GPT Realtime Mini vs Gemini 3.1 Flash: Cost for 60 Minutes of Live Audio Meeting Notes

GPT Realtime Mini vs Gemini 3.1 Flash
Complete Comparison: 15,000 input tokens × 1,000 output tokens
Comparison Mode
🎧 60min Audio

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

Comparison Criteria GPT Realtime Mini
OpenAI
Gemini 3.1 Flash
Google
Calculation Results (Current Inputs) (60min audio)
Input Tokens N/A (Special Pricing) 15,000
Output Tokens N/A (Special Pricing) 1,000
Cost Breakdown
Input Cost N/A (Special Pricing) $0.065100 (rounded ~ $0.07)
Output Cost N/A (Special Pricing) $0.003000
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.010000 $0.000000
Total Cost $0.021400 (rounded ~ $0.02) Best Value $0.068100 (rounded ~ $0.07) Most Expensive
Processing Time 1 minute, 8.66 seconds Fastest 2 minutes, 55.66 seconds Slowest
Tokens per Second N/A (Special Pricing) 800
Time to First Token 50ms Best 100ms Worst
Cost per 1K tokens N/A (Special Pricing) $0.000519
Tokens per Dollar N/A (Special Pricing) 1,926,579
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) N/A (Special Pricing) $0.500000
Output Cost / 1M (Base) N/A (Special Pricing) $3.000000
Input Cost / 1M (Optimized) N/A (Special Pricing) $0.500000
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) N/A (Special Pricing) $3.000000
Optimizations: No optimizations applied
Capabilities & Advanced Features
Images Support ✗ Not Supported ✓ Supported
Video Support ✗ Not Supported ✓ Supported
Audio Support
60
✓ Supported ✓ Supported
Caching Support ✓ Supported ✓ Supported
Batch API Support ✗ Not Supported ✓ Supported
Tool Usage Support ✗ Not Supported ✓ Supported
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Select AI Model

GPT Realtime Mini
OpenAIMax Context: 128,000 tokens
$0.6 / $2.4 + audio per 1M text tokens + audio
▼
▼
Use Batch API (50% discount)
0%
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

$0.021400 Total Cost
$0.009000 Input Cost
$0.002400 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
16,000Total Tokens
$0.001338Cost per 1K
747,664Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

1m 8s Processing Time
250 Tokens/Second
50ms Time to First Token
234 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.

GPT Realtime Mini OpenAI

$0.021400 (rounded ~ $0.02)
Total Cost
🎧 60min Audio
👁️
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) $0.021400 (rounded ~ $0.02) Input: $0.009000 (rounded ~ $0.01)
Output: $0.002400
Optimized Cost $0.021400 (rounded ~ $0.02) Input: $0.009000 (rounded ~ $0.01)
Output: $0.002400
Unit: $0.000000
Fees: $0.010000

Advanced Cost Breakdown (from Plugin)

Multimodal Input Details

🎧 Audio
Duration: 60 minutes
Cost: $1.800000

Detailed Cost Analysis (from Plugin)

For 15,000 input tokens and 1,000 output tokens:

  • Input Cost: $0.009000 (rounded ~ $0.01)
  • Output Cost: $0.002400
  • Service Fees: $0.010000
  • Total Cost: $0.021400 (rounded ~ $0.02)
  • Cost per 1K tokens: $0.001338
  • Tokens per dollar: 747,664 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: 1 minute, 8.66 seconds
  • Latency: 50 milliseconds to first token
  • Base Throughput: 250 tokens/second
  • Effective Throughput: 234 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for developers prototyping low-latency transcription services or meeting assistants that require immediate summarization.

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 →

Gemini 3.1 Flash Google 1000000

$0.068100 (rounded ~ $0.07)
Total Cost
🎧 60min Audio
👁️
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) $0.068100 (rounded ~ $0.07) Input: $0.065100 (rounded ~ $0.07)
Output: $0.003000
Optimized Cost $0.068100 (rounded ~ $0.07) Input: $0.065100 (rounded ~ $0.07)
Output: $0.003000
Unit: $0.000000
Fees: $0.000000
Total Savings $0.000000 0.0% discount

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
115,200 tokens
📊 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 15,000 input tokens and 1,000 output tokens:

  • Input Cost: $0.065100 (rounded ~ $0.07)
  • Output Cost: $0.003000
  • Total Cost: $0.068100 (rounded ~ $0.07)
  • Cost per 1K tokens: $0.000519
  • Tokens per dollar: 1,926,579 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: 2 minutes, 55.66 seconds
  • Latency: 100 milliseconds to first token
  • Base Throughput: 800 tokens/second
  • Effective Throughput: 748 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for developers prototyping low-latency transcription services or meeting assistants that require immediate summarization.

