Gemini 3.5 Flash: 200K-Token Monthly Budget for Healthcare Scripts

Complete Analysis: 208,000 tokens for Gemini 3.5 Flash
⚡ 20% Cached

Complete analysis of pricing, performance, and use cases for Google's Gemini 3.5 Flash model with 20% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
$0.079500 Total Cost
208,000 Total Tokens
4 minutes, 22.02 seconds Processing Time
794 Effective Tokens/Sec

Click Recalculate to update after making changes

Select AI Model

Gemini 3.5 Flash
GoogleMax Context: 1,000,000 tokens
$1.5 / $9 per 1M tokens
▼
▼
Use Batch API (50% discount)
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

$0.079500 Total Cost
$0.060000 Input Cost
$0.018000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
208,000Total Tokens
$0.000382Cost per 1K
2,616,352Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

4m 22s Processing Time
850 Tokens/Second
90ms Time to First Token
794 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
Enable 6.0x Fast Mode multiplier
📚 Research & Citations
Enable $1.00/$4.00 rates + $10.00/1k search
Enable research tier pricing
Fee per source cited
🎤 Realtime Audio & Video
Session length for billing

Gemini 3.5 Flash Google 1000000

$0.079500
Total Cost
⚡ 20% 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) $0.093000 (rounded ~ $0.09) Input: $0.075000 (rounded ~ $0.08)
Output: $0.018000 (rounded ~ $0.02)
Optimized Cost $0.079500 Input: $0.075000 (rounded ~ $0.08)
Output: $0.018000 (rounded ~ $0.02)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.013500 (rounded ~ $0.01) 14.5% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 200,000 input tokens and 8,000 output tokens:

  • Input Cost: $0.075000 (rounded ~ $0.08)
  • Output Cost: $0.018000 (rounded ~ $0.02)
  • Total Cost: $0.079500
  • Cost per 1K tokens: $0.000382
  • Tokens per dollar: 2,616,352 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 850 tokens per second and 90ms time to first token:

  • Processing Time: 4 minutes, 22.02 seconds
  • Latency: 90 milliseconds to first token
  • Base Throughput: 850 tokens/second
  • Effective Throughput: 794 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for scalabledata-heavy content pipelines where scripts must integrate with visual clinical data and automated research.

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✨ Market Recommendations AI Model Registry

