Comet Max vs Gemini 3.1 Pro: Research Context

Comet Max vs Gemini 3.1 Pro
Complete Comparison: 500,000 input tokens × 100,000 output tokens
Comparison Mode

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

Comparison Criteria Comet Max
Perplexity
Gemini 3.1 Pro
Google
Calculation Results (Current Inputs)
Input Tokens 500,000 500,000
Output Tokens 100,000 100,000
Cost Breakdown
Input Cost $2.500000Worst $2.000000Best
Output Cost $2.500000Worst $1.800000Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $5.000000 Most Expensive $3.800000 Best Value
Processing Time 29 minutes, 43.04 seconds Slowest 26 minutes, 0.18 seconds Fastest
Tokens per Second 350Slowest 400Fastest
Time to First Token 250ms Worst 220ms Best
Cost per 1K tokens $0.008333 (rounded ~ $0.01)Worst $0.006333 (rounded ~ $0.01)Best
Tokens per Dollar 120,000Worst Value 157,895Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $5.000000Worst $4.000000Best
Output Cost / 1M (Base) $25.000000Worst $18.000000Best
Input Cost / 1M (Optimized) $5.000000Worst
Optimizations: No optimizations applied
$4.000000Best
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $25.000000Worst
Optimizations: No optimizations applied
$18.000000Best
Optimizations: No optimizations applied
Capabilities & Advanced Features
Images Support ✗ Not Supported ✓ Supported
Video Support ✗ Not Supported ✓ Supported
Audio Support ✗ Not Supported ✓ Supported
Caching Support ✗ Not Supported ✓ Supported
Batch API Support ✗ Not Supported ✓ Supported
Tool Usage Support ✗ Not Supported ✓ Supported
Scroll horizontally to see all data

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All other parameters will be preserved from the current comparison.

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Select AI Model

Comet Max
PerplexityMax Context: 1,000,000 tokens
$5 / $25 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

$5.000000 Total Cost
$2.500000 Input Cost
$2.500000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
600,000Total Tokens
$0.008333Cost per 1K
120,000Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

29m 43s Processing Time
350 Tokens/Second
250ms Time to First Token
337 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
📊 Multiple Models Detected: This page contains data for 2 models. See the detailed comparison table above, and switch between models using tabs below.

Comet Max Perplexity 1000000

$5.000000
Total Cost
👁️
Vision/Images
✗ Not Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✗ Not Available
📄
OCR Support
✗ Not Available
📊
Batch API
✗ Not Available
⚡
Caching
✗ Not Available

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $5.000000 Input: $2.500000
Output: $2.500000
Optimized Cost $5.000000 Input: $2.500000
Output: $2.500000
Unit: $0.000000
Fees: $0.000000

Detailed Cost Analysis (from Plugin)

For 500,000 input tokens and 100,000 output tokens:

  • Input Cost: $2.500000
  • Output Cost: $2.500000
  • Total Cost: $5.000000
  • Cost per 1K tokens: $0.008333 (rounded ~ $0.01)
  • Tokens per dollar: 120,000 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 350 tokens per second and 250ms time to first token:

  • Processing Time: 29 minutes, 43.04 seconds
  • Latency: 250 milliseconds to first token
  • Base Throughput: 350 tokens/second
  • Effective Throughput: 337 tokens/second (temperature-adjusted)

Best Use Cases

Massive Fact-CheckingDataset Synthesis

Want this applied to YOUR actual stack?

