Voice/Audio Scale: Gemini 3.1 Flash vs. Voxtral Small 24B for 1,000 Hours Monthly Transcription

Gemini 3.1 Flash vs Voxtral Small 24B
Complete Comparison: 1,000 input tokens × 500 output tokens
Comparison Mode
🎧 60000min Audio ⚡ 20% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 60000min Audio, 20% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria Gemini 3.1 Flash
Google
Voxtral Small 24B
Mistral AI
Calculation Results (Current Inputs) (60000min audio, 20% cached)
Input Tokens 1,000 1,000
Output Tokens 500 500
Cost Breakdown
Input Cost $57.600500Worst $0.000025Best
Output Cost $0.001500Worst $0.000038Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $47.233910 (rounded ~ $47.23) Most Expensive $0.000058 Best Value
Processing Time 40 hours, 48 minutes, 2.09 seconds Slowest 4.01 seconds Fastest
Tokens per Second 800Fastest 400Slowest
Time to First Token 100ms Best 150ms Worst
Cost per 1K tokens $0.000410Worst $0.000039Best
Tokens per Dollar 2,438,958Worst Value 25,862,069Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.500000Worst $0.025000 (rounded ~ $0.03)Best
Output Cost / 1M (Base) $3.000000Worst $0.075000 (rounded ~ $0.08)Best
Input Cost / 1M (Optimized) $0.250000Worst
Optimizations: 50.0% batch
$0.012500 (rounded ~ $0.01)Best
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $1.500000Worst
Optimizations: 50.0% batch
$0.037500 (rounded ~ $0.04)Best
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support ✓ Supported ✗ Not Supported
Video Support ✓ Supported ✗ Not Supported
Audio Support
60000
✓ Supported ✓ Supported
Caching Support
20
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✗ Not Supported
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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

$47.233910 Total Cost
$46.080400 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
115,201,500Total Tokens
$0.000410Cost per 1K
2,438,958Tokens per $
🔄 Dynamic Tier Pricing Active: Using Premium pricing (tier2) based on token volume.
📊 Advanced Cost Breakdown

Processing Speed

2448m 2s Processing Time
800 Tokens/Second
100ms Time to First Token
784 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

$47.233910 (rounded ~ $47.23)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
🎧 60000min 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) $57.602000 (rounded ~ $57.60) Input: $57.600500
Output: $0.001500
Optimized Cost $47.233910 (rounded ~ $47.23) Input: $57.600500
Output: $0.001500
Unit: $0.000000
Fees: $0.000000
Total Savings $10.368090 (rounded ~ $10.37) 18.0% discount

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
115,200,000 tokens
📊 Batch API
50.0% off
Asynchronous processing discount
📊 Dynamic Tier
Premium
tier2 pricing based on 0 tokens

Multimodal Input Details

🎧 Audio
Duration: 60000 minutes
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 1,000 input tokens and 500 output tokens:

  • Input Cost: $57.600500
  • Output Cost: $0.001500
  • Total Cost: $47.233910 (rounded ~ $47.23)
  • Cost per 1K tokens: $0.000410
  • Tokens per dollar: 2,438,958 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: 40 hours, 48 minutes, 2.09 seconds
  • Latency: 100 milliseconds to first token
  • Base Throughput: 800 tokens/second
  • Effective Throughput: 784 tokens/second (temperature-adjusted)

Best Use Cases

Choosing between native multimodal ingestion (Gemini) and specialized high-throughput transcription (Voxtral) for student/teacher interaction analysis.

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 →

Voxtral Small 24B Mistral AI

$0.000058
Total Cost
🎧 60000min Audio ⚡ 20% Cached 📊 Batch API 🔧 Tools
👁️
Vision/Images
✗ Not Available
🎧
Audio Processing
✓ Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✗ Not Available requested
📄
OCR Support
✗ Not Available
📊
Batch API
✓ Available
⚡
Caching
✓ Available
90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.000063 Input: $0.000025
Output: $0.000038
Optimized Cost $0.000058 Input: $0.000025
Output: $0.000038
Unit: $0.000000
Fees: $0.000000
Total Savings $0.000005 7.2% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 1,000 input tokens and 500 output tokens:

  • Input Cost: $0.000025
  • Output Cost: $0.000038
  • Total Cost: $0.000058
  • Cost per 1K tokens: $0.000039
  • Tokens per dollar: 25,862,069 tokens
  • Context Window: 32000 tokens

Speed & Performance Analysis

With a processing speed of 400 tokens per second and 150ms time to first token:

  • Processing Time: 4.01 seconds
  • Latency: 150 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 392 tokens/second (temperature-adjusted)

Best Use Cases

Choosing between native multimodal ingestion (Gemini) and specialized high-throughput transcription (Voxtral) for student/teacher interaction analysis.

Want this applied to YOUR actual stack?

