Real-time audio processing: Gemini 2.5 Flash vs Whisper

gemini-2-5-flash vs whisper-1
Complete Comparison: 30,000 input tokens × 15,000 output tokens
Comparison Mode (Custom field comparison)

Complete comparison of pricing, performance, and capabilities for 2 leading AI models and caching optimization .

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria gemini-2-5-flash
Google
whisper-1
OpenAI
Input Parameters Applied (45min audio, 20% cached)
Input Tokens 30,000 30,000
Output Tokens 15,000 15,000
Calculation Results
Input Cost $0.116400 (rounded ~ 0.12) Worst $0.060000 Best
Output Cost $0.075000 (rounded ~ 0.08) Best $0.180000 Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.050000 $0.050000
Total Cost $0.241400 (rounded ~ 0.24) Best Value $0.290000 Most Expensive
Processing Time 3 minutes, 45.00 seconds Slowest 1 minute, 32.00 seconds Fastest
Tokens per Second 600 Fastest 500 Slowest
Time to First Token 120ms Best 200ms Worst
Cost per 1K tokens $0.001029 (rounded ~ 0.00) Best $0.006444 (rounded ~ 0.01) Worst
Tokens per Dollar 971,721 Best Value 155,172 Worst Value
Cost per 1 Million Tokens
Input Cost / 1M (Base) $1.000000 Best $2.000000 Worst
Output Cost / 1M (Base) $5.000000 Best $12.000000 Worst
Input Cost / 1M (Optimized) $0.500000 Best
Optimizations: 50.0% batch
$2.000000 Worst
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $2.500000 Best
Optimizations: 50.0% batch
$12.000000 Worst
Optimizations: No optimizations applied
Capabilities
Audio Support
45 minutes
✓ Supported ✗ Not Supported
Caching Support ✓ Supported ✗ Not Supported
Batch API Support ✓ Enabled ✗ Not Supported
Fine-Tuning Mode Standard Standard
Research Mode Not Enabled Not Enabled
Thinking Enabled Not Enabled Not Enabled
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🔄 Compare Different AI Models

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First Model

2

Second Model

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All other parameters will be preserved from the current comparison.

Select AI Model

Gemini 2.5 Flash
GoogleMax Context: 1,000,000 tokens
Input: $1.000000 / 1M
Output: $5.000000 / 1M

Calculate Token Costs

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▼
Provider-specific multipliers applied after all calculations
Enable for Haiku 4.5 hard cap bypass
Select platform to enforce context limits
Number of requests (max 1M). Summary view auto-enabled >10k.
Multiply total cost by quantity for project budgeting
$0.135224Total Cost
$0.116400Input Cost
$0.075000Output Cost
$0.000000Unit Cost
$0.000000Search Cost
$0.000000Request Fee
$0.000000Tool Fee
$0.000000Code Execution
131,400Total Tokens
$0.001029Cost per 1K
971,721Tokens per $

Click Recalculate to update after making changes

Calculate Processing Speed

▼
3m 45sProcessing Time
600Tokens/Second
120msTime to First Token
583Effective Speed

Model Comparison

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Model Information

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🔄 Advanced Options

⚡ Optimization
20%
Flat fee per session (e.g., $0.03 for Code Interpreter)
Hourly storage fee for cached data (Pro: $4.50/1M/hr, Flash: $1.00/1M/hr)
First 50 hours free, $0.05/hour after (reset at 00:00 UTC)
🧠 Specialized Modes
Enable Thinking Mode (Google models)
Manual thinking tokens (billed at output rate, disabled by default)
Adaptive thinking token estimation for DeepSeek models
30% output surcharge (Vertex AI priority)
Billed at output rate × reasoning multiplier
Global 2x multiplier for priority processing
Enable Reasoning/Thinking Mode (DeepSeek R1, Grok Deep Reason)
Enable Agentic Swarm
🔧 Automated Service Fees
Enable for DeepSeek V4 ($0.01 per 1M tokens)
Enable code execution (adds $0.05 flat fee)
$0.01 per query (auto-applied based on Search Queries input)
🤖 xAI Agent Tools (Unified $5.00/1k)
Real-time X data access calls
Standard internet search calls
Python sandbox execution calls (overrides flat fee if set)
📚 xAI RAG Tools (Unified $2.50/1k)
File search tool access
Collections/RAG knowledge base access - aggregated with File Search at $2.50/1k
ℹ️ Updated xAI Tool Pricing: Agent tools (web, X, code) at $5.00/1k calls. RAG tools (collections, file) at $2.50/1k calls. Integer code_execution_calls overrides boolean.
🎤 Realtime Audio & Deep Research
Enable Deep Research ($2.00/$8.00 rates)
Session length for billing ($0.01 per minute, rounded up)
Active speech time within session
📄 Mistral AI - Unit-Based Options
Number of pages to process with OCR (tiered pricing auto-applied)
Enable HTML table reconstruction surcharge
Duration-based audio processing (not token-based)
Enable speaker diarization (Voxtral models only)
Enable context biasing (Voxtral models only)
🔬 Research & Citation
Enable research tier pricing ($2.00/$8.00 + $0.005/query)
Enable reasoning with 1,000 token floor ($0.015 min)
Fee per source cited when research mode is enabled
⚙️ Performance Tuning
Low = Fast
High = Creative
📊 Advanced Cost Breakdown
📊 Multiple Models Detected: This page contains data for 2 models. See the detailed comparison table above, and switch between models using tabs below.