← Back to Gemini 3.5 Flash
📋 Active Input Parameters
Input Tokens: 200,000
Output Tokens: 8,000
Batch API: Enabled (50% discount)
Cached Tokens: 20%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Gemini 3.5 Flash
🏆 Gemini 3.1 Flash Lite
Google
 $0.013250 (rounded ~ $0.01) Best Value ↓ 83.3% cheaper
🥈 Gemini 3.5 Flash-Lite
Google
 $0.017300 (rounded ~ $0.02) ↓ 78.2% cheaper
🥉 Gemini 2.5 Flash
Google
 $0.017300 (rounded ~ $0.02) ↓ 78.2% cheaper
#4 Mistral Large 3
Mistral AI
 $0.023500 (rounded ~ $0.02) ↓ 70.4% cheaper
#5 Gemini 3.8 Flash
Google
 $0.038250 (rounded ~ $0.04) ↓ 51.9% cheaper
#6 GPT-5.4 mini
OpenAI
 $0.039750 ↓ 50% cheaper
#7 Claude Haiku 4.5
Anthropic
 $0.051000 (rounded ~ $0.05) ↓ 35.8% cheaper
#8 GPT-5.6 Luna
OpenAI
 $0.053000 (rounded ~ $0.05) ↓ 33.3% cheaper
#9 Gemini 3.6 Flash
Google
 $0.076500 (rounded ~ $0.08) ↓ 3.8% cheaper
#10 Claude Sonnet 5
Anthropic
 $0.102000 (rounded ~ $0.10) ↑ 28.3% more
#11 Gemini 3.1 Flash
Google
 $0.106000 (rounded ~ $0.11) ↑ 33.3% more
#12 GPT-5.6 Terra
OpenAI
 $0.132500 (rounded ~ $0.13) ↑ 66.7% more
#13 Claude Sonnet 4.6
Anthropic
 $0.153000 (rounded ~ $0.15) ↑ 92.5% more
#14 Claude Opus 4.7
Anthropic
 $0.255000 (rounded ~ $0.26) ↑ 220.8% more
#15 Claude Opus 5
Anthropic
 $0.255000 (rounded ~ $0.26) ↑ 220.8% more
#16 Claude Opus 4.8
Anthropic
 $0.255000 (rounded ~ $0.26) ↑ 220.8% more
#17 Claude Opus 4.6
Anthropic
 $0.255000 (rounded ~ $0.26) ↑ 220.8% more
#18 GPT-5.4
OpenAI
 $0.265000 (rounded ~ $0.27) ↑ 233.3% more
#19 GPT-5.4 Thinking
OpenAI
 $0.265000 (rounded ~ $0.27) ↑ 233.3% more
#20 Gemini 2.5 Pro
Google
 $0.265000 (rounded ~ $0.27) ↑ 233.3% more
#21 GPT-5.5 Instant
OpenAI
 $0.265000 (rounded ~ $0.27) ↑ 233.3% more
#22 GPT-5.6 Sol
OpenAI
 $0.265000 (rounded ~ $0.27) ↑ 233.3% more
#23 Grok 4.3
xAI
 $0.360000 ↑ 352.8% more
#24 Grok 4.20 Beta
xAI
 $0.360000 ↑ 352.8% more
#25 Gemini 3.1 Pro
Google
 $0.400000 ↑ 403.1% more
#26 Claude Fable 5.1
Anthropic
 $0.502500 (rounded ~ $0.50) ↑ 532.1% more
#27 Claude Mythos 5.1
Anthropic
 $0.502500 (rounded ~ $0.50) ↑ 532.1% more
#28 Claude Fable 5
Anthropic
 $0.510000 ↑ 541.5% more
#29 Claude Mythos 5
Anthropic
 $0.510000 ↑ 541.5% more
#30 GPT-5.5
OpenAI
 $1.000000 ↑ 1157.9% more
#31 GPT-6 Astra
OpenAI
 $2.040000 ↑ 2466% more
#32 GPT-6 Astra
OpenAI
 $2.040000 ↑ 2466% more
🏆

