Gemini 3.8 Flash Pricing for Gaming NPC Dialogue: 500K Daily

Complete Analysis: 800,000 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
$0.332813 (rounded ~ $0.33) Total Cost
800,000 Total Tokens
41 minutes, 57.83 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
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

$0.332813 Total Cost
$0.046875 Input Cost
$0.281250 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
800,000Total Tokens
$0.000416Cost per 1K
2,403,756Tokens per $

📊 Advanced Cost Breakdown

Processing Speed

41m 57s 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

$0.332813 (rounded ~ $0.33)
Total Cost
⚡ 50% 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) $0.375000 (rounded ~ $0.38) Input: $0.093750 (rounded ~ $0.09)
Output: $0.281250 (rounded ~ $0.28)
Optimized Cost $0.332813 (rounded ~ $0.33) Input: $0.093750 (rounded ~ $0.09)
Output: $0.281250 (rounded ~ $0.28)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.042188 (rounded ~ $0.04) 11.3% 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 300,000 output tokens:

  • Input Cost: $0.093750 (rounded ~ $0.09)
  • Output Cost: $0.281250 (rounded ~ $0.28)
  • Total Cost: $0.332813 (rounded ~ $0.33)
  • Cost per 1K tokens: $0.000416
  • Tokens per dollar: 2,403,756 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: 41 minutes, 57.83 seconds
  • Latency: 105 milliseconds to first token
  • Base Throughput: 340 tokens/second
  • Effective Throughput: 318 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for high-volumelow-latency NPC dialogue generation where speed and multimodal understanding are critical.

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✨ Market Recommendations AI Model Registry

← Back to Gemini 3.8 Flash
📋 Active Input Parameters
Input Tokens: 500,000
Output Tokens: 300,000
Batch API: Enabled (50% discount)
Cached Tokens: 50%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Gemini 3.8 Flash
🏆 GPT-5.6 Luna
OpenAI
 $0.103750 (rounded ~ $0.10) Best Value ↓ 68.8% cheaper
🥈 Gemini 3.1 Flash Lite
Google
 $0.129688 ↓ 61% cheaper
🥉 GPT-6 Luna
OpenAI
 $0.140000 ↓ 57.9% cheaper
#4 Gemini 3.5 Flash-Lite
Google
 $0.208125 (rounded ~ $0.21) ↓ 37.5% cheaper
#5 Gemini 2.5 Flash
Google
 $0.208125 (rounded ~ $0.21) ↓ 37.5% cheaper
#6 Gemini 3.6 Flash
Google
 $0.332813 (rounded ~ $0.33) Same price
#7 Mistral Large 4
Mistral AI
 $0.407000 (rounded ~ $0.41) ↑ 22.3% more
#8 Claude Haiku 5.5
Anthropic
 $0.443750 (rounded ~ $0.44) ↑ 33.3% more
#9 Claude Sonnet 5.5
Anthropic
 $0.881250 (rounded ~ $0.88) ↑ 164.8% more
#10 Claude Sonnet 5
Anthropic
 $0.887500 (rounded ~ $0.89) ↑ 166.7% more
#11 Gemini 4 Argon
Google
 $0.887500 (rounded ~ $0.89) ↑ 166.7% more
#12 Gemini 3.1 Flash
Google
 $1.037500 (rounded ~ $1.04) ↑ 211.7% more
#13 GPT-5.6 Terra
OpenAI
 $1.037500 (rounded ~ $1.04) ↑ 211.7% more
#14 Claude Sonnet 4.6
Anthropic
 $1.331250 (rounded ~ $1.33) ↑ 300% more
#15 Grok 4.3
xAI
 $1.750000 ↑ 425.8% more
#16 Grok 4.20 Beta
xAI
 $1.750000 ↑ 425.8% more
#17 Claude Opus 5.5
Anthropic
 $1.762500 (rounded ~ $1.76) ↑ 429.6% more
#18 GPT-5.6 Sol
OpenAI
 $1.775000 (rounded ~ $1.78) ↑ 433.3% more
#19 Claude Opus 4.7
Anthropic
 $2.218750 (rounded ~ $2.22) ↑ 566.7% more
#20 Claude Opus 5
Anthropic
 $2.218750 (rounded ~ $2.22) ↑ 566.7% more
#21 Claude Opus 4.8
Anthropic
 $2.218750 (rounded ~ $2.22) ↑ 566.7% more
#22 Claude Opus 4.6
Anthropic
 $2.218750 (rounded ~ $2.22) ↑ 566.7% more
#23 Gemini 2.5 Pro
Google
 $2.593750 (rounded ~ $2.59) ↑ 679.3% more
#24 GPT-6.1 Sol
OpenAI
 $2.800000 ↑ 741.3% more
#25 GPT-6 Sol
OpenAI
 $2.800000 ↑ 741.3% more
#26 Gemini 3.1 Pro
Google
 $3.250000 ↑ 876.5% more
#27 GPT-5.4
OpenAI
 $4.062500 (rounded ~ $4.06) ↑ 1120.7% more
#28 GPT-5.4 Thinking
OpenAI
 $4.062500 (rounded ~ $4.06) ↑ 1120.7% more
#29 Claude Fable 5.1
Anthropic
 $4.390625 ↑ 1219.2% more
#30 Claude Mythos 5.1
Anthropic
 $4.390625 ↑ 1219.2% more
#31 Claude Fable 5
Anthropic
 $4.437500 (rounded ~ $4.44) ↑ 1233.3% more
#32 Claude Mythos 5
Anthropic
 $4.437500 (rounded ~ $4.44) ↑ 1233.3% more
#33 GPT-5.5
OpenAI
 $8.125000 (rounded ~ $8.13) ↑ 2341.3% more
#34 GPT-6 Astra
OpenAI
 $17.750000 ↑ 5233.3% more
#35 GPT-6 Astra
OpenAI
 $17.750000 ↑ 5233.3% more
🏆

