Podcast Production Cost: Full Audio & Show Notes Generation

Complete Analysis: 1,085,200 tokens for gemini-2-5-flash

Complete analysis of pricing, performance, and use cases for Google's gemini-2-5-flash model with multimodal input .

📊 Batch API
$1.415200 (rounded ~ 1.42) Total Cost
1,085,200 Total Tokens
32 minutes, 15.00 seconds Processing Time
561 Effective Tokens/Sec
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
$0.732600Total Cost
$1.015200Input Cost
$0.350000Output Cost
$0.000000Unit Cost
$0.000000Search Cost
$0.000000Request Fee
$0.000000Tool Fee
$0.000000Code Execution
1,085,200Total Tokens
$0.000675Cost per 1K
1,481,299Tokens per $

Click Recalculate to update after making changes

Calculate Processing Speed

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32m 15sProcessing Time
600Tokens/Second
120msTime to First Token
561Effective Speed

Model Comparison

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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

gemini-2-5-flash Google 1000000

$1.415200 (rounded ~ 1.42)
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) $1.415200 (rounded ~ 1.42) Input: $1.015200 (rounded ~ 1.02)
Output: $0.350000
Optimized Cost $1.415200 (rounded ~ 1.42) Input: $1.015200 (rounded ~ 1.02)
Output: $0.350000
Unit: $0.000000
Fees: $0.050000
Total Savings $0.682600 (rounded ~ 0.68) 48.2% discount

Advanced Cost Breakdown

🖼️ Multimodal Input
$0.000000
115,200 tokens
📊 Batch API
50.0% off
Asynchronous processing
💻 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 70,000 output tokens:

  • Input Cost: $1.015200 (rounded ~ 1.02)
  • Output Cost: $0.350000
  • Unit Cost: $0.000000
  • Service Fees: $0.050000
  • Total Cost: $1.415200 (rounded ~ 1.42)
  • Cost per 1K tokens: $0.000675
  • Tokens per dollar: 1,481,299 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: 32 minutes, 15.00 seconds
  • Latency: 120 milliseconds to first token
  • Base Throughput: 600 tokens/second
  • Effective Throughput: 561 tokens/second

Best Use Cases

PodcastingContent creationMedia production

Complete Podcast Workflow Cost

Calculating end-to-end podcast production costs including transcription and content creation. Audio processing at 15,000 tokens per minute.

Podcast Production

  • 60-minute podcast audio
  • Audio tokens: 900,000 (15K × 60)
  • Transcription output: 45,000 tokens
  • Show notes generation: 25,000 tokens
  • Tool usage for research and SEO

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.