Audio Transcription: Gemini 3.1 Flash for 50-Hour Weekly Workloads

Complete Analysis: 6,765,000 tokens for Gemini 3.1 Flash
🎧 3000min Audio ⚡ 20% Cached

Complete analysis of pricing, performance, and use cases for Google's Gemini 3.1 Flash model with 3000min Audio, 20% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
$2.786600 (rounded ~ $2.79) Total Cost
6,765,000 Total Tokens
2 hours, 30 minutes, 48.37 seconds Processing Time
748 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

$2.786600 Total Cost
$2.704000 Input Cost
$0.015000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
6,765,000Total Tokens
$0.000412Cost per 1K
2,427,690Tokens per $
🔄 Dynamic Tier Pricing Active: Using Premium pricing (tier2) based on token volume.
📊 Advanced Cost Breakdown

Processing Speed

150m 48s 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

Gemini 3.1 Flash Google 1000000

$2.786600 (rounded ~ $2.79)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
🎧 3000min 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) $3.395000 (rounded ~ $3.40) Input: $3.380000
Output: $0.015000 (rounded ~ $0.02)
Optimized Cost $2.786600 (rounded ~ $2.79) Input: $3.380000
Output: $0.015000 (rounded ~ $0.02)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.608400 (rounded ~ $0.61) 17.9% discount

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
5,760,000 tokens
📊 Batch API
50.0% off
Asynchronous processing discount
📊 Dynamic Tier
Premium
tier2 pricing based on 0 tokens

Multimodal Input Details

🎧 Audio
Duration: 3000 minutes
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 1,000,000 input tokens and 5,000 output tokens:

  • Input Cost: $3.380000
  • Output Cost: $0.015000 (rounded ~ $0.02)
  • Total Cost: $2.786600 (rounded ~ $2.79)
  • Cost per 1K tokens: $0.000412
  • Tokens per dollar: 2,427,690 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 hours, 30 minutes, 48.37 seconds
  • Latency: 100 milliseconds to first token
  • Base Throughput: 800 tokens/second
  • Effective Throughput: 748 tokens/second (temperature-adjusted)

Best Use Cases

High-volume audio transcriptionsentiment analysisand call summarization for SaaS platforms.

Want this applied to YOUR actual stack?

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✨ Market Recommendations AI Model Registry

← Back to Gemini 3.1 Flash
📋 Active Input Parameters
Input Tokens: 1,000,000
Output Tokens: 5,000
Batch API: Enabled (50% discount)
Cached Tokens: 20%
Audio: 3000 minutes
Tools: Enabled
Rank AI Model & Provider Total Cost vs Gemini 3.1 Flash
🏆 Gemini 3.5 Flash-Lite
Google
 $0.418865 (rounded ~ $0.42) Best Value ↓ 85% cheaper
🥈 Gemini 3.8 Flash
Google
 $1.044038 (rounded ~ $1.04) ↓ 62.5% cheaper
🥉 Gemini 3.6 Flash
Google
 $2.088075 (rounded ~ $2.09) ↓ 25.1% cheaper
#4 Gemini 3.6 Flash
Google
 $2.088075 (rounded ~ $2.09) ↓ 25.1% cheaper
🏆

Gemini 3.5 Flash-Lite
Google

$0.418865 (rounded ~ $0.42)
vs Gemini 3.1 Flash: ↓ 85%
🥈

Gemini 3.8 Flash
Google

$1.044038 (rounded ~ $1.04)
vs Gemini 3.1 Flash: ↓ 62.5%
🥉

Gemini 3.6 Flash
Google

$2.088075 (rounded ~ $2.09)
vs Gemini 3.1 Flash: ↓ 25.1%
#4

Gemini 3.6 Flash
Google

$2.088075 (rounded ~ $2.09)
vs Gemini 3.1 Flash: ↓ 25.1%
✨ 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.

Scaling Audio Analysis Pipelines

For organizations processing large volumes of voice data, such as customer support teams, interview analysis, or podcast platforms, selecting an efficient model is critical. With 50 hours of weekly audio, the primary challenge is maintaining transcription accuracy while managing the high token density of audio inputs. Gemini 3.1 Flash excels here by offering native audio understanding capabilities that bypass the need for separate, multi-step transcription services.

This model is particularly well-suited for high-volume pipelines where latency and cost-efficiency are prioritized over the deep reasoning required for complex creative tasks. By natively processing audio files, it streamlines the workflow, effectively reducing the architectural complexity often associated with chaining separate speech-to-text and language models.

When to choose this model:

  • High-Throughput Needs: Ideal for daily batch processing of customer calls where speed is essential for real-time insights.
  • Unified Workflow: Best for teams looking to consolidate their audio processing into a single API call rather than managing separate STT and LLM integrations.
  • Content Summarization: Strong performance when extracting actionable insights, sentiment analysis, or structured metadata from long-form audio content.

While some specialized models might offer slightly higher precision in specific accents, the integration efficiency of this model makes it a top contender for SaaS products needing to scale features like call summarization without ballooning their infrastructure budget.

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.

Related model pricing

Gemini 3.1 Flash currently costs $0.50 / $3.00 per 1M tokens. These are the models worth pricing against it, taken live from the tracked registry.

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