GPT-5.6 Luna
OpenAI

$0.103750 (rounded ~ $0.10)
vs Gemini 3.8 Flash: ↓ 68.8%
🥈

Gemini 3.1 Flash Lite
Google

$0.129688
vs Gemini 3.8 Flash: ↓ 61%
🥉

GPT-6 Luna
OpenAI

$0.140000
vs Gemini 3.8 Flash: ↓ 57.9%
#4

Gemini 3.5 Flash-Lite
Google

$0.208125 (rounded ~ $0.21)
vs Gemini 3.8 Flash: ↓ 37.5%
#5

Gemini 2.5 Flash
Google

$0.208125 (rounded ~ $0.21)
vs Gemini 3.8 Flash: ↓ 37.5%
#6

Gemini 3.6 Flash
Google

$0.332813 (rounded ~ $0.33)
vs Gemini 3.8 Flash: Same
#7

Mistral Large 4
Mistral AI

$0.407000 (rounded ~ $0.41)
vs Gemini 3.8 Flash: ↑ 22.3%
#8

Claude Haiku 5.5
Anthropic

$0.443750 (rounded ~ $0.44)
vs Gemini 3.8 Flash: ↑ 33.3%
#9

Claude Sonnet 5.5
Anthropic

$0.881250 (rounded ~ $0.88)
vs Gemini 3.8 Flash: ↑ 164.8%
#10

Claude Sonnet 5
Anthropic

$0.887500 (rounded ~ $0.89)
vs Gemini 3.8 Flash: ↑ 166.7%
#11

Gemini 4 Argon
Google

$0.887500 (rounded ~ $0.89)
vs Gemini 3.8 Flash: ↑ 166.7%
#12

Gemini 3.1 Flash
Google

$1.037500 (rounded ~ $1.04)
vs Gemini 3.8 Flash: ↑ 211.7%
#13

GPT-5.6 Terra
OpenAI

$1.037500 (rounded ~ $1.04)
vs Gemini 3.8 Flash: ↑ 211.7%
#14

Claude Sonnet 4.6
Anthropic

$1.331250 (rounded ~ $1.33)
vs Gemini 3.8 Flash: ↑ 300%
#15

Grok 4.3
xAI

$1.750000
vs Gemini 3.8 Flash: ↑ 425.8%
#16

Grok 4.20 Beta
xAI

$1.750000
vs Gemini 3.8 Flash: ↑ 425.8%
#17

Claude Opus 5.5
Anthropic

$1.762500 (rounded ~ $1.76)
vs Gemini 3.8 Flash: ↑ 429.6%
#18

GPT-5.6 Sol
OpenAI

$1.775000 (rounded ~ $1.78)
vs Gemini 3.8 Flash: ↑ 433.3%
#19

Claude Opus 4.7
Anthropic

$2.218750 (rounded ~ $2.22)
vs Gemini 3.8 Flash: ↑ 566.7%
#20

Claude Opus 5
Anthropic

$2.218750 (rounded ~ $2.22)
vs Gemini 3.8 Flash: ↑ 566.7%
#21

Claude Opus 4.8
Anthropic

$2.218750 (rounded ~ $2.22)
vs Gemini 3.8 Flash: ↑ 566.7%
#22

Claude Opus 4.6
Anthropic

$2.218750 (rounded ~ $2.22)
vs Gemini 3.8 Flash: ↑ 566.7%
#23

Gemini 2.5 Pro
Google

$2.593750 (rounded ~ $2.59)
vs Gemini 3.8 Flash: ↑ 679.3%
#24

GPT-6.1 Sol
OpenAI

$2.800000
vs Gemini 3.8 Flash: ↑ 741.3%
#25

GPT-6 Sol
OpenAI

$2.800000
vs Gemini 3.8 Flash: ↑ 741.3%
#26

Gemini 3.1 Pro
Google

$3.250000
vs Gemini 3.8 Flash: ↑ 876.5%
#27

GPT-5.4
OpenAI

$4.062500 (rounded ~ $4.06)
vs Gemini 3.8 Flash: ↑ 1120.7%
#28

GPT-5.4 Thinking
OpenAI

$4.062500 (rounded ~ $4.06)
vs Gemini 3.8 Flash: ↑ 1120.7%
#29

Claude Fable 5.1
Anthropic

$4.390625
vs Gemini 3.8 Flash: ↑ 1219.2%
