⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
🎧 600000min Audio
⚡ 50% 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)
$2504.009000 (rounded ~ $2,504.01)
Input: $2504.000000
Output: $0.009000
Optimized Cost
$1377.209000
Input: $2504.000000
Output: $0.009000
Unit: $0.000000
Fees: $0.000000
Total Savings
$1126.800000
45.0% discount
Advanced Cost Breakdown (from Plugin)
🖼️ Multimodal Input
$0.000000
1,152,000,000 tokens
📊 Batch API
50.0% off
Asynchronous processing discount
📊 Dynamic Tier
Premium
tier2 pricing based on 0 tokens
Multimodal Input Details
🎧 Audio
Duration: 600000 minutes
Cost: $0.000000
Detailed Cost Analysis (from Plugin)
For 100,000,000 input tokens and 1,000 output tokens:
- Input Cost: $2504.000000
- Output Cost: $0.009000
- Total Cost: $1377.209000
- Cost per 1K tokens: $0.001100
- Tokens per dollar: 909,086 tokens
- Context Window: 1000000 tokens
Speed & Performance Analysis
With a processing speed of 400 tokens per second and 220ms time to first token:
- Processing Time: 886 hours, 50 minutes, 2.73 seconds
- Latency: 220 milliseconds to first token
- Base Throughput: 400 tokens/second
- Effective Throughput: 392 tokens/second (temperature-adjusted)
Best Use Cases
Ideal for enterprise-scale clinical transcription and audio-to-text summarization pipelines requiring high accuracy.
Want this applied to YOUR actual stack?
This calculator shows the math for Gemini 3.1 Pro. 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 →
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
🎧 600000min Audio
⚡ 50% 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)
$2504.004000 (rounded ~ $2,504.00)
Input: $2504.000000
Output: $0.004000
Optimized Cost
$1377.204000 (rounded ~ $1,377.20)
Input: $2504.000000
Output: $0.004000
Unit: $0.000000
Fees: $0.000000
Total Savings
$1126.800000
45.0% discount
Advanced Cost Breakdown (from Plugin)
🖼️ Multimodal Input
$0.000000
1,152,000,000 tokens
📊 Batch API
20.0% off
Asynchronous processing discount
🏔️ Context Cliff
Premium Tier
>200,000 tokens triggered premium pricing
📊 Cliff Pricing
Premium
premium pricing (threshold: 200,000)
Multimodal Input Details
🎧 Audio
Duration: 600000 minutes
Cost: $0.000000
Detailed Cost Analysis (from Plugin)
For 100,000,000 input tokens and 1,000 output tokens:
- Input Cost: $2504.000000
- Output Cost: $0.004000
- Total Cost: $1377.204000 (rounded ~ $1,377.20)
- Cost per 1K tokens: $0.001100
- Tokens per dollar: 909,089 tokens
- Context Window: 1000000 tokens
Speed & Performance Analysis
With a processing speed of 520 tokens per second and 190ms time to first token:
- Processing Time: 682 hours, 10 minutes, 48.30 seconds
- Latency: 190 milliseconds to first token
- Base Throughput: 520 tokens/second
- Effective Throughput: 510 tokens/second (temperature-adjusted)
Best Use Cases
Ideal for enterprise-scale clinical transcription and audio-to-text summarization pipelines requiring high accuracy.
Want this applied to YOUR actual stack?
This calculator shows the math for Grok 4.3. 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 healthcare organizations processing 10,000 hours of clinical audio per month, the choice between Gemini 3.1 Pro and Grok 4.3 hinges on your integration requirements and the complexity of the clinical narratives. Gemini 3.1 Pro excels in environments that require native multimodal handling, particularly when clinical notes involve long-context audio files that must be synthesized alongside existing patient records or multimodal inputs like lab reports and imaging metadata. Its architecture is built for extended reasoning, making it suitable for multi-turn clinical encounters where maintaining continuity over long sessions is critical to avoiding transcription gaps.
Grok 4.3, conversely, is optimized for speed and real-time responsiveness. For high-volume transcription pipelines where latency is a primary concern—such as in urgent care or rapid-throughput outpatient settings—Grok 4.3 provides a streamlined approach. Its architecture favors concise extraction over deep reasoning chains, which can be an advantage when the goal is to quickly generate structured summaries from straightforward patient encounters. However, when dealing with complex, multi-specialty clinical discussions that require nuanced understanding of medical terminology or assertion status, Gemini 3.1 Pro generally offers more robust internal consistency. For enterprise architects, the decision involves balancing Gemini’s superior depth in reasoning and context handling against Grok’s agility in rapid, high-frequency documentation tasks.
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.