TokenPad
Evaluation

LLM Response Comparator

See what one answer says that the other does not — numbers first.

Two responses separated by a line containing ===

228 characters3 lines0 tokensor drop a file

Response ComparatorExact
0Token change
Token change0no change
Input tokens0what you pasted
Output tokens0what you would send
Token cost of this result
Output tokens0
As input$0.00
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Result
 

The numeric check is the one that matters

Two answers that read similarly and quote different figures is the failure worth catching. Prose differences are usually stylistic; a differing number means one of them is wrong.

Numbers present in one answer and absent from the other are listed separately for that reason, ahead of everything else in the report.

What overlap does and does not tell you

This measures shared vocabulary, not shared meaning. Two correct answers phrased differently score low; a fluent wrong answer reusing the same words scores high.

Use it to find what to read, not to decide which answer is better. For that, an LLM judge with an explicit rubric is the appropriate instrument.

Frequently asked questions

Is high overlap good?
It means the two are interchangeable. If one is materially cheaper to produce, take it — the difference is unlikely to reach a user.
Why not use embeddings for semantic similarity?
That would need a model call, and this site makes none. Lexical comparison catches the differences you most need to see, particularly numeric ones, without any network round trip.

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