Run: 2026-02-20-01KHY7K68BTXNNRHT6EXYN0EHA

Run Details

Duration:
6.7s
Cost:
$0.000036
Provider:
DeepInfra

Evaluation summary

Score Evaluator
Details Link
20.19% Matches word count (details)
82.08% Dialogue to Total Word Ratio (details)
51.1326% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 10% words of dialogue between two thieves named Molly and Bill who are planning to break into a children's party to steal all the presents. Only include the prose of the scene without any markdown or commentary.

Model response

AI
The inflatable bouncy castle loomed, a garish pink and blue monstrosity dominating the suburban lawn. Molly surveyed the scene with a practiced eye, noting the strategically placed pinwheels and a swarm of sugar-fueled five-year-olds. Bill, meanwhile, was meticulously dismantling a child’s superhero cape with a pair of miniature scissors. “Think they’ll notice a missing Spiderman suit?” he mumbled, more to the cape than to Molly. “Focus, Bill,” she sighed, smoothing down the ridiculous striped leggings she'd insisted they wear. “Operation Sugar Rush requires precision, not costume commentary.” The balloon artist was currently twisting a poodle, blissfully unaware of the impending larceny. A small boy, dribbling juice, ran past, narrowly avoiding tripping over Bill’s discarded cape. Molly’s gaze shifted to the table overflowing with presents. A veritable mountain of brightly wrapped joy, ripe for the taking. The security, she noted, consisted of a grandmother attempting to mediate a dispute over a rogue bouncy ball. Simple. "Right," Bill muttered, holding up a single red thread. "Cape debris accounted for." Molly winced. "Just… just start scoping out the power wheels."
created_at"2026-02-20T19:14:29.784Z" 2/20/2026, 7:14:29 PM
model"google/gemma-3-12b-it"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency378
moderation_latency(null)
generation_time6574
tokens_prompt93
tokens_completion315
native_tokens_prompt75
native_tokens_completion253
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.00003589
router(null)
provider_responses
0
endpoint_id"eb06dc92-5a16-47ec-a776-6ef956457c47"
id"chatcmpl-RzR2Ws0uTfQ4xDzYHU0Zs10S"
is_byokfalse
latency50
model_permaslug"google/gemma-3-12b-it"
provider_name"DeepInfra"
status200
api_type"completions"
id"gen-1771614869-0Yt4octa4NaWQ5UJh6kU"
upstream_id"chatcmpl-RzR2Ws0uTfQ4xDzYHU0Zs10S"
total_cost0.00003589
cache_discount(null)
upstream_inference_cost0
provider_name"DeepInfra"

Evaluation details

Result Evaluator Details Meta Data
20.19% Matches word count n/a
neededCleanfalse
words180
82.08% Dialogue to Total Word Ratio
Ratio: 16.67%, Deviation: 6.67%
neededCleanfalse
wordsTotal180
wordsDialogue30
51.1326%