Gemini 3.1 Pro vs GPT Realtime Mini: 10,000 Hours of Audio Analysis

Gemini 3.1 Pro vs GPT Realtime Mini
Complete Comparison: 120,000,000 input tokens × 2,000 output tokens
Comparison Mode
🎧 600000min Audio ⚡ 50% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 600000min Audio, 50% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria Gemini 3.1 Pro
Google
GPT Realtime Mini
OpenAI
Calculation Results (Current Inputs) (600000min audio, 50% cached)
Input Tokens 120,000,000 N/A (Special Pricing)
Output Tokens 2,000 N/A (Special Pricing)
Cost Breakdown
Input Cost $2544.000000 N/A (Special Pricing)
Output Cost $0.018000 (rounded ~ $0.02) N/A (Special Pricing)
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.010000
Total Cost $1399.218000 (rounded ~ $1,399.22) Most Expensive $39.614800 (rounded ~ $39.61) Best Value
Processing Time 909 hours, 50 minutes, 5.33 seconds Slowest 137 hours, 20 minutes, 8.42 seconds Fastest
Tokens per Second 400 N/A (Special Pricing)
Time to First Token 220ms Worst 50ms Best
Cost per 1K tokens $0.001100 N/A (Special Pricing)
Tokens per Dollar 909,081 N/A (Special Pricing)
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $2.000000 N/A (Special Pricing)
Output Cost / 1M (Base) $9.000000 N/A (Special Pricing)
Input Cost / 1M (Optimized) $1.000000
Optimizations: 50.0% batch
N/A (Special Pricing)
Output Cost / 1M (Optimized) $4.500000
Optimizations: 50.0% batch
N/A (Special Pricing)
Capabilities & Advanced Features
Images Support ✓ Supported ✗ Not Supported
Video Support ✓ Supported ✗ Not Supported
Audio Support
600000
✓ Supported ✓ Supported
Caching Support
50
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✗ Not Supported
Tool Usage Support ✓ Supported ✗ Not Supported
Scroll horizontally to see all data

🔄 Compare Different AI Models

1

First Model

2

Second Model

Select providers and models above, then click "Compare Models" to update the comparison.
All other parameters will be preserved from the current comparison.

Click Recalculate to update after making changes

ℹ️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.

Select AI Model

Gemini 3.1 Pro
GoogleMax Context: 1,000,000 tokens
$2 / $12 per 1M tokens (Tier 1)
State-dependent pricing active. Current tier: Standard
▼
▼
Use Batch API (50% discount)
50%
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

$1399.218000 Total Cost
$1272.000000 Input Cost
$0.018000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
1,272,002,000Total Tokens
$0.001100Cost per 1K
909,081Tokens per $
🔄 Dynamic Tier Pricing Active: Using Premium pricing (tier2) based on token volume.
📊 Advanced Cost Breakdown

Processing Speed

54590m 5s Processing Time
400 Tokens/Second
220ms Time to First Token
388 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 1000000

$1399.218000 (rounded ~ $1,399.22)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
🎧 600000min Audio ⚡ 50% 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) $2544.018000 (rounded ~ $2,544.02) Input: $2544.000000
Output: $0.018000 (rounded ~ $0.02)
Optimized Cost $1399.218000 (rounded ~ $1,399.22) Input: $2544.000000
Output: $0.018000 (rounded ~ $0.02)
Unit: $0.000000
Fees: $0.000000
Total Savings $1144.800000 45.0% discount

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
1,152,000,000 tokens
📊 Batch API
50.0% off
Asynchronous processing discount
📊 Dynamic Tier
Premium
tier2 pricing based on 0 tokens

Multimodal Input Details

🎧 Audio
Duration: 600000 minutes
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 120,000,000 input tokens and 2,000 output tokens:

  • Input Cost: $2544.000000
  • Output Cost: $0.018000 (rounded ~ $0.02)
  • Total Cost: $1399.218000 (rounded ~ $1,399.22)
  • Cost per 1K tokens: $0.001100
  • Tokens per dollar: 909,081 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

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

  • Processing Time: 909 hours, 50 minutes, 5.33 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 388 tokens/second (temperature-adjusted)

Best Use Cases

Choose Gemini 3.1 Pro for deepmulti-modal analysis of clinical meetings. Choose GPT Realtime Mini for latency-sensitivereal-time dictation and voice-agent interaction.

