BUDGET PLANNING: Gemini 3.1 Pro for 30 Minutes of Audio Processing

Complete Analysis: 66,100 tokens for Gemini 3.1 Pro
🎧 30min Audio ⚡ 60% Cached

Complete analysis of pricing, performance, and use cases for Google's Gemini 3.1 Pro model with 30min Audio, 60% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
$0.035946 (rounded ~ $0.04) Total Cost
66,100 Total Tokens
2 minutes, 57.00 seconds Processing Time
374 Effective Tokens/Sec

Click Recalculate to update after making changes

Select AI Model

Gemini 3.1 Pro
GoogleMax Context: 2,000,000 tokens
$2 / $12 per 1M tokens (Tier 1)
State-dependent pricing active. Current tier: Standard
▼
▼
Use Batch API (50% discount)
60%
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

$0.035946 Total Cost
$0.026040 Input Cost
$0.006000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
66,100Total Tokens
$0.000544Cost per 1K
1,838,869Tokens per $
🔄 Dynamic Tier Pricing Active: Using Standard pricing (tier1) based on token volume.
📊 Advanced Cost Breakdown

Processing Speed

2m 56s Processing Time
400 Tokens/Second
220ms Time to First Token
374 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

Gemini 3.1 Pro Google 2000000

$0.035946 (rounded ~ $0.04)
Total Cost
🎧 30min Audio ⚡ 60% 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) $0.071100 (rounded ~ $0.07) Input: $0.065100 (rounded ~ $0.07)
Output: $0.006000 (rounded ~ $0.01)
Optimized Cost $0.035946 (rounded ~ $0.04) Input: $0.065100 (rounded ~ $0.07)
Output: $0.006000 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.035154 (rounded ~ $0.04) 49.4% discount

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
57,600 tokens
📊 Batch API
50.0% off
Asynchronous processing discount
📊 Dynamic Tier
Standard
tier1 pricing based on 0 tokens

Multimodal Input Details

🎧 Audio
Duration: 30 minutes
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 7,500 input tokens and 1,000 output tokens:

  • Input Cost: $0.065100 (rounded ~ $0.07)
  • Output Cost: $0.006000 (rounded ~ $0.01)
  • Total Cost: $0.035946 (rounded ~ $0.04)
  • Cost per 1K tokens: $0.000544
  • Tokens per dollar: 1,838,869 tokens
  • Context Window: 2000000 tokens

Speed & Performance Analysis

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

  • Processing Time: 2 minutes, 57.00 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 374 tokens/second (temperature-adjusted)

Best Use Cases

Suitable for applications requiring high-quality transcription with advanced features like diarization and potential integration with other modalitiesoffering strong performance at scale.

Want this applied to YOUR actual stack?

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✨ Market Recommendations AI Model Registry

← Back to Gemini 3.1 Pro
📋 Active Input Parameters
Input Tokens: 7,500
Output Tokens: 1,000
Batch API: Enabled (50% discount)
Cached Tokens: 60%
Audio: 30 minutes
Tools: Enabled
Rank AI Model & Provider Total Cost vs Gemini 3.1 Pro
🏆 Gemini 3.1 Flash Lite
Google
 $0.002247 Best Value ↓ 93.8% cheaper
🥈 Gemini 2.5 Flash
Google
 $0.002871 ↓ 92% cheaper
🥉 Gemini 3.1 Flash
Google
 $0.008987 (rounded ~ $0.01) ↓ 75% cheaper
#4 Grok 4.3
xAI
 $0.009983 ↓ 72.2% cheaper
#5 Gemini 3.5 Flash
Google
 $0.013480 (rounded ~ $0.01) ↓ 62.5% cheaper
#6 Gemini 3.5 Flash
Google
 $0.013480 (rounded ~ $0.01) ↓ 62.5% cheaper
🏆

Gemini 3.1 Flash Lite
Google

$0.002247
vs Gemini 3.1 Pro: ↓ 93.8%
🥈

Gemini 2.5 Flash
Google

$0.002871
vs Gemini 3.1 Pro: ↓ 92%
🥉

Gemini 3.1 Flash
Google

$0.008987 (rounded ~ $0.01)
vs Gemini 3.1 Pro: ↓ 75%
#4

Grok 4.3
xAI

$0.009983
vs Gemini 3.1 Pro: ↓ 72.2%
#5

Gemini 3.5 Flash
Google

$0.013480 (rounded ~ $0.01)
vs Gemini 3.1 Pro: ↓ 62.5%
#6

Gemini 3.5 Flash
Google

$0.013480 (rounded ~ $0.01)
vs Gemini 3.1 Pro: ↓ 62.5%
✨ 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.

Beyond basic transcription, advanced analysis of podcast content can unlock deeper insights for e-commerce businesses, from identifying customer engagement patterns to extracting key topic trends. Gemini 3.1 Pro, with its robust multimodal capabilities, offers more than just accurate transcription and diarization. Its ability to process longer audio segments and potentially integrate with other data sources makes it powerful for comprehensive content analysis [18]. For your 4 hours of weekly audio, Gemini 3.1 Pro can provide high-fidelity transcripts and speaker labels, with its larger context window handling extended segments efficiently. Choose Gemini 3.1 Pro when you need a versatile AI assistant that can handle audio alongside other AI tasks, offering a blend of performance and broad utility for your e-commerce operations [2, 14].

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.