Llama 4 Scout Meta 10000000
$0.004150 (rounded ~ 0.00)
Total Cost
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)
$0.004150 (rounded ~ 0.00)
Input: $0.004000 (rounded ~ 0.00)
Output: $0.000150
Output: $0.000150
Optimized Cost
$0.004150 (rounded ~ 0.00)
Input: $0.004000 (rounded ~ 0.00)
Output: $0.000150
Unit: $0.000000
Fees: $0.000000
Output: $0.000150
Unit: $0.000000
Fees: $0.000000
Detailed Cost Analysis (from Plugin)
For 50,000 input tokens and 500 output tokens:
- Input Cost: $0.004000 (rounded ~ 0.00)
- Output Cost: $0.000150
- Total Cost: $0.004150 (rounded ~ 0.00)
- 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: 1 minute, 24.00 seconds
- Latency: 120 milliseconds to first token
- Base Throughput: 600 tokens/second
Best Use Cases
DevDocs SearchAPI Reference Search
✨ Market Recommendations AI Model Registry
← Back to Llama 4 Scout
📋 Active Input Parameters
Input Tokens:
50,000
Output Tokens:
500
Batch API:
Enabled (50% discount)
Tools:
Enabled
| Rank | AI Model & Provider | Total Cost | vs Llama 4 Scout |
|---|---|---|---|
| 🏆 |
Mistral Small 3
Mistral AI
|
$0.001288 (rounded ~ 0.00) Best Value | ↓ 69% cheaper |
| 🥈 |
Gemini 3.1 Flash Lite
Google
|
$0.002600 (rounded ~ 0.00) | ↓ 37.3% cheaper |
| 🥉 |
o4-mini Deep Research
OpenAI
|
$0.013000 (rounded ~ 0.01) | ↑ 213.3% more |
| #4 |
Llama 4 Maverick (400B)
Meta AI
|
$0.013925 (rounded ~ 0.01) | ↑ 235.5% more |
| #5 |
o4-mini
OpenAI
|
$0.014300 (rounded ~ 0.01) | ↑ 244.6% more |
| #6 |
GPT-5.3 Codex Spark
OpenAI
|
$0.023625 (rounded ~ 0.02) | ↑ 469.3% more |
| #7 |
Mistral Large 3
Mistral AI
|
$0.025750 (rounded ~ 0.03) | ↑ 520.5% more |
| #8 |
Grok 5
xAI
|
$0.039375 | ↑ 848.8% more |
| #9 |
Gemini 3.1 Pro
Google
|
$0.053000 (rounded ~ 0.05) | ↑ 1177.1% more |
| #10 |
GPT-5.4 Thinking
OpenAI
|
$0.066250 (rounded ~ 0.07) | ↑ 1496.4% more |
| #11 |
Claude Sonnet 4.6
Anthropic
|
$0.078750 (rounded ~ 0.08) | ↑ 1797.6% more |
| #12 |
o3 Deep Research
OpenAI
|
$0.130000 | ↑ 3032.5% more |
| #13 |
Claude Opus 4.6
Anthropic
|
$0.131250 (rounded ~ 0.13) | ↑ 3062.7% more |
| #14 |
o3 Pro
OpenAI
|
$0.260000 | ↑ 6165.1% more |
| #15 |
GPT-5.2 Pro
OpenAI
|
$0.283500 (rounded ~ 0.28) | ↑ 6731.3% more |
| #16 |
GPT-5.2 Pro
OpenAI
|
$0.283500 (rounded ~ 0.28) | ↑ 6731.3% more |
🏆
Mistral Small 3
Mistral Small 3 Mistral AI
$0.001288 (rounded ~ 0.00)
vs Llama 4 Scout:
↓ 69%
🥈
Gemini 3.1 Flash Lite
Gemini 3.1 Flash Lite Google
$0.002600 (rounded ~ 0.00)
vs Llama 4 Scout:
↓ 37.3%
🥉
o4-mini Deep Research
o4-mini Deep Research OpenAI
$0.013000 (rounded ~ 0.01)
vs Llama 4 Scout:
↑ 213.3%
#4
Llama 4 Maverick (400B)
Llama 4 Maverick (400B) Meta AI
$0.013925 (rounded ~ 0.01)
vs Llama 4 Scout:
↑ 235.5%
#5
o4-mini
o4-mini OpenAI
$0.014300 (rounded ~ 0.01)
vs Llama 4 Scout:
↑ 244.6%
#6
GPT-5.3 Codex Spark
GPT-5.3 Codex Spark OpenAI
$0.023625 (rounded ~ 0.02)
vs Llama 4 Scout:
↑ 469.3%
#7
Mistral Large 3
Mistral Large 3 Mistral AI
$0.025750 (rounded ~ 0.03)
vs Llama 4 Scout:
↑ 520.5%
#8
Grok 5
Grok 5 xAI
$0.039375
vs Llama 4 Scout:
↑ 848.8%
#9
Gemini 3.1 Pro
Gemini 3.1 Pro Google
$0.053000 (rounded ~ 0.05)
vs Llama 4 Scout:
↑ 1177.1%
#10
GPT-5.4 Thinking
GPT-5.4 Thinking OpenAI
$0.066250 (rounded ~ 0.07)
vs Llama 4 Scout:
↑ 1496.4%
#11
Claude Sonnet 4.6
Claude Sonnet 4.6 Anthropic
$0.078750 (rounded ~ 0.08)
vs Llama 4 Scout:
↑ 1797.6%
#12
o3 Deep Research
o3 Deep Research OpenAI
$0.130000
vs Llama 4 Scout:
↑ 3032.5%
#13
Claude Opus 4.6
Claude Opus 4.6 Anthropic
$0.131250 (rounded ~ 0.13)
vs Llama 4 Scout:
↑ 3062.7%
#14
o3 Pro
o3 Pro OpenAI
$0.260000
vs Llama 4 Scout:
↑ 6165.1%
#15
GPT-5.2 Pro
GPT-5.2 Pro OpenAI
$0.283500 (rounded ~ 0.28)
vs Llama 4 Scout:
↑ 6731.3%
#16
GPT-5.2 Pro
GPT-5.2 Pro OpenAI
$0.283500 (rounded ~ 0.28)
vs Llama 4 Scout:
↑ 6731.3%
✨ 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.
Llama 4 Scout for Technical Documentation Search Pricing
Optimized calculator for specialized AI tasks.
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.