Llama 4 Maverick for Local Edge Device Deployment Cost

Complete Analysis: 2,500 tokens for Llama 4 Maverick (400B)

Complete analysis of pricing, performance, and use cases for Meta's Llama 4 Maverick (400B) model .

$0.000965 Total Cost
2,500 Total Tokens
6.00 seconds Processing Time
374 Effective Tokens/Sec

Click Recalculate to update after making changes

Select AI Model

Llama 4 Maverick
Meta AIMax Context: 1,000,000 tokens
$0.27 / $0.85 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

$0.000540 Input Cost
$0.000425 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
2,500Total Tokens
$0.000386Cost per 1K
2,590,674Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

6.87s Processing Time
400 Tokens/Second
150ms Time to First Token
374 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

Llama 4 Maverick (400B) Meta 1000000

$0.000965
Total Cost
🔧 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) $0.000965 Input: $0.000540
Output: $0.000425
Optimized Cost $0.000965 Input: $0.000540
Output: $0.000425
Unit: $0.000000
Fees: $0.000000

Detailed Cost Analysis (from Plugin)

For 2,000 input tokens and 500 output tokens:

  • Input Cost: $0.000540
  • Output Cost: $0.000425
  • Total Cost: $0.000965
  • Cost per 1K tokens: $0.000386
  • Tokens per dollar: 2,590,674 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: 6.00 seconds
  • Latency: 150 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 374 tokens/second (temperature-adjusted)

Best Use Cases

Edge ComputingPrivate AIOn-premise Automation

✨ Market Recommendations AI Model Registry

← Back to Llama 4 Maverick (400B)
📋 Active Input Parameters
Input Tokens: 2,000
Output Tokens: 500
Tools: Enabled
Rank AI Model & Provider Total Cost vs Llama 4 Maverick (400B)
🏆 Mistral Small 3
Mistral AI
$0.000350 Best Value ↓ 63.7% cheaper
🥈 Gemini 3.1 Flash Lite
Google
$0.000400 ↓ 58.5% cheaper
🥉 Llama 4 Maverick (400B)
Meta AI
$0.000965 Same price
#4 o4-mini Deep Research
OpenAI
$0.004000 (rounded ~ 0.00) ↑ 314.5% more
#5 o4-mini
OpenAI
$0.004400 (rounded ~ 0.00) ↑ 356% more
#6 Mistral Large 3
Mistral AI
$0.007000 (rounded ~ 0.01) ↑ 625.4% more
#7 Sonar Deep Research
Perplexity
$0.008000 (rounded ~ 0.01) ↑ 729% more
#8 Gemini 3.1 Pro
Google
$0.010000 ↑ 936.3% more
#9 GPT-5.3 Codex Spark
OpenAI
$0.010500 ↑ 988.1% more
#10 GPT-5.4 Thinking
OpenAI
$0.012500 (rounded ~ 0.01) ↑ 1195.3% more
#11 Claude Sonnet 4.6
Anthropic
$0.013500 (rounded ~ 0.01) ↑ 1299% more
#12 Grok 5
xAI
$0.013500 (rounded ~ 0.01) ↑ 1299% more
#13 Claude Opus 4.6
Anthropic
$0.022500 (rounded ~ 0.02) ↑ 2231.6% more
#14 Sonar Pro
Perplexity
$0.023500 (rounded ~ 0.02) ↑ 2335.2% more
#15 o3 Deep Research
OpenAI
$0.040000 ↑ 4045.1% more
#16 o3 Pro
OpenAI
$0.080000 ↑ 8190.2% more
#17 GPT-5.2 Pro
OpenAI
$0.126000 (rounded ~ 0.13) ↑ 12957% more
#18 GPT-5.2 Pro
OpenAI
$0.126000 (rounded ~ 0.13) ↑ 12957% more
🏆

Mistral Small 3
Mistral AI

$0.000350
vs Llama 4 Maverick (400B): ↓ 63.7%
🥈

Gemini 3.1 Flash Lite
Google

$0.000400
vs Llama 4 Maverick (400B): ↓ 58.5%
🥉

Llama 4 Maverick (400B)
Meta AI

$0.000965
vs Llama 4 Maverick (400B): Same
#4

o4-mini Deep Research
OpenAI

$0.004000 (rounded ~ 0.00)
vs Llama 4 Maverick (400B): ↑ 314.5%
#5

o4-mini
OpenAI

$0.004400 (rounded ~ 0.00)
vs Llama 4 Maverick (400B): ↑ 356%
#6

Mistral Large 3
Mistral AI

$0.007000 (rounded ~ 0.01)
vs Llama 4 Maverick (400B): ↑ 625.4%
#7

Sonar Deep Research
Perplexity

$0.008000 (rounded ~ 0.01)
vs Llama 4 Maverick (400B): ↑ 729%
#8

Gemini 3.1 Pro
Google

$0.010000
vs Llama 4 Maverick (400B): ↑ 936.3%
#9

GPT-5.3 Codex Spark
OpenAI

$0.010500
vs Llama 4 Maverick (400B): ↑ 988.1%
#10

GPT-5.4 Thinking
OpenAI

$0.012500 (rounded ~ 0.01)
vs Llama 4 Maverick (400B): ↑ 1195.3%
#11

Claude Sonnet 4.6
Anthropic

$0.013500 (rounded ~ 0.01)
vs Llama 4 Maverick (400B): ↑ 1299%
#12

Grok 5
xAI

$0.013500 (rounded ~ 0.01)
vs Llama 4 Maverick (400B): ↑ 1299%
#13

Claude Opus 4.6
Anthropic

$0.022500 (rounded ~ 0.02)
vs Llama 4 Maverick (400B): ↑ 2231.6%
#14

Sonar Pro
Perplexity

$0.023500 (rounded ~ 0.02)
vs Llama 4 Maverick (400B): ↑ 2335.2%
#15

o3 Deep Research
OpenAI

$0.040000
vs Llama 4 Maverick (400B): ↑ 4045.1%
#16

o3 Pro
OpenAI

$0.080000
vs Llama 4 Maverick (400B): ↑ 8190.2%
#17

GPT-5.2 Pro
OpenAI

$0.126000 (rounded ~ 0.13)
vs Llama 4 Maverick (400B): ↑ 12957%
#18

GPT-5.2 Pro
OpenAI

$0.126000 (rounded ~ 0.13)
vs Llama 4 Maverick (400B): ↑ 12957%
✨ 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.

Private Infrastructure Intelligence

Estimate the hardware vs API cost for deploying Llama 4 Maverick on private servers. Optimized for data sovereignty and offline industrial automation.

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.