Llama 4 Scout for Visual Knowledge Base RAG Cost

Complete Analysis: 101,000 tokens for Llama 4 Scout
🖼️ 25 Images

Complete analysis of pricing, performance, and use cases for Meta's Llama 4 Scout model with 25 Images.

$0.008300 (rounded ~ $0.01) Total Cost
101,000 Total Tokens
2 minutes, 55.25 seconds Processing Time
577 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
▼
▼
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

$0.008300 Total Cost
$0.008000 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
101,000Total Tokens
$0.000082Cost per 1K
12,168,675Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

2m 55s Processing Time
600 Tokens/Second
120ms Time to First Token
577 Effective Speed

Model Comparison

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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
Manual thinking tokens (billed at output rate)
🔧 Special Modes
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 10000000

$0.008300 (rounded ~ $0.01)
Total Cost
🖼️ 25 Image (Medium) 📊 Batch API 🔧 Tools
👁️
Vision/Images
✗ Not Available requested
🎧
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) $0.008300 (rounded ~ $0.01) Input: $0.008000 (rounded ~ $0.01)
Output: $0.000300
Optimized Cost $0.008300 (rounded ~ $0.01) Input: $0.008000 (rounded ~ $0.01)
Output: $0.000300
Unit: $0.000000
Fees: $0.000000

Detailed Cost Analysis (from Plugin)

For 100,000 input tokens and 1,000 output tokens:

  • Input Cost: $0.008000 (rounded ~ $0.01)
  • Output Cost: $0.000300
  • Total Cost: $0.008300 (rounded ~ $0.01)
  • Cost per 1K tokens: $0.000082
  • Tokens per dollar: 12,168,675 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: 2 minutes, 55.25 seconds
  • Latency: 120 milliseconds to first token
  • Base Throughput: 600 tokens/second
  • Effective Throughput: 577 tokens/second (temperature-adjusted)

Best Use Cases

Technical Manual SearchVisual RAGArchitecture Review

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✨ Market Recommendations AI Model Registry

← Back to Llama 4 Scout
📋 Active Input Parameters
Input Tokens: 100,000
Output Tokens: 1,000
Batch API: Enabled (50% discount)
Images: 25 (Medium Resolution)
Tools: Enabled
Rank AI Model & Provider Total Cost vs Llama 4 Scout
🏆 Mistral Small 3
Mistral AI
 $0.002898 Best Value ↓ 65.1% cheaper
🥈 Gemini 3.1 Flash Lite
Google
 $0.007431 (rounded ~ $0.01) ↓ 10.5% cheaper
🥉 Gemini 2.5 Flash
Google
 $0.009093 ↑ 9.5% more
#4 Mistral Large 3
Mistral AI
 $0.014738 (rounded ~ $0.01) ↑ 77.6% more
#5 Llama 4 Maverick (400B)
Meta AI
 $0.021638 (rounded ~ $0.02) ↑ 160.7% more
#6 GPT-5.4 mini
OpenAI
 $0.022294 (rounded ~ $0.02) ↑ 168.6% more
#7 o4-mini Deep Research
OpenAI
 $0.029225 ↑ 252.1% more
#8 Claude Haiku 4.5
Anthropic
 $0.029475 ↑ 255.1% more
#9 Gemini 3.1 Flash
Google
 $0.029725 ↑ 258.1% more
#10 o4-mini
OpenAI
 $0.032148 (rounded ~ $0.03) ↑ 287.3% more
#11 Grok 4.3
xAI
 $0.035906 (rounded ~ $0.04) ↑ 332.6% more
#12 Gemini 3.5 Flash
Google
 $0.044588 (rounded ~ $0.04) ↑ 437.2% more
#13 GPT-5.3 Codex Spark
OpenAI
 $0.052894 (rounded ~ $0.05) ↑ 537.3% more
#14 GPT-5.3 Instant
OpenAI
 $0.052894 (rounded ~ $0.05) ↑ 537.3% more
#15 Gemini 2.5 Pro
Google
 $0.075563 (rounded ~ $0.08) ↑ 810.4% more
#16 Claude Sonnet 4.6
Anthropic
 $0.088425 (rounded ~ $0.09) ↑ 965.4% more
#17 Gemini 3.1 Pro
Google
 $0.118900 (rounded ~ $0.12) ↑ 1332.5% more
#18 Claude Opus 4.7
Anthropic
 $0.147375 (rounded ~ $0.15) ↑ 1675.6% more
#19 Claude Opus 4.8
Anthropic
 $0.147375 (rounded ~ $0.15) ↑ 1675.6% more
#20 Claude Opus 4.6
Anthropic
 $0.147375 (rounded ~ $0.15) ↑ 1675.6% more
#21 GPT-5.4
OpenAI
 $0.148625 (rounded ~ $0.15) ↑ 1690.7% more
#22 GPT-5.4 Thinking
OpenAI
 $0.148625 (rounded ~ $0.15) ↑ 1690.7% more
#23 GPT-5.5 Instant
OpenAI
 $0.148625 (rounded ~ $0.15) ↑ 1690.7% more
#24 o3 Deep Research
OpenAI
 $0.292250 (rounded ~ $0.29) ↑ 3421.1% more
#25 GPT-5.5
OpenAI
 $0.297250 (rounded ~ $0.30) ↑ 3481.3% more
#26 o3 Pro
OpenAI
 $0.584500 (rounded ~ $0.58) ↑ 6942.2% more
#27 GPT-5.2 Pro
OpenAI
 $0.634725 (rounded ~ $0.63) ↑ 7547.3% more
#28 GPT-5.5 Pro
OpenAI
 $0.891750 (rounded ~ $0.89) ↑ 10644% more
#29 GPT-5.5 Pro
OpenAI
 $0.891750 (rounded ~ $0.89) ↑ 10644% more
🏆

