GPT Realtime Mini vs Gemini 3.1 Flash: 60 Minutes of Real-time Voice Agent Calls

GPT Realtime Mini vs Gemini 3.1 Flash
Complete Comparison: 60,000 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)
Comparison Criteria GPT Realtime Mini
OpenAI
Gemini 3.1 Flash
Google
Calculation Results (Current Inputs) (60min audio, 20% cached)
Input Tokens N/A (Special Pricing) 60,000
Output Tokens N/A (Special Pricing) 5,000
Cost Breakdown
Input Cost N/A (Special Pricing) $0.087600 (rounded ~ $0.09)
Output Cost N/A (Special Pricing) $0.015000 (rounded ~ $0.02)
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.010000 $0.000000
Total Cost $0.051520 (rounded ~ $0.05) Best Value $0.086832 (rounded ~ $0.09) Most Expensive
Processing Time 4 minutes, 38.38 seconds Slowest 4 minutes, 1.20 seconds Fastest
Tokens per Second N/A (Special Pricing) 800
Time to First Token 50ms Best 100ms Worst
Cost per 1K tokens N/A (Special Pricing) $0.000482
Tokens per Dollar N/A (Special Pricing) 2,075,272
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
20
✓ Supported ✓ Supported
Batch API Support ✗ Not Supported ✓ Supported
Tool Usage Support ✗ Not Supported ✓ Supported
Scroll horizontally to see all data

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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)
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

$0.051520 Total Cost
$0.028800 Input Cost
$0.012000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
65,000Total Tokens
$0.000793Cost per 1K
1,261,646Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

4m 38s 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

$0.051520 (rounded ~ $0.05)
Total Cost
🎧 60min Audio ⚡ 20% Cached 🔧 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) $0.058000 (rounded ~ $0.06) Input: $0.036000 (rounded ~ $0.04)
Output: $0.012000 (rounded ~ $0.01)
Optimized Cost $0.051520 (rounded ~ $0.05) Input: $0.036000 (rounded ~ $0.04)
Output: $0.012000 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.010000
Total Savings $0.006480 (rounded ~ $0.01) 11.2% discount

Advanced Cost Breakdown (from Plugin)

Multimodal Input Details

🎧 Audio
Duration: 60 minutes
Cost: $1.800000

Detailed Cost Analysis (from Plugin)

For 60,000 input tokens and 5,000 output tokens:

  • Input Cost: $0.036000 (rounded ~ $0.04)
  • Output Cost: $0.012000 (rounded ~ $0.01)
  • Service Fees: $0.010000
  • Total Cost: $0.051520 (rounded ~ $0.05)
  • Cost per 1K tokens: $0.000793
  • Tokens per dollar: 1,261,646 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: 4 minutes, 38.38 seconds
  • Latency: 50 milliseconds to first token
  • Base Throughput: 250 tokens/second
  • Effective Throughput: 234 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for high-concurrencylow-latency conversational agents where user experience depends on immediate response times.

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.

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Gemini 3.1 Flash Google 1000000

$0.086832 (rounded ~ $0.09)
Total Cost
🎧 60min Audio ⚡ 20% Cached 🔧 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) $0.102600 (rounded ~ $0.10) Input: $0.087600 (rounded ~ $0.09)
Output: $0.015000 (rounded ~ $0.02)
Optimized Cost $0.086832 (rounded ~ $0.09) Input: $0.087600 (rounded ~ $0.09)
Output: $0.015000 (rounded ~ $0.02)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.015768 (rounded ~ $0.02) 15.4% 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 60,000 input tokens and 5,000 output tokens:

  • Input Cost: $0.087600 (rounded ~ $0.09)
  • Output Cost: $0.015000 (rounded ~ $0.02)
  • Total Cost: $0.086832 (rounded ~ $0.09)
  • Cost per 1K tokens: $0.000482
  • Tokens per dollar: 2,075,272 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: 4 minutes, 1.20 seconds
  • Latency: 100 milliseconds to first token
  • Base Throughput: 800 tokens/second
  • Effective Throughput: 748 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for high-concurrencylow-latency conversational agents where user experience depends on immediate response times.

