Gemini 3.8 Flash Pricing: Cost for 15K-Token RAG Queries

Complete Analysis: 15,500 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)
$0.008063 (rounded ~ $0.01) Total Cost
15,500 Total Tokens
48.96 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

$0.008063 Total Cost
$0.005625 Input Cost
$0.001875 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
15,500Total Tokens
$0.000520Cost per 1K
1,922,481Tokens per $

📊 Advanced Cost Breakdown

Processing Speed

48.96s 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

$0.008063 (rounded ~ $0.01)
Total Cost
⚡ 50% 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) $0.013125 (rounded ~ $0.01) Input: $0.011250 (rounded ~ $0.01)
Output: $0.001875
Optimized Cost $0.008063 (rounded ~ $0.01) Input: $0.011250 (rounded ~ $0.01)
Output: $0.001875
Unit: $0.000000
Fees: $0.000000
Total Savings $0.005063 (rounded ~ $0.01) 38.6% discount

Detailed Cost Analysis (from Plugin)

For 15,000 input tokens and 500 output tokens:

  • Input Cost: $0.011250 (rounded ~ $0.01)
  • Output Cost: $0.001875
  • Total Cost: $0.008063 (rounded ~ $0.01)
  • Cost per 1K tokens: $0.000520
  • Tokens per dollar: 1,922,481 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: 48.96 seconds
  • Latency: 105 milliseconds to first token
  • Base Throughput: 340 tokens/second
  • Effective Throughput: 318 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for low-latencyhigh-volume RAG applications and customer-facing chatbots that require fastreliable retrieval from medium-sized document sets.

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✨ Market Recommendations AI Model Registry

