Gemini 3.1 Pro vs DeepSeek V4: Massive Context RAG Cost

Gemini 3.1 Pro vs DeepSeek V4
Complete Comparison: 1,000,000 input tokens × 2,000 output tokens
Comparison Mode

Complete comparison of pricing, performance, and capabilities for 2 leading AI models .

📊 Batch API
Comparison Criteria Gemini 3.1 Pro
Google
DeepSeek V4
DeepSeek
Calculation Results (Current Inputs)
Input Tokens 1,000,000 1,000,000
Output Tokens 2,000 2,000
Cost Breakdown
Input Cost $2.000000Worst $0.132300 (rounded ~ 0.13)Best
Output Cost $0.018000 (rounded ~ 0.02)Worst $0.001078 (rounded ~ 0.00)Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $2.018000 (rounded ~ 2.02) Most Expensive $0.133378 (rounded ~ 0.13) Best Value
Processing Time 43 minutes, 50.00 seconds Slowest 29 minutes, 13.00 seconds Fastest
Tokens per Second 400Slowest 600Fastest
Time to First Token 220ms Worst 95ms Best
Cost per 1K tokens $0.002014 (rounded ~ 0.00)Worst $0.000133Best
Tokens per Dollar 496,531Worst Value 7,512,483Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $2.000000Worst $0.132300 (rounded ~ 0.13)Best
Output Cost / 1M (Base) $9.000000Worst $0.539000 (rounded ~ 0.54)Best
Input Cost / 1M (Optimized) $1.000000Worst
Optimizations: 50.0% batch
$0.092610 (rounded ~ 0.09)Best
Optimizations: 30.0% batch
Output Cost / 1M (Optimized) $4.500000Worst
Optimizations: 50.0% batch
$0.377300 (rounded ~ 0.38)Best
Optimizations: 30.0% batch
Capabilities & Advanced Features
Images Support ✓ Supported ✗ Not Supported
Video Support ✓ Supported ✗ Not Supported
Audio Support ✓ Supported ✗ Not Supported
Caching Support ✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
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Second Model

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All other parameters will be preserved from the current comparison.

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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

$2.018000 Total Cost
$2.000000 Input Cost
$0.018000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
1,002,000Total Tokens
$0.002014Cost per 1K
496,531Tokens per $
🔄 Dynamic Tier Pricing Active: Using Premium pricing (tier2) based on token volume.
📊 Advanced Cost Breakdown

Processing Speed

43m 50s Processing Time
400 Tokens/Second
220ms Time to First Token
381 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
📊 Multiple Models Detected: This page contains data for 2 models. See the detailed comparison table above, and switch between models using tabs below.

Gemini 3.1 Pro Google 2000000

$2.018000 (rounded ~ 2.02)
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) $2.018000 (rounded ~ 2.02) Input: $2.000000
Output: $0.018000 (rounded ~ 0.02)
Optimized Cost $2.018000 (rounded ~ 2.02) Input: $2.000000
Output: $0.018000 (rounded ~ 0.02)
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 1,000,000 input tokens and 2,000 output tokens:

  • Input Cost: $2.000000
  • Output Cost: $0.018000 (rounded ~ 0.02)
  • Total Cost: $2.018000 (rounded ~ 2.02)
  • Cost per 1K tokens: $0.002014 (rounded ~ 0.00)
  • Tokens per dollar: 496,531 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: 43 minutes, 50.00 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 381 tokens/second (temperature-adjusted)

Best Use Cases

RAGKnowledge GraphsMassive Documentation

DeepSeek V4 DeepSeek 1000000

$0.133378 (rounded ~ 0.13)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
📊 Batch API 🔧 Tools
👁️
Vision/Images
✗ Not Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✓ Available
📄
OCR Support
✗ Not Available
📊
Batch API
✓ Available
⚡
Caching
✓ Available
90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.133378 (rounded ~ 0.13) Input: $0.132300 (rounded ~ 0.13)
Output: $0.001078 (rounded ~ 0.00)
Optimized Cost $0.133378 (rounded ~ 0.13) Input: $0.132300 (rounded ~ 0.13)
Output: $0.001078 (rounded ~ 0.00)
Unit: $0.000000
Fees: $0.000000

Advanced Cost Breakdown (from Plugin)

📊 Batch API
30.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 1,000,000 input tokens and 2,000 output tokens:

  • Input Cost: $0.132300 (rounded ~ 0.13)
  • Output Cost: $0.001078 (rounded ~ 0.00)
  • Total Cost: $0.133378 (rounded ~ 0.13)
  • Cost per 1K tokens: $0.000133
  • Tokens per dollar: 7,512,483 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 600 tokens per second and 95ms time to first token:

  • Processing Time: 29 minutes, 13.00 seconds
  • Latency: 95 milliseconds to first token
  • Base Throughput: 600 tokens/second
  • Effective Throughput: 571 tokens/second (temperature-adjusted)

Best Use Cases

RAGKnowledge GraphsMassive Documentation

✨ Market Recommendations AI Model Registry

← Back to Gemini 3.1 Pro
📋 Active Input Parameters
Input Tokens: 1,000,000
Output Tokens: 2,000
Batch API: Enabled (50% discount)
Tools: Enabled
Rank AI Model & Provider Total Cost vs Gemini 3.1 Pro vs DeepSeek V4
🏆 Grok 5
xAI
 $0.757500 (rounded ~ 0.76) Best Value ↓ 62.5% cheaper ↑ 467.9% more
🥈 GPT-5.4 Thinking
OpenAI
 $2.530000 ↑ 25.4% more ↑ 1796.9% more
🥉 GPT-5.4 Thinking
OpenAI
 $2.530000 ↑ 25.4% more ↑ 1796.9% more
🏆

Grok 5
xAI

$0.757500 (rounded ~ 0.76)
vs Gemini 3.1 Pro: ↓ 62.5%
vs DeepSeek V4: ↑ 467.9%
🥈

GPT-5.4 Thinking
OpenAI

$2.530000
vs Gemini 3.1 Pro: ↑ 25.4%
vs DeepSeek V4: ↑ 1796.9%
🥉

GPT-5.4 Thinking
OpenAI

$2.530000
vs Gemini 3.1 Pro: ↑ 25.4%
vs DeepSeek V4: ↑ 1796.9%
✨ 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.

Big Data Retrieval Efficiency

A head-to-head pricing comparison for RAG (Retrieval-Augmented Generation) systems. Gemini 3.1 Pro offers 2M context window, while DeepSeek V4 offers unrivaled pricing for million-token queries.

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.