flash: ↓ 35%
#10

Gemini 2.5 Flash
Google

$0.000521
vs Gemini 3.8 Flash: ↓ 35%
#11

Gemini 3.6 Flash
Google

$0.000802
vs Gemini 3.8 Flash: Same
#12

Mistral Large 4
Mistral AI

$0.000930
vs Gemini 3.8 Flash: ↑ 16%
#13

GPT-5.4 mini
OpenAI

$0.000952
vs Gemini 3.8 Flash: ↑ 18.7%
#14

Claude Haiku 4.5
Anthropic

$0.001069
vs Gemini 3.8 Flash: ↑ 33.3%
#15

Gemini 3.1 Flash
Google

$0.001269
vs Gemini 3.8 Flash: ↑ 58.3%
#16

Grok 4.3
xAI

$0.001875
vs Gemini 3.8 Flash: ↑ 133.9%
#17

Grok 4.20 Beta
xAI

$0.001875
vs Gemini 3.8 Flash: ↑ 133.9%
#18

Claude Sonnet 5.5
Anthropic

$0.002131
vs Gemini 3.8 Flash: ↑ 165.9%
#19

Claude Sonnet 5
Anthropic

$0.002138
vs Gemini 3.8 Flash: ↑ 166.7%
#20

Gemini 4 Argon
Google

$0.002138
vs Gemini 3.8 Flash: ↑ 166.7%
#21

GPT-5.6 Terra
OpenAI

$0.002538
vs Gemini 3.8 Flash: ↑ 216.6%
#22

GPT-5.3 Codex Spark
OpenAI

$0.002920
vs Gemini 3.8 Flash: ↑ 264.3%
#23

GPT-5.3 Instant
OpenAI

$0.002920
vs Gemini 3.8 Flash: ↑ 264.3%
#24

Claude Sonnet 4.6
Anthropic

$0.003206
vs Gemini 3.8 Flash: ↑ 300%
#25

Gemini 2.5 Pro
Google

$0.004172
vs Gemini 3.8 Flash: ↑ 420.5%
#26

Claude Opus 5.5
Anthropic

$0.004263
vs Gemini 3.8 Flash: ↑ 431.8%
#27

GPT-6.1 Sol
OpenAI

$0.004275
vs Gemini 3.8 Flash: ↑ 433.3%
#28

GPT-6 Sol
OpenAI

$0.004275
vs Gemini 3.8 Flash: ↑ 433.3%
#29

GPT-5.6 Sol
OpenAI

$0.004275
vs Gemini 3.8 Flash: ↑ 433.3%
#30

Gemini 3.1 Pro
Google

$0.005075 (rounded ~ $0.01)
vs Gemini 3.8 Flash: ↑ 533.1%
#31

Claude Opus 4.7
Anthropic

$0.005344 (rounded ~ $0.01)
vs Gemini 3.8 Flash: ↑ 566.7%
#32

Claude Opus 5
Anthropic

$0.005344 (rounded ~ $0.01)
vs Gemini 3.8 Flash: ↑ 566.7%
#33

Claude Opus 4.8
Anthropic

$0.005344 (rounded ~ $0.01)
vs Gemini 3.8 Flash: ↑ 566.7%
#34

Claude Opus 4.6
Anthropic

$0.005344 (rounded ~ $0.01)
vs Gemini 3.8 Flash: ↑ 566.7%
#35

GPT-5.4
OpenAI

$0.006344 (rounded ~ $0.01)
vs Gemini 3.8 Flash: ↑ 691.4%
#36

GPT-5.4 Thinking
OpenAI

$0.006344 (rounded ~ $0.01)
vs Gemini 3.8 Flash: ↑ 691.4%
#37

GPT-5.5 Instant
OpenAI

$0.006344 (rounded ~ $0.01)
vs Gemini 3.8 Flash: ↑ 691.4%
#38

Claude Fable 5.1
Anthropic

$0.010641
vs Gemini 3.8 Flash: ↑ 1227.5%
#39

Claude Mythos 5.1
Anthropic

$0.010641
vs Gemini 3.8 Flash: ↑ 1227.5%
#40

Claude Fable 5
Anthropic

$0.010688
vs Gemini 3.8 Flash: ↑ 1233.3%
#41

Claude Mythos 5
Anthropic

$0.010688
vs Gemini 3.8 Flash: ↑ 1233.3%
#42

GPT-5.5
OpenAI

$0.012688 (rounded ~ $0.01)
vs Gemini 3.8 Flash: ↑ 1482.8%
#43

GPT-6 Astra
OpenAI

$0.021375 (rounded ~ $0.02)
vs Gemini 3.8 Flash: ↑ 2566.7%
#44

GPT-5.2 Pro
OpenAI

$0.035044 (rounded ~ $0.04)
vs Gemini 3.8 Flash: ↑ 4271.9%
#45

GPT-5.2 Pro
OpenAI

$0.035044 (rounded ~ $0.04)
vs Gemini 3.8 Flash: ↑ 4271.9%
✨ 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.

Gemini 3.8 Flash has become a standard choice for ecommerce founders needing rapid, high-volume content generation. The key advantage for this model in a bulk product description pipeline is its extreme efficiency. When you are processing 5,000 descriptions, latency and cost-per-call are the primary bottlenecks, and Gemini 3.8 Flash is purpose-built to handle these constraints effectively.

For ecommerce startups, the ability to rapidly churn through product catalogs is critical for SEO and site enrichment. This model excels at processing structured input data—such as CSV or JSON product attributes—and outputting consistent, SEO-friendly descriptions. Unlike heavier models that may introduce unnecessary latency or cost for simple copy tasks, this model delivers reliable performance that integrates seamlessly into automated workflows.

Founders should also consider the multimodal nature of this model. If your workflow eventually evolves to include automated image tagging or visual content analysis alongside text generation, the underlying architecture is already prepared for that transition. It provides a stable, predictable output that reduces the need for manual oversight and editing. For a solo founder optimizing an MVP for the cheapest workable model while maintaining professional output, this platform offers a balanced solution that avoids the feature bloat found in more expensive, specialized models. It is an ideal baseline for building a scalable content engine.

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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