← Back to Gemini 3.8 Flash
📋 Active Input Parameters
Input Tokens: 15,000
Output Tokens: 500
Cached Tokens: 50%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Gemini 3.8 Flash
🏆 Claude Haiku 5.5
Anthropic
 $0.001075 Best Value ↓ 86.7% cheaper
🥈 GPT-6 Luna
OpenAI
 $0.001075 ↓ 86.7% cheaper
🥉 GPT-5.6 Luna
OpenAI
 $0.002250 ↓ 72.1% cheaper
#4 Grok Code Fast 1
xAI
 $0.002400 ↓ 70.2% cheaper
#5 Gemini 3.1 Flash Lite
Google
 $0.002813 ↓ 65.1% cheaper
#6 Gemini 3.5 Flash-Lite
Google
 $0.003725 ↓ 53.8% cheaper
#7 Gemini 2.5 Flash
Google
 $0.003725 ↓ 53.8% cheaper
#8 Mistral Large 3
Mistral AI
 $0.004875 ↓ 39.5% cheaper
#9 Gemini 3.1 Flash
Google
 $0.005625 (rounded ~ $0.01) ↓ 30.2% cheaper
#10 Gemini 3.6 Flash
Google
 $0.008063 (rounded ~ $0.01) Same price
#11 GPT-5.4 mini
OpenAI
 $0.008438 (rounded ~ $0.01) ↑ 4.7% more
#12 Grok Build 0.1
xAI
 $0.009250 ↑ 14.7% more
#13 Claude Haiku 4.5
Anthropic
 $0.010750 ↑ 33.3% more
#14 Grok 4.3
xAI
 $0.011563 (rounded ~ $0.01) ↑ 43.4% more
#15 Grok 4.20 Beta
xAI
 $0.011563 (rounded ~ $0.01) ↑ 43.4% more
#16 Mistral Large 4
Mistral AI
 $0.013310 (rounded ~ $0.01) ↑ 65.1% more
#17 Gemini 2.5 Pro
Google
 $0.015313 (rounded ~ $0.02) ↑ 89.9% more
#18 Grok 4.7
xAI
 $0.019500 ↑ 141.9% more
#19 Grok 4.6
xAI
 $0.019500 ↑ 141.9% more
#20 Grok 4.5
xAI
 $0.019500 ↑ 141.9% more
#21 Claude Sonnet 5.5
Anthropic
 $0.020750 ↑ 157.4% more
#22 GPT-5.3 Codex Spark
OpenAI
 $0.021438 (rounded ~ $0.02) ↑ 165.9% more
#23 GPT-5.3 Instant
OpenAI
 $0.021438 (rounded ~ $0.02) ↑ 165.9% more
#24 Claude Sonnet 5
Anthropic
 $0.021500 (rounded ~ $0.02) ↑ 166.7% more
#25 Gemini 4 Argon
Google
 $0.021500 (rounded ~ $0.02) ↑ 166.7% more
#26 GPT-6.1 Sol
OpenAI
 $0.021500 (rounded ~ $0.02) ↑ 166.7% more
#27 GPT-6 Sol
OpenAI
 $0.021500 (rounded ~ $0.02) ↑ 166.7% more
#28 Gemini 3.1 Pro
Google
 $0.022500 (rounded ~ $0.02) ↑ 179.1% more
#29 GPT-5.6 Terra
OpenAI
 $0.022500 (rounded ~ $0.02) ↑ 179.1% more
#30 Kimi K3.1 Pro
Moonshot AI
 $0.022550 (rounded ~ $0.02) ↑ 179.7% more
#31 GPT-5.4
OpenAI
 $0.028125 (rounded ~ $0.03) ↑ 248.8% more
#32 GPT-5.4 Thinking
OpenAI
 $0.028125 (rounded ~ $0.03) ↑ 248.8% more
#33 Claude Sonnet 4.6
Anthropic
 $0.032250 (rounded ~ $0.03) ↑ 300% more
#34 Kimi K3
Moonshot AI
 $0.033825 (rounded ~ $0.03) ↑ 319.5% more
#35 Claude Opus 5.5
Anthropic
 $0.041500 (rounded ~ $0.04) ↑ 414.7% more
#36 GPT-5.6 Sol
OpenAI
 $0.043000 (rounded ~ $0.04) ↑ 433.3% more
#37 Claude Opus 4.7
Anthropic
 $0.053750 (rounded ~ $0.05) ↑ 566.7% more
#38 Claude Opus 5
Anthropic
 $0.053750 (rounded ~ $0.05) ↑ 566.7% more
#39 Claude Opus 4.8
Anthropic
 $0.053750 (rounded ~ $0.05) ↑ 566.7% more
#40 Claude Opus 4.6
Anthropic
 $0.053750 (rounded ~ $0.05) ↑ 566.7% more
#41 GPT-5.5
OpenAI
 $0.056250 (rounded ~ $0.06) ↑ 597.7% more
#42 GPT-5.5 Instant
OpenAI
 $0.056250 (rounded ~ $0.06) ↑ 597.7% more
#43 Muse Wonder 1.0
Meta AI
 $0.070000 ↑ 768.2% more
#44 Claude Fable 5.1
Anthropic
 $0.101875 (rounded ~ $0.10) ↑ 1163.6% more
#45 Claude Mythos 5.1
Anthropic
 $0.101875 (rounded ~ $0.10) ↑ 1163.6% more
#46 Claude Fable 5
Anthropic
 $0.107500 (rounded ~ $0.11) ↑ 1233.3% more
#47 Claude Mythos 5
Anthropic
 $0.107500 (rounded ~ $0.11) ↑ 1233.3% more
#48 GPT-6 Astra
OpenAI
 $0.107500 (rounded ~ $0.11) ↑ 1233.3% more
#49 GPT-5.2 Pro
OpenAI
 $0.257250 (rounded ~ $0.26) ↑ 3090.7% more
#50 GPT-5.2 Pro
OpenAI
 $0.257250 (rounded ~ $0.26) ↑ 3090.7% more
🏆

