Audio Transcription Cost 2026: Gemini 2.5 Flash vs Whisper-1

gemini-2-5-flash vs whisper-1
Complete Comparison: 900,000 input tokens × 45,000 output tokens
Comparison Mode (Custom field comparison)

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

Comparison Criteria gemini-2-5-flash
Google
whisper-1
OpenAI
Input Parameters Applied (60min audio)
Input Tokens 900,000 900,000
Output Tokens 45,000 45,000
Calculation Results
Input Cost $1.015200 (rounded ~ 1.02) Best $1.800000 Worst
Output Cost $0.225000 (rounded ~ 0.23) Best $0.540000 Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.050000 $0.050000
Total Cost $1.290200 Best Value $2.390000 Most Expensive
Processing Time 30 minutes, 20.00 seconds Fastest 32 minutes, 26.00 seconds Slowest
Tokens per Second 600 Fastest 500 Slowest
Time to First Token 120ms Best 200ms Worst
Cost per 1K tokens $0.001217 (rounded ~ 0.00) Best $0.002529 (rounded ~ 0.00) Worst
Tokens per Dollar 821,733 Best Value 395,397 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) $1.000000 Best
Optimizations: No optimizations applied
$2.000000 Worst
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $5.000000 Best
Optimizations: No optimizations applied
$12.000000 Worst
Optimizations: No optimizations applied
Capabilities
Audio Support
60 minutes
✓ Supported ✗ Not Supported
Caching Support ✓ Supported ✗ Not Supported
Batch API Support Available ✗ Not Supported
Fine-Tuning Mode Standard Standard
Research Mode Not Enabled Not Enabled
Thinking Enabled Not Enabled Not Enabled
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First Model

2

Second Model

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All other parameters will be preserved from the current comparison.

ℹ️ Note: Calculation represents bulk volume across multiple requests; single-request limit is 1,000,000 tokens.

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
$1.290200Total Cost
$1.015200Input Cost
$0.225000Output Cost
$0.000000Unit Cost
$0.000000Search Cost
$0.000000Request Fee
$0.000000Tool Fee
$0.000000Code Execution
1,060,200Total Tokens
$0.001217Cost per 1K
821,733Tokens per $

Click Recalculate to update after making changes

Calculate Processing Speed

▼
30m 20sProcessing Time
600Tokens/Second
120msTime to First Token
583Effective Speed

Model Comparison

Select a model to see comparisons with competitors.

Model Information

Select a model to see detailed information.

🔄 Advanced Options

⚡ Optimization
0%
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

$1.290200
Total Cost
⚠️ Note: Calculation represents bulk volume across multiple requests; single-request limit is 1,000,000 tokens.
👁️
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) $1.290200 Input: $1.015200 (rounded ~ 1.02)
Output: $0.225000 (rounded ~ 0.23)
Optimized Cost $1.290200 Input: $1.015200 (rounded ~ 1.02)
Output: $0.225000 (rounded ~ 0.23)
Unit: $0.000000
Fees: $0.050000

Advanced Cost Breakdown

🖼️ Multimodal Input
$0.000000
115,200 tokens
💻 Code Execution
$0.050000
Flat fee per execution

Multimodal Input Details

🎧 Audio
Duration: 60 minutes
Cost: $0.000000

Detailed Cost Analysis

For 900,000 input tokens and 45,000 output tokens:

  • Input Cost: $1.015200 (rounded ~ 1.02)
  • Output Cost: $0.225000 (rounded ~ 0.23)
  • Unit Cost: $0.000000
  • Service Fees: $0.050000
  • Total Cost: $1.290200
  • Cost per 1K tokens: $0.001217 (rounded ~ 0.00)
  • Tokens per dollar: 821,733 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: 30 minutes, 20.00 seconds
  • Latency: 120 milliseconds to first token
  • Base Throughput: 600 tokens/second
  • Effective Throughput: 583 tokens/second

Best Use Cases

Audio transcriptionPodcastsMeeting notes

whisper-1 OpenAI

$2.390000
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) $2.390000 Input: $1.800000
Output: $0.540000
Optimized Cost $2.390000 Input: $1.800000
Output: $0.540000
Unit: $0.000000
Fees: $0.050000

Advanced Cost Breakdown

💻 Code Execution
$0.050000
Flat fee per execution

Detailed Cost Analysis

For 900,000 input tokens and 45,000 output tokens:

  • Input Cost: $1.800000
  • Output Cost: $0.540000
  • Unit Cost: $0.000000
  • Service Fees: $0.050000
  • Total Cost: $2.390000
  • Cost per 1K tokens: $0.002529 (rounded ~ 0.00)
  • Tokens per dollar: 395,397 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: 32 minutes, 26.00 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 500 tokens/second
  • Effective Throughput: 485 tokens/second

Best Use Cases

Audio transcriptionPodcastsMeeting notes

Audio Processing Economics

Comparing dedicated audio model vs multimodal AI for transcription. Different pricing models affect total cost for long audio files.

Transcription Setup

  • Podcast length: 60 minutes
  • Whisper-1: $0.006 per minute
  • Gemini Flash: 900,000 audio tokens
  • Output: 45,000 transcription tokens

Audio Processing Recommendations

Whisper for pure transcription. Gemini for transcription with additional analysis.

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.