Podcast Transcription: Gemini 3.6 Flash vs 3.5 Flash-Lite for 1,000 Minutes

Gemini 3.6 Flash vs Gemini 3.5 Flash-Lite
Complete Comparison: 500,000 input tokens × 2,000 output tokens
Comparison Mode
🎧 1000min Audio ⚡ 20% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 1000min Audio, 20% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria Gemini 3.6 Flash
Google
Gemini 3.5 Flash-Lite
Google
Calculation Results (Current Inputs) (1000min audio, 20% cached)
Input Tokens 500,000 500,000
Output Tokens 2,000 2,000
Cost Breakdown
Input Cost $0.907500 (rounded ~ $0.91)Worst $0.181500 (rounded ~ $0.18)Best
Output Cost $0.003750Worst $0.001250Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.747900 (rounded ~ $0.75) Most Expensive $0.150080 Best Value
Processing Time 2 hours, 16 minutes, 46.30 seconds Slowest 1 hour, 58 minutes, 47.78 seconds Fastest
Tokens per Second 304Slowest 350Fastest
Time to First Token 120ms Worst 80ms Best
Cost per 1K tokens $0.000309Worst $0.000062Best
Tokens per Dollar 3,238,401Worst Value 16,138,060Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.375000 (rounded ~ $0.38)Worst $0.075000 (rounded ~ $0.08)Best
Output Cost / 1M (Base) $1.875000 (rounded ~ $1.88)Worst $0.625000 (rounded ~ $0.63)Best
Input Cost / 1M (Optimized) $0.187500 (rounded ~ $0.19)Worst
Optimizations: 50.0% batch
$0.037500 (rounded ~ $0.04)Best
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $0.937500 (rounded ~ $0.94)Worst
Optimizations: 50.0% batch
$0.312500 (rounded ~ $0.31)Best
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Video Support ✓ Supported ✗ Not Supported
Audio Support
1000
✓ Supported ✓ Supported
Caching Support
20
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
Scroll horizontally to see all data

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Second Model

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All other parameters will be preserved from the current comparison.

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ℹ️ Bulk Calculation: Total volume exceeds single-request limit of 1,048,576 tokens. Budgeting mode active.

Select AI Model

Gemini 3.6 Flash
GoogleMax Context: 1,048,576 tokens
$1.5 / $7.5 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.
Will auto-convert to minutes for Voxtral models (9000 tokens = 1 min)
$0.067 per 1,000 pixels

Calculate Token Costs

$0.747900 Total Cost
$0.726000 Input Cost
$0.003750 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
2,422,000Total Tokens
$0.000309Cost per 1K
3,238,401Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

136m 46s Processing Time
304 Tokens/Second
120ms Time to First Token
295 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
📊 Multiple Models Detected: This page contains data for 2 models. See the detailed comparison table above, and switch between models using tabs below.

Gemini 3.6 Flash Google 1048576

$0.747900 (rounded ~ $0.75)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,048,576 tokens. Budgeting mode active.
🎧 1000min Audio ⚡ 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) $0.911250 (rounded ~ $0.91) Input: $0.907500 (rounded ~ $0.91)
Output: $0.003750
Optimized Cost $0.747900 (rounded ~ $0.75) Input: $0.907500 (rounded ~ $0.91)
Output: $0.003750
Unit: $0.000000
Fees: $0.000000
Total Savings $0.163350 (rounded ~ $0.16) 17.9% discount

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
1,920,000 tokens
📊 Batch API
50.0% off
Asynchronous processing discount

Multimodal Input Details

🎧 Audio
Duration: 1000 minutes
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 500,000 input tokens and 2,000 output tokens:

  • Input Cost: $0.907500 (rounded ~ $0.91)
  • Output Cost: $0.003750
  • Total Cost: $0.747900 (rounded ~ $0.75)
  • Cost per 1K tokens: $0.000309
  • Tokens per dollar: 3,238,401 tokens
  • Context Window: 1048576 tokens

Speed & Performance Analysis

With a processing speed of 304 tokens per second and 120ms time to first token:

  • Processing Time: 2 hours, 16 minutes, 46.30 seconds
  • Latency: 120 milliseconds to first token
  • Base Throughput: 304 tokens/second
  • Effective Throughput: 295 tokens/second (temperature-adjusted)

Best Use Cases

Gemini 3.6 Flash for deep interview analysis; Gemini 3.5 Flash-Lite for high-volumecost-efficient screening.

