AI Software Engineer Squad: Llama 4 Maverick (Tier 2)

Llama 4 Maverick (400B) vs Claude Opus 4.6
Complete Comparison: 25,000 input tokens × 5,000 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
Claude Opus 4.6
Anthropic
Calculation Results (Current Inputs) (30% cached)
Input Tokens 25,000 25,000
Output Tokens 5,000 5,000
Cost Breakdown
Input Cost $0.006750 (rounded ~ 0.01)Best $0.062500 (rounded ~ 0.06)Worst
Output Cost $0.004250 (rounded ~ 0.00)Best $0.062500 (rounded ~ 0.06)Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.011000 (rounded ~ 0.01) Best Value $0.107188 (rounded ~ 0.11) Most Expensive
Processing Time 1 minute, 20.00 seconds Fastest 1 minute, 54.00 seconds Slowest
Tokens per Second 400Fastest 280Slowest
Time to First Token 150ms Best 380ms Worst
Cost per 1K tokens $0.000367Best $0.003573 (rounded ~ 0.00)Worst
Tokens per Dollar 2,727,273Best Value 279,883Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.270000Best $2.500000Worst
Output Cost / 1M (Base) $0.850000Best $12.500000Worst
Input Cost / 1M (Optimized) $0.270000Best
Optimizations: No optimizations applied
$1.250000Worst
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $0.850000Best
Optimizations: No optimizations applied
$6.250000Worst
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support ✓ 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
$0.27 / $0.85 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

$0.011000 Total Cost
$0.006750 Input Cost
$0.004250 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
30,000Total Tokens
$0.000367Cost per 1K
2,727,273Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

1m 20s 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
📊 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

$0.011000 (rounded ~ 0.01)
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) $0.011000 (rounded ~ 0.01) Input: $0.006750 (rounded ~ 0.01)
Output: $0.004250 (rounded ~ 0.00)
Optimized Cost $0.011000 (rounded ~ 0.01) Input: $0.006750 (rounded ~ 0.01)
Output: $0.004250 (rounded ~ 0.00)
Unit: $0.000000
Fees: $0.000000

Detailed Cost Analysis (from Plugin)

For 25,000 input tokens and 5,000 output tokens:

  • Input Cost: $0.006750 (rounded ~ 0.01)
  • Output Cost: $0.004250 (rounded ~ 0.00)
  • Total Cost: $0.011000 (rounded ~ 0.01)
  • Cost per 1K tokens: $0.000367
  • Tokens per dollar: 2,727,273 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 minute, 20.00 seconds
  • Latency: 150 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 374 tokens/second (temperature-adjusted)

Best Use Cases

Running multiple autonomous agents on an engineering project.

Claude Opus 4.6 Anthropic 1000000

$0.107188 (rounded ~ 0.11)
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
✓ Available
90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.125000 (rounded ~ 0.13) Input: $0.062500 (rounded ~ 0.06)
Output: $0.062500 (rounded ~ 0.06)
Optimized Cost $0.107188 (rounded ~ 0.11) Input: $0.062500 (rounded ~ 0.06)
Output: $0.062500 (rounded ~ 0.06)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.017813 (rounded ~ 0.02) 14.3% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount
📊 Cliff Pricing
Standard
standard pricing (threshold: 200,000)

Detailed Cost Analysis (from Plugin)

For 25,000 input tokens and 5,000 output tokens:

  • Input Cost: $0.062500 (rounded ~ 0.06)
  • Output Cost: $0.062500 (rounded ~ 0.06)
  • Total Cost: $0.107188 (rounded ~ 0.11)
  • Cost per 1K tokens: $0.003573 (rounded ~ 0.00)
  • Tokens per dollar: 279,883 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 280 tokens per second and 380ms time to first token:

  • Processing Time: 1 minute, 54.00 seconds
  • Latency: 380 milliseconds to first token
  • Base Throughput: 280 tokens/second
  • Effective Throughput: 262 tokens/second (temperature-adjusted)

Best Use Cases

Running multiple autonomous agents on an engineering project.