This calculator shows the math for Comet Max. 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

$3.800000
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) $3.800000 Input: $2.000000
Output: $1.800000
Optimized Cost $3.800000 Input: $2.000000
Output: $1.800000
Unit: $0.000000
Fees: $0.000000

Detailed Cost Analysis (from Plugin)

For 500,000 input tokens and 100,000 output tokens:

  • Input Cost: $2.000000
  • Output Cost: $1.800000
  • Total Cost: $3.800000
  • Cost per 1K tokens: $0.006333 (rounded ~ $0.01)
  • Tokens per dollar: 157,895 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: 26 minutes, 0.18 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 385 tokens/second (temperature-adjusted)

Best Use Cases

Massive Fact-CheckingDataset Synthesis

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 Comet Max
📋 Active Input Parameters
Input Tokens: 500,000
Output Tokens: 100,000
Rank AI Model & Provider Total Cost vs Comet Max vs Gemini 3.1 Pro
🏆 DeepSeek V4 Flash
DeepSeek
 $0.063000 (rounded ~ $0.06) Best Value ↓ 98.7% cheaper ↓ 98.3% cheaper
🥈 Llama 4 Scout
Meta AI
 $0.070000 ↓ 98.6% cheaper ↓ 98.2% cheaper
🥉 Llama 4 Maverick (400B)
Meta AI
 $0.135000 (rounded ~ $0.14) ↓ 97.3% cheaper ↓ 96.4% cheaper
#4 Nemotron 3 Super
Mistral AI
 $0.232000 (rounded ~ $0.23) ↓ 95.4% cheaper ↓ 93.9% cheaper
#5 Gemini 3.1 Flash Lite
Google
 $0.275000 (rounded ~ $0.28) ↓ 94.5% cheaper ↓ 92.8% cheaper
#6 DeepSeek V4 Pro
DeepSeek
 $0.304500 (rounded ~ $0.30) ↓ 93.9% cheaper ↓ 92% cheaper
#7 Gemini 2.5 Flash
Google
 $0.400000 ↓ 92% cheaper ↓ 89.5% cheaper
#8 Grok 4.3
xAI
 $0.875000 (rounded ~ $0.88) ↓ 82.5% cheaper ↓ 77% cheaper
#9 Gemini 3.1 Flash
Google
 $1.100000 ↓ 78% cheaper ↓ 71.1% cheaper
#10 Grok 4.20 Beta
xAI
 $1.600000 ↓ 68% cheaper ↓ 57.9% cheaper
#11 Gemini 3.5 Flash
Google
 $1.650000 ↓ 67% cheaper ↓ 56.6% cheaper
#12 Sonar Deep Research
Perplexity
 $1.800000 ↓ 64% cheaper ↓ 52.6% cheaper
#13 Gemini 2.5 Pro
Google
 $2.750000 ↓ 45% cheaper ↓ 27.6% cheaper
#14 Claude Sonnet 4.6
Anthropic
 $3.000000 ↓ 40% cheaper ↓ 21.1% cheaper
#15 Gemini 3.1 Pro
Google
 $3.800000 ↓ 24% cheaper Same price
#16 GPT-5.4
OpenAI
 $4.750000 ↓ 5% cheaper ↑ 25% more
#17 GPT-5.4 Thinking
OpenAI
 $4.750000 ↓ 5% cheaper ↑ 25% more
#18 Claude Opus 4.7
Anthropic
 $5.000000 Same price ↑ 31.6% more
#19 Claude Opus 4.8
Anthropic
 $5.000000 Same price ↑ 31.6% more
#20 Claude Opus 4.6
Anthropic
 $5.000000 Same price ↑ 31.6% more
#21 GPT-5.5
OpenAI
 $9.500000 ↑ 90% more ↑ 150% more
#22 GPT-5.5 Pro
OpenAI
 $33.000000 ↑ 560% more ↑ 768.4% more
#23 GPT-5.5 Pro
OpenAI
 $33.000000 ↑ 560% more ↑ 768.4% more
🏆

