Sonar Pro vs Grok 4.1 Fast: Live Search Battle

Sonar Pro vs Grok 4.1 Fast
Complete Comparison: 100,000 input tokens × 50,000 output tokens
Comparison Mode

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

Comparison Criteria Sonar Pro
Perplexity
Grok 4.1 Fast
xAI
Calculation Results (Current Inputs)
Input Tokens 100,000 100,000
Output Tokens 50,000 50,000
Cost Breakdown
Input Cost $0.300000Worst $0.020000Best
Output Cost $0.750000Worst $0.025000 (rounded ~ 0.03)Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.010000 $0.000000
Total Cost $1.060000 Most Expensive $0.045000 (rounded ~ 0.05) Best Value
Processing Time 6 minutes, 30.00 seconds Slowest 3 minutes, 15.00 seconds Fastest
Tokens per Second 400Slowest 800Fastest
Time to First Token 200ms Worst 100ms Best
Cost per 1K tokens $0.007067 (rounded ~ 0.01)Worst $0.000300Best
Tokens per Dollar 141,509Worst Value 3,333,333Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $3.000000Worst $0.200000Best
Output Cost / 1M (Base) $15.000000Worst $0.500000Best
Input Cost / 1M (Optimized) $3.000000Worst
Optimizations: No optimizations applied
$0.200000Best
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $15.000000Worst
Optimizations: No optimizations applied
$0.500000Best
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 ✓ Supported ✓ Supported
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Select AI Model

Sonar Pro
PerplexityMax Context: 200,000 tokens
$3 / $15 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

$1.060000 Total Cost
$0.300000 Input Cost
$0.750000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
150,000Total Tokens
$0.007067Cost per 1K
141,509Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

6m 30s Processing Time
400 Tokens/Second
200ms 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
📊 Multiple Models Detected: This page contains data for 2 models. See the detailed comparison table above, and switch between models using tabs below.

Sonar Pro Perplexity

$1.060000
Total Cost
🔧 Tools
👁️
Vision/Images
✗ Not Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✓ Available
📄
OCR Support
✗ Not Available
📊
Batch API
✗ Not Available
⚡
Caching
✗ Not Available

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $1.060000 Input: $0.300000
Output: $0.750000
Optimized Cost $1.060000 Input: $0.300000
Output: $0.750000
Unit: $0.000000
Fees: $0.010000

Advanced Cost Breakdown (from Plugin)

Detailed Cost Analysis (from Plugin)

For 100,000 input tokens and 50,000 output tokens:

  • Input Cost: $0.300000
  • Output Cost: $0.750000
  • Service Fees: $0.010000
  • Total Cost: $1.060000
  • Cost per 1K tokens: $0.007067 (rounded ~ 0.01)
  • Tokens per dollar: 141,509 tokens
  • Context Window: 200000 tokens

Speed & Performance Analysis

With a processing speed of 400 tokens per second and 200ms time to first token:

  • Processing Time: 6 minutes, 30.00 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 385 tokens/second (temperature-adjusted)

Best Use Cases

Factual ResearchSocial Sentiment

Grok 4.1 Fast xAI 2000000

$0.045000 (rounded ~ 0.05)
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) $0.045000 (rounded ~ 0.05) Input: $0.020000
Output: $0.025000 (rounded ~ 0.03)
Optimized Cost $0.045000 (rounded ~ 0.05) Input: $0.020000
Output: $0.025000 (rounded ~ 0.03)
Unit: $0.000000
Fees: $0.000000

Detailed Cost Analysis (from Plugin)

For 100,000 input tokens and 50,000 output tokens:

  • Input Cost: $0.020000
  • Output Cost: $0.025000 (rounded ~ 0.03)
  • Total Cost: $0.045000 (rounded ~ 0.05)
  • Cost per 1K tokens: $0.000300
  • Tokens per dollar: 3,333,333 tokens
  • Context Window: 2000000 tokens

Speed & Performance Analysis

With a processing speed of 800 tokens per second and 100ms time to first token:

  • Processing Time: 3 minutes, 15.00 seconds
  • Latency: 100 milliseconds to first token
  • Base Throughput: 800 tokens/second
  • Effective Throughput: 769 tokens/second (temperature-adjusted)