✨ Market Recommendations AI Model Registry

← Back to Llama 4 Maverick (400B)
📋 Active Input Parameters
Input Tokens: 25,000
Output Tokens: 5,000
Batch API: Enabled (50% discount)
Cached Tokens: 30%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Llama 4 Maverick (400B) vs Claude Opus 4.6
🏆 Mistral Small 3
Mistral AI
 $0.000831 Best Value ↓ 92.4% cheaper ↓ 99.2% cheaper
🥈 Gemini 3.1 Flash Lite
Google
 $0.001913 (rounded ~ 0.00) ↓ 82.6% cheaper ↓ 98.2% cheaper
🥉 o4-mini Deep Research
OpenAI
 $0.009563 ↓ 13.1% cheaper ↓ 91.1% cheaper
#4 o4-mini
OpenAI
 $0.010519 ↓ 4.4% cheaper ↓ 90.2% cheaper
#5 Mistral Large 3
Mistral AI
 $0.016625 (rounded ~ 0.02) ↑ 51.1% more ↓ 84.5% cheaper
#6 GPT-5.3 Codex Spark
OpenAI
 $0.025484 (rounded ~ 0.03) ↑ 131.7% more ↓ 76.2% cheaper
#7 Grok 5
xAI
 $0.032438 (rounded ~ 0.03) ↑ 194.9% more ↓ 69.7% cheaper
#8 Gemini 3.1 Pro
Google
 $0.048250 (rounded ~ 0.05) ↑ 338.6% more ↓ 55% cheaper
#9 GPT-5.4 Thinking
OpenAI
 $0.060313 ↑ 448.3% more ↓ 43.7% cheaper
#10 Claude Sonnet 4.6
Anthropic
 $0.064313 (rounded ~ 0.06) ↑ 484.7% more ↓ 40% cheaper
#11 o3 Deep Research
OpenAI
 $0.095625 (rounded ~ 0.10) ↑ 769.3% more ↓ 10.8% cheaper
#12 Claude Opus 4.6
Anthropic
 $0.107188 (rounded ~ 0.11) ↑ 874.4% more Same price
#13 o3 Pro
OpenAI
 $0.191250 (rounded ~ 0.19) ↑ 1638.6% more ↑ 78.4% more
#14 GPT-5.2 Pro
OpenAI
 $0.305813 (rounded ~ 0.31) ↑ 2680.1% more ↑ 185.3% more
#15 GPT-5.2 Pro
OpenAI
 $0.305813 (rounded ~ 0.31) ↑ 2680.1% more ↑ 185.3% more
🏆

Mistral Small 3
Mistral AI

$0.000831
vs Llama 4 Maverick (400B): ↓ 92.4%
vs Claude Opus 4.6: ↓ 99.2%
🥈

Gemini 3.1 Flash Lite
Google

$0.001913 (rounded ~ 0.00)
vs Llama 4 Maverick (400B): ↓ 82.6%
vs Claude Opus 4.6: ↓ 98.2%
🥉

o4-mini Deep Research
OpenAI

$0.009563
vs Llama 4 Maverick (400B): ↓ 13.1%
vs Claude Opus 4.6: ↓ 91.1%
#4

o4-mini
OpenAI

$0.010519
vs Llama 4 Maverick (400B): ↓ 4.4%
vs Claude Opus 4.6: ↓ 90.2%
#5

Mistral Large 3
Mistral AI

$0.016625 (rounded ~ 0.02)
vs Llama 4 Maverick (400B): ↑ 51.1%
vs Claude Opus 4.6: ↓ 84.5%
#6

GPT-5.3 Codex Spark
OpenAI

$0.025484 (rounded ~ 0.03)
vs Llama 4 Maverick (400B): ↑ 131.7%
vs Claude Opus 4.6: ↓ 76.2%
#7

Grok 5
xAI

$0.032438 (rounded ~ 0.03)
vs Llama 4 Maverick (400B): ↑ 194.9%
vs Claude Opus 4.6: ↓ 69.7%
#8

Gemini 3.1 Pro
Google

$0.048250 (rounded ~ 0.05)
vs Llama 4 Maverick (400B): ↑ 338.6%
vs Claude Opus 4.6: ↓ 55%
#9

GPT-5.4 Thinking
OpenAI

$0.060313
vs Llama 4 Maverick (400B): ↑ 448.3%
vs Claude Opus 4.6: ↓ 43.7%
#10

Claude Sonnet 4.6
Anthropic

$0.064313 (rounded ~ 0.06)
vs Llama 4 Maverick (400B): ↑ 484.7%
vs Claude Opus 4.6: ↓ 40%
#11

o3 Deep Research
OpenAI

$0.095625 (rounded ~ 0.10)
vs Llama 4 Maverick (400B): ↑ 769.3%
vs Claude Opus 4.6: ↓ 10.8%
#12

Claude Opus 4.6
Anthropic

$0.107188 (rounded ~ 0.11)
vs Llama 4 Maverick (400B): ↑ 874.4%
vs Claude Opus 4.6: Same
#13

o3 Pro
OpenAI

$0.191250 (rounded ~ 0.19)
vs Llama 4 Maverick (400B): ↑ 1638.6%
vs Claude Opus 4.6: ↑ 78.4%
#14

GPT-5.2 Pro
OpenAI

$0.305813 (rounded ~ 0.31)
vs Llama 4 Maverick (400B): ↑ 2680.1%
vs Claude Opus 4.6: ↑ 185.3%
#15

GPT-5.2 Pro
OpenAI

$0.305813 (rounded ~ 0.31)
vs Llama 4 Maverick (400B): ↑ 2680.1%
vs Claude Opus 4.6: ↑ 185.3%
✨ 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.

Running multiple autonomous agents on an engineering project.

Estimate the operational costs for 2026 enterprise AI deployments using latest tokenomics.

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.