Narration Cost: $/Hour of Audio for Gemini 3.1 Pro vs GPT Realtime Mini

Gemini 3.1 Pro vs GPT Realtime Mini
Complete Comparison: 50,000 input tokens × 5,000 output tokens
Comparison Mode
🎧 60min Audio ⚡ 20% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 60min Audio, 20% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria Gemini 3.1 Pro
Google
GPT Realtime Mini
OpenAI
Calculation Results (Current Inputs) (60min audio, 20% cached)
Input Tokens 50,000 N/A (Special Pricing)
Output Tokens 5,000 N/A (Special Pricing)
Cost Breakdown
Input Cost $0.165200 (rounded ~ $0.17) N/A (Special Pricing)
Output Cost $0.030000 N/A (Special Pricing)
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.010000
Total Cost $0.165464 (rounded ~ $0.17) Most Expensive $0.046600 (rounded ~ $0.05) Best Value
Processing Time 7 minutes, 35.47 seconds Slowest 3 minutes, 55.58 seconds Fastest
Tokens per Second 400 N/A (Special Pricing)
Time to First Token 220ms Worst 50ms Best
Cost per 1K tokens $0.000972 N/A (Special Pricing)
Tokens per Dollar 1,028,623 N/A (Special Pricing)
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $1.000000 N/A (Special Pricing)
Output Cost / 1M (Base) $6.000000 N/A (Special Pricing)
Input Cost / 1M (Optimized) $0.500000
Optimizations: 50.0% batch
N/A (Special Pricing)
Output Cost / 1M (Optimized) $3.000000
Optimizations: 50.0% batch
N/A (Special Pricing)
Capabilities & Advanced Features
Images Support ✓ Supported ✗ Not Supported
Video Support ✓ Supported ✗ Not Supported
Audio Support
60
✓ Supported ✓ Supported
Caching Support
20
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✗ Not Supported
Tool Usage Support ✓ Supported ✗ Not Supported
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Select AI Model

Gemini 3.1 Pro
GoogleMax Context: 2,000,000 tokens
$2 / $12 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

$0.165464 Total Cost
$0.132160 Input Cost
$0.030000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
170,200Total Tokens
$0.000972Cost per 1K
1,028,623Tokens per $
🔄 Dynamic Tier Pricing Active: Using Standard pricing (tier1) based on token volume.
📊 Advanced Cost Breakdown

Processing Speed

7m 35s Processing Time
400 Tokens/Second
220ms Time to First Token
374 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 Pro Google 2000000

$0.165464 (rounded ~ $0.17)
Total Cost
🎧 60min Audio ⚡ 20% Cached 📊 Batch API
👁️
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) $0.195200 (rounded ~ $0.20) Input: $0.165200 (rounded ~ $0.17)
Output: $0.030000
Optimized Cost $0.165464 (rounded ~ $0.17) Input: $0.165200 (rounded ~ $0.17)
Output: $0.030000
Unit: $0.000000
Fees: $0.000000
Total Savings $0.029736 15.2% discount

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
115,200 tokens
📊 Batch API
50.0% off
Asynchronous processing discount
📊 Dynamic Tier
Standard
tier1 pricing based on 0 tokens

Multimodal Input Details

🎧 Audio
Duration: 60 minutes
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 50,000 input tokens and 5,000 output tokens:

  • Input Cost: $0.165200 (rounded ~ $0.17)
  • Output Cost: $0.030000
  • Total Cost: $0.165464 (rounded ~ $0.17)
  • Cost per 1K tokens: $0.000972
  • Tokens per dollar: 1,028,623 tokens
  • Context Window: 2000000 tokens

Speed & Performance Analysis

With a processing speed of 400 tokens per second and 220ms time to first token:

  • Processing Time: 7 minutes, 35.47 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 374 tokens/second (temperature-adjusted)

Best Use Cases

Select Gemini 3.1 Pro for high-fidelity narration of complex manuscripts; use GPT Realtime Mini for rapidlower-cost summaries of daily research updates.

Want this applied to YOUR actual stack?

This calculator shows the math for Gemini 3.1 Pro. 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 →

GPT Realtime Mini OpenAI

$0.046600 (rounded ~ $0.05)
Total Cost
🎧 60min Audio ⚡ 20% Cached 📊 Batch API
👁️
Vision/Images
✗ Not Available
🎧
Audio Processing
✓ Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✗ Not Available
📄
OCR Support
✗ Not Available
📊
Batch API
✗ Not Available
⚡
Caching
✓ Available
90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.052000 (rounded ~ $0.05) Input: $0.030000
Output: $0.012000 (rounded ~ $0.01)
Optimized Cost $0.046600 (rounded ~ $0.05) Input: $0.030000
Output: $0.012000 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.010000
Total Savings $0.005400 (rounded ~ $0.01) 10.4% discount

Advanced Cost Breakdown (from Plugin)