Best Use Cases

Factual ResearchSocial Sentiment

✨ Market Recommendations AI Model Registry

← Back to Sonar Pro
📋 Active Input Parameters
Input Tokens: 100,000
Output Tokens: 50,000
Tools: Enabled
Rank AI Model & Provider Total Cost vs Sonar Pro vs Grok 4.1 Fast
🏆 Gemini 3.1 Flash Lite
Google
 $0.030000 Best Value ↓ 97.2% cheaper ↓ 33.3% cheaper
🥈 Llama 4 Maverick (400B)
Meta AI
 $0.069500 ↓ 93.4% cheaper ↑ 54.4% more
🥉 o4-mini
OpenAI
 $0.330000 ↓ 68.9% cheaper ↑ 633.3% more
#4 Mistral Large 3
Mistral AI
 $0.500000 ↓ 52.8% cheaper ↑ 1011.1% more
#5 Sonar Deep Research
Perplexity
 $0.600000 ↓ 43.4% cheaper ↑ 1233.3% more
#6 Gemini 3.1 Pro
Google
 $0.800000 ↓ 24.5% cheaper ↑ 1677.8% more
#7 GPT-5.3 Codex Spark
OpenAI
 $0.875000 (rounded ~ 0.88) ↓ 17.5% cheaper ↑ 1844.4% more
#8 GPT-5.4 Thinking
OpenAI
 $1.000000 ↓ 5.7% cheaper ↑ 2122.2% more
#9 Claude Sonnet 4.6
Anthropic
 $1.050000 ↓ 0.9% cheaper ↑ 2233.3% more
#10 Grok 5
xAI
 $1.050000 ↓ 0.9% cheaper ↑ 2233.3% more
#11 Claude Opus 4.6
Anthropic
 $1.750000 ↑ 65.1% more ↑ 3788.9% more
#12 o3 Deep Research
OpenAI
 $3.000000 ↑ 183% more ↑ 6566.7% more
#13 o3 Pro
OpenAI
 $6.000000 ↑ 466% more ↑ 13233.3% more
#14 o3 Pro
OpenAI
 $6.000000 ↑ 466% more ↑ 13233.3% more
🏆

Gemini 3.1 Flash Lite
Google

$0.030000
vs Sonar Pro: ↓ 97.2%
vs Grok 4.1 Fast: ↓ 33.3%
🥈

Llama 4 Maverick (400B)
Meta AI

$0.069500
vs Sonar Pro: ↓ 93.4%
vs Grok 4.1 Fast: ↑ 54.4%
🥉

o4-mini
OpenAI

$0.330000
vs Sonar Pro: ↓ 68.9%
vs Grok 4.1 Fast: ↑ 633.3%
#4

Mistral Large 3
Mistral AI

$0.500000
vs Sonar Pro: ↓ 52.8%
vs Grok 4.1 Fast: ↑ 1011.1%
#5

Sonar Deep Research
Perplexity

$0.600000
vs Sonar Pro: ↓ 43.4%
vs Grok 4.1 Fast: ↑ 1233.3%
#6

Gemini 3.1 Pro
Google

$0.800000
vs Sonar Pro: ↓ 24.5%
vs Grok 4.1 Fast: ↑ 1677.8%
#7

GPT-5.3 Codex Spark
OpenAI

$0.875000 (rounded ~ 0.88)
vs Sonar Pro: ↓ 17.5%
vs Grok 4.1 Fast: ↑ 1844.4%
#8

GPT-5.4 Thinking
OpenAI

$1.000000
vs Sonar Pro: ↓ 5.7%
vs Grok 4.1 Fast: ↑ 2122.2%
#9

Claude Sonnet 4.6
Anthropic

$1.050000
vs Sonar Pro: ↓ 0.9%
vs Grok 4.1 Fast: ↑ 2233.3%
#10

Grok 5
xAI

$1.050000
vs Sonar Pro: ↓ 0.9%
vs Grok 4.1 Fast: ↑ 2233.3%
#11

Claude Opus 4.6
Anthropic

$1.750000
vs Sonar Pro: ↑ 65.1%
vs Grok 4.1 Fast: ↑ 3788.9%
#12

o3 Deep Research
OpenAI

$3.000000
vs Sonar Pro: ↑ 183%
vs Grok 4.1 Fast: ↑ 6566.7%
#13

o3 Pro
OpenAI

$6.000000
vs Sonar Pro: ↑ 466%
vs Grok 4.1 Fast: ↑ 13233.3%
#14

o3 Pro
OpenAI

$6.000000
vs Sonar Pro: ↑ 466%
vs Grok 4.1 Fast: ↑ 13233.3%
✨ 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 Search Engine War

Perplexity’s Sonar Pro is the gold standard for ‘Pro Search’ with filtered, high-accuracy web results. xAI’s Grok 4.1 Fast leverages a 2M context window and live X-data for trending news and social sentiment. Choose Sonar Pro for factual research; choose Grok 4.1 Fast for tracking breaking news and viral trends.

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.