gemini-2-5-flash Google 1000000

$0.241400 (rounded ~ 0.24)
Total Cost
👁️
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

Base Cost (No Optimizations) $0.241400 (rounded ~ 0.24) Input: $0.116400 (rounded ~ 0.12)
Output: $0.075000 (rounded ~ 0.08)
Optimized Cost $0.241400 (rounded ~ 0.24) Input: $0.116400 (rounded ~ 0.12)
Output: $0.075000 (rounded ~ 0.08)
Unit: $0.000000
Fees: $0.050000
Total Savings $0.106176 (rounded ~ 0.11) 44.0% discount

Advanced Cost Breakdown

🖼️ Multimodal Input
$0.000000
86,400 tokens
📊 Batch API
50.0% off
Asynchronous processing
💻 Code Execution
$0.050000
Flat fee per execution

Multimodal Input Details

🎧 Audio
Duration: 45 minutes
Cost: $0.000000

Detailed Cost Analysis

For 30,000 input tokens and 15,000 output tokens:

  • Input Cost: $0.116400 (rounded ~ 0.12)
  • Output Cost: $0.075000 (rounded ~ 0.08)
  • Unit Cost: $0.000000
  • Service Fees: $0.050000
  • Total Cost: $0.241400 (rounded ~ 0.24)
  • Cost per 1K tokens: $0.001029 (rounded ~ 0.00)
  • Tokens per dollar: 971,721 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 600 tokens per second and 120ms time to first token:

  • Processing Time: 3 minutes, 45.00 seconds
  • Latency: 120 milliseconds to first token
  • Base Throughput: 600 tokens/second
  • Effective Throughput: 583 tokens/second

Best Use Cases

Call centersMeeting transcriptionPodcast processing

whisper-1 OpenAI

$0.290000
Total Cost
⚠️ Note: Calculation represents bulk volume across multiple requests; single-request limit is 32,768 tokens.
👁️
Vision/Images
✗ Not Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✗ Not Available
📄
OCR Support
✗ Not Available
📊
Batch API
✗ Not Available
⚡
Caching
✗ Not Available

💰 Total Cost Calculation

Base Cost (No Optimizations) $0.290000 Input: $0.060000
Output: $0.180000
Optimized Cost $0.290000 Input: $0.060000
Output: $0.180000
Unit: $0.000000
Fees: $0.050000

Advanced Cost Breakdown

💻 Code Execution
$0.050000
Flat fee per execution

Detailed Cost Analysis

For 30,000 input tokens and 15,000 output tokens:

  • Input Cost: $0.060000
  • Output Cost: $0.180000
  • Unit Cost: $0.000000
  • Service Fees: $0.050000
  • Total Cost: $0.290000
  • Cost per 1K tokens: $0.006444 (rounded ~ 0.01)
  • Tokens per dollar: 155,172 tokens
  • Context Window: 32768 tokens

Speed & Performance Analysis

With a processing speed of 500 tokens per second and 200ms time to first token:

  • Processing Time: 1 minute, 32.00 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 500 tokens/second
  • Effective Throughput: 485 tokens/second

Best Use Cases

Call centersMeeting transcriptionPodcast processing

Audio Transcription Cost Analysis

Comparing integrated multimodal vs specialized audio models. Different pricing models for real-time vs batch audio processing.

Audio Processing Comparison

  • Gemini: Native audio support with text
  • Whisper: Dedicated speech-to-text
  • Real-time: Gemini 120ms latency
  • Batch: Whisper $0.006 per minute
  • Choice depends on use case complexity

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.
How does audio billing work?
Audio models use duration-based billing (minutes) rather than tokens. Voxtral Realtime: $0.006/min, Async: $0.003/min. Silence/keep-alive fees apply for GPT Realtime Mini at $0.30/1M tokens.
What is the YemHub AI Calculator Tool?
The YemHub AI Calculator is the most comprehensive tool for estimating costs and comparing performance metrics across 38 AI models. It calculates token-based pricing, analyzes multimodal processing, and provides optimization recommendations.