Mistral Small 3
Mistral AI

$0.002898
vs Llama 4 Scout: ↓ 65.1%
🥈

Gemini 3.1 Flash Lite
Google

$0.007431 (rounded ~ $0.01)
vs Llama 4 Scout: ↓ 10.5%
🥉

Gemini 2.5 Flash
Google

$0.009093
vs Llama 4 Scout: ↑ 9.5%
#4

Mistral Large 3
Mistral AI

$0.014738 (rounded ~ $0.01)
vs Llama 4 Scout: ↑ 77.6%
#5

Llama 4 Maverick (400B)
Meta AI

$0.021638 (rounded ~ $0.02)
vs Llama 4 Scout: ↑ 160.7%
#6

GPT-5.4 mini
OpenAI

$0.022294 (rounded ~ $0.02)
vs Llama 4 Scout: ↑ 168.6%
#7

o4-mini Deep Research
OpenAI

$0.029225
vs Llama 4 Scout: ↑ 252.1%
#8

Claude Haiku 4.5
Anthropic

$0.029475
vs Llama 4 Scout: ↑ 255.1%
#9

Gemini 3.1 Flash
Google

$0.029725
vs Llama 4 Scout: ↑ 258.1%
#10

o4-mini
OpenAI

$0.032148 (rounded ~ $0.03)
vs Llama 4 Scout: ↑ 287.3%
#11

Grok 4.3
xAI

$0.035906 (rounded ~ $0.04)
vs Llama 4 Scout: ↑ 332.6%
#12

Gemini 3.5 Flash
Google

$0.044588 (rounded ~ $0.04)
vs Llama 4 Scout: ↑ 437.2%
#13

GPT-5.3 Codex Spark
OpenAI

$0.052894 (rounded ~ $0.05)
vs Llama 4 Scout: ↑ 537.3%
#14

GPT-5.3 Instant
OpenAI

$0.052894 (rounded ~ $0.05)
vs Llama 4 Scout: ↑ 537.3%
#15

Gemini 2.5 Pro
Google

$0.075563 (rounded ~ $0.08)
vs Llama 4 Scout: ↑ 810.4%
#16

Claude Sonnet 4.6
Anthropic

$0.088425 (rounded ~ $0.09)
vs Llama 4 Scout: ↑ 965.4%
#17

Gemini 3.1 Pro
Google

$0.118900 (rounded ~ $0.12)
vs Llama 4 Scout: ↑ 1332.5%
#18

Claude Opus 4.7
Anthropic

$0.147375 (rounded ~ $0.15)
vs Llama 4 Scout: ↑ 1675.6%
#19

Claude Opus 4.8
Anthropic

$0.147375 (rounded ~ $0.15)
vs Llama 4 Scout: ↑ 1675.6%
#20

Claude Opus 4.6
Anthropic

$0.147375 (rounded ~ $0.15)
vs Llama 4 Scout: ↑ 1675.6%
#21

GPT-5.4
OpenAI

$0.148625 (rounded ~ $0.15)
vs Llama 4 Scout: ↑ 1690.7%
#22

GPT-5.4 Thinking
OpenAI

$0.148625 (rounded ~ $0.15)
vs Llama 4 Scout: ↑ 1690.7%
#23

GPT-5.5 Instant
OpenAI

$0.148625 (rounded ~ $0.15)
vs Llama 4 Scout: ↑ 1690.7%
#24

o3 Deep Research
OpenAI

$0.292250 (rounded ~ $0.29)
vs Llama 4 Scout: ↑ 3421.1%
#25

GPT-5.5
OpenAI

$0.297250 (rounded ~ $0.30)
vs Llama 4 Scout: ↑ 3481.3%
#26

o3 Pro
OpenAI

$0.584500 (rounded ~ $0.58)
vs Llama 4 Scout: ↑ 6942.2%
#27

GPT-5.2 Pro
OpenAI

$0.634725 (rounded ~ $0.63)
vs Llama 4 Scout: ↑ 7547.3%
#28

GPT-5.5 Pro
OpenAI

$0.891750 (rounded ~ $0.89)
vs Llama 4 Scout: ↑ 10644%
#29

GPT-5.5 Pro
OpenAI

$0.891750 (rounded ~ $0.89)
vs Llama 4 Scout: ↑ 10644%
✨ 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.

Vision-First Knowledge Retrieval

Scout is optimized for searching through visual databases. Calculate the cost of building a RAG system that understands diagrams, charts, and blueprints.

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 are image tokens calculated?
Images are tokenized based on resolution: Low: 85 tokens, Medium: 170 tokens, High: 255 tokens, Full: 765 tokens per image. Some models (like Llama 4 Maverick) use tile-based encoding with 1,610 tokens/image (standard) or 8,050 tokens/image (high-res).
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.