Gemini 3.8 Flash Pricing: Cost per 200K Tokens for Live Chat

Complete Analysis: 200,500 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)
$0.084375 (rounded ~ $0.08) Total Cost
200,500 Total Tokens
10 minutes, 31.17 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

$0.084375 Total Cost
$0.075000 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
200,500Total Tokens
$0.000421Cost per 1K
2,376,296Tokens per $

📊 Advanced Cost Breakdown

Processing Speed

10m 31s 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

$0.084375 (rounded ~ $0.08)
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) $0.151875 (rounded ~ $0.15) Input: $0.150000
Output: $0.001875
Optimized Cost $0.084375 (rounded ~ $0.08) Input: $0.150000
Output: $0.001875
Unit: $0.000000
Fees: $0.000000
Total Savings $0.067500 (rounded ~ $0.07) 44.4% discount

Detailed Cost Analysis (from Plugin)

For 200,000 input tokens and 500 output tokens:

  • Input Cost: $0.150000
  • Output Cost: $0.001875
  • Total Cost: $0.084375 (rounded ~ $0.08)
  • Cost per 1K tokens: $0.000421
  • Tokens per dollar: 2,376,296 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: 10 minutes, 31.17 seconds
  • Latency: 105 milliseconds to first token
  • Base Throughput: 340 tokens/second
  • Effective Throughput: 318 tokens/second (temperature-adjusted)

Best Use Cases

High-volume customer support chat where speed and multimodal handling are critical.

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✨ Market Recommendations AI Model Registry