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: 60,000
Output Tokens: 5,000
Cached Tokens: 20%
Audio: 60 minutes
Tools: Enabled
Rank AI Model & Provider Total Cost vs GPT Realtime Mini vs Gemini 3.1 Flash
🏆 Gemini 3.1 Flash Lite
Google
 $0.043416 (rounded ~ $0.04) Best Value ↓ 15.7% cheaper ↓ 50% cheaper
🥈 Gemini 3.5 Flash-Lite
Google
 $0.055599 (rounded ~ $0.06) ↑ 7.9% more ↓ 36% cheaper
🥉 Gemini 2.5 Flash
Google
 $0.055599 (rounded ~ $0.06) ↑ 7.9% more ↓ 36% cheaper
#4 Gemini 3.1 Flash
Google
 $0.086832 (rounded ~ $0.09) ↑ 68.5% more Same price
#5 Gemini 3.8 Flash
Google
 $0.126498 (rounded ~ $0.13) ↑ 145.5% more ↑ 45.7% more
#6 Grok 4.3
xAI
 $0.192080 (rounded ~ $0.19) ↑ 272.8% more ↑ 121.2% more
#7 Gemini 2.5 Pro
Google
 $0.229580 ↑ 345.6% more ↑ 164.4% more
#8 Gemini 3.6 Flash
Google
 $0.252996 (rounded ~ $0.25) ↑ 391.1% more ↑ 191.4% more
#9 Gemini 3.5 Flash
Google
 $0.260496 ↑ 405.6% more ↑ 200% more
#10 Gemini 3.5 Flash
Google
 $0.260496 ↑ 405.6% more ↑ 200% more
🏆

Gemini 3.1 Flash Lite
Google

$0.043416 (rounded ~ $0.04)
vs GPT Realtime Mini: ↓ 15.7%
vs Gemini 3.1 Flash: ↓ 50%
🥈

Gemini 3.5 Flash-Lite
Google

$0.055599 (rounded ~ $0.06)
vs GPT Realtime Mini: ↑ 7.9%
vs Gemini 3.1 Flash: ↓ 36%
🥉

Gemini 2.5 Flash
Google

$0.055599 (rounded ~ $0.06)
vs GPT Realtime Mini: ↑ 7.9%
vs Gemini 3.1 Flash: ↓ 36%
#4

Gemini 3.1 Flash
Google

$0.086832 (rounded ~ $0.09)
vs GPT Realtime Mini: ↑ 68.5%
vs Gemini 3.1 Flash: Same
#5

Gemini 3.8 Flash
Google

$0.126498 (rounded ~ $0.13)
vs GPT Realtime Mini: ↑ 145.5%
vs Gemini 3.1 Flash: ↑ 45.7%
#6

Grok 4.3
xAI

$0.192080 (rounded ~ $0.19)
vs GPT Realtime Mini: ↑ 272.8%
vs Gemini 3.1 Flash: ↑ 121.2%
#7

Gemini 2.5 Pro
Google

$0.229580
vs GPT Realtime Mini: ↑ 345.6%
vs Gemini 3.1 Flash: ↑ 164.4%
#8

Gemini 3.6 Flash
Google

$0.252996 (rounded ~ $0.25)
vs GPT Realtime Mini: ↑ 391.1%
vs Gemini 3.1 Flash: ↑ 191.4%
#9

Gemini 3.5 Flash
Google

$0.260496
vs GPT Realtime Mini: ↑ 405.6%
vs Gemini 3.1 Flash: ↑ 200%
#10

Gemini 3.5 Flash
Google

$0.260496
vs GPT Realtime Mini: ↑ 405.6%
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.

Choosing the Right Engine for Voice Interactions

For developers building real-time voice agents, the choice between these two models hinges on whether your priority is raw, low-latency conversational speed or deeper multimodal reasoning. The GPT Realtime Mini is purpose-built for the sub-second responsiveness required in interactive voice-to-voice applications. It minimizes the perceived delay that often plagues standard streaming architectures, making it ideal for fast-paced customer service bots or voice-first assistants where every millisecond counts.

Conversely, Gemini 3.1 Flash excels when your agent needs to perform complex, multi-step reasoning while maintaining a fluid dialogue. It handles multimodal inputs more robustly, allowing your agent to reference visual data or external documents during a conversation without losing its place. This makes it a stronger candidate for voice agents that act as specialized researchers or complex task-executors rather than simple conversational interfaces.

Key Decision Factors

  • Latency vs. Context: GPT Realtime Mini is optimized for instantaneous, turn-by-turn dialogue, while Gemini 3.1 Flash provides superior integration for long-context tasks that require pulling in external data.
  • Ecosystem Integration: Consider your existing infrastructure. Gemini 3.1 Flash offers tighter integration if your pipeline already relies heavily on Google Cloud tools and Gemini-native function calling.
  • Agent Personality: If your voice agent requires a highly specific, human-like cadence, the Realtime API’s specialized streaming protocols often yield more natural-sounding interruptions and smoother barge-in performance.

For most lightweight, high-volume voice applications, starting with the optimized streaming model is the recommended path.

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

GPT Realtime Mini currently costs n/a / n/a per 1M tokens. These are the models worth pricing against it, taken live from the tracked registry.

Other models from the same provider

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