Llama 4 Maverick 1M input/output tokens price and performance

Complete Analysis: 2,000,000 tokens for llama-4-maverick

Complete analysis of pricing, performance, and use cases for Meta's llama-4-maverick model .

$1.120000 Total Cost
2,000,000 Total Tokens
1 hour, 25 minutes, 50.00 seconds Processing Time
388 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
$1.344000Total 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
$0.000672Cost per 1K
1,488,095Tokens per $

Click Recalculate to update after making changes

Calculate Processing Speed

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85m 50sProcessing Time
400Tokens/Second
150msTime to First Token
388Effective 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 Meta 1000000

$1.120000
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) $1.120000 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

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: $0.000000
  • Total Cost: $1.120000
  • Cost per 1K tokens: $0.000672
  • Tokens per dollar: 1,488,095 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, 25 minutes, 50.00 seconds
  • Latency: 150 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 388 tokens/second

Best Use Cases

Multilingual ContentAcademic ResearchText Generation

Open Weights Text Performance

Llama 4 Maverick, when hosted via API, costs roughly $1.16 for a 1M/1M token split. It brings frontier-level text capabilities to the open ecosystem, offering a 1-million token context window and excellent performance in multilingual text generation and research tasks.

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.