Voxtral Small 24B Cost for Real-Time Voice Agents: 30-Minute Streams

Gemini 3.8 Flash vs Voxtral Small 24B
Complete Comparison: 30,000 input tokens × 500 output tokens
Comparison Mode
🎧 30min Audio ⚡ 20% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 30min Audio, 20% Cached.

⚡ Caching Optimized (up to 90% savings)
Comparison Criteria Gemini 3.8 Flash
Google
Voxtral Small 24B
Mistral AI
Calculation Results (Current Inputs) (30min audio, 20% cached)
Input Tokens 30,000 30,000
Output Tokens 500 500
Cost Breakdown
Input Cost $0.065700 (rounded ~ $0.07)Worst $0.003000Best
Output Cost $0.001875Worst $0.000150Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.055749 (rounded ~ $0.06) Most Expensive $0.002610 Best Value
Processing Time 4 minutes, 32.25 seconds Slowest 1 minute, 20.24 seconds Fastest
Tokens per Second 340Slowest 400Fastest
Time to First Token 105ms Best 150ms Worst
Cost per 1K tokens $0.000633Worst $0.000086Best
Tokens per Dollar 1,580,297Worst Value 11,685,824Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.750000Worst $0.100000Best
Output Cost / 1M (Base) $3.750000Worst $0.300000Best
Input Cost / 1M (Optimized) $0.750000Worst
Optimizations: No optimizations applied
$0.100000Best
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $3.750000Worst
Optimizations: No optimizations applied
$0.300000Best
Optimizations: No optimizations applied
Capabilities & Advanced Features
Images Support ✓ Supported ✗ Not Supported
Video Support ✓ Supported ✗ Not Supported
Audio Support
30
✓ Supported ✓ Supported
Caching Support
20
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✗ Not Supported
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Select AI Model

Gemini 3.8 Flash
GoogleMax Context: 1,048,576 tokens
$0.75 / $3.75 per 1M tokens
▼
▼
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

$0.055749 Total Cost
$0.052560 Input Cost
$0.001875 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
88,100Total Tokens
$0.000633Cost per 1K
1,580,297Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

4m 32s Processing Time
340 Tokens/Second
105ms Time to First Token
324 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
📊 Multiple Models Detected: This page contains data for 2 models. See the detailed comparison table above, and switch between models using tabs below.

Gemini 3.8 Flash Google 1048576

$0.055749 (rounded ~ $0.06)
Total Cost
🎧 30min Audio ⚡ 20% Cached 🔧 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) $0.067575 (rounded ~ $0.07) Input: $0.065700 (rounded ~ $0.07)
Output: $0.001875
Optimized Cost $0.055749 (rounded ~ $0.06) Input: $0.065700 (rounded ~ $0.07)
Output: $0.001875
Unit: $0.000000
Fees: $0.000000
Total Savings $0.011826 (rounded ~ $0.01) 17.5% discount

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
57,600 tokens

Multimodal Input Details

🎧 Audio
Duration: 30 minutes
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 30,000 input tokens and 500 output tokens:

  • Input Cost: $0.065700 (rounded ~ $0.07)
  • Output Cost: $0.001875
  • Total Cost: $0.055749 (rounded ~ $0.06)
  • Cost per 1K tokens: $0.000633
  • Tokens per dollar: 1,580,297 tokens
  • Context Window: 1048576 tokens

Speed & Performance Analysis

With a processing speed of 340 tokens per second and 105ms time to first token:

  • Processing Time: 4 minutes, 32.25 seconds
  • Latency: 105 milliseconds to first token
  • Base Throughput: 340 tokens/second
  • Effective Throughput: 324 tokens/second (temperature-adjusted)

Best Use Cases

Choose Voxtral for latency-sensitive conversational agents; use Gemini 3.8 Flash for agents requiring deep reasoning.

Want this applied to YOUR actual stack?

This calculator shows the math for Gemini 3.8 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

$0.002610
Total Cost
🎧 30min Audio ⚡ 20% Cached 🔧 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) $0.003150 Input: $0.003000
Output: $0.000150
Optimized Cost $0.002610 Input: $0.003000
Output: $0.000150
Unit: $0.000000
Fees: $0.000000
Total Savings $0.000540 17.1% discount

Detailed Cost Analysis (from Plugin)

For 30,000 input tokens and 500 output tokens:

  • Input Cost: $0.003000
  • Output Cost: $0.000150
  • Total Cost: $0.002610
  • Cost per 1K tokens: $0.000086
  • Tokens per dollar: 11,685,824 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: 1 minute, 20.24 seconds
  • Latency: 150 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 381 tokens/second (temperature-adjusted)

Best Use Cases

Choose Voxtral for latency-sensitive conversational agents; use Gemini 3.8 Flash for agents requiring deep reasoning.

