60 Minutes Audio Weekly: Gemini 3.1 Flash vs Gemini 3.1 Pro

Gemini 3.1 Flash vs Gemini 3.1 Pro
Complete Comparison: 15,000 input tokens × 1,000 output tokens
Comparison Mode
🎧 60min Audio ⚡ 50% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 60min Audio, 50% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria Gemini 3.1 Flash
Google
Gemini 3.1 Pro
Google
Calculation Results (Current Inputs) (60min audio, 50% cached)
Input Tokens 15,000 15,000
Output Tokens 1,000 1,000
Cost Breakdown
Input Cost $0.032550 (rounded ~ $0.03)Best $0.130200Worst
Output Cost $0.001500Best $0.006000 (rounded ~ $0.01)Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.019403 Best Value $0.077610 (rounded ~ $0.08) Most Expensive
Processing Time 2 minutes, 55.66 seconds Fastest 5 minutes, 51.14 seconds Slowest
Tokens per Second 800Fastest 400Slowest
Time to First Token 100ms Best 220ms Worst
Cost per 1K tokens $0.000148Best $0.000592Worst
Tokens per Dollar 6,762,015Best Value 1,690,504Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.250000Best $1.000000Worst
Output Cost / 1M (Base) $1.500000Best $6.000000Worst
Input Cost / 1M (Optimized) $0.125000 (rounded ~ $0.13)Best
Optimizations: 50.0% batch
$0.500000Worst
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $0.750000Best
Optimizations: 50.0% batch
$3.000000Worst
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Video Support ✓ Supported ✓ Supported
Audio Support
60
✓ Supported ✓ Supported
Caching Support
50
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
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Second Model

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All other parameters will be preserved from the current comparison.

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Select AI Model

Gemini 3.1 Flash
GoogleMax Context: 1,000,000 tokens
$0.5 / $3 per 1M tokens (Tier 1)
State-dependent pricing active. Current tier: Standard
▼
▼
Use Batch API (50% discount)
50%
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

$0.019403 Total Cost
$0.016275 Input Cost
$0.001500 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
131,200Total Tokens
$0.000148Cost per 1K
6,762,015Tokens per $
🔄 Dynamic Tier Pricing Active: Using Standard pricing (tier1) based on token volume.
📊 Advanced Cost Breakdown

Processing Speed

2m 55s Processing Time
800 Tokens/Second
100ms Time to First Token
748 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.

Gemini 3.1 Flash Google 1000000

$0.019403
Total Cost
🎧 60min Audio ⚡ 50% Cached 📊 Batch API
👁️
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) $0.034050 (rounded ~ $0.03) Input: $0.032550 (rounded ~ $0.03)
Output: $0.001500
Optimized Cost $0.019403 Input: $0.032550 (rounded ~ $0.03)
Output: $0.001500
Unit: $0.000000
Fees: $0.000000
Total Savings $0.014648 (rounded ~ $0.01) 43.0% discount

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
115,200 tokens
📊 Batch API
50.0% off
Asynchronous processing discount
📊 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 15,000 input tokens and 1,000 output tokens:

  • Input Cost: $0.032550 (rounded ~ $0.03)
  • Output Cost: $0.001500
  • Total Cost: $0.019403
  • Cost per 1K tokens: $0.000148
  • Tokens per dollar: 6,762,015 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: 2 minutes, 55.66 seconds
  • Latency: 100 milliseconds to first token
  • Base Throughput: 800 tokens/second
  • Effective Throughput: 748 tokens/second (temperature-adjusted)

Best Use Cases

Choose Flash for direct TTS script-to-audio workflows; choose Pro for complex RAG-backed narration.

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 →

Gemini 3.1 Pro Google 2000000

$0.077610 (rounded ~ $0.08)
Total Cost
🎧 60min Audio ⚡ 50% Cached 📊 Batch API
👁️
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) $0.136200 (rounded ~ $0.14) Input: $0.130200
Output: $0.006000 (rounded ~ $0.01)
Optimized Cost $0.077610 (rounded ~ $0.08) Input: $0.130200
Output: $0.006000 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.058590 (rounded ~ $0.06) 43.0% discount

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
115,200 tokens
📊 Batch API
50.0% off
Asynchronous processing discount
📊 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 15,000 input tokens and 1,000 output tokens:

  • Input Cost: $0.130200
  • Output Cost: $0.006000 (rounded ~ $0.01)
  • Total Cost: $0.077610 (rounded ~ $0.08)
  • Cost per 1K tokens: $0.000592
  • Tokens per dollar: 1,690,504 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: 5 minutes, 51.14 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 374 tokens/second (temperature-adjusted)

Best Use Cases

Choose Flash for direct TTS script-to-audio workflows; choose Pro for complex RAG-backed narration.

