Grok 4 Deep Reason vs Gemini 3.1 Pro: Pulse vs Archive

Grok 4 Deep Reason vs Gemini 3.1 Pro
Complete Comparison: 1,000,000 input tokens × 1,000,000 output tokens
Comparison Mode

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

Comparison Criteria Grok 4 Deep Reason
xAI
Gemini 3.1 Pro
Google
Calculation Results (Current Inputs)
Input Tokens N/A (Special Pricing) 1,000,000
Output Tokens N/A (Special Pricing) 1,000,000
Cost Breakdown
Input Cost N/A (Special Pricing) $4.000000
Output Cost N/A (Special Pricing) $18.000000
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $8.000000 Best Value $22.000000 Most Expensive
Processing Time 58 minutes, 20.18 seconds Fastest 1 hour, 27 minutes, 30.18 seconds Slowest
Tokens per Second N/A (Special Pricing) 400
Time to First Token 150ms Best 220ms Worst
Cost per 1K tokens N/A (Special Pricing) $0.011000
Tokens per Dollar N/A (Special Pricing) 90,909
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) N/A (Special Pricing) $4.000000
Output Cost / 1M (Base) N/A (Special Pricing) $18.000000
Input Cost / 1M (Optimized) N/A (Special Pricing) $4.000000
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) N/A (Special Pricing) $18.000000
Optimizations: No optimizations applied
Capabilities & Advanced Features
Images Support ✗ Not Supported ✓ Supported
Video Support ✗ Not Supported ✓ Supported
Audio Support ✗ Not Supported ✓ Supported
Caching Support ✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
Scroll horizontally to see all data

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Select AI Model

Grok 4 Deep Reason
xAIMax Context: 2,000,000 tokens
$2 / $6 per 1M tokens
▼
▼
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

$8.000000 Total Cost
$2.000000 Input Cost
$6.000000 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
$0.004000Cost per 1K
250,000Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

58m 20s Processing Time
600 Tokens/Second
150ms Time to First Token
571 Effective Speed

Model Comparison

Select a model to see comparisons with competitors.

Model Information

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🔄 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
📊 Multiple Models Detected: This page contains data for 2 models. See the detailed comparison table above, and switch between models using tabs below.

Grok 4 Deep Reason xAI 2000000

$8.000000
Total Cost
🔧 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) $8.000000 Input: $2.000000
Output: $6.000000
Optimized Cost $8.000000 Input: $2.000000
Output: $6.000000
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: $2.000000
  • Output Cost: $6.000000
  • Total Cost: $8.000000
  • Cost per 1K tokens: $0.004000
  • Tokens per dollar: 250,000 tokens
  • Context Window: 2000000 tokens

Speed & Performance Analysis

With a processing speed of 600 tokens per second and 150ms time to first token:

  • Processing Time: 58 minutes, 20.18 seconds
  • Latency: 150 milliseconds to first token
  • Base Throughput: 600 tokens/second
  • Effective Throughput: 571 tokens/second (temperature-adjusted)

Best Use Cases

Day Trading IntelReal-Time News Monitoring

Want this applied to YOUR actual stack?

This calculator shows the math for Grok 4 Deep Reason. 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 →

Gemini 3.1 Pro Google 2000000

$22.000000
Total Cost
🔧 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) $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, 27 minutes, 30.18 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 381 tokens/second (temperature-adjusted)

Best Use Cases

Day Trading IntelReal-Time News Monitoring

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 Grok 4 Deep Reason
📋 Active Input Parameters
Input Tokens: 1,000,000
Output Tokens: 1,000,000
Tools: Enabled
Rank AI Model & Provider Total Cost vs Grok 4 Deep Reason vs Gemini 3.1 Pro
🏆 Grok 4.20 Beta
xAI
 $8.000000 Best Value Same price ↓ 63.6% cheaper
🥈 Gemini 2.5 Pro
Google
 $17.500000 ↑ 118.8% more ↓ 20.5% cheaper
🥉 Gemini 2.5 Pro
Google
 $17.500000 ↑ 118.8% more ↓ 20.5% cheaper
🏆

Grok 4.20 Beta
xAI

$8.000000
vs Grok 4 Deep Reason: Same
vs Gemini 3.1 Pro: ↓ 63.6%
🥈

Gemini 2.5 Pro
Google

$17.500000
vs Grok 4 Deep Reason: ↑ 118.8%
vs Gemini 3.1 Pro: ↓ 20.5%
🥉

Gemini 2.5 Pro
Google

$17.500000
vs Grok 4 Deep Reason: ↑ 118.8%
vs Gemini 3.1 Pro: ↓ 20.5%
✨ 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.

Real-Time Awareness vs Contextual Memory

Grok 4 Deep Reason is the king of real-time situational awareness, utilizing X’s firehose to understand breaking news faster than any other model. Gemini 3.1 Pro focuses on deep contextual memory, with a 2M window that allows it to ‘remember’ long-term project histories better than Grok. For day trading and rapid news synthesis, Grok is the top tool; for researchers managing years of documentation and multimodal archives, Gemini 3.1 Pro is the superior architectural choice.

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.