Gemini 3.8 Flash for Ecommerce Support at 50K Tokens

Complete Analysis: 52,000 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)
$0.038250 (rounded ~ $0.04) Total Cost
52,000 Total Tokens
2 minutes, 43.83 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

$0.038250 Total Cost
$0.030000 Input Cost
$0.007500 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
52,000Total Tokens
$0.000736Cost per 1K
1,359,477Tokens per $

📊 Advanced Cost Breakdown

Processing Speed

2m 43s 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

$0.038250 (rounded ~ $0.04)
Total Cost
⚡ 20% Cached 🔧 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) $0.045000 (rounded ~ $0.05) Input: $0.037500 (rounded ~ $0.04)
Output: $0.007500 (rounded ~ $0.01)
Optimized Cost $0.038250 (rounded ~ $0.04) Input: $0.037500 (rounded ~ $0.04)
Output: $0.007500 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.006750 (rounded ~ $0.01) 15.0% discount

Detailed Cost Analysis (from Plugin)

For 50,000 input tokens and 2,000 output tokens:

  • Input Cost: $0.037500 (rounded ~ $0.04)
  • Output Cost: $0.007500 (rounded ~ $0.01)
  • Total Cost: $0.038250 (rounded ~ $0.04)
  • Cost per 1K tokens: $0.000736
  • Tokens per dollar: 1,359,477 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: 2 minutes, 43.83 seconds
  • Latency: 105 milliseconds to first token
  • Base Throughput: 340 tokens/second
  • Effective Throughput: 318 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for responsivehigh-volume customer support chatbots that require low latency and effective multi-turn context management.

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✨ Market Recommendations AI Model Registry

