2M Token Legal Discovery: Deep Context Cost Analysis

Complete Analysis: 1,825,000 tokens for gemini-3-1-pro
⚡ 90% Cached

Complete analysis of pricing, performance, and use cases for Google's gemini-3-1-pro model with 90% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
$1.975000 (rounded ~ 1.98) Total Cost
1,825,000 Total Tokens
1 hour, 16 minutes, 48.00 seconds Processing Time
396 Effective Tokens/Sec

Select AI Model

Gemini 3.1 Pro
GoogleMax Context: 2,000,000 tokens
Input: $1.000000 / 1M
Output: $5.000000 / 1M

Calculate Token Costs

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Provider-specific multipliers applied after all calculations
Enable for Haiku 4.5 hard cap bypass
Select platform to enforce context limits
Number of requests (max 1M). Summary view auto-enabled >10k.
Multiply total cost by quantity for project budgeting
$0.283500Total Cost
$1.800000Input Cost
$0.125000Output Cost
$0.000000Unit Cost
$0.000000Search Cost
$0.000000Request Fee
$0.000000Tool Fee
$0.000000Code Execution
1,825,000Total Tokens
$0.000155Cost per 1K
6,437,390Tokens per $

Click Recalculate to update after making changes

Calculate Processing Speed

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76m 48sProcessing Time
400Tokens/Second
220msTime to First Token
396Effective Speed

Model Comparison

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Model Information

Select a model to see detailed information.

🔄 Advanced Options

⚡ Optimization
90%
Flat fee per session (e.g., $0.03 for Code Interpreter)
Hourly storage fee for cached data (Pro: $4.50/1M/hr, Flash: $1.00/1M/hr)
First 50 hours free, $0.05/hour after (reset at 00:00 UTC)
🧠 Specialized Modes
Enable Thinking Mode (Google models)
Manual thinking tokens (billed at output rate, disabled by default)
Adaptive thinking token estimation for DeepSeek models
30% output surcharge (Vertex AI priority)
Billed at output rate × reasoning multiplier
Global 2x multiplier for priority processing
Enable Reasoning/Thinking Mode (DeepSeek R1, Grok Deep Reason)
Enable Agentic Swarm
🔧 Automated Service Fees
Enable for DeepSeek V4 ($0.01 per 1M tokens)
Enable code execution (adds $0.05 flat fee)
$0.01 per query (auto-applied based on Search Queries input)
🤖 xAI Agent Tools (Unified $5.00/1k)
Real-time X data access calls
Standard internet search calls
Python sandbox execution calls (overrides flat fee if set)
📚 xAI RAG Tools (Unified $2.50/1k)
File search tool access
Collections/RAG knowledge base access - aggregated with File Search at $2.50/1k
ℹ️ Updated xAI Tool Pricing: Agent tools (web, X, code) at $5.00/1k calls. RAG tools (collections, file) at $2.50/1k calls. Integer code_execution_calls overrides boolean.
🎤 Realtime Audio & Deep Research
Enable Deep Research ($2.00/$8.00 rates)
Session length for billing ($0.01 per minute, rounded up)
Active speech time within session
📄 Mistral AI - Unit-Based Options
Number of pages to process with OCR (tiered pricing auto-applied)
Enable HTML table reconstruction surcharge
Duration-based audio processing (not token-based)
Enable speaker diarization (Voxtral models only)
Enable context biasing (Voxtral models only)
🔬 Research & Citation
Enable research tier pricing ($2.00/$8.00 + $0.005/query)
Enable reasoning with 1,000 token floor ($0.015 min)
Fee per source cited when research mode is enabled
⚙️ Performance Tuning
Low = Fast
High = Creative
📊 Advanced Cost Breakdown

gemini-3-1-pro Google 2000000

$1.975000 (rounded ~ 1.98)
Total Cost
⚡ 90% Cached 📊 Batch API 🔧 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

Base Cost (No Optimizations) $1.975000 (rounded ~ 1.98) Input: $1.800000
Output: $0.125000 (rounded ~ 0.13)
Optimized Cost $1.975000 (rounded ~ 1.98) Input: $1.800000
Output: $0.125000 (rounded ~ 0.13)
Unit: $0.000000
Fees: $0.050000
Total Savings $1.691500 (rounded ~ 1.69) 85.6% discount

Advanced Cost Breakdown

📊 Batch API
50.0% off
Asynchronous processing
💻 Code Execution
$0.050000
Flat fee per execution

Detailed Cost Analysis

For 1,800,000 input tokens and 25,000 output tokens:

  • Input Cost: $1.800000
  • Output Cost: $0.125000 (rounded ~ 0.13)
  • Service Fees: $0.050000
  • Total Cost: $1.975000 (rounded ~ 1.98)
  • Cost per 1K tokens: $0.000155
  • Tokens per dollar: 6,437,390 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

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.
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.
What is the YemHub AI Calculator Tool?
The YemHub AI Calculator is the most comprehensive tool for estimating costs and comparing performance metrics across 44+ AI models. It calculates token-based pricing, analyzes multimodal processing, accounts for state-dependent pricing (context cliffs, tiered tunnels), and provides optimization recommendations.