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

Complete Analysis: 2,000,000 tokens for Llama 4 Scout

Complete analysis of pricing, performance, and use cases for Meta AI's Llama 4 Scout model .

$0.380000 Total Cost
2,000,000 Total Tokens
59 minutes, 26.00 seconds Processing Time
561 Effective Tokens/Sec

Click Recalculate to update after making changes

Select AI Model

Llama 4 Scout
Meta AIMax Context: 10,000,000 tokens
$0.08 / $0.3 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

$0.380000 Total Cost
$0.080000 Input Cost
$0.300000 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
$0.000190Cost per 1K
5,263,158Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

59m 26s Processing Time
600 Tokens/Second
120ms Time to First Token
561 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 Scout Meta AI 10000000

$0.380000
Total Cost
👁️
Vision/Images
✗ Not Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✗ Not Available
📄
OCR Support
✗ Not Available
📊
Batch API
✓ Available
⚡
Caching
✗ Not Available

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.380000 Input: $0.080000
Output: $0.300000
Optimized Cost $0.380000 Input: $0.080000
Output: $0.300000
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: $0.080000
  • Output Cost: $0.300000
  • Total Cost: $0.380000
  • Cost per 1K tokens: $0.000190
  • Tokens per dollar: 5,263,158 tokens
  • Context Window: 10000000 tokens

Speed & Performance Analysis

With a processing speed of 600 tokens per second and 120ms time to first token:

  • Processing Time: 59 minutes, 26.00 seconds
  • Latency: 120 milliseconds to first token
  • Base Throughput: 600 tokens/second
  • Effective Throughput: 561 tokens/second (temperature-adjusted)

Best Use Cases

10M Context AnalysisMassive Document RAG

✨ Market Recommendations AI Model Registry

← Back to Llama 4 Scout
📋 Active Input Parameters
Input Tokens: 1,000,000
Output Tokens: 1,000,000
Rank AI Model & Provider Total Cost vs Llama 4 Scout
🏆 Grok 4.1 Fast
xAI
 $1.220000 Best Value ↑ 221.1% more
🥈 Grok 5
xAI
 $18.000000 ↑ 4636.8% more
🥉 Gemini 3.1 Pro
Google
 $22.000000 ↑ 5689.5% more
#4 Gemini 3.1 Pro
Google
 $22.000000 ↑ 5689.5% more
🏆

Grok 4.1 Fast
xAI

$1.220000
vs Llama 4 Scout: ↑ 221.1%
🥈

Grok 5
xAI

$18.000000
vs Llama 4 Scout: ↑ 4636.8%
🥉

Gemini 3.1 Pro
Google

$22.000000
vs Llama 4 Scout: ↑ 5689.5%
#4

Gemini 3.1 Pro
Google

$22.000000
vs Llama 4 Scout: ↑ 5689.5%
✨ How recommendations work: We scan all active models in the registry that support your current inputs (basic text), calculate costs with all your parameters, and sort by total cost (cheapest first). Features marked requested were in your inputs but not supported by that model.

Next-Generation Llama 4 Scout Intelligence

Llama 4 Scout is a frontier model from Meta AI optimized for the 2026 AI landscape.

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.
How do Market Recommendations work?
Our recommendation engine scans the entire model registry for alternatives that support all your current input parameters (images, video, audio, OCR, tools, etc.). It calculates exact costs with your settings and sorts by price, showing you the best value options available in the market.
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.