Llama 4 Scout for Massive Vector Database RAG: Cost Calculator

Complete Analysis: 1,001,000 tokens for Llama 4 Scout

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

$0.080300 Total Cost
1,001,000 Total Tokens
29 minutes, 45.00 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

$0.080300 Total Cost
$0.080000 Input Cost
$0.000300 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
1,001,000Total Tokens
$0.000080Cost per 1K
12,465,753Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

29m 45s Processing Time
600 Tokens/Second
120ms Time to First Token
561 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

Llama 4 Scout Meta AI 10000000

$0.080300
Total Cost
📊 Batch API 🔧 Tools
👁️
Vision/Images
✗ Not Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✗ Not Available requested
📄
OCR Support
✗ Not Available
📊
Batch API
✓ Available
⚡
Caching
✗ Not Available

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.080300 Input: $0.080000
Output: $0.000300
Optimized Cost $0.080300 Input: $0.080000
Output: $0.000300
Unit: $0.000000
Fees: $0.000000

Detailed Cost Analysis (from Plugin)

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

  • Input Cost: $0.080000
  • Output Cost: $0.000300
  • Total Cost: $0.080300
  • Cost per 1K tokens: $0.000080
  • Tokens per dollar: 12,465,753 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: 29 minutes, 45.00 seconds
  • Latency: 120 milliseconds to first token
  • Base Throughput: 600 tokens/second
  • Effective Throughput: 561 tokens/second (temperature-adjusted)

Best Use Cases

Vector RAGDocument SummarizationInternal Knowledge Bases

✨ Market Recommendations AI Model Registry

← Back to Llama 4 Scout
📋 Active Input Parameters
Input Tokens: 1,000,000
Output Tokens: 1,000
Batch API: Enabled (50% discount)
Tools: Enabled
Rank AI Model & Provider Total Cost vs Llama 4 Scout
🏆 Grok 5
xAI
 $0.753750 (rounded ~ 0.75) Best Value ↑ 838.7% more
🥈 Gemini 3.1 Pro
Google
 $2.009000 ↑ 2401.9% more
🥉 GPT-5.4 Thinking
OpenAI
 $2.515000 (rounded ~ 2.52) ↑ 3032% more
#4 GPT-5.4 Thinking
OpenAI
 $2.515000 (rounded ~ 2.52) ↑ 3032% more
🏆

Grok 5
xAI

$0.753750 (rounded ~ 0.75)
vs Llama 4 Scout: ↑ 838.7%
🥈

Gemini 3.1 Pro
Google

$2.009000
vs Llama 4 Scout: ↑ 2401.9%
🥉

GPT-5.4 Thinking
OpenAI

$2.515000 (rounded ~ 2.52)
vs Llama 4 Scout: ↑ 3032%
#4

GPT-5.4 Thinking
OpenAI

$2.515000 (rounded ~ 2.52)
vs Llama 4 Scout: ↑ 3032%
✨ 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.

Vector Retrieval & Summary Leader

Scout is Meta’s RAG-optimized model. Use this calculator to find the cost of retrieving and summarizing 1M tokens of document context with local-comparable speeds.

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.