Gemini 3.1 Flash Lite
Google

$0.013250 (rounded ~ $0.01)
vs Gemini 3.5 Flash: ↓ 83.3%
🥈

Gemini 3.5 Flash-Lite
Google

$0.017300 (rounded ~ $0.02)
vs Gemini 3.5 Flash: ↓ 78.2%
🥉

Gemini 2.5 Flash
Google

$0.017300 (rounded ~ $0.02)
vs Gemini 3.5 Flash: ↓ 78.2%
#4

Mistral Large 3
Mistral AI

$0.023500 (rounded ~ $0.02)
vs Gemini 3.5 Flash: ↓ 70.4%
#5

Gemini 3.8 Flash
Google

$0.038250 (rounded ~ $0.04)
vs Gemini 3.5 Flash: ↓ 51.9%
#6

GPT-5.4 mini
OpenAI

$0.039750
vs Gemini 3.5 Flash: ↓ 50%
#7

Claude Haiku 4.5
Anthropic

$0.051000 (rounded ~ $0.05)
vs Gemini 3.5 Flash: ↓ 35.8%
#8

GPT-5.6 Luna
OpenAI

$0.053000 (rounded ~ $0.05)
vs Gemini 3.5 Flash: ↓ 33.3%
#9

Gemini 3.6 Flash
Google

$0.076500 (rounded ~ $0.08)
vs Gemini 3.5 Flash: ↓ 3.8%
#10

Claude Sonnet 5
Anthropic

$0.102000 (rounded ~ $0.10)
vs Gemini 3.5 Flash: ↑ 28.3%
#11

Gemini 3.1 Flash
Google

$0.106000 (rounded ~ $0.11)
vs Gemini 3.5 Flash: ↑ 33.3%
#12

GPT-5.6 Terra
OpenAI

$0.132500 (rounded ~ $0.13)
vs Gemini 3.5 Flash: ↑ 66.7%
#13

Claude Sonnet 4.6
Anthropic

$0.153000 (rounded ~ $0.15)
vs Gemini 3.5 Flash: ↑ 92.5%
#14

Claude Opus 4.7
Anthropic

$0.255000 (rounded ~ $0.26)
vs Gemini 3.5 Flash: ↑ 220.8%
#15

Claude Opus 5
Anthropic

$0.255000 (rounded ~ $0.26)
vs Gemini 3.5 Flash: ↑ 220.8%
#16

Claude Opus 4.8
Anthropic

$0.255000 (rounded ~ $0.26)
vs Gemini 3.5 Flash: ↑ 220.8%
#17

Claude Opus 4.6
Anthropic

$0.255000 (rounded ~ $0.26)
vs Gemini 3.5 Flash: ↑ 220.8%
#18

GPT-5.4
OpenAI

$0.265000 (rounded ~ $0.27)
vs Gemini 3.5 Flash: ↑ 233.3%
#19

GPT-5.4 Thinking
OpenAI

$0.265000 (rounded ~ $0.27)
vs Gemini 3.5 Flash: ↑ 233.3%
#20

Gemini 2.5 Pro
Google

$0.265000 (rounded ~ $0.27)
vs Gemini 3.5 Flash: ↑ 233.3%
#21

GPT-5.5 Instant
OpenAI

$0.265000 (rounded ~ $0.27)
vs Gemini 3.5 Flash: ↑ 233.3%
#22

GPT-5.6 Sol
OpenAI

$0.265000 (rounded ~ $0.27)
vs Gemini 3.5 Flash: ↑ 233.3%
#23

Grok 4.3
xAI

$0.360000
vs Gemini 3.5 Flash: ↑ 352.8%
#24

Grok 4.20 Beta
xAI

$0.360000
vs Gemini 3.5 Flash: ↑ 352.8%
#25

Gemini 3.1 Pro
Google

$0.400000
vs Gemini 3.5 Flash: ↑ 403.1%
#26

Claude Fable 5.1
Anthropic

$0.502500 (rounded ~ $0.50)
vs Gemini 3.5 Flash: ↑ 532.1%
#27

Claude Mythos 5.1
Anthropic

$0.502500 (rounded ~ $0.50)
vs Gemini 3.5 Flash: ↑ 532.1%
#28

Claude Fable 5
Anthropic

$0.510000
vs Gemini 3.5 Flash: ↑ 541.5%
#29

Claude Mythos 5
Anthropic

$0.510000
vs Gemini 3.5 Flash: ↑ 541.5%
#30

GPT-5.5
OpenAI

$1.000000
vs Gemini 3.5 Flash: ↑ 1157.9%
#31

GPT-6 Astra
OpenAI

$2.040000
vs Gemini 3.5 Flash: ↑ 2466%
#32

GPT-6 Astra
OpenAI

$2.040000
vs Gemini 3.5 Flash: ↑ 2466%
✨ 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.

Healthcare administrators tasked with maintaining a steady stream of clinical video content often face the challenge of balancing quality with volume. Gemini 3.5 Flash is designed specifically for these high-throughput, agentic workflows, offering a unique capability to handle long-horizon tasks at scale. For script production, this model stands out due to its ability to process massive amounts of clinical reference material, such as internal guidelines or patient safety protocols, and integrate that data directly into the scriptwriting process.

Unlike traditional text-focused models, Gemini 3.5 Flash excels in multimodal environments, which can be a game-changer if your video scripts require referencing visual diagnostic data or clinical charts. Its architecture supports parallel processing, making it highly effective for teams that need to generate various script iterations simultaneously. The model is particularly well-suited for organizations that view content production as part of a broader, automated documentation pipeline, as it integrates seamlessly with existing agentic developer workflows.

By leveraging its advanced reasoning and multimodal inputs, you can automate parts of the fact-checking process, ensuring that clinical scripts are not just creative but also grounded in current medical evidence. If your healthcare organization aims to build a robust, scalable video content engine that extends beyond simple text generation, Gemini 3.5 Flash provides the necessary infrastructure to handle complex, data-heavy content requests with speed and precision.

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 3.5 Flash currently costs $1.50 / $9.00 per 1M tokens. These are the models worth pricing against it, taken live from the tracked registry.

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