Gemini 3.1 Flash vs Gemini 3.5 Flash: Audio Transcription Costs for 50,000 Hours Monthly

Gemini 3.1 Flash vs Gemini 3.5 Flash
Complete Comparison: 1,000,000 input tokens × 500 output tokens
Comparison Mode
🎧 3000000min Audio ⚡ 20% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 3000000min Audio, 20% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria Gemini 3.1 Flash
Google
Gemini 3.5 Flash
Google
Calculation Results (Current Inputs) (3000000min audio, 20% cached)
Input Tokens 1,000,000 1,000,000
Output Tokens 500 500
Cost Breakdown
Input Cost $2880.500000Worst $2160.375000 (rounded ~ $2,160.38)Best
Output Cost $0.001500Worst $0.001125Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $2362.011500 (rounded ~ $2,362.01) Most Expensive $1771.508625 (rounded ~ $1,771.51) Best Value
Processing Time 2040 hours, 21 minutes, 15.82 seconds Slowest 1920 hours, 20 minutes, 0.78 seconds Fastest
Tokens per Second 800Slowest 850Fastest
Time to First Token 100ms Worst 90ms Best
Cost per 1K tokens $0.000410Worst $0.000308Best
Tokens per Dollar 2,439,023Worst Value 3,252,031Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.500000Worst $0.375000 (rounded ~ $0.38)Best
Output Cost / 1M (Base) $3.000000Worst $2.250000Best
Input Cost / 1M (Optimized) $0.250000Worst
Optimizations: 50.0% batch
$0.187500 (rounded ~ $0.19)Best
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $1.500000Worst
Optimizations: 50.0% batch
$1.125000 (rounded ~ $1.13)Best
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Video Support ✓ Supported ✓ Supported
Audio Support
3000000
✓ Supported ✓ Supported
Caching Support
20
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
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ℹ️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.

Select AI Model

Gemini 3.1 Flash
GoogleMax Context: 1,000,000 tokens
$0.5 / $3 per 1M tokens (Tier 1)
State-dependent pricing active. Current tier: Standard
▼
▼
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

$2362.011500 Total Cost
$2304.400000 Input Cost
$0.001500 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
5,761,000,500Total Tokens
$0.000410Cost per 1K
2,439,023Tokens per $
🔄 Dynamic Tier Pricing Active: Using Premium pricing (tier2) based on token volume.
📊 Advanced Cost Breakdown

Processing Speed

122421m 15s Processing Time
800 Tokens/Second
100ms Time to First Token
784 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 3.1 Flash Google 1000000

$2362.011500 (rounded ~ $2,362.01)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
🎧 3000000min 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) $2880.501500 (rounded ~ $2,880.50) Input: $2880.500000
Output: $0.001500
Optimized Cost $2362.011500 (rounded ~ $2,362.01) Input: $2880.500000
Output: $0.001500
Unit: $0.000000
Fees: $0.000000
Total Savings $518.490000 18.0% discount

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
5,760,000,000 tokens
📊 Batch API
50.0% off
Asynchronous processing discount
📊 Dynamic Tier
Premium
tier2 pricing based on 0 tokens

Multimodal Input Details

🎧 Audio
Duration: 3000000 minutes
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 1,000,000 input tokens and 500 output tokens:

  • Input Cost: $2880.500000
  • Output Cost: $0.001500
  • Total Cost: $2362.011500 (rounded ~ $2,362.01)
  • Cost per 1K tokens: $0.000410
  • Tokens per dollar: 2,439,023 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 800 tokens per second and 100ms time to first token:

  • Processing Time: 2040 hours, 21 minutes, 15.82 seconds
  • Latency: 100 milliseconds to first token
  • Base Throughput: 800 tokens/second
  • Effective Throughput: 784 tokens/second (temperature-adjusted)

Best Use Cases

High-volume transcription tasks where speaker diarization accuracy and cost-efficiency are the primary drivers for recruitment operations.

Want this applied to YOUR actual stack?

This calculator shows the math for Gemini 3.1 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.