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

$39.614800 (rounded ~ $39.61)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 128,000 tokens. Budgeting mode active.
🎧 600000min Audio ⚡ 50% Cached 📊 Batch API 🔧 Tools
👁️
Vision/Images
✗ Not Available
🎧
Audio Processing
✓ Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✗ Not Available requested
📄
OCR Support
✗ Not Available
📊
Batch API
✗ Not Available
⚡
Caching
✓ Available
90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $72.014800 (rounded ~ $72.01) Input: $72.000000
Output: $0.004800
Optimized Cost $39.614800 (rounded ~ $39.61) Input: $72.000000
Output: $0.004800
Unit: $0.000000
Fees: $0.010000
Total Savings $32.400000 45.0% discount

Advanced Cost Breakdown (from Plugin)

Multimodal Input Details

🎧 Audio
Duration: 600000 minutes
Cost: $18000.000000

Detailed Cost Analysis (from Plugin)

For 120,000,000 input tokens and 2,000 output tokens:

  • Input Cost: $72.000000
  • Output Cost: $0.004800
  • Service Fees: $0.010000
  • Total Cost: $39.614800 (rounded ~ $39.61)
  • Cost per 1K tokens: $0.000330
  • Tokens per dollar: 3,029,221 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: 137 hours, 20 minutes, 8.42 seconds
  • Latency: 50 milliseconds to first token
  • Base Throughput: 250 tokens/second
  • Effective Throughput: 243 tokens/second (temperature-adjusted)

Best Use Cases

Choose Gemini 3.1 Pro for deepmulti-modal analysis of clinical meetings. Choose GPT Realtime Mini for latency-sensitivereal-time dictation and voice-agent interaction.

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: 120,000,000
Output Tokens: 2,000
Batch API: Enabled (50% discount)
Cached Tokens: 50%
Audio: 600000 minutes
Tools: Enabled
🔍
No Alternatives Found
No other models in the registry support all your current input parameters. Try adjusting some parameters to see more options.
Remove Images Remove Video Remove Audio Remove OCR Remove Tools
✨ 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.

Choosing the Right Engine for Clinical Audio

For healthcare enterprises managing 10,000 hours of monthly audio, the decision between Gemini 3.1 Pro and GPT Realtime Mini centers on the trade-off between complex reasoning and specialized, low-latency interaction. Clinical documentation requires both high-fidelity transcription and the ability to extract structured data from non-linear, multi-speaker conversations.

Gemini 3.1 Pro shines when the primary goal is deep, multi-modal analysis. Its ability to ingest long-form audio alongside supporting diagnostic images or video makes it a powerhouse for complex case reviews. For administrative teams that need to synthesize meeting notes with patient record context, this model provides the reasoning depth required to navigate nuanced clinical discussions and generate accurate, audit-ready summaries.

GPT Realtime Mini, conversely, is optimized for speed and fluidity. If your primary use case is a live voice-assistant interface—where clinicians dictate notes and receive immediate, actionable confirmations—this model excels at minimizing latency. It is less about deep archival synthesis and more about real-time, low-overhead voice interaction.

Strategic Decision Factors:

  • Latency vs. Depth: If the priority is real-time clinician assistance, prioritize GPT Realtime Mini. If the priority is high-accuracy, retrospective summarization of complex team meetings, Gemini 3.1 Pro is the preferred choice.
  • Data Integration: Evaluate whether your pipeline requires multi-modal input. Gemini’s ability to cross-reference audio with visual charts is a differentiator for comprehensive documentation.
  • Infrastructure: Consider your existing cloud environment—Gemini integrates natively with enterprise-scale pipelines in the Google ecosystem, while GPT Realtime fits well into rapid, voice-first application stacks.

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 Pro currently costs $2.00 / $12.00 per 1M tokens. These are the models worth pricing against it, taken live from the tracked registry.

Compare across providers

Other models from the same provider

See every tracked AI pricing change →