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.

Get my instant AI audit — $39 →

✨ Market Recommendations AI Model Registry

← Back to GPT Realtime Mini
📋 Active Input Parameters
Input Tokens: 15,000
Output Tokens: 1,000
Audio: 60 minutes
Rank AI Model & Provider Total Cost vs GPT Realtime Mini vs Gemini 3.1 Flash
🏆 Gemini 3.1 Flash Lite
Google
 $0.034050 (rounded ~ $0.03) Best Value ↑ 59.1% more ↓ 50% cheaper
🥈 Gemini 2.5 Flash
Google
 $0.041560 (rounded ~ $0.04) ↑ 94.2% more ↓ 39% cheaper
🥉 Gemini 3.1 Flash
Google
 $0.068100 (rounded ~ $0.07) ↑ 218.2% more Same price
#4 Grok 4.3
xAI
 $0.165250 (rounded ~ $0.17) ↑ 672.2% more ↑ 142.7% more
#5 Gemini 2.5 Pro
Google
 $0.172750 (rounded ~ $0.17) ↑ 707.2% more ↑ 153.7% more
#6 Gemini 3.5 Flash
Google
 $0.204300 (rounded ~ $0.20) ↑ 854.7% more ↑ 200% more
#7 Gemini 3.5 Flash
Google
 $0.204300 (rounded ~ $0.20) ↑ 854.7% more ↑ 200% more
🏆

Gemini 3.1 Flash Lite
Google

$0.034050 (rounded ~ $0.03)
vs GPT Realtime Mini: ↑ 59.1%
vs Gemini 3.1 Flash: ↓ 50%
🥈

Gemini 2.5 Flash
Google

$0.041560 (rounded ~ $0.04)
vs GPT Realtime Mini: ↑ 94.2%
vs Gemini 3.1 Flash: ↓ 39%
🥉

Gemini 3.1 Flash
Google

$0.068100 (rounded ~ $0.07)
vs GPT Realtime Mini: ↑ 218.2%
vs Gemini 3.1 Flash: Same
#4

Grok 4.3
xAI

$0.165250 (rounded ~ $0.17)
vs GPT Realtime Mini: ↑ 672.2%
vs Gemini 3.1 Flash: ↑ 142.7%
#5

Gemini 2.5 Pro
Google

$0.172750 (rounded ~ $0.17)
vs GPT Realtime Mini: ↑ 707.2%
vs Gemini 3.1 Flash: ↑ 153.7%
#6

Gemini 3.5 Flash
Google

$0.204300 (rounded ~ $0.20)
vs GPT Realtime Mini: ↑ 854.7%
vs Gemini 3.1 Flash: ↑ 200%
#7

Gemini 3.5 Flash
Google

$0.204300 (rounded ~ $0.20)
vs GPT Realtime Mini: ↑ 854.7%
vs Gemini 3.1 Flash: ↑ 200%
✨ 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 AI for Real-time Transcription and Summarization

For marketing managers prototyping internal tools or small-scale MVPs, choosing between specialized real-time endpoints and high-speed multimodal models is a critical architectural decision. When processing 60 minutes of audio for live meeting notes, the primary challenge isn’t just transcription accuracy, but the ability to generate coherent, actionable summaries immediately following the session.

GPT Realtime Mini is engineered for low-latency interactions. It excels in scenarios where the conversational flow and vocal nuance matter, making it a strong candidate for teams testing interactive AI features. Its strength lies in its native handling of audio streams, which can significantly reduce the complexity of your middleware stack during the prototyping phase by eliminating the need for separate speech-to-text and LLM steps.

Gemini 3.1 Flash offers a robust alternative with massive context capabilities. It is particularly adept at handling long-context windows, which is vital if your meetings reference historical data or extensive background documents. Marketing teams often prefer this path when they require broad multimodal flexibility, such as the potential to analyze shared screens or presentation slides alongside the audio track in future iterations.

  • Latency vs. Context: Choose the real-time specific model for ultra-low-latency feedback loops and interactive voice applications.
  • Ecosystem Fit: Consider your existing cloud infrastructure to minimize data egress and simplify authentication hurdles.
  • Summary Depth: Flash models often provide a more concise technical summary, whereas conversational models capture nuance in tone and sentiment more effectively.

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 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.