Gemini 3 Pro 1M input/output tokens price and performance

Complete Analysis: 2,000,000 tokens for gemini-3-1-pro

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

$22.000000 Total Cost
2,000,000 Total Tokens
1 hour, 26 minutes, 40.00 seconds Processing Time
385 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
▼
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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

$22.000000 Total Cost
$4.000000 Input Cost
$18.000000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
2,000,000Total Tokens
$0.011000Cost per 1K
90,909Tokens per $
🔄 Dynamic Tier Pricing Active: Using Premium pricing (tier2) based on token volume.
📊 Advanced Cost Breakdown

Processing Speed

86m 40s Processing Time
400 Tokens/Second
220ms Time to First Token
385 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
Apply 1.5x multiplier to output tokens (GPT-5.4, Claude 4.6)
Manual thinking tokens (billed at output rate)
🔧 Special Modes
Enable 4x Tunnel Multiplier (applied after markup)
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

$22.000000
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) $22.000000 Input: $4.000000
Output: $18.000000
Optimized Cost $22.000000 Input: $4.000000
Output: $18.000000
Unit: $0.000000
Fees: $0.000000

Detailed Cost Analysis (from Plugin)

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

  • Input Cost: $4.000000
  • Output Cost: $18.000000
  • Total Cost: $22.000000
  • Cost per 1K tokens: $0.011000
  • Tokens per dollar: 90,909 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, 26 minutes, 40.00 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 385 tokens/second (temperature-adjusted)

Best Use Cases

Big Data Text IngestionArchivesLong-form Retrieval

✨ Market Recommendations AI Model Registry

← Back to gemini-3-1-pro
📋 Active Input Parameters
Input Tokens: 1,000,000
Output Tokens: 1,000,000
Rank AI Model & Provider Total Cost vs gemini-3-1-pro
🏆 Llama 4 Scout
Meta AI
 $0.380000 Best Value ↓ 98.3% cheaper
🥈 Grok 4.1 Fast
xAI
 $1.220000 ↓ 94.5% cheaper
🥉 Grok 5
xAI
 $18.000000 ↓ 18.2% cheaper
#4 Grok 5
xAI
 $18.000000 ↓ 18.2% cheaper
🏆

Llama 4 Scout
Meta AI

$0.380000
vs gemini-3-1-pro: ↓ 98.3%
🥈

Grok 4.1 Fast
xAI

$1.220000
vs gemini-3-1-pro: ↓ 94.5%
🥉

Grok 5
xAI

$18.000000
vs gemini-3-1-pro: ↓ 18.2%
#4

Grok 5
xAI

$18.000000
vs gemini-3-1-pro: ↓ 18.2%
✨ 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.

The Massive Context Workhorse

At a cost of $14.00 for 1M/1M tokens, Gemini 3 Pro offers a 2-million token window. For pure text workloads, it provides exceptional ‘needle-in-a-haystack’ retrieval. It is the best value for processing massive textual datasets like entire libraries or extensive legal archives in a single pass.

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.