Llama 4 Maverick vs Sonar Deep Research: Private vs Public

Llama 4 Maverick vs Sonar Deep Research
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 Llama 4 Maverick
Meta AI
Sonar Deep Research
Perplexity
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) $2.000000
Output Cost N/A (Special Pricing) $8.000000
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.750000 Best Value $10.000000 Most Expensive
Processing Time 1 hour, 27 minutes, 30.18 seconds Fastest 2 hours, 55 minutes, 0.18 seconds Slowest
Tokens per Second N/A (Special Pricing) 200
Time to First Token 150ms Best 300ms Worst
Cost per 1K tokens N/A (Special Pricing) $0.005000 (rounded ~ $0.01)
Tokens per Dollar N/A (Special Pricing) 200,000
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) N/A (Special Pricing) $2.000000
Output Cost / 1M (Base) N/A (Special Pricing) $8.000000
Input Cost / 1M (Optimized) N/A (Special Pricing) $2.000000
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) N/A (Special Pricing) $8.000000
Optimizations: No optimizations applied
Capabilities & Advanced Features
Images Support ✓ Supported ✗ Not Supported
Batch API Support ✓ Supported ✗ Not Supported
Tool Usage Support ✓ Supported ✓ Supported
Scroll horizontally to see all data

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1

First Model

2

Second Model

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All other parameters will be preserved from the current comparison.

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ℹ️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.

Select AI Model

Llama 4 Maverick
Meta AIMax Context: 1,000,000 tokens
$0.15 / $0.6 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

$0.750000 Total Cost
$0.150000 Input Cost
$0.600000 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
$0.000375Cost per 1K
2,666,667Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

87m 30s Processing Time
400 Tokens/Second
150ms 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
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.

Llama 4 Maverick Meta AI 1000000

$0.750000
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
🔧 Tools
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✓ Available
📄
OCR Support
✗ Not Available
📊
Batch API
✓ Available
⚡
Caching
✗ Not Available

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.750000 Input: $0.150000
Output: $0.600000
Optimized Cost $0.750000 Input: $0.150000
Output: $0.600000
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: $0.150000
  • Output Cost: $0.600000
  • Total Cost: $0.750000
  • Cost per 1K tokens: $0.000375
  • Tokens per dollar: 2,666,667 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 400 tokens per second and 150ms time to first token:

  • Processing Time: 1 hour, 27 minutes, 30.18 seconds
  • Latency: 150 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 381 tokens/second (temperature-adjusted)

Best Use Cases

Internal RAGExternal Research

Want this applied to YOUR actual stack?

This calculator shows the math for Llama 4 Maverick. 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 →

Sonar Deep Research Perplexity 1000000

$10.000000
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
🔧 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) $10.000000 Input: $2.000000
Output: $8.000000
Optimized Cost $10.000000 Input: $2.000000
Output: $8.000000
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: $8.000000
  • Total Cost: $10.000000
  • Cost per 1K tokens: $0.005000 (rounded ~ $0.01)
  • Tokens per dollar: 200,000 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 200 tokens per second and 300ms time to first token:

  • Processing Time: 2 hours, 55 minutes, 0.18 seconds
  • Latency: 300 milliseconds to first token
  • Base Throughput: 200 tokens/second
  • Effective Throughput: 190 tokens/second (temperature-adjusted)

Best Use Cases

Internal RAGExternal Research

Want this applied to YOUR actual stack?

This calculator shows the math for Sonar Deep Research. 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 Llama 4 Maverick
📋 Active Input Parameters
Input Tokens: 1,000,000
Output Tokens: 1,000,000
Tools: Enabled
Rank AI Model & Provider Total Cost vs Llama 4 Maverick vs Sonar Deep Research
🏆 Grok 4.20 Beta
xAI
 $8.000000 Best Value ↑ 966.7% more ↓ 20% cheaper
🥈 Gemini 2.5 Pro
Google
 $17.500000 ↑ 2233.3% more ↑ 75% more
🥉 Gemini 2.5 Pro
Google
 $17.500000 ↑ 2233.3% more ↑ 75% more
🏆

Grok 4.20 Beta
xAI

$8.000000
vs Llama 4 Maverick: ↑ 966.7%
vs Sonar Deep Research: ↓ 20%
🥈

Gemini 2.5 Pro
Google

$17.500000
vs Llama 4 Maverick: ↑ 2233.3%
vs Sonar Deep Research: ↑ 75%
🥉

Gemini 2.5 Pro
Google

$17.500000
vs Llama 4 Maverick: ↑ 2233.3%
vs Sonar Deep Research: ↑ 75%
✨ 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.

Internal RAG vs External Discovery

Llama 4 Maverick is the leader for internal ‘Retrieval-Augmented Generation’ (RAG), allowing companies to search their private documents safely. Sonar Deep Research is the leader for ‘External Discovery,’ browsing the live public internet to find the latest trends and news. For talking to your own files, choose Llama; for finding out what the world is saying about a new technology or market event, choose Sonar.

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.