Transcribing 500 Hours of Customer Calls: GPT Realtime Mini vs Gemini 3.1 Flash

GPT Realtime Mini vs Gemini 3.1 Flash
Complete Comparison: 50,000 input tokens × 2,000 output tokens
Comparison Mode
🎧 30000min Audio ⚡ 10% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 30000min Audio, 10% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria GPT Realtime Mini
OpenAI
Gemini 3.1 Flash
Google
Calculation Results (Current Inputs) (30000min audio, 10% cached)
Input Tokens N/A (Special Pricing) 50,000
Output Tokens N/A (Special Pricing) 2,000
Cost Breakdown
Input Cost N/A (Special Pricing) $28.825000 (rounded ~ $28.83)
Output Cost N/A (Special Pricing) $0.006000 (rounded ~ $0.01)
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.010000 $0.000000
Total Cost $0.042100 (rounded ~ $0.04) Best Value $26.236750 (rounded ~ $26.24) Most Expensive
Processing Time 3 minutes, 42.74 seconds Fastest 21 hours, 25 minutes, 9.73 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) $0.000455
Tokens per Dollar N/A (Special Pricing) 2,197,376
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) $0.250000
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) N/A (Special Pricing) $1.500000
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support ✗ Not Supported ✓ Supported
Video Support ✗ Not Supported ✓ Supported
Audio Support
30000
✓ Supported ✓ Supported
Caching Support
10
✓ Supported ✓ Supported
Batch API Support ✗ Not Supported ✓ Supported
Tool Usage Support ✗ Not Supported ✓ Supported
Scroll horizontally to see all data

🔄 Compare Different AI Models

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Second Model

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All other parameters will be preserved from the current comparison.

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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)
10%
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

$0.042100 Total Cost
$0.027000 Input Cost
$0.004800 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
52,000Total Tokens
$0.000810Cost per 1K
1,235,154Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

3m 42s 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

$0.042100 (rounded ~ $0.04)
Total Cost
🎧 30000min Audio ⚡ 10% 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) $0.044800 (rounded ~ $0.04) Input: $0.030000
Output: $0.004800
Optimized Cost $0.042100 (rounded ~ $0.04) Input: $0.030000
Output: $0.004800
Unit: $0.000000
Fees: $0.010000
Total Savings $0.002700 6.0% discount

Advanced Cost Breakdown (from Plugin)

Multimodal Input Details

🎧 Audio
Duration: 30000 minutes
Cost: $900.000000

Detailed Cost Analysis (from Plugin)

For 50,000 input tokens and 2,000 output tokens:

  • Input Cost: $0.030000
  • Output Cost: $0.004800
  • Service Fees: $0.010000
  • Total Cost: $0.042100 (rounded ~ $0.04)
  • Cost per 1K tokens: $0.000810
  • Tokens per dollar: 1,235,154 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, 42.74 seconds
  • Latency: 50 milliseconds to first token
  • Base Throughput: 250 tokens/second
  • Effective Throughput: 234 tokens/second (temperature-adjusted)

Best Use Cases

GPT Realtime Mini for interactive voice agents; Gemini 3.1 Flash for cost-effective batch transcription and summarization of long-form meeting audio.

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

$26.236750 (rounded ~ $26.24)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
🎧 30000min Audio ⚡ 10% 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) $28.831000 (rounded ~ $28.83) Input: $28.825000 (rounded ~ $28.83)
Output: $0.006000 (rounded ~ $0.01)
Optimized Cost $26.236750 (rounded ~ $26.24) Input: $28.825000 (rounded ~ $28.83)
Output: $0.006000 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $2.594250 (rounded ~ $2.59) 9.0% discount

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
57,600,000 tokens
📊 Batch API
50.0% off
Asynchronous processing discount
📊 Dynamic Tier
Premium
tier2 pricing based on 0 tokens

Multimodal Input Details

🎧 Audio
Duration: 30000 minutes
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 50,000 input tokens and 2,000 output tokens:

  • Input Cost: $28.825000 (rounded ~ $28.83)
  • Output Cost: $0.006000 (rounded ~ $0.01)
  • Total Cost: $26.236750 (rounded ~ $26.24)
  • Cost per 1K tokens: $0.000455
  • Tokens per dollar: 2,197,376 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: 21 hours, 25 minutes, 9.73 seconds
  • Latency: 100 milliseconds to first token
  • Base Throughput: 800 tokens/second
  • Effective Throughput: 748 tokens/second (temperature-adjusted)

Best Use Cases

GPT Realtime Mini for interactive voice agents; Gemini 3.1 Flash for cost-effective batch transcription and summarization of long-form meeting audio.