Multimodal Input Details

🎧 Audio
Duration: 60 minutes
Cost: $1.800000

Detailed Cost Analysis (from Plugin)

For 50,000 input tokens and 5,000 output tokens:

  • Input Cost: $0.030000
  • Output Cost: $0.012000 (rounded ~ $0.01)
  • Service Fees: $0.010000
  • Total Cost: $0.046600 (rounded ~ $0.05)
  • Cost per 1K tokens: $0.000847
  • Tokens per dollar: 1,180,258 tokens
  • Context Window: 128000 tokens

Speed & Performance Analysis

With a processing speed of 250 tokens per second and 50ms time to first token:

  • Processing Time: 3 minutes, 55.58 seconds
  • Latency: 50 milliseconds to first token
  • Base Throughput: 250 tokens/second
  • Effective Throughput: 234 tokens/second (temperature-adjusted)

Best Use Cases

Select Gemini 3.1 Pro for high-fidelity narration of complex manuscripts; use GPT Realtime Mini for rapidlower-cost summaries of daily research updates.

Want this applied to YOUR actual stack?

This calculator shows the math for GPT Realtime Mini. 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 Pro
📋 Active Input Parameters
Input Tokens: 50,000
Output Tokens: 5,000
Batch API: Enabled (50% discount)
Cached Tokens: 20%
Audio: 60 minutes
Rank AI Model & Provider Total Cost vs Gemini 3.1 Pro vs GPT Realtime Mini
🏆 Gemini 3.1 Flash Lite
Google
 $0.010342 Best Value ↓ 93.8% cheaper ↓ 77.8% cheaper
🥈 Gemini 2.5 Flash
Google
 $0.013285 (rounded ~ $0.01) ↓ 92% cheaper ↓ 71.5% cheaper
🥉 Gemini 3.1 Flash
Google
 $0.041366 (rounded ~ $0.04) ↓ 75% cheaper ↓ 11.2% cheaper
#4 Grok 4.3
xAI
 $0.045458 (rounded ~ $0.05) ↓ 72.5% cheaper ↓ 2.5% cheaper
#5 Gemini 3.5 Flash
Google
 $0.062049 (rounded ~ $0.06) ↓ 62.5% cheaper ↑ 33.2% more
#6 Gemini 3.5 Flash
Google
 $0.062049 (rounded ~ $0.06) ↓ 62.5% cheaper ↑ 33.2% more
🏆

Gemini 3.1 Flash Lite
Google

$0.010342
vs Gemini 3.1 Pro: ↓ 93.8%
vs GPT Realtime Mini: ↓ 77.8%
🥈

Gemini 2.5 Flash
Google

$0.013285 (rounded ~ $0.01)
vs Gemini 3.1 Pro: ↓ 92%
vs GPT Realtime Mini: ↓ 71.5%
🥉

Gemini 3.1 Flash
Google

$0.041366 (rounded ~ $0.04)
vs Gemini 3.1 Pro: ↓ 75%
vs GPT Realtime Mini: ↓ 11.2%
#4

Grok 4.3
xAI

$0.045458 (rounded ~ $0.05)
vs Gemini 3.1 Pro: ↓ 72.5%
vs GPT Realtime Mini: ↓ 2.5%
#5

Gemini 3.5 Flash
Google

$0.062049 (rounded ~ $0.06)
vs Gemini 3.1 Pro: ↓ 62.5%
vs GPT Realtime Mini: ↑ 33.2%
#6

Gemini 3.5 Flash
Google

$0.062049 (rounded ~ $0.06)
vs Gemini 3.1 Pro: ↓ 62.5%
vs GPT Realtime Mini: ↑ 33.2%
✨ 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.

Evaluating Audio Fidelity for Academic Content

For researchers converting dense literature reviews into narrated audio, the choice between Gemini 3.1 Pro and GPT Realtime Mini hinges on the requirement for structural nuance versus raw processing speed. Gemini 3.1 Pro offers an integrated multimodal approach that excels at understanding the hierarchy of complex papers, ensuring that technical terms and mathematical formulas are narrated with appropriate cadence. Its ability to process exceptionally large context windows makes it ideal for long-form synthesis where consistency across a 60-minute session is paramount. This allows for the ingestion of multiple papers simultaneously, maintaining a coherent narrative thread throughout the generated audio.

Conversely, GPT Realtime Mini is optimized for low-latency interactions and efficient throughput. While frequently utilized for conversational assistants, its streamlined audio synthesis provides a rapid path for researchers who need quick turnarounds on daily paper summaries or meeting transcriptions. It maintains high intelligibility, though it may lack the deep cross-referencing capabilities found in larger reasoning models. When determining which model to deploy for weekly narration tasks, evaluators should consider whether the priority is the high-fidelity representation of nuanced arguments or the high-velocity production of personal briefing materials. Gemini is often the choice for dissemination-ready content, while OpenAI’s mini model serves as a robust tool for rapid productivity cycles and iterative research 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.