Token 成本試算器 (Price Calculator)
依據每次請求之 Input / Output Token 數量與請求次數，精確試算並排名各供應商總成本。
重要說明：下方輸入的 Input / Output Tokens 代表「每次請求 (Per Request)」的 Token 數量，總成本會自動乘以 Request Count（請求次數）。
Total Cost = ((Input Tokens × Input USD/1M + Output Tokens × Output USD/1M) / 1,000,000) × Request Count
常用試算情境預設:
最低總成本供應商
$0.4000
DeepInfra (deepinfra/meta-llama/Llama-4-Scout-17B-16E-Instruct)
Highest Cost Provider
$1.12
Cloudflare Workers AI (cloudflare/@cf/meta/llama-4-scout-17b-16e-instruct)
最高與最低價差
$0.7200
Total workload difference
最高可節省比例
64.3%
Choosing lowest vs highest
Estimated Workload Cost by Provider (USD)
各供應商預估成本排名（僅列出具備完整 Input 與 Output 報價之方案）
若某供應商缺少 Input 或 Output 任一必要價格欄位，系統不會將其納入總成本排名，以避免不完整的成本比較。
| Rank | Provider · LiteLLM ID | Input / 1M | Output / 1M | Input Cost | Output Cost | Total Cost | vs Cheapest |
|---|---|---|---|---|---|---|---|
| #1 | DeepInfra· Standard · Global deepinfra/meta-llama/Llama-4-Scout-17B-16E-Instruct | $0.10 | $0.30 | $0.1000 | $0.3000 | $0.4000 | Cheapest |
| #2 | Novita AI· Standard · Global novita/meta-llama/llama-4-scout-17b-16e-instruct | $0.18 | $0.59 | $0.1800 | $0.5900 | $0.7700 | +$0.3700 (save 48.1%) |
| #3 | Together AI· Standard · Global together_ai/meta-llama/Llama-4-Scout-17B-16E-Instruct | $0.18 | $0.59 | $0.1800 | $0.5900 | $0.7700 | +$0.3700 (save 48.1%) |
| #4 | Google Vertex AI (Llama)· Standard · Global vertex_ai/meta/llama-4-scout-17b-16e-instruct-maas | $0.25 | $0.70 | $0.2500 | $0.7000 | $0.9500 | +$0.5500 (save 57.9%) |
| #5 | Azure AI Foundry· Standard · Global azure_ai/Llama-4-Scout-17B-16E-Instruct | $0.20 | $0.78 | $0.2000 | $0.7800 | $0.9800 | +$0.5800 (save 59.2%) |
| #6 | Cloudflare Workers AI· Standard · Global cloudflare/@cf/meta/llama-4-scout-17b-16e-instruct | $0.27 | $0.85 | $0.2700 | $0.8500 | $1.12 | +$0.7200 (save 64.3%) |