Run: 2026-03-25-01KMJ910YNNRD7928TPHCN9KMC

Run Details

Duration:
18.0s
Cost:
$0.000187
Provider:
SiliconFlow

Evaluation summary

Score Evaluator
Details Link
86.38% Matches word count (details)
97.59% Dialogue to Total Word Ratio (details)
91.9835% 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 attic smelled of mothballs and forgotten dreams. Moonlight seeped through a grimy circular window, illuminating blueprints of a suburban ranch-style home fanned across an upturned cardboard box. Molly hunched over them, a red laser pointer trembling between her teeth as she adjusted her cat burglar mask—complete with glued-on felt whiskers. Bill, meanwhile, wrestled a rubber chicken into a tactical vest, muttering about distraction protocols and squeak calibration. A Pez dispenser sat atop a stack of burglary manuals titled *Stealing with Sentiment* and *Lockpicking for Lullabies*. Molly circled a room labeled “Ball Pit Zone” with a purple marker, nodding solemnly. Bill tested a lullaby jammer he’d cobbled together from a music box and a car alarm, resulting in a sinister rendition of “Twinkle, Twinkle” that made a nearby action figure topple over in fright. They’d spent weeks casing the Johnson household: monitoring cake delivery schedules, decoding balloon arrangements, and bribing a disgruntled clown with expired coupon books. The target: thirty-seven wrapped presents destined for Timmy’s seventh birthday bash. Their exit strategy involved a zip line rigged to a neighboring trampoline and a getaway vehicle disguised as a sentient-looking ice cream truck named “Fudgy Bumpkins.” Molly finally tugged the laser from her mouth. “We hit at naptime.” Bill nodded. “After cake.”
created_at"2026-03-25T10:35:43.961Z" 3/25/2026, 10:35:43 AM
model"qwen/qwen3-235b-a22b-07-25"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1710
moderation_latency(null)
generation_time17930
tokens_prompt77
tokens_completion370
native_tokens_prompt72
native_tokens_completion301
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"
usage0.00018708
router(null)
provider_responses
0
endpoint_id"ce835ea8-00c7-4686-831d-7733dac5e2d9"
id"019d2490881ec4645cef92308387d01a"
is_byokfalse
latency1709
model_permaslug"qwen/qwen3-235b-a22b-07-25"
provider_name"SiliconFlow"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer(null)
api_type"completions"
id"gen-1774434943-O72tgJY52VoIX2gyKbvd"
upstream_id"019d2490881ec4645cef92308387d01a"
total_cost0.00018708
cache_discount(null)
upstream_inference_cost0
provider_name"SiliconFlow"

Evaluation details

Result Evaluator Details Meta Data
86.38% Matches word count n/a
neededCleanfalse
words211
97.59% Dialogue to Total Word Ratio
Ratio: 6.05%, Deviation: 3.95%
neededCleanfalse
wordsTotal215
wordsDialogue13
91.9835%