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 .

$1.170000 Total Cost
2,000,000 Total Tokens
1 hour, 29 minutes, 10.00 seconds Processing Time
374 Effective Tokens/Sec
ℹ️ Note: Calculation represents bulk volume across multiple requests; single-request limit is 1,000,000 tokens.

Select AI Model

Llama 4 Maverick (400B)
Meta AIMax Context: 1,000,000 tokens
Input: $0.270000 / 1M
Output: $0.850000 / 1M

Calculate Token Costs

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Provider-specific multipliers applied after all calculations
Enable for Haiku 4.5 hard cap bypass
Select platform to enforce context limits
Number of requests (max 1M). Summary view auto-enabled >10k.
Multiply total cost by quantity for project budgeting
$1.404000Total Cost
$0.270000Input Cost
$0.850000Output Cost
$0.000000Unit Cost
$0.000000Search Cost
$0.000000Request Fee
$0.000000Tool Fee
$0.000000Code Execution
2,000,000Total Tokens
$0.000702Cost per 1K
1,424,501Tokens per $

Click Recalculate to update after making changes

Calculate Processing Speed

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89m 10sProcessing Time
400Tokens/Second
150msTime to First Token
374Effective Speed

Model Comparison

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Model Information

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🔄 Advanced Options

⚡ Optimization
0%
Flat fee per session (e.g., $0.03 for Code Interpreter)
Hourly storage fee for cached data (Pro: $4.50/1M/hr, Flash: $1.00/1M/hr)
First 50 hours free, $0.05/hour after (reset at 00:00 UTC)
🧠 Specialized Modes
Enable Thinking Mode (Google models)
Manual thinking tokens (billed at output rate, disabled by default)
Adaptive thinking token estimation for DeepSeek models
30% output surcharge (Vertex AI priority)
Billed at output rate × reasoning multiplier
Global 2x multiplier for priority processing
Enable Reasoning/Thinking Mode (DeepSeek R1, Grok Deep Reason)
Enable Agentic Swarm
🔧 Automated Service Fees
Enable for DeepSeek V4 ($0.01 per 1M tokens)
Enable code execution (adds $0.05 flat fee)
$0.01 per query (auto-applied based on Search Queries input)
🤖 xAI Agent Tools (Unified $5.00/1k)
Real-time X data access calls
Standard internet search calls
Python sandbox execution calls (overrides flat fee if set)
📚 xAI RAG Tools (Unified $2.50/1k)
File search tool access
Collections/RAG knowledge base access - aggregated with File Search at $2.50/1k
ℹ️ Updated xAI Tool Pricing: Agent tools (web, X, code) at $5.00/1k calls. RAG tools (collections, file) at $2.50/1k calls. Integer code_execution_calls overrides boolean.
🎤 Realtime Audio & Deep Research
Enable Deep Research ($2.00/$8.00 rates)
Session length for billing ($0.01 per minute, rounded up)
Active speech time within session
📄 Mistral AI - Unit-Based Options
Number of pages to process with OCR (tiered pricing auto-applied)
Enable HTML table reconstruction surcharge
Duration-based audio processing (not token-based)
Enable speaker diarization (Voxtral models only)
Enable context biasing (Voxtral models only)
🔬 Research & Citation
Enable research tier pricing ($2.00/$8.00 + $0.005/query)
Enable reasoning with 1,000 token floor ($0.015 min)
Fee per source cited when research mode is enabled
⚙️ Performance Tuning
Low = Fast
High = Creative
📊 Advanced Cost Breakdown

Llama 4 Maverick (400B) Meta AI 1000000

$1.170000
Total Cost
⚠️ Note: Calculation represents bulk volume across multiple requests; single-request limit is 1,000,000 tokens.
👁️
Vision/Images
✓ 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

Base Cost (No Optimizations) $1.170000 Input: $0.270000
Output: $0.850000
Optimized Cost $1.170000 Input: $0.270000
Output: $0.850000
Unit: $0.000000
Fees: $0.050000

Advanced Cost Breakdown

💻 Code Execution
$0.050000
Flat fee per execution

Detailed Cost Analysis

For 1,000,000 input tokens and 1,000,000 output tokens:

  • Input Cost: $0.270000
  • Output Cost: $0.850000
  • Unit Cost: $0.000000
  • Service Fees: $0.050000
  • Total Cost: $1.170000
  • Cost per 1K tokens: $0.000702
  • Tokens per dollar: 1,424,501 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

Best Use Cases

Multilingual SupportResearchGlobal Branding

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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.
What is the YemHub AI Calculator Tool?
The YemHub AI Calculator is the most comprehensive tool for estimating costs and comparing performance metrics across 38 AI models. It calculates token-based pricing, analyzes multimodal processing, and provides optimization recommendations.