Om denne lommeregner
The AI Model Cost Calculator fetches live pricing data from OpenRouter, an API aggregator that provides access to 100+ large language models (LLMs) from providers including OpenAI, Anthropic, Google DeepMind, Meta, Mistral, Cohere and others. Select any model, enter your expected token usage, and instantly see the cost breakdown.
Sådan fungerer AI API-prissætning
AI language model APIs charge separately for two types of tokens:
- Input tokens — the text you send to the model (your prompt, context, chat history, documents). These are cheaper because the model processes them in one pass.
- Output tokens — the text the model generates in response. These are more expensive because generation is computed token by token.
Prices are quoted per 1 million (1M) tokens. To estimate your cost: multiply your token count by the per-token price. This calculator does that automatically for any model on OpenRouter.
What Is a Token?
A token is roughly 4 characters or ¾ of a word in English. As a rough guide:
- En kort sætning (~10 ord) ≈ 13–15 tokens
- Et afsnit (~100 ord) ≈ 130–150 tokens
- A full page of text (~500 words) ≈ 650–750 tokens
- Et dokument på 10 sider (~5.000 ord) ≈ 6.500–7.500 tokens
Ofte stillede spørgsmål
How is AI model cost calculated? Samlet omkostning = (Input-tokens × inputpris per token) + (Output-tokens × outputpris per token). Udbydere angiver priser per 1 million tokens. For eksempel, hvis input koster $2,50/1M og du sender 1.000 tokens, er inputomkostningen $0,0025.
What is a token in AI models? En token er en tekst-enhed — ca. 4 tegn eller ¾ af et ord på engelsk. Et typisk 100-ords afsnit er ca. 130–150 tokens. Ikke-engelske sprog bruger ofte flere tokens per ord.
Why are input and output tokens priced differently? Input-tokens er billigere, fordi modellen læser dem i et enkelt fremadgående gennemløb. Output-tokens kræver sekventiel autoregressiv generering — hvert token beregnes ét ad gangen — hvilket er markant mere beregningsintensivt.
Where does the pricing data come from? Priser hentes live fra OpenRouter API, som aggregerer 100+ modeller. Data caches i din browser i 24 timer. OpenRouters priser kan afvige lidt fra direkte udbyderpriser.
How many tokens does a typical ChatGPT conversation use? A short query and response might use 200–400 tokens total. A detailed technical exchange with a long reply can use 2,000–5,000 tokens or more depending on context window usage.
Relaterede lommeregnere
- AI vs Human ROI Calculator — Sammenlign AI-værktøjsomkostninger med menneskelig arbejdskraft. Månedlige besparelser, årligt ROI og break-even med live modelpriser.
- Prompt Cost Calculator — Paste your prompt, choose a model, and instantly see how many tokens it uses and what it costs to send.
- LLM Cost Comparator — Side-om-side per-million-token omkostning for GPT-5, Claude Opus 4.7, Gemini 3.1 Pro, Llama, DeepSeek.