Want this applied to YOUR actual stack?

This calculator shows the math for Gemini 3.6 Flash. Your decision needs more — current infrastructure, compliance requirements, actual workload patterns, volume tiers — that change which model is right for you.

Get a $39 personalized AI Architecture Audit. PDF tailored to your stack, delivered in under 60 seconds. 7-day no-questions-asked refund.

Get my instant AI audit — $39 →

Gemini 3.5 Flash-Lite Google 1048576

$0.150080
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,048,576 tokens. Budgeting mode active.
🎧 1000min Audio ⚡ 20% Cached 📊 Batch API 🔧 Tools
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✓ Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✓ Available
📄
OCR Support
✗ Not Available
📊
Batch API
✓ Available
⚡
Caching
✓ Available
90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.182750 (rounded ~ $0.18) Input: $0.181500 (rounded ~ $0.18)
Output: $0.001250
Optimized Cost $0.150080 Input: $0.181500 (rounded ~ $0.18)
Output: $0.001250
Unit: $0.000000
Fees: $0.000000
Total Savings $0.032670 (rounded ~ $0.03) 17.9% discount

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
1,920,000 tokens
📊 Batch API
50.0% off
Asynchronous processing discount

Multimodal Input Details

🎧 Audio
Duration: 1000 minutes
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 500,000 input tokens and 2,000 output tokens:

  • Input Cost: $0.181500 (rounded ~ $0.18)
  • Output Cost: $0.001250
  • Total Cost: $0.150080
  • Cost per 1K tokens: $0.000062
  • Tokens per dollar: 16,138,060 tokens
  • Context Window: 1048576 tokens

Speed & Performance Analysis

With a processing speed of 350 tokens per second and 80ms time to first token:

  • Processing Time: 1 hour, 58 minutes, 47.78 seconds
  • Latency: 80 milliseconds to first token
  • Base Throughput: 350 tokens/second
  • Effective Throughput: 340 tokens/second (temperature-adjusted)

Best Use Cases

Gemini 3.6 Flash for deep interview analysis; Gemini 3.5 Flash-Lite for high-volumecost-efficient screening.

Want this applied to YOUR actual stack?

This calculator shows the math for Gemini 3.5 Flash-Lite. Your decision needs more — current infrastructure, compliance requirements, actual workload patterns, volume tiers — that change which model is right for you.

Get a $39 personalized AI Architecture Audit. PDF tailored to your stack, delivered in under 60 seconds. 7-day no-questions-asked refund.

Get my instant AI audit — $39 →

✨ Market Recommendations AI Model Registry

← Back to Gemini 3.6 Flash
📋 Active Input Parameters
Input Tokens: 500,000
Output Tokens: 2,000
Batch API: Enabled (50% discount)
Cached Tokens: 20%
Audio: 1000 minutes
Tools: Enabled
Rank AI Model & Provider Total Cost vs Gemini 3.6 Flash vs Gemini 3.5 Flash-Lite
🏆 Gemini 3.1 Flash Lite
Google
 $0.124775 (rounded ~ $0.12) Best Value ↓ 83.3% cheaper ↓ 16.9% cheaper
🥈 Gemini 3.5 Flash-Lite
Google
 $0.150080 ↓ 79.9% cheaper Same price
🥉 Gemini 2.5 Flash
Google
 $0.150080 ↓ 79.9% cheaper Same price
#4 Gemini 3.5 Flash
Google
 $0.748650 (rounded ~ $0.75) ↑ 0.1% more ↑ 398.8% more
#5 Gemini 3.1 Flash
Google
 $0.998200 (rounded ~ $1.00) ↑ 33.5% more ↑ 565.1% more
#6 Gemini 2.5 Pro
Google
 $2.495500 (rounded ~ $2.50) ↑ 233.7% more ↑ 1562.8% more
#7 Grok 4.3
xAI
 $3.976800 (rounded ~ $3.98) ↑ 431.7% more ↑ 2549.8% more
#8 Grok 4.3
xAI
 $3.976800 (rounded ~ $3.98) ↑ 431.7% more ↑ 2549.8% more
🏆

