如何计算API Pricing Tier

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The API Pricing Tier Calculator compares costs across major AI/LLM API providers (OpenAI, Anthropic Claude, Google Gemini, AWS Bedrock) for your specific monthly request volume and average token consumption. As LLM APIs become primary infrastructure costs for many applications, choosing the right model tier can save 90%+ on the same workload — GPT-4o costs 16× more than GPT-4o mini for input tokens, while delivering similar quality for many tasks.

公式

R

Requests (count/month) — Monthly API request volume

I

Input Tokens (avg tokens/request) — Average prompt size including system prompt and context

O

Output Tokens (avg tokens/request) — Average completion size

分步指南

1. 1Select provider: OpenAI, Anthropic Claude, Google Gemini, or AWS Bedrock
2. 2Select model tier within provider (e.g., GPT-4o vs GPT-4o mini, Claude Opus vs Sonnet vs Haiku)
3. 3Enter expected monthly request volume
4. 4Enter average input tokens per request (typical: 500-2000)
5. 5Enter average output tokens per request (typical: 100-500)
6. 6Calculator computes monthly and annual cost using current per-million-token pricing
7. 7Comparison chart shows cost across all tiers within the selected provider
8. 8Highlights cheapest alternative if you chose a more expensive tier

例题解析

常见错误注意事项

• ✕Defaulting to most expensive model for everything — most tasks work fine with smaller/cheaper models
• ✕Forgetting that output tokens cost 3-5× more than input tokens — limit max_tokens
• ✕Not implementing prompt caching for repeated prompts — Anthropic and OpenAI both support this for ~50-90% savings on repeated context
• ✕Ignoring rate limits when selecting tier — some cheap tiers have aggressive RPM/TPM limits that cause production issues

常见问题