← Back to Gemini 3.8 Flash
📋 Active Input Parameters
Input Tokens: 200,000
Output Tokens: 500
Cached Tokens: 50%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Gemini 3.8 Flash
🏆 GPT-6 Luna
OpenAI
 $0.011250 (rounded ~ $0.01) Best Value ↓ 86.7% cheaper
🥈 GPT-5.6 Luna
OpenAI
 $0.022600 (rounded ~ $0.02) ↓ 73.2% cheaper
🥉 Grok Code Fast 1
xAI
 $0.022750 (rounded ~ $0.02) ↓ 73% cheaper
#4 Gemini 3.1 Flash Lite
Google
 $0.028250 (rounded ~ $0.03) ↓ 66.5% cheaper
#5 Gemini 3.5 Flash-Lite
Google
 $0.034250 (rounded ~ $0.03) ↓ 59.4% cheaper
#6 Gemini 2.5 Flash
Google
 $0.034250 (rounded ~ $0.03) ↓ 59.4% cheaper
#7 Mistral Large 3
Mistral AI
 $0.055750 (rounded ~ $0.06) ↓ 33.9% cheaper
#8 Claude Haiku 5.5
Anthropic
 $0.056250 (rounded ~ $0.06) ↓ 33.3% cheaper
#9 Gemini 3.1 Flash
Google
 $0.056500 (rounded ~ $0.06) ↓ 33% cheaper
#10 Gemini 3.6 Flash
Google
 $0.084375 (rounded ~ $0.08) Same price
#11 GPT-5.4 mini
OpenAI
 $0.084750 (rounded ~ $0.08) ↑ 0.4% more
#12 Grok Build 0.1
xAI
 $0.111000 (rounded ~ $0.11) ↑ 31.6% more
#13 Claude Haiku 4.5
Anthropic
 $0.112500 (rounded ~ $0.11) ↑ 33.3% more
#14 Grok 4.3
xAI
 $0.138750 (rounded ~ $0.14) ↑ 64.4% more
#15 Grok 4.20 Beta
xAI
 $0.138750 (rounded ~ $0.14) ↑ 64.4% more
#16 Gemini 2.5 Pro
Google
 $0.142500 (rounded ~ $0.14) ↑ 68.9% more
#17 Mistral Large 4
Mistral AI
 $0.151690 (rounded ~ $0.15) ↑ 79.8% more
#18 Claude Sonnet 5.5
Anthropic
 $0.215000 (rounded ~ $0.22) ↑ 154.8% more
#19 Grok 4.7
xAI
 $0.223000 (rounded ~ $0.22) ↑ 164.3% more
#20 Grok 4.6
xAI
 $0.223000 (rounded ~ $0.22) ↑ 164.3% more
#21 Grok 4.5
xAI
 $0.223000 (rounded ~ $0.22) ↑ 164.3% more
#22 Gemini 4 Argon
Google
 $0.225000 (rounded ~ $0.23) ↑ 166.7% more
#23 GPT-6.1 Sol
OpenAI
 $0.225000 (rounded ~ $0.23) ↑ 166.7% more
#24 GPT-6 Sol
OpenAI
 $0.225000 (rounded ~ $0.23) ↑ 166.7% more
#25 Claude Sonnet 5
Anthropic
 $0.225000 (rounded ~ $0.23) ↑ 166.7% more
#26 Gemini 3.1 Pro
Google
 $0.226000 (rounded ~ $0.23) ↑ 167.9% more
#27 GPT-5.6 Terra
OpenAI
 $0.226000 (rounded ~ $0.23) ↑ 167.9% more
#28 Kimi K3.1 Pro
Moonshot AI
 $0.239000 ↑ 183.3% more
#29 GPT-5.4
OpenAI
 $0.282500 (rounded ~ $0.28) ↑ 234.8% more
#30 GPT-5.4 Thinking
OpenAI
 $0.282500 (rounded ~ $0.28) ↑ 234.8% more
#31 Claude Sonnet 4.6
Anthropic
 $0.337500 (rounded ~ $0.34) ↑ 300% more
#32 Kimi K3
Moonshot AI
 $0.358500 (rounded ~ $0.36) ↑ 324.9% more
#33 Claude Opus 5.5
Anthropic
 $0.430000 ↑ 409.6% more
#34 GPT-5.6 Sol
OpenAI
 $0.450000 ↑ 433.3% more
#35 Claude Opus 4.7
Anthropic
 $0.562500 (rounded ~ $0.56) ↑ 566.7% more
#36 Claude Opus 5
Anthropic
 $0.562500 (rounded ~ $0.56) ↑ 566.7% more
#37 Claude Opus 4.8
Anthropic
 $0.562500 (rounded ~ $0.56) ↑ 566.7% more
#38 Claude Opus 4.6
Anthropic
 $0.562500 (rounded ~ $0.56) ↑ 566.7% more
#39 GPT-5.5
OpenAI
 $0.565000 (rounded ~ $0.57) ↑ 569.6% more
#40 GPT-5.5 Instant
OpenAI
 $0.565000 (rounded ~ $0.57) ↑ 569.6% more
#41 Muse Wonder 1.0
Meta AI
 $0.810000 ↑ 860% more
#42 Claude Fable 5.1
Anthropic
 $1.050000 ↑ 1144.4% more
#43 Claude Mythos 5.1
Anthropic
 $1.050000 ↑ 1144.4% more
#44 Claude Fable 5
Anthropic
 $1.125000 (rounded ~ $1.13) ↑ 1233.3% more
#45 Claude Mythos 5
Anthropic
 $1.125000 (rounded ~ $1.13) ↑ 1233.3% more
#46 GPT-6 Astra
OpenAI
 $1.125000 (rounded ~ $1.13) ↑ 1233.3% more
#47 GPT-6 Astra
OpenAI
 $1.125000 (rounded ~ $1.13) ↑ 1233.3% more
🏆

