⚠️ 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
📄
OCR Support
✗ Not Available
⚡
Caching
✓ Available
90% savings
💰
Total Cost Calculation (from Plugin)
Base Cost (No Optimizations)
$619.502250 (rounded ~ $619.50)
Input: $619.500000
Output: $0.002250
Optimized Cost
$507.992250 (rounded ~ $507.99)
Input: $619.500000
Output: $0.002250
Unit: $0.000000
Fees: $0.000000
Total Savings
$111.510000
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
Multimodal Input Details
🎧 Audio
Duration: 600000 minutes
Cost: $0.000000
Detailed Cost Analysis (from Plugin)
For 500,000,000 input tokens and 1,000 output tokens:
- Input Cost: $619.500000
- Output Cost: $0.002250
- Total Cost: $507.992250 (rounded ~ $507.99)
- Cost per 1K tokens: $0.000308
- Tokens per dollar: 3,252,020 tokens
- Context Window: 1000000 tokens
Speed & Performance Analysis
With a processing speed of 850 tokens per second and 90ms time to first token:
- Processing Time: 556 hours, 3 minutes, 56.69 seconds
- Latency: 90 milliseconds to first token
- Base Throughput: 850 tokens/second
- Effective Throughput: 825 tokens/second (temperature-adjusted)
Best Use Cases
Choose Gemini 3.5 Flash for high-volume multimodal analysis and summarization; choose Voxtral Small for precision transcription and specialized audio understanding.
Want this applied to YOUR actual stack?
This calculator shows the math for Gemini 3.5 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.
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⚠️ Bulk Calculation: Total volume exceeds single-request limit of 32,000 tokens. Budgeting mode active.
🎧 600000min 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
⚡
Caching
✓ Available
90% savings
💰
Total Cost Calculation (from Plugin)
Base Cost (No Optimizations)
$12.500075
Input: $12.500000
Output: $0.000075
Optimized Cost
$10.250075
Input: $12.500000
Output: $0.000075
Unit: $0.000000
Fees: $0.000000
Total Savings
$2.250000
18.0% discount
Advanced Cost Breakdown (from Plugin)
📊 Batch API
50.0% off
Asynchronous processing discount
Detailed Cost Analysis (from Plugin)
For 500,000,000 input tokens and 1,000 output tokens:
- Input Cost: $12.500000
- Output Cost: $0.000075
- Total Cost: $10.250075
- Cost per 1K tokens: $0.000021
- Tokens per dollar: 48,780,228 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: 357 hours, 38 minutes, 22.76 seconds
- Latency: 150 milliseconds to first token
- Base Throughput: 400 tokens/second
- Effective Throughput: 388 tokens/second (temperature-adjusted)
Best Use Cases
Choose Gemini 3.5 Flash for high-volume multimodal analysis and summarization; choose Voxtral Small for precision transcription and specialized audio understanding.
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 →
🔍
No Alternatives Found
No other models in the registry support all your current input parameters.
Try adjusting some parameters to see more options.
Remove Images
Remove Video
Remove Audio
Remove OCR
Remove Tools
✨ 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.
For indie developers building live meeting note-takers, the choice between Gemini 3.5 Flash and Voxtral Small 24B centers on your specific audio pipeline architecture. Gemini 3.5 Flash serves as a high-throughput, multimodal engine, ideal for teams needing to process thousands of hours of audio while simultaneously extracting structured data, detecting speakers, and generating summaries in a single pass. Its integration with Google’s broader agentic ecosystem makes it a strong contender for complex, automated post-meeting workflows.
Conversely, Voxtral Small 24B is purpose-built for specialized audio understanding. It is a highly efficient model for teams prioritizing raw transcription accuracy and multilingual fluency in conversational settings. Because it is optimized for audio-to-text, it often outperforms generalist models in handling diverse accents, technical jargon, and overlapping speakers—common challenges in real-time meeting transcription. When evaluating these for a 10,000-hour-per-month workload, consider whether your bottleneck is raw throughput (Gemini) or transcription precision (Voxtral). Gemini excels if your notes require deep, reasoning-heavy summarization and action-item extraction, while Voxtral is likely the superior choice if your primary requirement is a stable, reliable transcript stream.
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.