#30

Claude Mythos 5.1
Anthropic

$4.390625
vs Gemini 3.8 Flash: ↑ 1219.2%
#31

Claude Fable 5
Anthropic

$4.437500 (rounded ~ $4.44)
vs Gemini 3.8 Flash: ↑ 1233.3%
#32

Claude Mythos 5
Anthropic

$4.437500 (rounded ~ $4.44)
vs Gemini 3.8 Flash: ↑ 1233.3%
#33

GPT-5.5
OpenAI

$8.125000 (rounded ~ $8.13)
vs Gemini 3.8 Flash: ↑ 2341.3%
#34

GPT-6 Astra
OpenAI

$17.750000
vs Gemini 3.8 Flash: ↑ 5233.3%
#35

GPT-6 Astra
OpenAI

$17.750000
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.

Optimizing Real-Time NPC Interactions

For indie developers, the challenge of creating immersive, dynamic NPC dialogue lies in balancing character consistency with the computational demands of high-frequency interaction. When you are managing a pipeline of personalized emails or conversational game assets at a scale of 500,000 tokens daily, efficiency becomes the primary concern. Gemini 3.8 Flash offers a compelling balance for this use case, providing low-latency responses that are critical for maintaining the illusion of a living, breathing game world.

Unlike heavier models that might introduce noticeable delay—potentially breaking player immersion—this model is designed specifically for rapid generation. Its architecture excels at processing the concise, context-heavy inputs often found in game dialogue trees or automated NPC-player messaging systems. By leveraging its reasoning capabilities, developers can ensure that NPCs not only respond quickly but also maintain coherent long-term memory of player actions without succumbing to the hallucinations often seen in smaller, less capable models.

Choosing this model is particularly beneficial when your game relies on multimodal inputs, allowing the system to interpret visual game state data alongside textual history. For indie teams operating within tight budgets, the focus should remain on performance-per-token efficiency. This allows you to scale your NPC populations without sacrificing the quality of interaction or the depth of the narrative. When evaluating your daily token volume, consider how the model’s speed directly impacts your infrastructure overhead, ensuring that your automated systems remain both responsive and sustainable for the long term.

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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