Gemini 3.1 Pro for Satellite Imagery & GIS Analysis

Complete Analysis: 530,800 tokens for Gemini 3.1 Pro
🖼️ 50 Images

Complete analysis of pricing, performance, and use cases for Google's Gemini 3.1 Pro model with 50 Images.

🖼️ Multimodal Input 📊 Batch API
$1.096600 (rounded ~ $1.10) Total Cost
530,800 Total Tokens
22 minutes, 33.72 seconds Processing Time
392 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.
Will auto-convert to minutes for Voxtral models (9000 tokens = 1 min)
$0.067 per 1,000 pixels

Calculate Token Costs

$1.096600 Total Cost
$1.051600 Input Cost
$0.045000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
530,800Total Tokens
$0.002066Cost per 1K
484,042Tokens per $
🔄 Dynamic Tier Pricing Active: Using Premium pricing (tier2) based on token volume.
📊 Advanced Cost Breakdown

Processing Speed

22m 33s Processing Time
400 Tokens/Second
220ms Time to First Token
392 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

$1.096600 (rounded ~ $1.10)
Total Cost
🖼️ 50 Image (Medium) 📊 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) $1.096600 (rounded ~ $1.10) Input: $1.051600 (rounded ~ $1.05)
Output: $0.045000 (rounded ~ $0.05)
Optimized Cost $1.096600 (rounded ~ $1.10) Input: $1.051600 (rounded ~ $1.05)
Output: $0.045000 (rounded ~ $0.05)
Unit: $0.000000
Fees: $0.000000

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
25,800 tokens
📊 Batch API
50.0% off
Asynchronous processing discount
📊 Dynamic Tier
Premium
tier2 pricing based on 0 tokens

Multimodal Input Details

🖼️ Images
Count: 50
Resolution: Medium
Tokens: 25,800
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 500,000 input tokens and 5,000 output tokens:

  • Input Cost: $1.051600 (rounded ~ $1.05)
  • Output Cost: $0.045000 (rounded ~ $0.05)
  • Total Cost: $1.096600 (rounded ~ $1.10)
  • Cost per 1K tokens: $0.002066
  • Tokens per dollar: 484,042 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: 22 minutes, 33.72 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 392 tokens/second (temperature-adjusted)

Best Use Cases

GISEnvironmental MonitoringUrban Planning

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 →

✨ Market Recommendations AI Model Registry

← Back to Gemini 3.1 Pro
📋 Active Input Parameters
Input Tokens: 500,000
Output Tokens: 5,000
Batch API: Enabled (50% discount)
Images: 50 (Medium Resolution)
Tools: Enabled
Rank AI Model & Provider Total Cost vs Gemini 3.1 Pro
🏆 Gemini 3.1 Flash Lite
Google
 $0.034738 (rounded ~ $0.03) Best Value ↓ 96.8% cheaper
🥈 Gemini 2.5 Flash
Google
 $0.042560 (rounded ~ $0.04) ↓ 96.1% cheaper
🥉 Llama 4 Maverick (400B)
Meta AI
 $0.090075 ↓ 91.8% cheaper
#4 Grok 4.3
xAI
 $0.167438 (rounded ~ $0.17) ↓ 84.7% cheaper
#5 Gemini 3.5 Flash
Google
 $0.208425 (rounded ~ $0.21) ↓ 81% cheaper
#6 Gemini 3.1 Flash
Google
 $0.277900 (rounded ~ $0.28) ↓ 74.7% cheaper
#7 Claude Sonnet 4.6
Anthropic
 $0.413100 (rounded ~ $0.41) ↓ 62.3% cheaper
#8 Claude Opus 4.7
Anthropic
 $0.688500 (rounded ~ $0.69) ↓ 37.2% cheaper
#9 Claude Opus 4.8
Anthropic
 $0.688500 (rounded ~ $0.69) ↓ 37.2% cheaper
#10 Claude Opus 4.6
Anthropic
 $0.688500 (rounded ~ $0.69) ↓ 37.2% cheaper
#11 Gemini 2.5 Pro
Google
 $0.694750 (rounded ~ $0.69) ↓ 36.6% cheaper
#12 GPT-5.4
OpenAI
 $1.370750 ↑ 25% more
#13 GPT-5.4 Thinking
OpenAI
 $1.370750 ↑ 25% more
#14 GPT-5.5
OpenAI
 $2.741500 (rounded ~ $2.74) ↑ 150% more
#15 GPT-5.5 Pro
OpenAI
 $4.168500 (rounded ~ $4.17) ↑ 280.1% more
#16 GPT-5.5 Pro
OpenAI
 $4.168500 (rounded ~ $4.17) ↑ 280.1% more
🏆

Gemini 3.1 Flash Lite
Google

$0.034738 (rounded ~ $0.03)
vs Gemini 3.1 Pro: ↓ 96.8%
🥈

Gemini 2.5 Flash
Google

$0.042560 (rounded ~ $0.04)
vs Gemini 3.1 Pro: ↓ 96.1%
🥉

Llama 4 Maverick (400B)
Meta AI

$0.090075
vs Gemini 3.1 Pro: ↓ 91.8%
#4

Grok 4.3
xAI

$0.167438 (rounded ~ $0.17)
vs Gemini 3.1 Pro: ↓ 84.7%
#5

Gemini 3.5 Flash
Google

$0.208425 (rounded ~ $0.21)
vs Gemini 3.1 Pro: ↓ 81%
#6

Gemini 3.1 Flash
Google

$0.277900 (rounded ~ $0.28)
vs Gemini 3.1 Pro: ↓ 74.7%
#7

Claude Sonnet 4.6
Anthropic

$0.413100 (rounded ~ $0.41)
vs Gemini 3.1 Pro: ↓ 62.3%
#8

Claude Opus 4.7
Anthropic

$0.688500 (rounded ~ $0.69)
vs Gemini 3.1 Pro: ↓ 37.2%
#9

Claude Opus 4.8
Anthropic

$0.688500 (rounded ~ $0.69)
vs Gemini 3.1 Pro: ↓ 37.2%
#10

Claude Opus 4.6
Anthropic

$0.688500 (rounded ~ $0.69)
vs Gemini 3.1 Pro: ↓ 37.2%
#11

Gemini 2.5 Pro
Google

$0.694750 (rounded ~ $0.69)
vs Gemini 3.1 Pro: ↓ 36.6%
#12

GPT-5.4
OpenAI

$1.370750
vs Gemini 3.1 Pro: ↑ 25%
#13

GPT-5.4 Thinking
OpenAI

$1.370750
vs Gemini 3.1 Pro: ↑ 25%
#14

GPT-5.5
OpenAI

$2.741500 (rounded ~ $2.74)
vs Gemini 3.1 Pro: ↑ 150%
#15

GPT-5.5 Pro
OpenAI

$4.168500 (rounded ~ $4.17)
vs Gemini 3.1 Pro: ↑ 280.1%
#16

GPT-5.5 Pro
OpenAI

$4.168500 (rounded ~ $4.17)
vs Gemini 3.1 Pro: ↑ 280.1%
✨ 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 Visual Data Intelligence

Leverage the 2M context window to process high-resolution satellite imagery. Calculate the cost of geospatial feature extraction and environmental change detection.

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 are image tokens calculated?
Images are tokenized based on resolution: Low: 85 tokens, Medium: 170 tokens, High: 255 tokens, Full: 765 tokens per image. Some models (like Llama 4 Maverick) use tile-based encoding with 1,610 tokens/image (standard) or 8,050 tokens/image (high-res).
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.