← Back to Gemini 3.8 Flash
📋 Active Input Parameters
Input Tokens: 50,000
Output Tokens: 2,000
Cached Tokens: 20%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Gemini 3.8 Flash
🏆 Claude Haiku 5.5
Anthropic
 $0.005100 (rounded ~ $0.01) Best Value ↓ 86.7% cheaper
🥈 GPT-6 Luna
OpenAI
 $0.005100 (rounded ~ $0.01) ↓ 86.7% cheaper
🥉 GPT-5.6 Luna
OpenAI
 $0.010600 ↓ 72.3% cheaper
#4 Grok Code Fast 1
xAI
 $0.011200 (rounded ~ $0.01) ↓ 70.7% cheaper
#5 Gemini 3.1 Flash Lite
Google
 $0.013250 (rounded ~ $0.01) ↓ 65.4% cheaper
#6 Gemini 3.5 Flash-Lite
Google
 $0.017300 (rounded ~ $0.02) ↓ 54.8% cheaper
#7 Gemini 2.5 Flash
Google
 $0.017300 (rounded ~ $0.02) ↓ 54.8% cheaper
#8 Mistral Large 3
Mistral AI
 $0.023500 (rounded ~ $0.02) ↓ 38.6% cheaper
#9 Gemini 3.1 Flash
Google
 $0.026500 (rounded ~ $0.03) ↓ 30.7% cheaper
#10 Gemini 3.6 Flash
Google
 $0.038250 (rounded ~ $0.04) Same price
#11 GPT-5.4 mini
OpenAI
 $0.039750 ↑ 3.9% more
#12 Grok Build 0.1
xAI
 $0.045000 (rounded ~ $0.05) ↑ 17.6% more
#13 Claude Haiku 4.5
Anthropic
 $0.051000 (rounded ~ $0.05) ↑ 33.3% more
#14 Grok 4.3
xAI
 $0.056250 (rounded ~ $0.06) ↑ 47.1% more
#15 Grok 4.20 Beta
xAI
 $0.056250 (rounded ~ $0.06) ↑ 47.1% more
#16 Mistral Large 4
Mistral AI
 $0.064120 (rounded ~ $0.06) ↑ 67.6% more
#17 Gemini 2.5 Pro
Google
 $0.071250 (rounded ~ $0.07) ↑ 86.3% more
#18 Grok 4.7
xAI
 $0.094000 (rounded ~ $0.09) ↑ 145.8% more
#19 Grok 4.6
xAI
 $0.094000 (rounded ~ $0.09) ↑ 145.8% more
#20 Grok 4.5
xAI
 $0.094000 (rounded ~ $0.09) ↑ 145.8% more
#21 GPT-5.3 Codex Spark
OpenAI
 $0.099750 ↑ 160.8% more
#22 GPT-5.3 Instant
OpenAI
 $0.099750 ↑ 160.8% more
#23 Claude Sonnet 5.5
Anthropic
 $0.101000 (rounded ~ $0.10) ↑ 164.1% more
#24 Claude Sonnet 5
Anthropic
 $0.102000 (rounded ~ $0.10) ↑ 166.7% more
#25 Gemini 4 Argon
Google
 $0.102000 (rounded ~ $0.10) ↑ 166.7% more
#26 GPT-6.1 Sol
OpenAI
 $0.102000 (rounded ~ $0.10) ↑ 166.7% more
#27 GPT-6 Sol
OpenAI
 $0.102000 (rounded ~ $0.10) ↑ 166.7% more
#28 Kimi K3.1 Pro
Moonshot AI
 $0.103400 (rounded ~ $0.10) ↑ 170.3% more
#29 Gemini 3.1 Pro
Google
 $0.106000 (rounded ~ $0.11) ↑ 177.1% more
#30 GPT-5.6 Terra
OpenAI
 $0.106000 (rounded ~ $0.11) ↑ 177.1% more
#31 GPT-5.4
OpenAI
 $0.132500 (rounded ~ $0.13) ↑ 246.4% more
#32 GPT-5.4 Thinking
OpenAI
 $0.132500 (rounded ~ $0.13) ↑ 246.4% more
#33 Claude Sonnet 4.6
Anthropic
 $0.153000 (rounded ~ $0.15) ↑ 300% more
#34 Kimi K3
Moonshot AI
 $0.155100 (rounded ~ $0.16) ↑ 305.5% more
#35 Claude Opus 5.5
Anthropic
 $0.202000 (rounded ~ $0.20) ↑ 428.1% more
#36 GPT-5.6 Sol
OpenAI
 $0.204000 (rounded ~ $0.20) ↑ 433.3% more
#37 Muse Wonder 1.0
Meta AI
 $0.240000 ↑ 527.5% more
#38 Claude Opus 4.7
Anthropic
 $0.255000 (rounded ~ $0.26) ↑ 566.7% more
#39 Claude Opus 5
Anthropic
 $0.255000 (rounded ~ $0.26) ↑ 566.7% more
#40 Claude Opus 4.8
Anthropic
 $0.255000 (rounded ~ $0.26) ↑ 566.7% more
#41 Claude Opus 4.6
Anthropic
 $0.255000 (rounded ~ $0.26) ↑ 566.7% more
#42 GPT-5.5
OpenAI
 $0.265000 (rounded ~ $0.27) ↑ 592.8% more
#43 GPT-5.5 Instant
OpenAI
 $0.265000 (rounded ~ $0.27) ↑ 592.8% more
#44 Claude Fable 5.1
Anthropic
 $0.502500 (rounded ~ $0.50) ↑ 1213.7% more
#45 Claude Mythos 5.1
Anthropic
 $0.502500 (rounded ~ $0.50) ↑ 1213.7% more
#46 Claude Fable 5
Anthropic
 $0.510000 ↑ 1233.3% more
#47 Claude Mythos 5
Anthropic
 $0.510000 ↑ 1233.3% more
#48 GPT-6 Astra
OpenAI
 $0.510000 ↑ 1233.3% more
#49 GPT-5.2 Pro
OpenAI
 $1.197000 (rounded ~ $1.20) ↑ 3029.4% more
#50 GPT-5.2 Pro
OpenAI
 $1.197000 (rounded ~ $1.20) ↑ 3029.4% more
🏆