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Gemini 3.5 Flash Google 1000000

$1771.508625 (rounded ~ $1,771.51)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
🎧 3000000min 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) $2160.376125 (rounded ~ $2,160.38) Input: $2160.375000 (rounded ~ $2,160.38)
Output: $0.001125
Optimized Cost $1771.508625 (rounded ~ $1,771.51) Input: $2160.375000 (rounded ~ $2,160.38)
Output: $0.001125
Unit: $0.000000
Fees: $0.000000
Total Savings $388.867500 (rounded ~ $388.87) 18.0% discount

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
5,760,000,000 tokens
📊 Batch API
50.0% off
Asynchronous processing discount

Multimodal Input Details

🎧 Audio
Duration: 3000000 minutes
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 1,000,000 input tokens and 500 output tokens:

  • Input Cost: $2160.375000 (rounded ~ $2,160.38)
  • Output Cost: $0.001125
  • Total Cost: $1771.508625 (rounded ~ $1,771.51)
  • Cost per 1K tokens: $0.000308
  • Tokens per dollar: 3,252,031 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: 1920 hours, 20 minutes, 0.78 seconds
  • Latency: 90 milliseconds to first token
  • Base Throughput: 850 tokens/second
  • Effective Throughput: 833 tokens/second (temperature-adjusted)

Best Use Cases

High-volume transcription tasks where speaker diarization accuracy and cost-efficiency are the primary drivers for recruitment operations.

Want this applied to YOUR actual stack?

This calculator shows the math for Gemini 3.5 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 →

✨ Market Recommendations AI Model Registry

← Back to Gemini 3.1 Flash
📋 Active Input Parameters
Input Tokens: 1,000,000
Output Tokens: 500
Batch API: Enabled (50% discount)
Cached Tokens: 20%
Audio: 3000000 minutes
Tools: Enabled
Rank AI Model & Provider Total Cost vs Gemini 3.1 Flash vs Gemini 3.5 Flash
🏆 Gemini 3.5 Flash-Lite
Google
 $354.301813 (rounded ~ $354.30) Best Value ↓ 85% cheaper ↓ 80% cheaper
🥈 Gemini 3.8 Flash
Google
 $885.754219 (rounded ~ $885.75) ↓ 62.5% cheaper ↓ 50% cheaper
🥉 Gemini 3.6 Flash
Google
 $1771.508438 (rounded ~ $1,771.51) ↓ 25% cheaper ↓ 0% cheaper
#4 Gemini 3.6 Flash
Google
 $1771.508438 (rounded ~ $1,771.51) ↓ 25% cheaper ↓ 0% cheaper
🏆

Gemini 3.5 Flash-Lite
Google

$354.301813 (rounded ~ $354.30)
vs Gemini 3.1 Flash: ↓ 85%
vs Gemini 3.5 Flash: ↓ 80%
🥈

Gemini 3.8 Flash
Google

$885.754219 (rounded ~ $885.75)
vs Gemini 3.1 Flash: ↓ 62.5%
vs Gemini 3.5 Flash: ↓ 50%
🥉

Gemini 3.6 Flash
Google

$1771.508438 (rounded ~ $1,771.51)
vs Gemini 3.1 Flash: ↓ 25%
vs Gemini 3.5 Flash: ↓ 0%
#4

Gemini 3.6 Flash
Google

$1771.508438 (rounded ~ $1,771.51)
vs Gemini 3.1 Flash: ↓ 25%
vs Gemini 3.5 Flash: ↓ 0%
✨ 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.

Recruiters conducting 50,000 hours of interviews annually require infrastructure that prioritizes high-fidelity speaker diarization and low-latency processing. Gemini 3.1 Flash has established itself as a reliable, high-volume workhorse, offering consistent performance for standard screening calls where clear, structured transcripts are the primary goal. Its architecture is optimized for the kind of rapid-fire, high-frequency audio processing that characterizes high-volume staffing agencies.

Gemini 3.5 Flash, conversely, introduces advanced refinements in audio nuance and multi-speaker separation, which are critical when interview environments vary—from quiet home offices to noisy coffee shops. For enterprise teams where the accuracy of candidate data directly influences the quality of the hiring funnel, the decision between these two often comes down to the required level of detail. While 3.1 Flash provides exceptional value for standard high-volume processing, 3.5 Flash offers a strategic advantage for roles requiring deeper behavioral analysis, where detecting subtle tone shifts or hesitations can reveal critical candidate insights. Both models support the massive scale of 50,000 monthly audio hours, but architectural teams must weigh the marginal gains in accuracy provided by 3.5 Flash against the baseline efficiency of 3.1 Flash. The key for recruiters is identifying whether their current interview workflow demands granular, emotional intelligence-based insights or if highly accurate, verbatim documentation is sufficient to maintain their hiring velocity.

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.

Related model pricing

Gemini 3.1 Flash currently costs $0.50 / $3.00 per 1M tokens. These are the models worth pricing against it, taken live from the tracked registry.

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