⚠️ Bulk Calculation: Total volume exceeds single-request limit of 128,000 tokens. Budgeting mode active.
🎧 3000000min Audio
⚡ 25% Cached
🔧 Tools
👁️
Vision/Images
✗ Not Available
🎧
Audio Processing
✓ Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✗ Not Available
requested
📄
OCR Support
✗ Not Available
📊
Batch API
✗ Not Available
⚡
Caching
✓ Available
90% savings
💰
Total Cost Calculation (from Plugin)
Base Cost (No Optimizations)
$600.014800 (rounded ~ $600.01)
Input: $600.000000
Output: $0.004800
Optimized Cost
$465.014800 (rounded ~ $465.01)
Input: $600.000000
Output: $0.004800
Unit: $0.000000
Fees: $0.010000
Total Savings
$135.000000
22.5% discount
Advanced Cost Breakdown (from Plugin)
Multimodal Input Details
🎧 Audio
Duration: 3000000 minutes
Cost: $90000.000000
Detailed Cost Analysis (from Plugin)
For 1,000,000,000 input tokens and 2,000 output tokens:
- Input Cost: $600.000000
- Output Cost: $0.004800
- Service Fees: $0.010000
- Total Cost: $465.014800 (rounded ~ $465.01)
- Cost per 1K tokens: $0.000465
- Tokens per dollar: 2,150,473 tokens
- Context Window: 128000 tokens
Speed & Performance Analysis
With a processing speed of 250 tokens per second and 50ms time to first token:
- Processing Time: 1200 hours, 8.82 seconds
- Latency: 50 milliseconds to first token
- Base Throughput: 250 tokens/second
- Effective Throughput: 231 tokens/second (temperature-adjusted)
Best Use Cases
Sub-second latency voice agents and customer support bots requiring natural turn-taking and high-volume multimodal handling.
Want this applied to YOUR actual stack?
This calculator shows the math for GPT Realtime Mini. 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.
🎧 3000000min Audio
⚡ 25% Cached
🔧 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)
$6760.012000 (rounded ~ $6,760.01)
Input: $6760.000000
Output: $0.012000 (rounded ~ $0.01)
Optimized Cost
$5239.012000 (rounded ~ $5,239.01)
Input: $6760.000000
Output: $0.012000 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings
$1521.000000
22.5% discount
Advanced Cost Breakdown (from Plugin)
🖼️ Multimodal Input
$0.000000
5,760,000,000 tokens
📊 Dynamic Tier
Premium
tier2 pricing based on 0 tokens
Multimodal Input Details
🎧 Audio
Duration: 3000000 minutes
Cost: $0.000000
Detailed Cost Analysis (from Plugin)
For 1,000,000,000 input tokens and 2,000 output tokens:
- Input Cost: $6760.000000
- Output Cost: $0.012000 (rounded ~ $0.01)
- Total Cost: $5239.012000 (rounded ~ $5,239.01)
- Cost per 1K tokens: $0.000775
- Tokens per dollar: 1,290,320 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: 2535 hours, 2.88 seconds
- Latency: 100 milliseconds to first token
- Base Throughput: 800 tokens/second
- Effective Throughput: 741 tokens/second (temperature-adjusted)
Best Use Cases
Sub-second latency voice agents and customer support bots requiring natural turn-taking and high-volume multimodal handling.
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 →
🔍
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.
Low-Latency Voice UX: Comparing Real-Time Leaders
Designing a real-time voice agent with sub-second latency requires a sophisticated approach to model selection. For an enterprise platform scaling to 50,000 hours of voice calls, the comparison between GPT Realtime Mini and Gemini 3.1 Flash is central to the product’s success. From a UX perspective, the latency of audio determines whether an assistant feels like a natural companion or a frustrating, lagging interface. A delay of even a few hundred milliseconds can disrupt the natural flow of human speech, leading to overlapping talk and user confusion.
- Seamless Interaction: GPT Realtime Mini’s native audio-to-audio capabilities are designed to handle the complexities of human conversation, such as interruptions and emotional prosody, which are vital for maintaining a high-quality persona.
- Contextual Depth: Gemini 3.1 Flash provides a compelling alternative for agents that must ingest massive amounts of background information or visual context while maintaining a conversational interface.
Decision-makers must weigh the importance of conversational presence against the need for broad multimodal integration. While one model might offer a more refined verbal cadence that mimics human empathy, the other may provide the technical flexibility required for complex, data-heavy support environments. Enterprise architects should consider the long-term scalability of the API and how each provider’s infrastructure supports the specific latency requirements of a global user base.
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.