Gemini 3.1 Flash Lite
Google

$0.124775 (rounded ~ $0.12)
vs Gemini 3.6 Flash: ↓ 83.3%
vs Gemini 3.5 Flash-Lite: ↓ 16.9%
🥈

Gemini 3.5 Flash-Lite
Google

$0.150080
vs Gemini 3.6 Flash: ↓ 79.9%
vs Gemini 3.5 Flash-Lite: Same
🥉

Gemini 2.5 Flash
Google

$0.150080
vs Gemini 3.6 Flash: ↓ 79.9%
vs Gemini 3.5 Flash-Lite: Same
#4

Gemini 3.5 Flash
Google

$0.748650 (rounded ~ $0.75)
vs Gemini 3.6 Flash: ↑ 0.1%
vs Gemini 3.5 Flash-Lite: ↑ 398.8%
#5

Gemini 3.1 Flash
Google

$0.998200 (rounded ~ $1.00)
vs Gemini 3.6 Flash: ↑ 33.5%
vs Gemini 3.5 Flash-Lite: ↑ 565.1%
#6

Gemini 2.5 Pro
Google

$2.495500 (rounded ~ $2.50)
vs Gemini 3.6 Flash: ↑ 233.7%
vs Gemini 3.5 Flash-Lite: ↑ 1562.8%
#7

Grok 4.3
xAI

$3.976800 (rounded ~ $3.98)
vs Gemini 3.6 Flash: ↑ 431.7%
vs Gemini 3.5 Flash-Lite: ↑ 2549.8%
#8

Grok 4.3
xAI

$3.976800 (rounded ~ $3.98)
vs Gemini 3.6 Flash: ↑ 431.7%
vs Gemini 3.5 Flash-Lite: ↑ 2549.8%
✨ 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 recruiters who rely on interview transcriptions to build detailed candidate profiles, choosing the right model is a balance between raw speed and nuance. Gemini 3.6 Flash is currently the go-to for complex interviews where capturing specific technical details or nuances in conversation is paramount. Its deeper reasoning capabilities ensure that the resulting transcript doesn’t just capture words but understands the context of the technical skills discussed.

On the other hand, Gemini 3.5 Flash-Lite is an exceptionally efficient choice for high-volume screening. If your workflow involves transcribing 1,000 minutes of weekly interviews—often including follow-up rounds or screening calls—3.5 Flash-Lite provides the necessary accuracy for basic information extraction while maintaining a highly responsive, low-latency pipeline.

Recruiters should consider Gemini 3.6 Flash when interviews are long, multi-faceted, or require summarization of complex project experiences. Conversely, Gemini 3.5 Flash-Lite is the better fit for fast-paced, high-volume screening where you need to quickly populate ATS fields or extract key action items without the overhead of more reasoning-heavy models. Both models handle the diarization required for multi-speaker interviews, ensuring you can clearly distinguish between the recruiter and the candidate during the post-interview review.

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 audio billing work?
Audio models are billed by token, not by minute. Voxtral Small 24B costs $0.10 per 1M input tokens and $0.30 per 1M output tokens, matching Mistral Small 3. GPT Realtime Mini uses standard token billing. There are no silence keep-alive surcharges or per-minute duration fees on either provider.
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.