GPT-6 Luna
OpenAI

$0.011250 (rounded ~ $0.01)
vs Gemini 3.8 Flash: ↓ 86.7%
🥈

GPT-5.6 Luna
OpenAI

$0.022600 (rounded ~ $0.02)
vs Gemini 3.8 Flash: ↓ 73.2%
🥉

Grok Code Fast 1
xAI

$0.022750 (rounded ~ $0.02)
vs Gemini 3.8 Flash: ↓ 73%
#4

Gemini 3.1 Flash Lite
Google

$0.028250 (rounded ~ $0.03)
vs Gemini 3.8 Flash: ↓ 66.5%
#5

Gemini 3.5 Flash-Lite
Google

$0.034250 (rounded ~ $0.03)
vs Gemini 3.8 Flash: ↓ 59.4%
#6

Gemini 2.5 Flash
Google

$0.034250 (rounded ~ $0.03)
vs Gemini 3.8 Flash: ↓ 59.4%
#7

Mistral Large 3
Mistral AI

$0.055750 (rounded ~ $0.06)
vs Gemini 3.8 Flash: ↓ 33.9%
#8

Claude Haiku 5.5
Anthropic

$0.056250 (rounded ~ $0.06)
vs Gemini 3.8 Flash: ↓ 33.3%
#9

Gemini 3.1 Flash
Google

$0.056500 (rounded ~ $0.06)
vs Gemini 3.8 Flash: ↓ 33%
#10

Gemini 3.6 Flash
Google

$0.084375 (rounded ~ $0.08)
vs Gemini 3.8 Flash: Same
#11

GPT-5.4 mini
OpenAI

$0.084750 (rounded ~ $0.08)
vs Gemini 3.8 Flash: ↑ 0.4%
#12

Grok Build 0.1
xAI

$0.111000 (rounded ~ $0.11)
vs Gemini 3.8 Flash: ↑ 31.6%
#13

Claude Haiku 4.5
Anthropic

$0.112500 (rounded ~ $0.11)
vs Gemini 3.8 Flash: ↑ 33.3%
#14

Grok 4.3
xAI

$0.138750 (rounded ~ $0.14)
vs Gemini 3.8 Flash: ↑ 64.4%
#15

Grok 4.20 Beta
xAI

$0.138750 (rounded ~ $0.14)
vs Gemini 3.8 Flash: ↑ 64.4%
#16

Gemini 2.5 Pro
Google

$0.142500 (rounded ~ $0.14)
vs Gemini 3.8 Flash: ↑ 68.9%
#17

Mistral Large 4
Mistral AI

$0.151690 (rounded ~ $0.15)
vs Gemini 3.8 Flash: ↑ 79.8%
#18

Claude Sonnet 5.5
Anthropic

$0.215000 (rounded ~ $0.22)
vs Gemini 3.8 Flash: ↑ 154.8%
#19

Grok 4.7
xAI

$0.223000 (rounded ~ $0.22)
vs Gemini 3.8 Flash: ↑ 164.3%
#20

Grok 4.6
xAI

$0.223000 (rounded ~ $0.22)
vs Gemini 3.8 Flash: ↑ 164.3%
#21

Grok 4.5
xAI

$0.223000 (rounded ~ $0.22)
vs Gemini 3.8 Flash: ↑ 164.3%
#22

Gemini 4 Argon
Google

$0.225000 (rounded ~ $0.23)
vs Gemini 3.8 Flash: ↑ 166.7%
#23

GPT-6.1 Sol
OpenAI

$0.225000 (rounded ~ $0.23)
vs Gemini 3.8 Flash: ↑ 166.7%
#24

GPT-6 Sol
OpenAI

$0.225000 (rounded ~ $0.23)
vs Gemini 3.8 Flash: ↑ 166.7%
#25

Claude Sonnet 5
Anthropic

$0.225000 (rounded ~ $0.23)
vs Gemini 3.8 Flash: ↑ 166.7%
#26

Gemini 3.1 Pro
Google

$0.226000 (rounded ~ $0.23)
vs Gemini 3.8 Flash: ↑ 167.9%
#27

GPT-5.6 Terra
OpenAI

$0.226000 (rounded ~ $0.23)
vs Gemini 3.8 Flash: ↑ 167.9%
#28

Kimi K3.1 Pro
Moonshot AI

$0.239000
vs Gemini 3.8 Flash: ↑ 183.3%
#29

GPT-5.4
OpenAI

$0.282500 (rounded ~ $0.28)
vs Gemini 3.8 Flash: ↑ 234.8%
#30

GPT-5.4 Thinking
OpenAI

$0.282500 (rounded ~ $0.28)
vs Gemini 3.8 Flash: ↑ 234.8%
#31

Claude Sonnet 4.6
Anthropic

$0.337500 (rounded ~ $0.34)
vs Gemini 3.8 Flash: ↑ 300%
#32

Kimi K3
Moonshot AI

$0.358500 (rounded ~ $0.36)
vs Gemini 3.8 Flash: ↑ 324.9%
#33

Claude Opus 5.5
Anthropic

$0.430000
vs Gemini 3.8 Flash: ↑ 409.6%
#34

GPT-5.6 Sol
OpenAI

$0.450000
vs Gemini 3.8 Flash: ↑ 433.3%
#35

Claude Opus 4.7
Anthropic

$0.562500 (rounded ~ $0.56)
