gemini-3-1-pro Google 2000000
$0.909000 (rounded ~ 0.91)
Total Cost
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)
$3.825000 (rounded ~ 3.83)
Input: $3.600000
Output: $0.225000 (rounded ~ 0.23)
Output: $0.225000 (rounded ~ 0.23)
Optimized Cost
$0.909000 (rounded ~ 0.91)
Input: $3.600000
Output: $0.225000 (rounded ~ 0.23)
Unit: $0.000000
Fees: $0.000000
Output: $0.225000 (rounded ~ 0.23)
Unit: $0.000000
Fees: $0.000000
Total Savings
$2.916000 (rounded ~ 2.92)
76.2% discount
Advanced Cost Breakdown (from Plugin)
📊 Batch API
50.0% off
Asynchronous processing discount
📊 Dynamic Tier
Premium
tier2 pricing based on 0 tokens
Detailed Cost Analysis (from Plugin)
For 1,800,000 input tokens and 25,000 output tokens:
- Input Cost: $3.600000
- Output Cost: $0.225000 (rounded ~ 0.23)
- Total Cost: $0.909000 (rounded ~ 0.91)
- Cost per 1K tokens: $0.000498
- Tokens per dollar: 2,007,701 tokens
- Context Window: 2000000 tokens
Speed & Performance Analysis
With a processing speed of 400 tokens per second and 220ms time to first token:
- Processing Time: 1 hour, 16 minutes, 48.00 seconds
- Latency: 220 milliseconds to first token
- Base Throughput: 400 tokens/second
- Effective Throughput: 396 tokens/second (temperature-adjusted)
Best Use Cases
LegalComplianceDocument DiscoveryLitigation Preparation
✨ Market Recommendations AI Model Registry
← Back to gemini-3-1-pro
📋 Active Input Parameters
Input Tokens:
1,800,000
Output Tokens:
25,000
Batch API:
Enabled (50% discount)
Cached Tokens:
90%
Tools:
Enabled
| Rank | AI Model & Provider | Total Cost | vs gemini-3-1-pro |
|---|---|---|---|
| 🏆 |
Grok 5
xAI
|
$0.350250 Best Value | ↓ 61.5% cheaper |
🏆
Grok 5
Grok 5 xAI
$0.350250
vs gemini-3-1-pro:
↓ 61.5%
✨ 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.
Massive Document Context Pricing & Legal Discovery Economics
Utilizing Gemini 3 Pro’s expanded 2M token context window for comprehensive multi-document legal discovery, cross-reference analysis, and litigation preparation. This detailed cost analysis covers the premium pricing tiers for ultra-long contexts while highlighting the efficiency gains from processing entire case files in single prompts versus traditional chunking approaches.
Discovery Parameters & Pricing Tiers
- Document Volume: 1,500 PDFs (~1.8M tokens including exhibits and appendices)
- Context Window: Fully utilizing 2,000,000 token capacity for holistic analysis
- Pricing Tier: Long-context premium pricing triggered at 200K+ tokens
- Reasoning Effort: Deep analytical mode for complex legal reasoning
- Output Summary: 25,000 tokens comprehensive legal brief
- Tools: Retrieval-Augmented Generation (RAG) bypass enabled for direct analysis
- Cache Optimization: 90% for repeated legal boilerplate and standard clauses
Legal Tech Applications & Enterprise Value
Mergers and acquisitions due diligence, litigation discovery automation, contract cross-referencing at scale, compliance auditing across jurisdictions. This calculator demonstrates the significant cost savings compared to traditional legal research methods while maintaining the accuracy and comprehensiveness required for high-stakes legal work. Includes batch API optimization for processing document sets overnight.
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 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.