Run: 2026-02-16-01KHK97V9EPKQPZ6RA6DE77PYS

Run Details

Duration:
50.0s
Cost:
$0.018693
Provider:
OpenAI

Model input

User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 90% 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
"Molly, I can't believe we're robbing a six-year-old's birthday party." "Calm down, Bill. Rich six-year-old. Those gift bags are basically ATMs with glitter." "There's a unicorn bouncy castle. That's not security, that's a trap for my dignity." "Dignity doesn't pay rent. Presents do. Now, schedule: clown shows at three, magician at three-thirty, we slip in during the balloon-animal chaos." "Explain how we don't get spotted while hauling a sack of Paw Patrol merchandise out the door." "Simple. We bring our own sack of decoy presents, swap, and vanish." "So we're… reverse Santas." "Exactly. Anti-Clauses." "I didn't grow up dreaming I'd become the Grinch's unpaid intern." "Consider it character development. Did you print the fake 'Adult Supervision Inspector' badges?" "Yes, but they say 'Supversion.' The printer jammed and I panicked." "Perfect. No one reads badges at a sugar high." "Fine. What about the kids? They see everything. They're like tiny drunk detectives." "That’s why we bring camouflage." "You bought camouflage for a suburban birthday?" Molly pulled out two oversized mascot heads from the duffel. "We go in as backup entertainment: Princess Llama and Sir Dance-a-lot." Bill stared. "I quit." "You dance, I loot." "…I'm billing overtime." "And I demand cake hazard."
created_at"2026-02-16T13:12:26.816203+00:00" 2/16/2026, 1:12:26 PM
model"openai/gpt-5.1-20251113"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency6901
moderation_latency(null)
generation_time49861
tokens_prompt77
tokens_completion993
native_tokens_prompt66
native_tokens_completion1861
native_tokens_completion_images0
native_tokens_reasoning1557
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"completed"
usage0.0186925
router(null)
provider_responses
0
id"resp_0e1aa7c32b58a672016993178890488193886bfd0a2707277a"
status200
is_byokfalse
latency158
endpoint_id"764eb97f-8bab-4326-b29b-7a8799b00a70"
provider_name"OpenAI"
model_permaslug"openai/gpt-5.1-20251113"
api_type"completions"
id"gen-1771247496-OMKFbxi6pYFDfVPufoau"
upstream_id"resp_0e1aa7c32b58a672016993178890488193886bfd0a2707277a"
total_cost0.0186925
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"

Evaluation details

Result Evaluator Details Meta Data
93.6496% Matches word count n/a
neededCleanfalse
words209
96.7652% Dialogue to Total Word Ratio
Ratio: 94.26%, Deviation: 4.26%
neededCleanfalse
wordsTotal209
wordsDialogue197
95.2074%