Llama 4 Scout vs Gemini 3.1 Pro: Context Kings

Llama 4 Scout vs Gemini 3.1 Pro
Complete Comparison: 5,000,000 input tokens × 1,000,000 output tokens
Comparison Mode

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

Comparison Criteria Llama 4 Scout
Meta AI
Gemini 3.1 Pro
Google
Calculation Results (Current Inputs)
Input Tokens 5,000,000 5,000,000
Output Tokens 1,000,000 1,000,000
Cost Breakdown
Input Cost $0.400000Best $20.000000Worst
Output Cost $0.300000Best $18.000000Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.700000 Best Value $38.000000 Most Expensive
Processing Time 2 hours, 58 minutes, 20.00 seconds Fastest 4 hours, 27 minutes, 30.00 seconds Slowest
Tokens per Second 600Fastest 400Slowest
Time to First Token 120ms Best 220ms Worst
Cost per 1K tokens $0.000117Best $0.006333 (rounded ~ 0.01)Worst
Tokens per Dollar 8,571,429Best Value 157,895Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.080000Best $4.000000Worst
Output Cost / 1M (Base) $0.300000Best $18.000000Worst
Input Cost / 1M (Optimized) $0.080000Best
Optimizations: No optimizations applied
$4.000000Worst
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $0.300000Best
Optimizations: No optimizations applied
$18.000000Worst
Optimizations: No optimizations applied
Capabilities & Advanced Features
Images Support ✗ Not Supported ✓ Supported
Video Support ✗ Not Supported ✓ Supported
Audio Support ✗ Not Supported ✓ Supported
Caching Support ✗ Not Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✗ Not Supported ✓ Supported
Scroll horizontally to see all data

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All other parameters will be preserved from the current comparison.

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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

$0.700000 Total Cost
$0.400000 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
6,000,000Total Tokens
$0.000117Cost per 1K
8,571,429Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

178m 20s 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
📊 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 AI 10000000

$0.700000
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) $0.700000 Input: $0.400000
Output: $0.300000
Optimized Cost $0.700000 Input: $0.400000
Output: $0.300000
Unit: $0.000000
Fees: $0.000000

Detailed Cost Analysis (from Plugin)

For 5,000,000 input tokens and 1,000,000 output tokens:

  • Input Cost: $0.400000
  • Output Cost: $0.300000
  • Total Cost: $0.700000
  • Cost per 1K tokens: $0.000117
  • Tokens per dollar: 8,571,429 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 hours, 58 minutes, 20.00 seconds
  • Latency: 120 milliseconds to first token
  • Base Throughput: 600 tokens/second
  • Effective Throughput: 561 tokens/second (temperature-adjusted)

Best Use Cases

Whole Repo AnalysisVideo Data Lakes

Gemini 3.1 Pro Google 2000000

$38.000000
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 2,000,000 tokens. Budgeting mode active.
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✓ Available
🎥
Video Analysis
✓ Available
🔧
Tool Usage
✓ Available
📄
OCR Support
✗ Not Available
📊
Batch API
✓ Available
⚡
Caching
✓ Available
90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $38.000000 Input: $20.000000
Output: $18.000000
Optimized Cost $38.000000 Input: $20.000000
Output: $18.000000
Unit: $0.000000
Fees: $0.000000

Detailed Cost Analysis (from Plugin)

For 5,000,000 input tokens and 1,000,000 output tokens:

  • Input Cost: $20.000000
  • Output Cost: $18.000000
  • Total Cost: $38.000000
  • Cost per 1K tokens: $0.006333 (rounded ~ 0.01)
  • Tokens per dollar: 157,895 tokens
  • Context Window: 2000000 tokens

Speed & Performance Analysis

With a processing speed of 400 tokens per second and 220ms time to first token:

  • Processing Time: 4 hours, 27 minutes, 30.00 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 374 tokens/second (temperature-adjusted)

Best Use Cases

Whole Repo AnalysisVideo Data Lakes

✨ Market Recommendations AI Model Registry

← Back to Llama 4 Scout
📋 Active Input Parameters
Input Tokens: 5,000,000
Output Tokens: 1,000,000
🔍
No Alternatives Found
No other models in the registry support all your current input parameters. Try adjusting some parameters to see more options.
Remove Images Remove Video Remove Audio Remove OCR Remove Tools
✨ 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.

The 10M Token Frontier

Llama 4 Scout changes the game with a 10M token context window, allowing for the analysis of entire code repositories in a single prompt. Gemini 3.1 Pro offers a 2M window but adds ‘Multimodal Native’ support for video and audio. Use Scout for massive text-based RAG-less retrieval; use Gemini 3.1 Pro if you need to analyze 2 hours of high-definition video.

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.