Want this applied to YOUR actual stack?

This calculator shows the math for Gemini 3.1 Pro. 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 Gemini 3.1 Flash
📋 Active Input Parameters
Input Tokens: 15,000
Output Tokens: 1,000
Batch API: Enabled (50% discount)
Cached Tokens: 50%
Audio: 60 minutes
Rank AI Model & Provider Total Cost vs Gemini 3.1 Flash vs Gemini 3.1 Pro
🏆 Grok 4.1 Fast
xAI
 $0.003706 Best Value ↓ 80.9% cheaper ↓ 95.2% cheaper
🥈 Gemini 3.1 Flash Lite
Google
 $0.004851 ↓ 75% cheaper ↓ 93.8% cheaper
🥉 Gemini 2.5 Flash
Google
 $0.005996 (rounded ~ $0.01) ↓ 69.1% cheaper ↓ 92.3% cheaper
#4 Gemini 2.5 Pro
Google
 $0.049756 ↑ 156.4% more ↓ 35.9% cheaper
#5 Grok 4
xAI
 $0.057458 (rounded ~ $0.06) ↑ 196.1% more ↓ 26% cheaper
#6 Grok 4.1
xAI
 $0.057458 (rounded ~ $0.06) ↑ 196.1% more ↓ 26% cheaper
#7 Grok 4.1
xAI
 $0.057458 (rounded ~ $0.06) ↑ 196.1% more ↓ 26% cheaper
🏆

Grok 4.1 Fast
xAI

$0.003706
vs Gemini 3.1 Flash: ↓ 80.9%
vs Gemini 3.1 Pro: ↓ 95.2%
🥈

Gemini 3.1 Flash Lite
Google

$0.004851
vs Gemini 3.1 Flash: ↓ 75%
vs Gemini 3.1 Pro: ↓ 93.8%
🥉

Gemini 2.5 Flash
Google

$0.005996 (rounded ~ $0.01)
vs Gemini 3.1 Flash: ↓ 69.1%
vs Gemini 3.1 Pro: ↓ 92.3%
#4

Gemini 2.5 Pro
Google

$0.049756
vs Gemini 3.1 Flash: ↑ 156.4%
vs Gemini 3.1 Pro: ↓ 35.9%
#5

Grok 4
xAI

$0.057458 (rounded ~ $0.06)
vs Gemini 3.1 Flash: ↑ 196.1%
vs Gemini 3.1 Pro: ↓ 26%
#6

Grok 4.1
xAI

$0.057458 (rounded ~ $0.06)
vs Gemini 3.1 Flash: ↑ 196.1%
vs Gemini 3.1 Pro: ↓ 26%
#7

Grok 4.1
xAI

$0.057458 (rounded ~ $0.06)
vs Gemini 3.1 Flash: ↑ 196.1%
vs Gemini 3.1 Pro: ↓ 26%
✨ 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.

For localization managers managing 60 minutes of weekly synthesized audio, choosing the right model architecture is critical for balancing expressive narration with cost-efficiency. Gemini 3.1 Flash excels in text-to-speech workflows, providing granular control over vocal style, pacing, and tone through natural language tagging. This makes it a standout choice for high-volume, multi-language narration where consistent persona maintenance across disparate scripts is a recurring challenge.

Conversely, Gemini 3.1 Pro, while powerful, carries overhead that may be unnecessary for pure TTS tasks. However, it remains a superior option if your localization workflow involves complex pre-processing, such as synthesizing culturally nuanced content that requires deep reasoning or multi-step logic before audio generation. While Flash is optimized for speed and output-specific controls, Pro offers deeper contextual awareness for handling highly variable, long-form documents that need restructuring before reaching the audio engine.

Managers should consider the balance between pure generation speed and the need for upstream content analysis. If your pipeline is primarily script-to-audio, Flash’s specialized audio controls provide significant development speed and quality benefits. If your pipeline involves heavy RAG or complex document parsing as part of the translation process, Pro’s multimodal reasoning capabilities justify the investment. Both models offer strong multilingual support, ensuring that your 60-minute weekly target remains consistent across global markets.

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.