InceptionModel

Mercury 2.5

How Mercury 2.5 performed across every Indonesian and regional-language benchmark we publish.Read more
Last runon Arti kata Jawa langkaversion not pinnedKeterangan

Benchmarks tested

3

of 6 benchmarks we publish

The rest have not been run, so this page can say nothing about how it does on 3 other benchmarks.

Runs completed

4

complete runs on record

One run means the model answered every item in a set, start to finish. A set run more than once contributes more than one.

Total cost

$0.0065

for every run above

The real amount billed by the provider, summed, not an estimate from per-token pricing. Not yet divided by correct answers.

Total tokens

55,828

input and output combined

Counted only from runs that recorded tokens. Runs on the older path did not store them, and the figure is not guessed.

How many answers were correct

Each bar is one benchmark: how many items it answered correctly out of every item in that set. We wrote the questions and answer keys ourselves and had them checked by two native speakers, and every model answers exactly the same items.

4 benchmarks
Pemahaman slang Indonesia39/42 92.9%
Tingkat tutur bahasa Jawamultiple choice22/27 81.5%
Tingkat tutur bahasa Jawaopen answer4/6 66.7%
Arti kata Jawa langka13/43 30.2%
Share of items answered correctly across 4 benchmarks

How far the cost pays off

Sorted by the cheapest correct answer first. The left column shows how many items were answered correctly, so a top row with a long left bar means both cheap and accurate.

4 with cost on record
Correct answersCost per correct answer
Pemahaman slang Indonesia92.9%$0.000049
Tingkat tutur bahasa Jawamultiple choice81.5%$0.000054
Tingkat tutur bahasa Jawaopen answer66.7%$0.000058
Arti kata Jawa langka30.2%$0.000137
Correct answers against cost per correct answer

Tokens used

Input and output are kept apart because they are priced differently, often tenfold. A long output bar means the model talks a lot, and that is where nearly all the cost difference comes from.

16,941 in, 38,887 out
inputoutput
Pemahaman slang Indonesia10,161 · 15,354
Tingkat tutur bahasa Jawamultiple choice4,971 · 9,793
Tingkat tutur bahasa Jawaopen answer964 · 2,080
Arti kata Jawa langka845 · 11,660
Tokens for one full run, per benchmark

Wait time per call

Median wait for a single call on each benchmark. Median rather than mean, so one stalled call does not move the number.

4 with wait time on record
Tingkat tutur bahasa Jawamultiple choice0.98 s
Tingkat tutur bahasa Jawaopen answer0.99 s
Pemahaman slang Indonesia1.04 s
Arti kata Jawa langka1.06 s
Median wait for one call, per benchmark

Test coverage

This model has been tested on 3 of the 6 benchmarks we publish. The rest have not been run, so this page cannot say anything about how it does there.

3 of 6 benchmarks we publish
Log4 calls to this model, spread across 1 days.

This model is called through a provider id that may not pin a version, so the dates below state which weights were actually tested. Rows marked with a hyphen have a date we inferred from file history rather than recorded at call time, so we do not show a clock time for them.

4 runs
  1. 21:22Arti kata Jawa langkaword meaning13/43
  2. 21:21Tingkat tutur bahasa Jawaopen answer4/6
  3. 21:21Tingkat tutur bahasa Jawamultiple choice22/27
  4. 21:19Pemahaman slang Indonesiamultiple choice39/42

← See all models