This calculator shows the math for Voxtral Small 24B. 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: 1,000
Output Tokens: 500
Batch API: Enabled (50% discount)
Cached Tokens: 20%
Audio: 60000 minutes
Tools: Enabled
Rank AI Model & Provider Total Cost vs Gemini 3.1 Flash vs Voxtral Small 24B
🏆 Gemini 3.1 Flash Lite
Google
 $5.904239 (rounded ~ $5.90) Best Value ↓ 87.5% cheaper ↑ 10179622% more
🥈 Gemini 3.5 Flash-Lite
Google
 $7.085174 (rounded ~ $7.09) ↓ 85% cheaper ↑ 12215717.2% more
🥉 Gemini 2.5 Flash
Google
 $7.085174 (rounded ~ $7.09) ↓ 85% cheaper ↑ 12215717.2% more
#4 Gemini 3.8 Flash
Google
 $17.712623 (rounded ~ $17.71) ↓ 62.5% cheaper ↑ 30538904.3% more
#5 Gemini 3.6 Flash
Google
 $35.425245 (rounded ~ $35.43) ↓ 25% cheaper ↑ 61077908.6% more
#6 Gemini 3.5 Flash
Google
 $35.425433 (rounded ~ $35.43) ↓ 25% cheaper ↑ 61078231.9% more
#7 Gemini 2.5 Pro
Google
 $118.084775 (rounded ~ $118.08) ↑ 150% more ↑ 203594339.7% more
#8 Grok 4.3
xAI
 $188.931640 (rounded ~ $188.93) ↑ 300% more ↑ 325744106.9% more
#9 Grok 4.3
xAI
 $188.931640 (rounded ~ $188.93) ↑ 300% more ↑ 325744106.9% more
🏆

Gemini 3.1 Flash Lite
Google

$5.904239 (rounded ~ $5.90)
vs Gemini 3.1 Flash: ↓ 87.5%
vs Voxtral Small 24B: ↑ 10179622%
🥈

Gemini 3.5 Flash-Lite
Google

$7.085174 (rounded ~ $7.09)
vs Gemini 3.1 Flash: ↓ 85%
vs Voxtral Small 24B: ↑ 12215717.2%
🥉

Gemini 2.5 Flash
Google

$7.085174 (rounded ~ $7.09)
vs Gemini 3.1 Flash: ↓ 85%
vs Voxtral Small 24B: ↑ 12215717.2%
#4

Gemini 3.8 Flash
Google

$17.712623 (rounded ~ $17.71)
vs Gemini 3.1 Flash: ↓ 62.5%
vs Voxtral Small 24B: ↑ 30538904.3%
#5

Gemini 3.6 Flash
Google

$35.425245 (rounded ~ $35.43)
vs Gemini 3.1 Flash: ↓ 25%
vs Voxtral Small 24B: ↑ 61077908.6%
#6

Gemini 3.5 Flash
Google

$35.425433 (rounded ~ $35.43)
vs Gemini 3.1 Flash: ↓ 25%
vs Voxtral Small 24B: ↑ 61078231.9%
#7

Gemini 2.5 Pro
Google

$118.084775 (rounded ~ $118.08)
vs Gemini 3.1 Flash: ↑ 150%
vs Voxtral Small 24B: ↑ 203594339.7%
#8

Grok 4.3
xAI

$188.931640 (rounded ~ $188.93)
vs Gemini 3.1 Flash: ↑ 300%
vs Voxtral Small 24B: ↑ 325744106.9%
#9

Grok 4.3
xAI

$188.931640 (rounded ~ $188.93)
vs Gemini 3.1 Flash: ↑ 300%
vs Voxtral Small 24B: ↑ 325744106.9%
✨ 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.

Optimizing Transcription Pipelines in EdTech

For EdTech product managers building real-time tutoring and meeting note solutions, transcription accuracy and latency are the primary drivers of user retention. When processing high volumes like 1,000 hours of audio monthly, selecting the right model requires balancing native audio understanding with architectural efficiency.

Gemini 3.1 Flash excels in multimodal environments where native audio and video inputs are processed alongside text. Its ability to ingest audio directly reduces the complexity of pre-processing pipelines, which is a major advantage for live tutoring sessions where every millisecond counts. For teams already deep in the Google ecosystem, the integration is often seamless.

Voxtral Small 24B, conversely, represents a specialized approach to audio-input tasks. It is often favored by engineering teams looking for a performant, lightweight model that minimizes overhead. While it provides excellent value for high-throughput transcription, it may require more sophisticated orchestration if your pipeline demands complex, multi-step analysis beyond simple transcription. For compliance-heavy EdTech use cases, evaluating how each model handles pedagogical terminology and diverse student accents is critical. If your application prioritizes native multimodal support, Gemini offers a robust path forward. If you are building a modular pipeline that demands high-performance, specialized audio processing at scale, Voxtral provides a compelling alternative for your production architecture.

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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