Autonomous Agent Performance: Llama 4 Maverick (400B) vs Grok 5 (Scenario 5)

Llama 4 Maverick (400B) vs Grok 5
Complete Comparison: 50,000 input tokens × 12,500 output tokens
Comparison Mode
⚡ 30% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 30% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria Llama 4 Maverick (400B)
Meta AI
Grok 5
xAI
Calculation Results (Current Inputs) (30% cached)
Input Tokens 50,000 N/A (Special Pricing)
Output Tokens 12,500 N/A (Special Pricing)
Cost Breakdown
Input Cost $0.007500 (rounded ~ $0.01) N/A (Special Pricing)
Output Cost $0.007500 (rounded ~ $0.01) N/A (Special Pricing)
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.015000 (rounded ~ $0.02) Best Value $0.019219 Most Expensive
Processing Time 2 minutes, 47.37 seconds Slowest 2 minutes, 8.79 seconds Fastest
Tokens per Second 400 N/A (Special Pricing)
Time to First Token 150ms Best 190ms Worst
Cost per 1K tokens $0.000240 N/A (Special Pricing)
Tokens per Dollar 4,166,667 N/A (Special Pricing)
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.150000 N/A (Special Pricing)
Output Cost / 1M (Base) $0.600000 N/A (Special Pricing)
Input Cost / 1M (Optimized) $0.150000
Optimizations: No optimizations applied
N/A (Special Pricing)
Output Cost / 1M (Optimized) $0.600000
Optimizations: No optimizations applied
N/A (Special Pricing)
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Video Support ✗ Not Supported ✓ Supported
Audio Support ✗ Not Supported ✓ Supported
Caching Support
30
✗ Not Supported requested ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
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Select AI Model

Llama 4 Maverick (400B)
Meta AIMax Context: 1,000,000 tokens
$0.15 / $0.6 per 1M tokens
▼
▼
Use Batch API (50% discount)
30%
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

$0.015000 Total Cost
$0.007500 Input Cost
$0.007500 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
62,500Total Tokens
$0.000240Cost per 1K
4,166,667Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

2m 47s 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
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 (400B) Meta AI 1000000

$0.015000 (rounded ~ $0.02)
Total Cost
⚡ 30% Cached 📊 Batch API 🔧 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) $0.015000 (rounded ~ $0.02) Input: $0.007500 (rounded ~ $0.01)
Output: $0.007500 (rounded ~ $0.01)
Optimized Cost $0.015000 (rounded ~ $0.02) Input: $0.007500 (rounded ~ $0.01)
Output: $0.007500 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000

Detailed Cost Analysis (from Plugin)

For 50,000 input tokens and 12,500 output tokens:

  • Input Cost: $0.007500 (rounded ~ $0.01)
  • Output Cost: $0.007500 (rounded ~ $0.01)
  • Total Cost: $0.015000 (rounded ~ $0.02)
  • Cost per 1K tokens: $0.000240
  • Tokens per dollar: 4,166,667 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: 2 minutes, 47.37 seconds
  • Latency: 150 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 374 tokens/second (temperature-adjusted)

Best Use Cases

Multi-agent DevOps and industrial automation.

Want this applied to YOUR actual stack?

This calculator shows the math for Llama 4 Maverick (400B). Your decision needs more — current infrastructure, compliance requirements, actual workload patterns, volume tiers — that change which model is right for you.

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Grok 5 xAI 1000000

$0.019219
Total Cost
⚡ 30% Cached 📊 Batch API 🔧 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) $0.023438 (rounded ~ $0.02) Input: $0.015625 (rounded ~ $0.02)
Output: $0.007813 (rounded ~ $0.01)
Optimized Cost $0.019219 Input: $0.015625 (rounded ~ $0.02)
Output: $0.007813 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.004219 18.0% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 50,000 input tokens and 12,500 output tokens:

  • Input Cost: $0.015625 (rounded ~ $0.02)
  • Output Cost: $0.007813 (rounded ~ $0.01)
  • Total Cost: $0.019219
  • Cost per 1K tokens: $0.000308
  • Tokens per dollar: 3,252,033 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 520 tokens per second and 190ms time to first token:

  • Processing Time: 2 minutes, 8.79 seconds
  • Latency: 190 milliseconds to first token
  • Base Throughput: 520 tokens/second
  • Effective Throughput: 486 tokens/second (temperature-adjusted)

Best Use Cases

Multi-agent DevOps and industrial automation.

Want this applied to YOUR actual stack?