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 3.8 Flash
📋 Active Input Parameters
Input Tokens: 30,000
Output Tokens: 500
Cached Tokens: 20%
Audio: 30 minutes
Tools: Enabled
Rank AI Model & Provider Total Cost vs Gemini 3.8 Flash vs Voxtral Small 24B
🏆 Gemini 3.1 Flash Lite
Google
 $0.018708 (rounded ~ $0.02) Best Value ↓ 66.4% cheaper ↑ 616.8% more
🥈 Gemini 3.5 Flash-Lite
Google
 $0.022800 (rounded ~ $0.02) ↓ 59.1% cheaper ↑ 773.5% more
🥉 Gemini 2.5 Flash
Google
 $0.022800 (rounded ~ $0.02) ↓ 59.1% cheaper ↑ 773.5% more
#4 Gemini 3.1 Flash
Google
 $0.037416 (rounded ~ $0.04) ↓ 32.9% cheaper ↑ 1333.6% more
#5 Grok 4.3
xAI
 $0.091040 (rounded ~ $0.09) ↑ 63.3% more ↑ 3388.1% more
#6 Gemini 2.5 Pro
Google
 $0.094790 (rounded ~ $0.09) ↑ 70% more ↑ 3531.8% more
#7 Gemini 3.6 Flash
Google
 $0.111498 (rounded ~ $0.11) ↑ 100% more ↑ 4172% more
#8 Gemini 3.5 Flash
Google
 $0.112248 (rounded ~ $0.11) ↑ 101.3% more ↑ 4200.7% more
#9 Gemini 3.5 Flash
Google
 $0.112248 (rounded ~ $0.11) ↑ 101.3% more ↑ 4200.7% more
🏆

Gemini 3.1 Flash Lite
Google

$0.018708 (rounded ~ $0.02)
vs Gemini 3.8 Flash: ↓ 66.4%
vs Voxtral Small 24B: ↑ 616.8%
🥈

Gemini 3.5 Flash-Lite
Google

$0.022800 (rounded ~ $0.02)
vs Gemini 3.8 Flash: ↓ 59.1%
vs Voxtral Small 24B: ↑ 773.5%
🥉

Gemini 2.5 Flash
Google

$0.022800 (rounded ~ $0.02)
vs Gemini 3.8 Flash: ↓ 59.1%
vs Voxtral Small 24B: ↑ 773.5%
#4

Gemini 3.1 Flash
Google

$0.037416 (rounded ~ $0.04)
vs Gemini 3.8 Flash: ↓ 32.9%
vs Voxtral Small 24B: ↑ 1333.6%
#5

Grok 4.3
xAI

$0.091040 (rounded ~ $0.09)
vs Gemini 3.8 Flash: ↑ 63.3%
vs Voxtral Small 24B: ↑ 3388.1%
#6

Gemini 2.5 Pro
Google

$0.094790 (rounded ~ $0.09)
vs Gemini 3.8 Flash: ↑ 70%
vs Voxtral Small 24B: ↑ 3531.8%
#7

Gemini 3.6 Flash
Google

$0.111498 (rounded ~ $0.11)
vs Gemini 3.8 Flash: ↑ 100%
vs Voxtral Small 24B: ↑ 4172%
#8

Gemini 3.5 Flash
Google

$0.112248 (rounded ~ $0.11)
vs Gemini 3.8 Flash: ↑ 101.3%
vs Voxtral Small 24B: ↑ 4200.7%
#9

Gemini 3.5 Flash
Google

$0.112248 (rounded ~ $0.11)
vs Gemini 3.8 Flash: ↑ 101.3%
vs Voxtral Small 24B: ↑ 4200.7%
✨ 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.

Real-Time Voice Agent Performance: Voxtral vs. Gemini

When engineering a real-time voice agent, the choice between a general-purpose model like Gemini 3.8 Flash and an audio-first architecture like Voxtral Small 24B significantly impacts both latency and reliability. Voxtral is engineered specifically for voice interactions, making it a strong contender when your primary goal is sub-second response times for live customer-facing applications.

Voxtral excels in scenarios where low-latency speech understanding is non-negotiable. Its architecture is optimized for the conversational turn-taking inherent in live voice agents, reducing the overhead that can sometimes cause delays in general-purpose multimodal models. By handling audio inputs with specialized tuning, it minimizes the word error rate during transcription, which directly improves the agent’s ability to trigger accurate downstream tool calls or function requests.

Gemini 3.8 Flash, conversely, shines when your agent needs to perform deep reasoning or complex logic alongside voice input. If your voice agent is merely a gateway to an intricate, multi-step process—such as navigating a database, performing real-time calculations, or managing complex enterprise state—the reasoning capabilities of Gemini 3.8 Flash offer a distinct advantage. It is less about raw speed in this comparison and more about what the agent does *after* it understands the spoken input. Choose Voxtral when speed and speech precision are the primary drivers of your user experience, and opt for Gemini 3.8 Flash when the agent’s intelligence, structured reasoning, and ability to navigate complex instructions are the critical success factors for your 30-minute voice streams.

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 3.8 Flash currently costs $0.75 / $3.75 per 1M tokens. These are the models worth pricing against it, taken live from the tracked registry.

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