Llama 4 Maverick: The Open-Weights Multilingual Frontier

Complete Analysis: 2,000,000 tokens for Llama 4 Maverick (400B)

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

$1.120000 Total Cost
2,000,000 Total Tokens
1 hour, 29 minutes, 10.00 seconds Processing Time
374 Effective Tokens/Sec

Click Recalculate to update after making changes

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
$0.27 / $0.85 per 1M tokens
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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

$1.120000 Total Cost
$0.270000 Input Cost
$0.850000 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
$0.000560Cost per 1K
1,785,714Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

89m 10s Processing Time
400 Tokens/Second
150ms Time to First Token
374 Effective Speed

Model Comparison

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Model Information

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🔄 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 AI 1000000

$1.120000
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) $1.120000 Input: $0.270000
Output: $0.850000
Optimized Cost $1.120000 Input: $0.270000
Output: $0.850000
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: $0.270000
  • Output Cost: $0.850000
  • Total Cost: $1.120000
  • Cost per 1K tokens: $0.000560
  • Tokens per dollar: 1,785,714 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, 29 minutes, 10.00 seconds
  • Latency: 150 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 374 tokens/second (temperature-adjusted)

Best Use Cases

Multilingual SupportResearchGlobal Branding

✨ Market Recommendations AI Model Registry

← Back to Llama 4 Maverick (400B)
📋 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 (400B)
🏆 Grok 5
xAI
 $18.000000 Best Value ↑ 1507.1% more
🥈 Grok 5
xAI
 $18.000000 ↑ 1507.1% more
🏆

Grok 5
xAI

$18.000000
vs Llama 4 Maverick (400B): ↑ 1507.1%
🥈

Grok 5
xAI

$18.000000
vs Llama 4 Maverick (400B): ↑ 1507.1%
✨ 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.

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Meta’s Flagship Open Powerhouse

Llama 4 Maverick is Meta’s most powerful open-weights model in 2026, offering 1M tokens of context. When accessed via API, the $1.16 1M/1M cost is highly competitive. It is the premier choice for developers who want frontier-level performance in a wide range of global languages. Maverick’s ability to handle complex multilingual nuances makes it ideal for global customer support and academic research across disparate datasets.

Flexibility and Control

Maverick provides the flexibility of an open model with the performance of a managed service. Its training on massive multilingual corpora allows it to maintain coherence in over 100 languages. For researchers, its 1M context window enables the synthesis of entire academic journals in a single query, identifying trends and cross-references with high precision.

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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.