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
Output: $18.000000
Optimized Cost
$22.000000
Input: $4.000000
Output: $18.000000
Unit: $0.000000
Fees: $0.000000
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, 40.18 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
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.
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← 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 4.20 Beta
xAI
|
$8.000000 | ↓ 63.6% cheaper |
| 🥉 |
Grok 4.20 Beta
xAI
|
$8.000000 | ↓ 63.6% cheaper |
🏆
Llama 4 Scout
Llama 4 Scout Meta AI
$0.380000
vs gemini-3-1-pro:
↓ 98.3%
🥈
Grok 4.20 Beta
Grok 4.20 Beta xAI
$8.000000
vs gemini-3-1-pro:
↓ 63.6%
🥉
Grok 4.20 Beta
Grok 4.20 Beta xAI
$8.000000
vs gemini-3-1-pro:
↓ 63.6%
✨ 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.