Run: 2026-02-20-01KHY9RMA41MV7G14GQM1SRZ4B

Run Details

Duration:
3.4s
Cost:
$0.000025
Provider:
DeepInfra

Evaluation summary

Score Evaluator
Details Link
99.92% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
49.9595% 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 rain hammered against the corrugated iron roof of the abandoned laundromat, mirroring the frantic drumming in Molly’s chest. Across the table, Bill meticulously sharpened a ridiculously ornate letter opener. It looked less like a tool for opening envelopes and more like a miniature, silver dagger. “Right, so, the clown’s distraction,” she said, tapping a crumpled blueprint of the community hall. “We go in through the ventilation shaft. Tight squeeze, but I’ve worked on my flexibility.” Bill didn’t look up. "Flexibility is overrated. Precision is key. We need to be in and out before little Timmy starts demanding a second cupcake. This isn’t some grand larceny, Molly, it’s a targeted acquisition of brightly wrapped, sugar-laden delights.” He finally glanced at her. “You’re seriously considering wearing that sequined jumpsuit?” “It’s festive,” she countered, adjusting the shimmering fabric with a shrug. “And it confuses the security cameras. They think I’m part of the entertainment.” “They’ll think we’re insane,” Bill muttered, resuming his sharpening. “Just… try not to trip over any bouncy castles.” A long silence hung between them, punctuated only by the rain and the scrape of steel on steel. “Do you think they’ll have those unicorn ones?”
created_at"2026-02-20T19:52:25.167Z" 2/20/2026, 7:52:25 PM
model"google/gemma-3-4b-it"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency158
moderation_latency(null)
generation_time3209
tokens_prompt93
tokens_completion344
native_tokens_prompt75
native_tokens_completion278
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"
usage0.00002524
router(null)
provider_responses
0
endpoint_id"d3de3bd4-81bc-48fb-924f-2a87b2a36e75"
id"chatcmpl-R8GHO2u88juLP8Bh1HfSOtaO"
is_byokfalse
latency51
model_permaslug"google/gemma-3-4b-it"
provider_name"DeepInfra"
status200
api_type"completions"
id"gen-1771617145-m0aW1nhsxaY6HQagw7rj"
upstream_id"chatcmpl-R8GHO2u88juLP8Bh1HfSOtaO"
total_cost0.00002524
cache_discount(null)
upstream_inference_cost0
provider_name"DeepInfra"

Evaluation details

Result Evaluator Details Meta Data
99.92% Matches word count n/a
neededCleanfalse
words197
0.00% Dialogue to Total Word Ratio
Ratio: 50.76%, Deviation: 40.76%
neededCleanfalse
wordsTotal197
wordsDialogue100
49.9595%