Claude Haiku 5.5
Anthropic

$0.005100 (rounded ~ $0.01)
vs Gemini 3.8 Flash: ↓ 86.7%
🥈

GPT-6 Luna
OpenAI

$0.005100 (rounded ~ $0.01)
vs Gemini 3.8 Flash: ↓ 86.7%
🥉

GPT-5.6 Luna
OpenAI

$0.010600
vs Gemini 3.8 Flash: ↓ 72.3%
#4

Grok Code Fast 1
xAI

$0.011200 (rounded ~ $0.01)
vs Gemini 3.8 Flash: ↓ 70.7%
#5

Gemini 3.1 Flash Lite
Google

$0.013250 (rounded ~ $0.01)
vs Gemini 3.8 Flash: ↓ 65.4%
#6

Gemini 3.5 Flash-Lite
Google

$0.017300 (rounded ~ $0.02)
vs Gemini 3.8 Flash: ↓ 54.8%
#7

Gemini 2.5 Flash
Google

$0.017300 (rounded ~ $0.02)
vs Gemini 3.8 Flash: ↓ 54.8%
#8

Mistral Large 3
Mistral AI

$0.023500 (rounded ~ $0.02)
vs Gemini 3.8 Flash: ↓ 38.6%
#9

Gemini 3.1 Flash
Google

$0.026500 (rounded ~ $0.03)
vs Gemini 3.8 Flash: ↓ 30.7%
#10

Gemini 3.6 Flash
Google

$0.038250 (rounded ~ $0.04)
vs Gemini 3.8 Flash: Same
#11

GPT-5.4 mini
OpenAI

$0.039750
vs Gemini 3.8 Flash: ↑ 3.9%
#12

Grok Build 0.1
xAI

$0.045000 (rounded ~ $0.05)
vs Gemini 3.8 Flash: ↑ 17.6%
#13

Claude Haiku 4.5
Anthropic

$0.051000 (rounded ~ $0.05)
vs Gemini 3.8 Flash: ↑ 33.3%
#14

Grok 4.3
xAI

$0.056250 (rounded ~ $0.06)
vs Gemini 3.8 Flash: ↑ 47.1%
#15

Grok 4.20 Beta
xAI

$0.056250 (rounded ~ $0.06)
vs Gemini 3.8 Flash: ↑ 47.1%
#16

Mistral Large 4
Mistral AI

$0.064120 (rounded ~ $0.06)
vs Gemini 3.8 Flash: ↑ 67.6%
#17

Gemini 2.5 Pro
Google

$0.071250 (rounded ~ $0.07)
vs Gemini 3.8 Flash: ↑ 86.3%
#18

Grok 4.7
xAI

$0.094000 (rounded ~ $0.09)
vs Gemini 3.8 Flash: ↑ 145.8%
#19

Grok 4.6
xAI

$0.094000 (rounded ~ $0.09)
vs Gemini 3.8 Flash: ↑ 145.8%
#20

Grok 4.5
xAI

$0.094000 (rounded ~ $0.09)
vs Gemini 3.8 Flash: ↑ 145.8%
#21

GPT-5.3 Codex Spark
OpenAI

$0.099750
vs Gemini 3.8 Flash: ↑ 160.8%
#22

GPT-5.3 Instant
OpenAI

$0.099750
vs Gemini 3.8 Flash: ↑ 160.8%
#23

Claude Sonnet 5.5
Anthropic

$0.101000 (rounded ~ $0.10)
vs Gemini 3.8 Flash: ↑ 164.1%
#24

Claude Sonnet 5
Anthropic

$0.102000 (rounded ~ $0.10)
vs Gemini 3.8 Flash: ↑ 166.7%
#25

Gemini 4 Argon
Google

$0.102000 (rounded ~ $0.10)
vs Gemini 3.8 Flash: ↑ 166.7%
#26

GPT-6.1 Sol
OpenAI

$0.102000 (rounded ~ $0.10)
vs Gemini 3.8 Flash: ↑ 166.7%
#27

GPT-6 Sol
OpenAI

$0.102000 (rounded ~ $0.10)
vs Gemini 3.8 Flash: ↑ 166.7%
#28

Kimi K3.1 Pro
Moonshot AI

$0.103400 (rounded ~ $0.10)
vs Gemini 3.8 Flash: ↑ 170.3%
#29

Gemini 3.1 Pro
Google

$0.106000 (rounded ~ $0.11)
vs Gemini 3.8 Flash: ↑ 177.1%
#30

GPT-5.6 Terra
OpenAI

$0.106000 (rounded ~ $0.11)
vs Gemini 3.8 Flash: ↑ 177.1%
#31

GPT-5.4
OpenAI

$0.132500 (rounded ~ $0.13)
vs Gemini 3.8 Flash: ↑ 246.4%
#32

GPT-5.4 Thinking
OpenAI

$0.132500 (rounded ~ $0.13)
vs Gemini 3.8 Flash: ↑ 246.4%
#33

Claude Sonnet 4.6
Anthropic

$0.153000 (rounded ~ $0.15)
vs Gemini 3.8 Flash: ↑ 300%
#34

Kimi K3
Moonshot AI

$0.155100 (rounded ~ $0.16)
vs Gemini 3.8 Flash: ↑ 305.5%
#35

Claude Opus 5.5
Anthropic

$0.202000 (rounded ~ $0.20)
vs Gemini 3.8 Flash: ↑ 428.1%
#36

GPT-5.6 Sol
OpenAI

$0.204000 (rounded ~ $0.20)
vs Gemini 3.8 Flash: ↑ 433.3%
#37

