Cheapest Model for 100 Hours of Audio Transcription: Gemini 3.1 Flash Lite

Complete Analysis: 11,523,000 tokens for Gemini 3.1 Flash Lite
🎧 6000min Audio

Complete analysis of pricing, performance, and use cases for Google's Gemini 3.1 Flash Lite model with 6000min Audio.

📊 Batch API
$0.720500 Total Cost
11,523,000 Total Tokens
3 hours, 25 minutes, 29.79 seconds Processing Time
935 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 Lite
GoogleMax Context: 1,000,000 tokens
$0.25 / $1.5 per 1M tokens
▼
▼
Use Batch API (50% discount)
0%
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

$0.720500 Total Cost
$0.720125 Input Cost
$0.000375 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
11,523,000Total Tokens
$0.000063Cost per 1K
15,993,060Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

205m 29s Processing Time
1,000 Tokens/Second
80ms Time to First Token
935 Effective Speed

Model Comparison

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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 Lite Google 1000000

$0.720500
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
🎧 6000min Audio 📊 Batch API
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✓ Available
🎥
Video Analysis
✓ Available
🔧
Tool Usage
✓ Available
📄
OCR Support
✓ Available
📊
Batch API
✓ Available
⚡
Caching
✓ Available
90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.720500 Input: $0.720125
Output: $0.000375
Optimized Cost $0.720500 Input: $0.720125
Output: $0.000375
Unit: $0.000000
Fees: $0.000000

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
11,520,000 tokens
📊 Batch API
50.0% off
Asynchronous processing discount

Multimodal Input Details

🎧 Audio
Duration: 6000 minutes
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 2,000 input tokens and 1,000 output tokens:

  • Input Cost: $0.720125
  • Output Cost: $0.000375
  • Total Cost: $0.720500
  • Cost per 1K tokens: $0.000063
  • Tokens per dollar: 15,993,060 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 1,000 tokens per second and 80ms time to first token:

  • Processing Time: 3 hours, 25 minutes, 29.79 seconds
  • Latency: 80 milliseconds to first token
  • Base Throughput: 1,000 tokens/second
  • Effective Throughput: 935 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for high-volumecost-sensitive audio transcription and basic diarization in SaaS products.

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✨ Market Recommendations AI Model Registry

← Back to Gemini 3.1 Flash Lite
📋 Active Input Parameters
Input Tokens: 2,000
Output Tokens: 1,000
Batch API: Enabled (50% discount)
Audio: 6000 minutes
Rank AI Model & Provider Total Cost vs Gemini 3.1 Flash Lite
🏆 Gemini 2.5 Flash
Google
 $0.864775 (rounded ~ $0.86) Best Value ↑ 20% more
🥈 Grok 4.3
xAI
 $3.601250 (rounded ~ $3.60) ↑ 399.8% more
🥉 Gemini 3.5 Flash
Google
 $4.323000 (rounded ~ $4.32) ↑ 500% more
#4 Gemini 3.1 Flash
Google
 $5.764000 (rounded ~ $5.76) ↑ 700% more
#5 Gemini 2.5 Pro
Google
 $14.410000 ↑ 1900% more
#6 Gemini 2.5 Pro
Google
 $14.410000 ↑ 1900% more
🏆

Gemini 2.5 Flash
Google

$0.864775 (rounded ~ $0.86)
vs Gemini 3.1 Flash Lite: ↑ 20%
🥈

Grok 4.3
xAI

$3.601250 (rounded ~ $3.60)
vs Gemini 3.1 Flash Lite: ↑ 399.8%
🥉

Gemini 3.5 Flash
Google

$4.323000 (rounded ~ $4.32)
vs Gemini 3.1 Flash Lite: ↑ 500%
#4

Gemini 3.1 Flash
Google

$5.764000 (rounded ~ $5.76)
vs Gemini 3.1 Flash Lite: ↑ 700%
#5

Gemini 2.5 Pro
Google

$14.410000
vs Gemini 3.1 Flash Lite: ↑ 1900%
#6

Gemini 2.5 Pro
Google

$14.410000
vs Gemini 3.1 Flash Lite: ↑ 1900%
✨ 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.

Efficiency in Bulk Audio Processing

Scaling a podcast platform or call analytics feature requires a focus on throughput without sacrificing the structural integrity of the transcript. Gemini 3.1 Flash Lite is engineered specifically for these high-volume, cost-sensitive workloads where the primary goal is converting audio to actionable data at scale. For data analysts managing 100 hours of audio or more monthly, this model offers a streamlined path to diarization and summarization.

The Advantage of Native Multimodality

Unlike traditional workflows that require a dedicated transcription model followed by a separate LLM for analysis, Gemini 3.1 Flash Lite processes audio natively. This reduces pipeline complexity and minimizes the accumulation of ‘transcription artifacts’ that can confuse downstream reasoning. Qualitative benefits include:

  • Reduced Latency: Direct audio-to-text-to-insight processing eliminates intermediate steps.
  • Contextual Awareness: Better handling of overlapping speech and ambient noise compared to basic OCR-style audio tools.
  • Metadata Consistency: Exceptional at generating SEO-friendly descriptions and speaker-labeled transcripts.

When to Choose Flash Lite

The decision to deploy Flash Lite usually comes down to the need for a reliable engine that can keep pace with a growing content catalog. It serves as an ideal middle ground for SaaS founders who need to ship AI transcription as a core feature without the overhead of frontier-class models, providing the necessary balance of speed and contextual awareness for mid-market applications.

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 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.