vs Gemini 3.8 Flash: ↑ 566.7%
#36

Claude Opus 5
Anthropic

$0.562500 (rounded ~ $0.56)
vs Gemini 3.8 Flash: ↑ 566.7%
#37

Claude Opus 4.8
Anthropic

$0.562500 (rounded ~ $0.56)
vs Gemini 3.8 Flash: ↑ 566.7%
#38

Claude Opus 4.6
Anthropic

$0.562500 (rounded ~ $0.56)
vs Gemini 3.8 Flash: ↑ 566.7%
#39

GPT-5.5
OpenAI

$0.565000 (rounded ~ $0.57)
vs Gemini 3.8 Flash: ↑ 569.6%
#40

GPT-5.5 Instant
OpenAI

$0.565000 (rounded ~ $0.57)
vs Gemini 3.8 Flash: ↑ 569.6%
#41

Muse Wonder 1.0
Meta AI

$0.810000
vs Gemini 3.8 Flash: ↑ 860%
#42

Claude Fable 5.1
Anthropic

$1.050000
vs Gemini 3.8 Flash: ↑ 1144.4%
#43

Claude Mythos 5.1
Anthropic

$1.050000
vs Gemini 3.8 Flash: ↑ 1144.4%
#44

Claude Fable 5
Anthropic

$1.125000 (rounded ~ $1.13)
vs Gemini 3.8 Flash: ↑ 1233.3%
#45

Claude Mythos 5
Anthropic

$1.125000 (rounded ~ $1.13)
vs Gemini 3.8 Flash: ↑ 1233.3%
#46

GPT-6 Astra
OpenAI

$1.125000 (rounded ~ $1.13)
vs Gemini 3.8 Flash: ↑ 1233.3%
#47

GPT-6 Astra
OpenAI

$1.125000 (rounded ~ $1.13)
vs Gemini 3.8 Flash: ↑ 1233.3%
✨ 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 live customer chat, developers need a balance of speed and reliability. Gemini 3.8 Flash offers a high-throughput capability that excels at handling the rapid-fire turn-taking inherent in modern website chat sessions. Its native multimodal support means it can easily process user-submitted screenshots of interface issues or error messages alongside their text queries, providing a more comprehensive initial diagnosis without requiring extra conversion steps or separate pipeline calls.

For teams managing hundreds of concurrent sessions, the model provides consistent performance that keeps latency low, ensuring that the conversational flow remains natural for the user. While some models in the current landscape prioritize deep, multi-step reasoning which can introduce delays, Gemini’s focus here is on efficiency, responsiveness, and accurate context retention across extended conversations. This makes it a particularly strong choice for high-volume customer support environments where quick, accurate resolution is the primary operational goal.

Beyond simple text responses, the model’s ability to handle integrated audio and visual data allows for more advanced support scenarios, such as troubleshooting hardware issues via a live feed or transcribing customer-submitted voice clips. For developers prototyping these kinds of agentic workflows, the model’s predictable behavior and fast time-to-first-token make it a reliable workhorse. Choosing this model allows your team to focus on building the business logic of your support agents rather than worrying about the underlying infrastructure constraints often associated with slower, more reasoning-heavy alternatives.

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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