DeepSeek V4 Flash
DeepSeek

$0.063000 (rounded ~ $0.06)
vs Comet Max: ↓ 98.7%
vs Gemini 3.1 Pro: ↓ 98.3%
🥈

Llama 4 Scout
Meta AI

$0.070000
vs Comet Max: ↓ 98.6%
vs Gemini 3.1 Pro: ↓ 98.2%
🥉

Llama 4 Maverick (400B)
Meta AI

$0.135000 (rounded ~ $0.14)
vs Comet Max: ↓ 97.3%
vs Gemini 3.1 Pro: ↓ 96.4%
#4

Nemotron 3 Super
Mistral AI

$0.232000 (rounded ~ $0.23)
vs Comet Max: ↓ 95.4%
vs Gemini 3.1 Pro: ↓ 93.9%
#5

Gemini 3.1 Flash Lite
Google

$0.275000 (rounded ~ $0.28)
vs Comet Max: ↓ 94.5%
vs Gemini 3.1 Pro: ↓ 92.8%
#6

DeepSeek V4 Pro
DeepSeek

$0.304500 (rounded ~ $0.30)
vs Comet Max: ↓ 93.9%
vs Gemini 3.1 Pro: ↓ 92%
#7

Gemini 2.5 Flash
Google

$0.400000
vs Comet Max: ↓ 92%
vs Gemini 3.1 Pro: ↓ 89.5%
#8

Grok 4.3
xAI

$0.875000 (rounded ~ $0.88)
vs Comet Max: ↓ 82.5%
vs Gemini 3.1 Pro: ↓ 77%
#9

Gemini 3.1 Flash
Google

$1.100000
vs Comet Max: ↓ 78%
vs Gemini 3.1 Pro: ↓ 71.1%
#10

Grok 4.20 Beta
xAI

$1.600000
vs Comet Max: ↓ 68%
vs Gemini 3.1 Pro: ↓ 57.9%
#11

Gemini 3.5 Flash
Google

$1.650000
vs Comet Max: ↓ 67%
vs Gemini 3.1 Pro: ↓ 56.6%
#12

Sonar Deep Research
Perplexity

$1.800000
vs Comet Max: ↓ 64%
vs Gemini 3.1 Pro: ↓ 52.6%
#13

Gemini 2.5 Pro
Google

$2.750000
vs Comet Max: ↓ 45%
vs Gemini 3.1 Pro: ↓ 27.6%
#14

Claude Sonnet 4.6
Anthropic

$3.000000
vs Comet Max: ↓ 40%
vs Gemini 3.1 Pro: ↓ 21.1%
#15

Gemini 3.1 Pro
Google

$3.800000
vs Comet Max: ↓ 24%
vs Gemini 3.1 Pro: Same
#16

GPT-5.4
OpenAI

$4.750000
vs Comet Max: ↓ 5%
vs Gemini 3.1 Pro: ↑ 25%
#17

GPT-5.4 Thinking
OpenAI

$4.750000
vs Comet Max: ↓ 5%
vs Gemini 3.1 Pro: ↑ 25%
#18

Claude Opus 4.7
Anthropic

$5.000000
vs Comet Max: Same
vs Gemini 3.1 Pro: ↑ 31.6%
#19

Claude Opus 4.8
Anthropic

$5.000000
vs Comet Max: Same
vs Gemini 3.1 Pro: ↑ 31.6%
#20

Claude Opus 4.6
Anthropic

$5.000000
vs Comet Max: Same
vs Gemini 3.1 Pro: ↑ 31.6%
#21

GPT-5.5
OpenAI

$9.500000
vs Comet Max: ↑ 90%
vs Gemini 3.1 Pro: ↑ 150%
#22

GPT-5.5 Pro
OpenAI

$33.000000
vs Comet Max: ↑ 560%
vs Gemini 3.1 Pro: ↑ 768.4%
#23

GPT-5.5 Pro
OpenAI

$33.000000
vs Comet Max: ↑ 560%
vs Gemini 3.1 Pro: ↑ 768.4%
✨ 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 Research Giants

Perplexity’s Comet Max offers 1M context with integrated web-search for massive research projects. Gemini 3.1 Pro offers a 2M window with superior multimodal grounding. Comet Max is built for the ‘Search-First’ researcher; Gemini 3.1 Pro is built for the ‘Data-First’ researcher who needs to analyze massive document sets and videos.

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.