Claude Haiku 5.5
Anthropic

$0.001075
vs Gemini 3.8 Flash: ↓ 86.7%
🥈

GPT-6 Luna
OpenAI

$0.001075
vs Gemini 3.8 Flash: ↓ 86.7%
🥉

GPT-5.6 Luna
OpenAI

$0.002250
vs Gemini 3.8 Flash: ↓ 72.1%
#4

Grok Code Fast 1
xAI

$0.002400
vs Gemini 3.8 Flash: ↓ 70.2%
#5

Gemini 3.1 Flash Lite
Google

$0.002813
vs Gemini 3.8 Flash: ↓ 65.1%
#6

Gemini 3.5 Flash-Lite
Google

$0.003725
vs Gemini 3.8 Flash: ↓ 53.8%
#7

Gemini 2.5 Flash
Google

$0.003725
vs Gemini 3.8 Flash: ↓ 53.8%
#8

Mistral Large 3
Mistral AI

$0.004875
vs Gemini 3.8 Flash: ↓ 39.5%
#9

Gemini 3.1 Flash
Google

$0.005625 (rounded ~ $0.01)
vs Gemini 3.8 Flash: ↓ 30.2%
#10

Gemini 3.6 Flash
Google

$0.008063 (rounded ~ $0.01)
vs Gemini 3.8 Flash: Same
#11

GPT-5.4 mini
OpenAI

$0.008438 (rounded ~ $0.01)
vs Gemini 3.8 Flash: ↑ 4.7%
#12

Grok Build 0.1
xAI

$0.009250
vs Gemini 3.8 Flash: ↑ 14.7%
#13

Claude Haiku 4.5
Anthropic

$0.010750
vs Gemini 3.8 Flash: ↑ 33.3%
#14

Grok 4.3
xAI

$0.011563 (rounded ~ $0.01)
vs Gemini 3.8 Flash: ↑ 43.4%
#15

Grok 4.20 Beta
xAI

$0.011563 (rounded ~ $0.01)
vs Gemini 3.8 Flash: ↑ 43.4%
#16

Mistral Large 4
Mistral AI

$0.013310 (rounded ~ $0.01)
vs Gemini 3.8 Flash: ↑ 65.1%
#17

Gemini 2.5 Pro
Google

$0.015313 (rounded ~ $0.02)
vs Gemini 3.8 Flash: ↑ 89.9%
#18

Grok 4.7
xAI

$0.019500
vs Gemini 3.8 Flash: ↑ 141.9%
#19

Grok 4.6
xAI

$0.019500
vs Gemini 3.8 Flash: ↑ 141.9%
#20

Grok 4.5
xAI

$0.019500
vs Gemini 3.8 Flash: ↑ 141.9%
#21

Claude Sonnet 5.5
Anthropic

$0.020750
vs Gemini 3.8 Flash: ↑ 157.4%
#22

GPT-5.3 Codex Spark
OpenAI

$0.021438 (rounded ~ $0.02)
vs Gemini 3.8 Flash: ↑ 165.9%
#23

GPT-5.3 Instant
OpenAI

$0.021438 (rounded ~ $0.02)
vs Gemini 3.8 Flash: ↑ 165.9%
#24

Claude Sonnet 5
Anthropic

$0.021500 (rounded ~ $0.02)
vs Gemini 3.8 Flash: ↑ 166.7%
#25

Gemini 4 Argon
Google

$0.021500 (rounded ~ $0.02)
vs Gemini 3.8 Flash: ↑ 166.7%
#26

GPT-6.1 Sol
OpenAI

$0.021500 (rounded ~ $0.02)
vs Gemini 3.8 Flash: ↑ 166.7%
#27

GPT-6 Sol
OpenAI

$0.021500 (rounded ~ $0.02)
vs Gemini 3.8 Flash: ↑ 166.7%
#28

Gemini 3.1 Pro
Google

$0.022500 (rounded ~ $0.02)
vs Gemini 3.8 Flash: ↑ 179.1%
#29

GPT-5.6 Terra
OpenAI

$0.022500 (rounded ~ $0.02)
vs Gemini 3.8 Flash: ↑ 179.1%
#30

Kimi K3.1 Pro
Moonshot AI

$0.022550 (rounded ~ $0.02)
vs Gemini 3.8 Flash: ↑ 179.7%
#31

GPT-5.4
OpenAI

$0.028125 (rounded ~ $0.03)
vs Gemini 3.8 Flash: ↑ 248.8%
#32

GPT-5.4 Thinking
OpenAI

$0.028125 (rounded ~ $0.03)
vs Gemini 3.8 Flash: ↑ 248.8%
#33

Claude Sonnet 4.6
Anthropic

$0.032250 (rounded ~ $0.03)
vs Gemini 3.8 Flash: ↑ 300%
#34

Kimi K3
Moonshot AI

$0.033825 (rounded ~ $0.03)
vs Gemini 3.8 Flash: ↑ 319.5%
#35

Claude Opus 5.5
Anthropic

$0.041500 (rounded ~ $0.04)
vs Gemini 3.8 Flash: ↑ 414.7%
#36

GPT-5.6 Sol
OpenAI

$0.043000 (rounded ~ $0.04)
vs Gemini 3.8 Flash: ↑ 433.3%
#37

Claude Opus 4.7
Anthropic

$0.053750 (rounded ~ $0.05)
vs Gemini 3.8 Flash: ↑ 566.7%
