LLM-Pricing
Was kosten KI-Modelle? Token-Preise, Input vs. Output, Tool Use, Batch-Rabatte, Prompt Caching.
- $/MTok (Cost per Million Tokens) API-Nutzung LLM-Pricing
Standard pricing unit for AI APIs — cost in US dollars per one million processed tokens. Listed separately for input, output and sometimes cache.
- Batch API API-Nutzung LLM-Pricing
Asynchronous API mode that collects many requests and processes them at a significant discount — results are typically delivered within 24 hours.
- Input Token API-Nutzung LLM-Pricing
Tokens you send to an AI model in an API call — your prompt, the context, attached documents. Billed separately from output tokens and usually much cheaper.
- Output Token API-Nutzung LLM-Pricing
Tokens an AI model produces as its response. Billed separately and usually three to five times more expensive than input tokens because the model has to actively generate them.
- Prompt Caching API-Nutzung LLM-Pricing
Prompt caching is an API feature in which a provider stores recurring prompt prefixes — making subsequent requests cheaper and faster because the cached portion is not reprocessed.
- Rate Limit (AI) API-Nutzung LLM-Pricing
Provider-enforced cap on requests or tokens per time window — it protects infrastructure and ensures fair usage across customers.
- Tier Pricing API-Nutzung LLM-Pricing
Tiered model line-up from a provider — small fast variants (Mini/Flash/Haiku) at a fraction of the price of the big frontier models. Also: volume tiers with quantity discounts.