Gemini 3.1 Flash Pricing for 10,000 Hours of Audio Transcription

Complete Analysis: 1,153,000,500 tokens for Gemini 3.1 Flash
🎧 600000min Audio ⚡ 20% Cached

Complete analysis of pricing, performance, and use cases for Google's Gemini 3.1 Flash model with 600000min Audio, 20% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
$472.731500 (rounded ~ $472.73) Total Cost
1,153,000,500 Total Tokens
404 hours, 21 minutes, 3.31 seconds Processing Time
792 Effective Tokens/Sec

Click Recalculate to update after making changes

ℹ️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.

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)
20%
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

$472.731500 Total Cost
$461.200000 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
1,153,000,500Total Tokens
$0.000410Cost per 1K
2,439,018Tokens per $
🔄 Dynamic Tier Pricing Active: Using Premium pricing (tier2) based on token volume.
📊 Advanced Cost Breakdown

Processing Speed

24261m 3s Processing Time
800 Tokens/Second
100ms Time to First Token
792 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 Flash Google 1000000

$472.731500 (rounded ~ $472.73)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
🎧 600000min Audio ⚡ 20% 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) $576.501500 (rounded ~ $576.50) Input: $576.500000
Output: $0.001500
Optimized Cost $472.731500 (rounded ~ $472.73) Input: $576.500000
Output: $0.001500
Unit: $0.000000
Fees: $0.000000
Total Savings $103.770000 18.0% discount

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
1,152,000,000 tokens
📊 Batch API
50.0% off
Asynchronous processing discount
📊 Dynamic Tier
Premium
tier2 pricing based on 0 tokens

Multimodal Input Details

🎧 Audio
Duration: 600000 minutes
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

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

  • Input Cost: $576.500000
  • Output Cost: $0.001500
  • Total Cost: $472.731500 (rounded ~ $472.73)
  • Cost per 1K tokens: $0.000410
  • Tokens per dollar: 2,439,018 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: 404 hours, 21 minutes, 3.31 seconds
  • Latency: 100 milliseconds to first token
  • Base Throughput: 800 tokens/second
  • Effective Throughput: 792 tokens/second (temperature-adjusted)

Best Use Cases

Large-scale audio transcriptionvoice analyticsand speaker diarization for customer support pipelines.

✨ Market Recommendations AI Model Registry

← Back to Gemini 3.1 Flash
📋 Active Input Parameters
Input Tokens: 1,000,000
Output Tokens: 500
Batch API: Enabled (50% discount)
Cached Tokens: 20%
Audio: 600000 minutes
Tools: Enabled
Rank AI Model & Provider Total Cost vs Gemini 3.1 Flash
🏆 Gemini 2.5 Pro
Google
 $1181.828750 (rounded ~ $1,181.83) Best Value ↑ 150% more
🥈 Gemini 2.5 Pro
Google
 $1181.828750 (rounded ~ $1,181.83) ↑ 150% more
🏆

Gemini 2.5 Pro
Google

$1181.828750 (rounded ~ $1,181.83)
vs Gemini 3.1 Flash: ↑ 150%
🥈

Gemini 2.5 Pro
Google

$1181.828750 (rounded ~ $1,181.83)
vs Gemini 3.1 Flash: ↑ 150%
✨ 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.

High-Volume Voice Analytics at Scale

Transcribing 10,000 hours of audio requires a delicate balance between cost-efficiency and transcription precision. For platforms processing massive volumes of customer calls or voice analytics data, Gemini 3.1 Flash offers a highly optimized path for native audio ingestion, often eliminating the need for complex, multi-stage speech-to-text pipelines.

Gemini 3.1 Flash excels in these high-volume environments due to its multimodal versatility. By processing audio directly, the model can handle nuances like regional accents, varied speaking speeds, and background noise, which are frequent hurdles in large-scale voice datasets. This capability simplifies your architecture by consolidating the transcription and analysis steps into a single, streamlined process.

For enterprise teams, the primary goal is turning raw audio into actionable intelligence as quickly as possible. Gemini 3.1 Flash provides the necessary throughput for this type of industrial-scale demand, ensuring that your transcription pipeline remains performant even under heavy load. When assessing this model for your project, look beyond simple word-error rates. Evaluate the model’s ability to perform speaker diarization and extract intent directly from the raw audio stream. Consolidating these tasks not only reduces the number of components in your infrastructure but also minimizes the risk of errors associated with stitching together disparate transcription and analysis services. As you scale toward 10,000 hours, prioritize a model that delivers consistent, high-fidelity results without requiring constant fine-tuning for different acoustic environments.

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.