Gemini 3.5 Flash Cost for 500K-Token Video Scene Descriptions

Complete Analysis: 502,000 tokens for Gemini 3.5 Flash
⚡ 50% Cached

Complete analysis of pricing, performance, and use cases for Google's Gemini 3.5 Flash model with 50% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
$0.107625 (rounded ~ $0.11) Total Cost
502,000 Total Tokens
10 minutes, 20.30 seconds Processing Time
810 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)
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

$0.107625 Total Cost
$0.093750 Input Cost
$0.004500 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
502,000Total Tokens
$0.000214Cost per 1K
4,664,344Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

10m 20s Processing Time
850 Tokens/Second
90ms Time to First Token
810 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

$0.107625 (rounded ~ $0.11)
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) $0.192000 (rounded ~ $0.19) Input: $0.187500 (rounded ~ $0.19)
Output: $0.004500
Optimized Cost $0.107625 (rounded ~ $0.11) Input: $0.187500 (rounded ~ $0.19)
Output: $0.004500
Unit: $0.000000
Fees: $0.000000
Total Savings $0.084375 (rounded ~ $0.08) 43.9% 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 2,000 output tokens:

  • Input Cost: $0.187500 (rounded ~ $0.19)
  • Output Cost: $0.004500
  • Total Cost: $0.107625 (rounded ~ $0.11)
  • Cost per 1K tokens: $0.000214
  • Tokens per dollar: 4,664,344 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: 10 minutes, 20.30 seconds
  • Latency: 90 milliseconds to first token
  • Base Throughput: 850 tokens/second
  • Effective Throughput: 810 tokens/second (temperature-adjusted)

Best Use Cases

Perfect for rapidmultimodal scene-to-text conversion and large-scale video data analysis in UX research pipelines.

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✨ Market Recommendations AI Model Registry

← Back to Gemini 3.5 Flash
📋 Active Input Parameters
Input Tokens: 500,000
Output Tokens: 2,000
Batch API: Enabled (50% discount)
Cached Tokens: 50%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Gemini 3.5 Flash
🏆 Gemini 3.1 Flash Lite
Google
 $0.017938 (rounded ~ $0.02) Best Value ↓ 83.3% cheaper
🥈 Gemini 2.5 Flash
Google
 $0.021875 (rounded ~ $0.02) ↓ 79.7% cheaper
🥉 Grok 4.3
xAI
 $0.087188 (rounded ~ $0.09) ↓ 19% cheaper
#4 Grok 4.20 Beta
xAI
 $0.140500 ↑ 30.5% more
#5 Gemini 3.1 Flash
Google
 $0.143500 (rounded ~ $0.14) ↑ 33.3% more
#6 Claude Sonnet 4.6
Anthropic
 $0.213750 (rounded ~ $0.21) ↑ 98.6% more
#7 Claude Opus 4.7
Anthropic
 $0.356250 (rounded ~ $0.36) ↑ 231% more
#8 Claude Opus 4.8
Anthropic
 $0.356250 (rounded ~ $0.36) ↑ 231% more
#9 Claude Opus 4.6
Anthropic
 $0.356250 (rounded ~ $0.36) ↑ 231% more
#10 Gemini 2.5 Pro
Google
 $0.358750 (rounded ~ $0.36) ↑ 233.3% more
#11 Gemini 3.1 Pro
Google
 $0.568000 (rounded ~ $0.57) ↑ 427.8% more
#12 GPT-5.4
OpenAI
 $0.710000 ↑ 559.7% more
#13 GPT-5.4 Thinking
OpenAI
 $0.710000 ↑ 559.7% more
#14 GPT-5.5
OpenAI
 $1.420000 ↑ 1219.4% more
#15 GPT-5.5
OpenAI
 $1.420000 ↑ 1219.4% more
🏆

Gemini 3.1 Flash Lite
Google

$0.017938 (rounded ~ $0.02)
vs Gemini 3.5 Flash: ↓ 83.3%
🥈

Gemini 2.5 Flash
Google

$0.021875 (rounded ~ $0.02)
vs Gemini 3.5 Flash: ↓ 79.7%
🥉

Grok 4.3
xAI

$0.087188 (rounded ~ $0.09)
vs Gemini 3.5 Flash: ↓ 19%
#4

Grok 4.20 Beta
xAI

$0.140500
vs Gemini 3.5 Flash: ↑ 30.5%
#5

Gemini 3.1 Flash
Google

$0.143500 (rounded ~ $0.14)
vs Gemini 3.5 Flash: ↑ 33.3%
#6

Claude Sonnet 4.6
Anthropic

$0.213750 (rounded ~ $0.21)
vs Gemini 3.5 Flash: ↑ 98.6%
#7

Claude Opus 4.7
Anthropic

$0.356250 (rounded ~ $0.36)
vs Gemini 3.5 Flash: ↑ 231%
#8

Claude Opus 4.8
Anthropic

$0.356250 (rounded ~ $0.36)
vs Gemini 3.5 Flash: ↑ 231%
#9

Claude Opus 4.6
Anthropic

$0.356250 (rounded ~ $0.36)
vs Gemini 3.5 Flash: ↑ 231%
#10

Gemini 2.5 Pro
Google

$0.358750 (rounded ~ $0.36)
vs Gemini 3.5 Flash: ↑ 233.3%
#11

Gemini 3.1 Pro
Google

$0.568000 (rounded ~ $0.57)
vs Gemini 3.5 Flash: ↑ 427.8%
#12

GPT-5.4
OpenAI

$0.710000
vs Gemini 3.5 Flash: ↑ 559.7%
#13

GPT-5.4 Thinking
OpenAI

$0.710000
vs Gemini 3.5 Flash: ↑ 559.7%
#14

GPT-5.5
OpenAI

$1.420000
vs Gemini 3.5 Flash: ↑ 1219.4%
#15

GPT-5.5
OpenAI

$1.420000
vs Gemini 3.5 Flash: ↑ 1219.4%
✨ 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.

Optimizing Scene-to-Text Workflows

For UX designers synthesizing large volumes of video data into actionable storyboard descriptions, Gemini 3.5 Flash has emerged as a high-efficiency workhorse. When you are processing long-form user testing sessions or raw interview footage to extract key scenes, the model’s multimodal capability to directly “watch” and analyze video streams is a transformative efficiency boost.

Unlike text-only models that rely on inferred metadata or shaky auto-generated transcripts, Gemini 3.5 Flash can extract nuanced visual information—such as user emotions, interface interactions, and environmental context—directly from the source. This ensures that your scene descriptions are grounded in the actual user experience, providing a stronger foundation for persona generation and journey mapping. The 1 million-token context window is particularly valuable here, allowing you to feed in extensive video assets without hitting the fragmentation issues common in smaller models.

For small teams or indie hackers working with high-volume video archives, this model provides the necessary scale to handle thousands of frames with minimal latency. By offloading the initial description phase to a multimodal model, you free up critical cognitive load to focus on higher-level design synthesis. Whether you are documenting usability findings or outlining narrative beats for a video project, Gemini 3.5 Flash offers the best balance of speed, multimodal comprehension, and cost-effectiveness for scaling your video research pipeline.

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.