Gemini 3.1 Pro Legal Discovery: 2M Context Window Cost

Complete Analysis: 510,000 tokens for Gemini 3.1 Pro

Complete analysis of pricing, performance, and use cases for Google's Gemini 3.1 Pro model .

📊 Batch API
$1.090000 Total Cost
510,000 Total Tokens
21 minutes, 53.43 seconds Processing Time
388 Effective Tokens/Sec

Click Recalculate to update after making changes

Select AI Model

Gemini 3.1 Pro
GoogleMax Context: 2,000,000 tokens
$2 / $12 per 1M tokens (Tier 1)
State-dependent pricing active. Current tier: Standard
▼
▼
Use Batch API (50% discount)
0%
Provider-specific multipliers applied after all calculations
Enable for cache discounts
Select platform to enforce context limits
Number of requests (max 1M). Summary view auto-enabled >10k.

Calculate Token Costs

$1.090000 Total Cost
$1.000000 Input Cost
$0.090000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
510,000Total Tokens
$0.002137Cost per 1K
467,890Tokens per $
🔄 Dynamic Tier Pricing Active: Using Premium pricing (tier2) based on token volume.
📊 Advanced Cost Breakdown

Processing Speed

21m 53s Processing Time
400 Tokens/Second
220ms Time to First Token
388 Effective Speed

Model Comparison

Select a model to see comparisons with competitors.

Model Information

Select a model to see detailed information.

🔄 Advanced Options

⚡ Optimization
Flat fee per session (e.g., $0.03 for Code Interpreter)
Hourly storage fee for cached data
First 50 hours free, $0.05/hour after
🧠 Reasoning & Thinking
Manual thinking tokens (billed at output rate)
🔧 Special Modes
Enable 6.0x Fast Mode multiplier
📚 Research & Citations
Enable $1.00/$4.00 rates + $10.00/1k search
Enable research tier pricing
Fee per source cited
🎤 Realtime Audio & Video
Session length for billing

Gemini 3.1 Pro Google 2000000

$1.090000
Total Cost
📊 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 (from Plugin)

Base Cost (No Optimizations) $1.090000 Input: $1.000000
Output: $0.090000
Optimized Cost $1.090000 Input: $1.000000
Output: $0.090000
Unit: $0.000000
Fees: $0.000000

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 500,000 input tokens and 10,000 output tokens:

  • Input Cost: $1.000000
  • Output Cost: $0.090000
  • Total Cost: $1.090000
  • Cost per 1K tokens: $0.002137
  • Tokens per dollar: 467,890 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: 21 minutes, 53.43 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 388 tokens/second (temperature-adjusted)

Best Use Cases

Litigation SupportDocument ReviewMassive RAG

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✨ Market Recommendations AI Model Registry

← Back to Gemini 3.1 Pro
📋 Active Input Parameters
Input Tokens: 500,000
Output Tokens: 10,000
Batch API: Enabled (50% discount)
Tools: Enabled
Rank AI Model & Provider Total Cost vs Gemini 3.1 Pro
🏆 Gemini 3.1 Flash Lite
Google
 $0.035000 (rounded ~ $0.04) Best Value ↓ 96.8% cheaper
🥈 Gemini 2.5 Flash
Google
 $0.043750 (rounded ~ $0.04) ↓ 96% cheaper
🥉 Llama 4 Maverick (400B)
Meta AI
 $0.081000 (rounded ~ $0.08) ↓ 92.6% cheaper
#4 Grok 4.3
xAI
 $0.162500 (rounded ~ $0.16) ↓ 85.1% cheaper
#5 Gemini 3.5 Flash
Google
 $0.210000 ↓ 80.7% cheaper
#6 Grok 4.20 Beta
xAI
 $0.265000 (rounded ~ $0.27) ↓ 75.7% cheaper
#7 Gemini 3.1 Flash
Google
 $0.280000 ↓ 74.3% cheaper
#8 Claude Sonnet 4.6
Anthropic
 $0.412500 (rounded ~ $0.41) ↓ 62.2% cheaper
#9 Claude Opus 4.7
Anthropic
 $0.687500 (rounded ~ $0.69) ↓ 36.9% cheaper
#10 Claude Opus 4.8
Anthropic
 $0.687500 (rounded ~ $0.69) ↓ 36.9% cheaper
#11 Claude Opus 4.6
Anthropic
 $0.687500 (rounded ~ $0.69) ↓ 36.9% cheaper
#12 Gemini 2.5 Pro
Google
 $0.700000 ↓ 35.8% cheaper
#13 GPT-5.4
OpenAI
 $1.362500 (rounded ~ $1.36) ↑ 25% more
#14 GPT-5.4 Thinking
OpenAI
 $1.362500 (rounded ~ $1.36) ↑ 25% more
#15 GPT-5.5
OpenAI
 $2.725000 (rounded ~ $2.73) ↑ 150% more
#16 GPT-5.5 Pro
OpenAI
 $4.200000 ↑ 285.3% more
#17 GPT-5.5 Pro
OpenAI
 $4.200000 ↑ 285.3% more
🏆