This calculator shows the math for Grok 5. 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 (400B)
📋 Active Input Parameters
Input Tokens: 50,000
Output Tokens: 12,500
Batch API: Enabled (50% discount)
Cached Tokens: 30%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Llama 4 Maverick (400B) vs Grok 5
🏆 Mistral Small 3
Mistral AI
 $0.001850 Best Value ↓ 87.7% cheaper ↓ 90.4% cheaper
🥈 Grok Code Fast 1
xAI
 $0.006513 (rounded ~ $0.01) ↓ 56.6% cheaper ↓ 66.1% cheaper
🥉 Gemini 3.1 Flash Lite
Google
 $0.006969 (rounded ~ $0.01) ↓ 53.5% cheaper ↓ 63.7% cheaper
#4 Mistral Large 3
Mistral AI
 $0.009250 ↓ 38.3% cheaper ↓ 51.9% cheaper
#5 Gemini 2.5 Flash
Google
 $0.010550 ↓ 29.7% cheaper ↓ 45.1% cheaper
#6 Grok 4.3
xAI
 $0.019219 ↑ 28.1% more Same price
#7 GPT-5.4 mini
OpenAI
 $0.020906 ↑ 39.4% more ↑ 8.8% more
#8 o4-mini Deep Research
OpenAI
 $0.021625 (rounded ~ $0.02) ↑ 44.2% more ↑ 12.5% more
#9 o4-mini
OpenAI
 $0.023788 (rounded ~ $0.02) ↑ 58.6% more ↑ 23.8% more
#10 Claude Haiku 4.5
Anthropic
 $0.024750 (rounded ~ $0.02) ↑ 65% more ↑ 28.8% more
#11 Gemini 3.1 Flash
Google
 $0.027875 (rounded ~ $0.03) ↑ 85.8% more ↑ 45% more
#12 Grok 4.20 Beta
xAI
 $0.037000 (rounded ~ $0.04) ↑ 146.7% more ↑ 92.5% more
#13 Gemini 3.5 Flash
Google
 $0.041813 (rounded ~ $0.04) ↑ 178.8% more ↑ 117.6% more
#14 GPT-5.3 Codex Spark
OpenAI
 $0.059719 ↑ 298.1% more ↑ 210.7% more
#15 GPT-5.3 Instant
OpenAI
 $0.059719 ↑ 298.1% more ↑ 210.7% more
#16 Claude Sonnet 4.6
Anthropic
 $0.074250 (rounded ~ $0.07) ↑ 395% more ↑ 286.3% more
#17 Gemini 2.5 Pro
Google
 $0.085313 (rounded ~ $0.09) ↑ 468.8% more ↑ 343.9% more
#18 Gemini 3.1 Pro
Google
 $0.111500 (rounded ~ $0.11) ↑ 643.3% more ↑ 480.2% more
#19 Claude Opus 4.7
Anthropic
 $0.123750 (rounded ~ $0.12) ↑ 725% more ↑ 543.9% more
#20 Claude Opus 4.8
Anthropic
 $0.123750 (rounded ~ $0.12) ↑ 725% more ↑ 543.9% more
#21 Claude Opus 4.6
Anthropic
 $0.123750 (rounded ~ $0.12) ↑ 725% more ↑ 543.9% more
#22 GPT-5.4
OpenAI
 $0.139375 ↑ 829.2% more ↑ 625.2% more
#23 GPT-5.4 Thinking
OpenAI
 $0.139375 ↑ 829.2% more ↑ 625.2% more
#24 GPT-5.5 Instant
OpenAI
 $0.139375 ↑ 829.2% more ↑ 625.2% more
#25 o3 Deep Research
OpenAI
 $0.216250 (rounded ~ $0.22) ↑ 1341.7% more ↑ 1025.2% more
#26 GPT-5.5
OpenAI
 $0.278750 (rounded ~ $0.28) ↑ 1758.3% more ↑ 1350.4% more
#27 o3 Pro
OpenAI
 $0.432500 (rounded ~ $0.43) ↑ 2783.3% more ↑ 2150.4% more
#28 GPT-5.2 Pro
OpenAI
 $0.716625 (rounded ~ $0.72) ↑ 4677.5% more ↑ 3628.8% more
#29 GPT-5.2 Pro
OpenAI
 $0.716625 (rounded ~ $0.72) ↑ 4677.5% more ↑ 3628.8% more
🏆

Mistral Small 3
Mistral AI

$0.001850
vs Llama 4 Maverick (400B): ↓ 87.7%
vs Grok 5: ↓ 90.4%
🥈

Grok Code Fast 1
xAI

$0.006513 (rounded ~ $0.01)
vs Llama 4 Maverick (400B): ↓ 56.6%
vs Grok 5: ↓ 66.1%
🥉

Gemini 3.1 Flash Lite
Google

$0.006969 (rounded ~ $0.01)
vs Llama 4 Maverick (400B): ↓ 53.5%
vs Grok 5: ↓ 63.7%
#4