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: 50,000
Output Tokens: 2,000
Batch API: Enabled (50% discount)
Cached Tokens: 10%
Audio: 30000 minutes
Rank AI Model & Provider Total Cost vs GPT Realtime Mini vs Gemini 3.1 Flash
🏆 Grok 4.1 Fast
xAI
 $2.623325 (rounded ~ $2.62) Best Value ↑ 6131.2% more ↓ 90% cheaper
🥈 Gemini 3.1 Flash Lite
Google
 $3.279594 ↑ 7690% more ↓ 87.5% cheaper
🥉 Gemini 2.5 Flash
Google
 $3.935863 (rounded ~ $3.94) ↑ 9248.8% more ↓ 85% cheaper
#4 Gemini 3.1 Flash
Google
 $26.236750 (rounded ~ $26.24) ↑ 62220.1% more Same price
#5 Grok 4
xAI
 $39.353625 (rounded ~ $39.35) ↑ 93376.5% more ↑ 50% more
#6 Grok 4.1
xAI
 $39.353625 (rounded ~ $39.35) ↑ 93376.5% more ↑ 50% more
#7 Gemini 2.5 Pro
Google
 $65.591875 (rounded ~ $65.59) ↑ 155700.2% more ↑ 150% more
#8 Gemini 2.5 Pro
Google
 $65.591875 (rounded ~ $65.59) ↑ 155700.2% more ↑ 150% more
🏆

Grok 4.1 Fast
xAI

$2.623325 (rounded ~ $2.62)
vs GPT Realtime Mini: ↑ 6131.2%
vs Gemini 3.1 Flash: ↓ 90%
🥈

Gemini 3.1 Flash Lite
Google

$3.279594
vs GPT Realtime Mini: ↑ 7690%
vs Gemini 3.1 Flash: ↓ 87.5%
🥉

Gemini 2.5 Flash
Google

$3.935863 (rounded ~ $3.94)
vs GPT Realtime Mini: ↑ 9248.8%
vs Gemini 3.1 Flash: ↓ 85%
#4

Gemini 3.1 Flash
Google

$26.236750 (rounded ~ $26.24)
vs GPT Realtime Mini: ↑ 62220.1%
vs Gemini 3.1 Flash: Same
#5

Grok 4
xAI

$39.353625 (rounded ~ $39.35)
vs GPT Realtime Mini: ↑ 93376.5%
vs Gemini 3.1 Flash: ↑ 50%
#6

Grok 4.1
xAI

$39.353625 (rounded ~ $39.35)
vs GPT Realtime Mini: ↑ 93376.5%
vs Gemini 3.1 Flash: ↑ 50%
#7

Gemini 2.5 Pro
Google

$65.591875 (rounded ~ $65.59)
vs GPT Realtime Mini: ↑ 155700.2%
vs Gemini 3.1 Flash: ↑ 150%
#8

Gemini 2.5 Pro
Google

$65.591875 (rounded ~ $65.59)
vs GPT Realtime Mini: ↑ 155700.2%
vs Gemini 3.1 Flash: ↑ 150%
✨ 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 teams designing AI-driven meeting assistants, the choice between GPT Realtime Mini and Gemini 3.1 Flash depends heavily on the specific workflow: interactive voice agent versus post-meeting analysis pipeline. GPT Realtime Mini is built for latency-critical, conversational flows. If your goal is an AI assistant that joins a meeting to answer questions in real-time or act as a collaborative partner during the call, its specialized architecture for streaming audio input and output is superior. It is designed to handle interruptions, hesitations, and the natural, non-linear rhythm of human speech, which is essential for preserving the ‘feel’ of a live interaction. Conversely, Gemini 3.1 Flash shines when you are building a scalable transcription and summarization engine. If your priority is processing 500 hours of audio monthly to generate structured action items, meeting minutes, and searchable knowledge bases, Gemini’s native ability to ingest raw audio and produce precise, coherent text summaries is highly efficient. Its model architecture is optimized for high-throughput, multimodal tasks, allowing it to handle long-form audio files as a single ingestion point without the overhead of real-time streaming protocols. For a 500-hour monthly scale, your decision hinges on the ‘live’ requirement. Build with GPT Realtime Mini if your product requires low-latency, back-and-forth dialogue. Opt for Gemini 3.1 Flash if you are building an ‘async’ powerhouse that focuses on deep comprehension, structured extraction, and post-call analysis of long-duration audio assets.

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.