AI Model Comparison
Compare popular AI models side by side: context window, max output, and pricing per million tokens. Filter by name and sort any column. Runs entirely in your browser.
| Model | Provider | Context (tokens) | Max output (tokens) | Input $/1M | Output $/1M | Notes |
|---|
About the AI Model Comparison
The AI Model Comparison tool puts popular language models from OpenAI, Anthropic, Google, Meta, and Mistral in one sortable table. It shows each model's context window, maximum output, and input/output pricing per million tokens, so you can weigh capability against cost before you commit to one. The data is a snapshot meant for quick comparison, and the whole tool runs in your browser with no data sent to a server.
How it works
- Scan the table to compare context window, max output, and per-million-token pricing across models.
- Type a model or provider name in the filter box to narrow the list.
- Click any column header to sort by that value; click it again to reverse the order.
- Use Reset to clear the filter and sorting, then verify current limits and pricing with each provider.
Features
- Side-by-side table of well-known models from OpenAI, Anthropic, Google, Meta, and Mistral.
- Text filter that matches on model name or provider.
- Click-to-sort on every column, including numeric sorting for context, output, and price.
- Pricing shown as input and output cost per million tokens for direct comparison.
- Runs entirely client-side, with a clear note that the figures are an approximate snapshot.
Frequently asked questions
Are these numbers current?
Treat them as an approximate snapshot. Context limits, output limits, and pricing change often, so confirm the figures on each provider's official pricing and model pages before you rely on them.
What do input and output prices mean?
They are the cost per one million tokens. Input price applies to the tokens you send (your prompt and context); output price applies to the tokens the model generates. Output is usually more expensive than input.
Why do some models show a dash for price?
Open-weight models such as Meta's Llama do not have a single official per-token price. The cost depends on the host or hardware you run them on, so those cells are left blank.
What is a context window?
It is the maximum number of tokens a model can consider at once, covering both your input and its output. A larger context window lets the model work with longer documents or conversations in a single request.
Is my data sent anywhere?
No. The table data is built into the page and all filtering and sorting happen in your browser. Nothing you do here is uploaded or logged.