#38

Claude Opus 5
Anthropic

$0.053750 (rounded ~ $0.05)
vs Gemini 3.8 Flash: ↑ 566.7%
#39

Claude Opus 4.8
Anthropic

$0.053750 (rounded ~ $0.05)
vs Gemini 3.8 Flash: ↑ 566.7%
#40

Claude Opus 4.6
Anthropic

$0.053750 (rounded ~ $0.05)
vs Gemini 3.8 Flash: ↑ 566.7%
#41

GPT-5.5
OpenAI

$0.056250 (rounded ~ $0.06)
vs Gemini 3.8 Flash: ↑ 597.7%
#42

GPT-5.5 Instant
OpenAI

$0.056250 (rounded ~ $0.06)
vs Gemini 3.8 Flash: ↑ 597.7%
#43

Muse Wonder 1.0
Meta AI

$0.070000
vs Gemini 3.8 Flash: ↑ 768.2%
#44

Claude Fable 5.1
Anthropic

$0.101875 (rounded ~ $0.10)
vs Gemini 3.8 Flash: ↑ 1163.6%
#45

Claude Mythos 5.1
Anthropic

$0.101875 (rounded ~ $0.10)
vs Gemini 3.8 Flash: ↑ 1163.6%
#46

Claude Fable 5
Anthropic

$0.107500 (rounded ~ $0.11)
vs Gemini 3.8 Flash: ↑ 1233.3%
#47

Claude Mythos 5
Anthropic

$0.107500 (rounded ~ $0.11)
vs Gemini 3.8 Flash: ↑ 1233.3%
#48

GPT-6 Astra
OpenAI

$0.107500 (rounded ~ $0.11)
vs Gemini 3.8 Flash: ↑ 1233.3%
#49

GPT-5.2 Pro
OpenAI

$0.257250 (rounded ~ $0.26)
vs Gemini 3.8 Flash: ↑ 3090.7%
#50

GPT-5.2 Pro
OpenAI

$0.257250 (rounded ~ $0.26)
vs Gemini 3.8 Flash: ↑ 3090.7%
✨ 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.

Optimizing RAG Pipelines for Solo SaaS

For solo founders building MVP-stage RAG chatbots, the primary challenge is balancing retrieval accuracy with operational costs. Gemini 3.8 Flash offers a compelling path for lightweight, high-frequency retrieval tasks where latency is just as critical as the quality of the answer. By focusing on models that excel at handling mid-sized context windows efficiently, you can maintain a responsive user experience without ballooning your budget.

Gemini 3.8 Flash stands out for its high performance in structured data extraction and contextual reasoning, which are essential when your RAG system needs to synthesize information from a variety of sources. Unlike larger, slower frontier models, this model is engineered to handle repeated, short-duration tasks, making it ideal for the 15K-token input range commonly seen in focused customer-support or knowledge-base retrieval scenarios. For a solo founder, the ability to iterate quickly without worrying about complex pricing tiers is a significant operational advantage.

When selecting a model for your chatbot, consider the trade-off between reasoning depth and system speed. While some tasks require the heavy-duty logic of a top-tier model, most day-to-day retrieval and summarization needs are well-served by this Flash-tier model. It provides the stability and speed necessary to keep your MVP lean, and its native support for multimodal inputs opens the door to richer document analysis in the future without needing to switch providers or overhaul your current RAG infrastructure.

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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