Muse Wonder 1.0
Meta AI

$0.240000
vs Gemini 3.8 Flash: ↑ 527.5%
#38

Claude Opus 4.7
Anthropic

$0.255000 (rounded ~ $0.26)
vs Gemini 3.8 Flash: ↑ 566.7%
#39

Claude Opus 5
Anthropic

$0.255000 (rounded ~ $0.26)
vs Gemini 3.8 Flash: ↑ 566.7%
#40

Claude Opus 4.8
Anthropic

$0.255000 (rounded ~ $0.26)
vs Gemini 3.8 Flash: ↑ 566.7%
#41

Claude Opus 4.6
Anthropic

$0.255000 (rounded ~ $0.26)
vs Gemini 3.8 Flash: ↑ 566.7%
#42

GPT-5.5
OpenAI

$0.265000 (rounded ~ $0.27)
vs Gemini 3.8 Flash: ↑ 592.8%
#43

GPT-5.5 Instant
OpenAI

$0.265000 (rounded ~ $0.27)
vs Gemini 3.8 Flash: ↑ 592.8%
#44

Claude Fable 5.1
Anthropic

$0.502500 (rounded ~ $0.50)
vs Gemini 3.8 Flash: ↑ 1213.7%
#45

Claude Mythos 5.1
Anthropic

$0.502500 (rounded ~ $0.50)
vs Gemini 3.8 Flash: ↑ 1213.7%
#46

Claude Fable 5
Anthropic

$0.510000
vs Gemini 3.8 Flash: ↑ 1233.3%
#47

Claude Mythos 5
Anthropic

$0.510000
vs Gemini 3.8 Flash: ↑ 1233.3%
#48

GPT-6 Astra
OpenAI

$0.510000
vs Gemini 3.8 Flash: ↑ 1233.3%
#49

GPT-5.2 Pro
OpenAI

$1.197000 (rounded ~ $1.20)
vs Gemini 3.8 Flash: ↑ 3029.4%
#50

GPT-5.2 Pro
OpenAI

$1.197000 (rounded ~ $1.20)
vs Gemini 3.8 Flash: ↑ 3029.4%
✨ 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.

Customer support automation for small-to-medium ecommerce platforms requires a precise balance between responsiveness and context retention. As support teams scale from manual responses to automated triage, the primary challenge becomes maintaining high-quality service without ballooning operational overhead. Gemini 3.8 Flash is particularly well-suited for this tier of deployment, offering a sophisticated balance of low latency and high-reasoning capability that ensures support threads remain coherent over multi-turn interactions.

When designing for a 50K-token daily volume, the efficiency of your model choice directly impacts the speed of your support feedback loop. Unlike heavier reasoning models that might introduce unnecessary delay in a real-time chat interface, this model delivers rapid, accurate responses that mimic human support agents effectively. The key to successful implementation lies in managing your conversation state; using efficient context window usage allows you to maintain the full history of a customer issue, enabling the AI to reference previous troubleshooting steps without losing the thread.

For developers and indie hackers, the focus should be on building a resilient pipeline that handles common inquiries while escalating complex edge cases to human agents. By optimizing your prompts to leverage the native tool-calling capabilities of this model, you can streamline common tasks like order tracking or return authorization. The decision to adopt a model like this often hinges on its ability to integrate seamlessly into existing support stacks while providing enough architectural stability to grow alongside your customer base.

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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