Mistral Large 3
Mistral AI

$0.009250
vs Llama 4 Maverick (400B): ↓ 38.3%
vs Grok 5: ↓ 51.9%
#5

Gemini 2.5 Flash
Google

$0.010550
vs Llama 4 Maverick (400B): ↓ 29.7%
vs Grok 5: ↓ 45.1%
#6

Grok 4.3
xAI

$0.019219
vs Llama 4 Maverick (400B): ↑ 28.1%
vs Grok 5: Same
#7

GPT-5.4 mini
OpenAI

$0.020906
vs Llama 4 Maverick (400B): ↑ 39.4%
vs Grok 5: ↑ 8.8%
#8

o4-mini Deep Research
OpenAI

$0.021625 (rounded ~ $0.02)
vs Llama 4 Maverick (400B): ↑ 44.2%
vs Grok 5: ↑ 12.5%
#9

o4-mini
OpenAI

$0.023788 (rounded ~ $0.02)
vs Llama 4 Maverick (400B): ↑ 58.6%
vs Grok 5: ↑ 23.8%
#10

Claude Haiku 4.5
Anthropic

$0.024750 (rounded ~ $0.02)
vs Llama 4 Maverick (400B): ↑ 65%
vs Grok 5: ↑ 28.8%
#11

Gemini 3.1 Flash
Google

$0.027875 (rounded ~ $0.03)
vs Llama 4 Maverick (400B): ↑ 85.8%
vs Grok 5: ↑ 45%
#12

Grok 4.20 Beta
xAI

$0.037000 (rounded ~ $0.04)
vs Llama 4 Maverick (400B): ↑ 146.7%
vs Grok 5: ↑ 92.5%
#13

Gemini 3.5 Flash
Google

$0.041813 (rounded ~ $0.04)
vs Llama 4 Maverick (400B): ↑ 178.8%
vs Grok 5: ↑ 117.6%
#14

GPT-5.3 Codex Spark
OpenAI

$0.059719
vs Llama 4 Maverick (400B): ↑ 298.1%
vs Grok 5: ↑ 210.7%
#15

GPT-5.3 Instant
OpenAI

$0.059719
vs Llama 4 Maverick (400B): ↑ 298.1%
vs Grok 5: ↑ 210.7%
#16

Claude Sonnet 4.6
Anthropic

$0.074250 (rounded ~ $0.07)
vs Llama 4 Maverick (400B): ↑ 395%
vs Grok 5: ↑ 286.3%
#17

Gemini 2.5 Pro
Google

$0.085313 (rounded ~ $0.09)
vs Llama 4 Maverick (400B): ↑ 468.8%
vs Grok 5: ↑ 343.9%
#18

Gemini 3.1 Pro
Google

$0.111500 (rounded ~ $0.11)
vs Llama 4 Maverick (400B): ↑ 643.3%
vs Grok 5: ↑ 480.2%
#19

Claude Opus 4.7
Anthropic

$0.123750 (rounded ~ $0.12)
vs Llama 4 Maverick (400B): ↑ 725%
vs Grok 5: ↑ 543.9%
#20

Claude Opus 4.8
Anthropic

$0.123750 (rounded ~ $0.12)
vs Llama 4 Maverick (400B): ↑ 725%
vs Grok 5: ↑ 543.9%
#21

Claude Opus 4.6
Anthropic

$0.123750 (rounded ~ $0.12)
vs Llama 4 Maverick (400B): ↑ 725%
vs Grok 5: ↑ 543.9%
#22

GPT-5.4
OpenAI

$0.139375
vs Llama 4 Maverick (400B): ↑ 829.2%
vs Grok 5: ↑ 625.2%
#23

GPT-5.4 Thinking
OpenAI

$0.139375
vs Llama 4 Maverick (400B): ↑ 829.2%
vs Grok 5: ↑ 625.2%
#24

GPT-5.5 Instant
OpenAI

$0.139375
vs Llama 4 Maverick (400B): ↑ 829.2%
vs Grok 5: ↑ 625.2%
#25

o3 Deep Research
OpenAI

$0.216250 (rounded ~ $0.22)
vs Llama 4 Maverick (400B): ↑ 1341.7%
vs Grok 5: ↑ 1025.2%
#26

GPT-5.5
OpenAI

$0.278750 (rounded ~ $0.28)
vs Llama 4 Maverick (400B): ↑ 1758.3%
vs Grok 5: ↑ 1350.4%
#27

o3 Pro
OpenAI

$0.432500 (rounded ~ $0.43)
vs Llama 4 Maverick (400B): ↑ 2783.3%
vs Grok 5: ↑ 2150.4%
#28

GPT-5.2 Pro
OpenAI

$0.716625 (rounded ~ $0.72)
vs Llama 4 Maverick (400B): ↑ 4677.5%
vs Grok 5: ↑ 3628.8%
#29

GPT-5.2 Pro
OpenAI

$0.716625 (rounded ~ $0.72)
vs Llama 4 Maverick (400B): ↑ 4677.5%
vs Grok 5: ↑ 3628.8%
✨ 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.

Enterprise Comparison: Multi-agent DevOps and industrial automation.

Detailed cost-performance analysis for Q2 2026.

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 does prompt caching work?
Caching discounts vary by provider: Google and OpenAI offer 90% discounts on cached input tokens. Anthropic uses write (1.25x) and read (0.10x) multipliers. Savings are applied to the token portion only, not unit-based fees.
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.