Gemini 3.1 Flash Lite
Google

$0.035000 (rounded ~ $0.04)
vs Gemini 3.1 Pro: ↓ 96.8%
🥈

Gemini 2.5 Flash
Google

$0.043750 (rounded ~ $0.04)
vs Gemini 3.1 Pro: ↓ 96%
🥉

Llama 4 Maverick (400B)
Meta AI

$0.081000 (rounded ~ $0.08)
vs Gemini 3.1 Pro: ↓ 92.6%
#4

Grok 4.3
xAI

$0.162500 (rounded ~ $0.16)
vs Gemini 3.1 Pro: ↓ 85.1%
#5

Gemini 3.5 Flash
Google

$0.210000
vs Gemini 3.1 Pro: ↓ 80.7%
#6

Grok 4.20 Beta
xAI

$0.265000 (rounded ~ $0.27)
vs Gemini 3.1 Pro: ↓ 75.7%
#7

Gemini 3.1 Flash
Google

$0.280000
vs Gemini 3.1 Pro: ↓ 74.3%
#8

Claude Sonnet 4.6
Anthropic

$0.412500 (rounded ~ $0.41)
vs Gemini 3.1 Pro: ↓ 62.2%
#9

Claude Opus 4.7
Anthropic

$0.687500 (rounded ~ $0.69)
vs Gemini 3.1 Pro: ↓ 36.9%
#10

Claude Opus 4.8
Anthropic

$0.687500 (rounded ~ $0.69)
vs Gemini 3.1 Pro: ↓ 36.9%
#11

Claude Opus 4.6
Anthropic

$0.687500 (rounded ~ $0.69)
vs Gemini 3.1 Pro: ↓ 36.9%
#12

Gemini 2.5 Pro
Google

$0.700000
vs Gemini 3.1 Pro: ↓ 35.8%
#13

GPT-5.4
OpenAI

$1.362500 (rounded ~ $1.36)
vs Gemini 3.1 Pro: ↑ 25%
#14

GPT-5.4 Thinking
OpenAI

$1.362500 (rounded ~ $1.36)
vs Gemini 3.1 Pro: ↑ 25%
#15

GPT-5.5
OpenAI

$2.725000 (rounded ~ $2.73)
vs Gemini 3.1 Pro: ↑ 150%
#16

GPT-5.5 Pro
OpenAI

$4.200000
vs Gemini 3.1 Pro: ↑ 285.3%
#17

GPT-5.5 Pro
OpenAI

$4.200000
vs Gemini 3.1 Pro: ↑ 285.3%
✨ 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.

Infinite Context Litigation Support

Process entire case files in a single prompt. This calculator evaluates Gemini 3.1 Pro’s 2M context window efficiency for massive document review and cross-examination prep.

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 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.