Llama 4 Scout vs GPT-5 Nano: On-Device Edge Costs

llama-4-scout vs gpt-5-nano
Complete Comparison: 2,048 input tokens × 512 output tokens
Comparison Mode (Custom field comparison)

Complete comparison of pricing, performance, and capabilities for 2 leading AI models .

Comparison Criteria llama-4-scout
Meta
gpt-5-nano
OpenAI
Input Parameters Applied
Input Tokens 2,048 2,048
Output Tokens 512 512
Calculation Results
Input Cost $0.002048 (rounded ~ 0.00) Best $0.010240 Worst
Output Cost $0.002560 (rounded ~ 0.00) Best $0.012800 (rounded ~ 0.01) Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.004608 (rounded ~ 0.00) Best Value $0.023040 (rounded ~ 0.02) Most Expensive
Processing Time 4.79 seconds Fastest 5.71 seconds Slowest
Tokens per Second 600 Fastest 500 Slowest
Time to First Token 120ms Best 200ms Worst
Cost per 1K tokens $0.002160 (rounded ~ 0.00) Best $0.009000 (rounded ~ 0.01) Worst
Tokens per Dollar 462,963 Best Value 111,111 Worst Value
Cost per 1 Million Tokens
Input Cost / 1M (Base) $1.000000 Best $5.000000 Worst
Output Cost / 1M (Base) $5.000000 Best $25.000000 Worst
Input Cost / 1M (Optimized) $1.000000 Best
Optimizations: No optimizations applied
$5.000000 Worst
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $5.000000 Best
Optimizations: No optimizations applied
$25.000000 Worst
Optimizations: No optimizations applied
Capabilities
Caching Support ✗ Not Supported ✗ Not Supported
Batch API Support ✗ Not Supported ✗ Not Supported
Fine-Tuning Mode Standard Standard
Research Mode Not Enabled Not Enabled
Thinking Enabled Not Enabled Not Enabled
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Second Model

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Select AI Model

Llama 4 Scout
Meta AIMax Context: 10,000,000 tokens
Input: $1.000000 / 1M
Output: $5.000000 / 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
$0.005530Total Cost
$0.002048Input Cost
$0.002560Output Cost
$0.000000Unit Cost
$0.000000Search Cost
$0.000000Request Fee
$0.000000Tool Fee
$0.000000Code Execution
2,560Total Tokens
$0.002160Cost per 1K
462,963Tokens per $

Click Recalculate to update after making changes

Calculate Processing Speed

▼
4.79sProcessing Time
600Tokens/Second
120msTime to First Token
556Effective 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
📊 Multiple Models Detected: This page contains data for 2 models. See the detailed comparison table above, and switch between models using tabs below.

llama-4-scout Meta 10000000

$0.004608 (rounded ~ 0.00)
Total Cost
👁️
Vision/Images
✗ Not Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✗ Not Available
📄
OCR Support
✗ Not Available
📊
Batch API
✗ Not Available
⚡
Caching
✗ Not Available

💰 Total Cost Calculation

Base Cost (No Optimizations) $0.004608 (rounded ~ 0.00) Input: $0.002048 (rounded ~ 0.00)
Output: $0.002560 (rounded ~ 0.00)
Optimized Cost $0.004608 (rounded ~ 0.00) Input: $0.002048 (rounded ~ 0.00)
Output: $0.002560 (rounded ~ 0.00)
Unit: $0.000000
Fees: $0.000000

Detailed Cost Analysis

For 2,048 input tokens and 512 output tokens:

  • Input Cost: $0.002048 (rounded ~ 0.00)
  • Output Cost: $0.002560 (rounded ~ 0.00)
  • Unit Cost: $0.000000
  • Service Fees: $0.000000
  • Total Cost: $0.004608 (rounded ~ 0.00)
  • Cost per 1K tokens: $0.002160 (rounded ~ 0.00)
  • Tokens per dollar: 462,963 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: 4.00 seconds
  • Latency: 120 milliseconds to first token
  • Base Throughput: 600 tokens/second
  • Effective Throughput: 556 tokens/second

Best Use Cases

Mobile AppsIoTPrivacy-First AI

gpt-5-nano OpenAI

$0.023040 (rounded ~ 0.02)
Total Cost
👁️
Vision/Images
✗ Not Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✗ Not Available
📄
OCR Support
✗ Not Available
📊
Batch API
✗ Not Available
⚡
Caching
✗ Not Available

💰 Total Cost Calculation

Base Cost (No Optimizations) $0.023040 (rounded ~ 0.02) Input: $0.010240
Output: $0.012800 (rounded ~ 0.01)
Optimized Cost $0.023040 (rounded ~ 0.02) Input: $0.010240
Output: $0.012800 (rounded ~ 0.01)
Unit: $0.000000
Fees: $0.000000

Detailed Cost Analysis

For 2,048 input tokens and 512 output tokens:

  • Input Cost: $0.010240
  • Output Cost: $0.012800 (rounded ~ 0.01)
  • Unit Cost: $0.000000
  • Service Fees: $0.000000
  • Total Cost: $0.023040 (rounded ~ 0.02)
  • Cost per 1K tokens: $0.009000 (rounded ~ 0.01)
  • Tokens per dollar: 111,111 tokens
  • Context Window: 400000 tokens

Speed & Performance Analysis

With a processing speed of 500 tokens per second and 200ms time to first token:

  • Processing Time: 5.00 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 500 tokens/second
  • Effective Throughput: 463 tokens/second

Best Use Cases

Mobile AppsIoTPrivacy-First AI

The Edge Computing Showdown

Analyzing the economics of running small models on localized hardware vs. cloud APIs. Llama 4 Scout (7B) offers incredible performance for its size, but GPT-5 Nano provides the ease of a hosted API. Which one wins for mobile app integration?

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.