LLM Comparison & Rankings

Compare up to 4 LLMs side by side on price, context window and value ratio, or browse rankings by input cost, output cost, context size and value.

Runs locally — nothing is uploaded

How to Use

What is LLM Comparison? LLM Comparison lets you pick up to 4 models and see them side by side: input and output price per 1M tokens, context window and the output-to-input value ratio. The Ranking tab sorts the whole catalog by the metric you care about. All data comes from the OpenRouter model API.

How to use it 1. Compare tab: pick 2 to 4 models from the dropdowns (grouped by provider). 2. The comparison table updates instantly — prices, context, value ratio and tokenizer accuracy badge. 3. Ranking tab: switch between input price, output price, context window and value ratio; a Top 10 card shows the leaders and the full table ranks every model.

Value ratio The value ratio is output price divided by input price. A low ratio means output tokens are cheap relative to input — good for generation-heavy workloads. Free models (input price 0) have no ratio and are shown as Free.

Tips - Featured models link to their dedicated token counter page. - Models tagged Estimated have no official JavaScript tokenizer, so token counts are approximations.

Privacy All comparisons run locally in your browser.

Pick 2 to 4 models (duplicates and empty slots are ignored).

Metric	OpenAI: GPT-4o	Anthropic: Claude Sonnet 5
Provider	OpenAI	Anthropic
Input / 1M	$2.50	$2.00
Output / 1M	$10.00	$10.00
Context	128K	1M
Out/In ratio	4.00×	5.00×
Tokenizer	o200k	Est.
Token counter	Open	Open

Value ratio = output price ÷ input price; a lower ratio means output tokens are cheap relative to input. Free models have no ratio.

LLM Comparison & Rankings — Compare Models Side by Side