Run: 2026-02-16-01KHK9FP9VTQMZ894VTHCNPTH1

Run Details

Duration:
1m 19s
Cost:
$0.003370
Provider:
OpenAI

Model input

User/Human
You are a author of comedic heist books. Please write a 500 word scene that has 70% 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
Night hissed softly as Molly and Bill clung to the lip of the alley, trading glances that were equal parts thrill and trouble. The birthday party downstairs hummed with squealing laughter and helium; somewhere a DJ played a cheerful tune that would haunt their dreams later. The plan was ridiculous and urgent, a recipe for trouble wrapped in a bow. Molly: Okay, Bill, give me the rundown. Are we talking glitter bombs or cake-based diversions tonight? Bill: Patience, partner. We slip in during the lull when the party is singing “Happy Birthday” and the adults forget to watch the doors. Molly: The lull always lasts exactly as long as the parents remember not to mix punch with wine. Then chaos. Bill: Exactly. First, we map out the room—tables, bounce castles, a suspiciously quiet corner where the gifts hide. Molly: Maps are for treasure, Bill. Our map is a route of snack crumbs and balloons. Bill: Snack crumbs are a trap. They lure security into a blissful nap, dreaming of cookies. Molly: Right. Then the grand entrance: we pretend to be a party entertainment duo—banjo-playing pirates with a juggling act. Bill: Pirates? The kids will adore that. The parents will adore the delay while we slip past the gift stash. Molly: Slip past the gift stash? There is no “gift stash”; there are gift stacks, fortunes of wrapped potential under the table. Bill: Fortunes wrapped in cellophane. We just need a decoy—the cake erupts with confetti and distracts the crowd. Molly: Confetti cannons are loud. We can’t trust the cones to explode at the right moment. Bill: Then we borrow a few gifts with a polite “may we borrow your gifts” and return them after the cake. Molly: Borrowing is stealing; let’s call it “unwrapping into our pockets” and then returning with a flourish. Bill: Flourish is key. We twirl, we bow, we vanish behind the punch bowl. Molly: We vanish behind the punch bowl and vow to never speak of the frosting caper again. Bill: Which begs the question: what do we do with the rest of the presents once we have a few decoys and a handful of teddy bears? Molly: We re-wrap them; it’s a philanthropic misdirection. The real swag lands in the neighbor’s yard. Bill: Philanthropy as cover. I like it. Also, do we have a get-away vehicle lined up or do we bike over on unicycles? Molly: Unicycles are dramatic but risky. Let’s stick to a borrowed minivan and a chorus of kids calling “go, go!” to cheer us on. Bill: The kids will shout? Great. They will create a cover of noise we can slip through. Molly: Okay, plan in motion. Then we act. Then— Bill: Then we pretend to be part of the cleanup crew and vanish into the night, leaving the tangy scent of frosting and adventure behind. Molly: You know I love a good scent metaphor. Bill: I know you do. Now stay sharp, keep it silly, and whatever you do, don’t trip over the cake table. Molly: I make no promises, but I’ll try not to sneeze during the grand finale. Bill: Bless you in advance, partner. The neon balloons are watching.
created_at"2026-02-16T13:17:13.46943+00:00" 2/16/2026, 1:17:13 PM
model"openai/gpt-5-nano-2025-08-07"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency12632
moderation_latency(null)
generation_time78644
tokens_prompt77
tokens_completion2052
native_tokens_prompt66
native_tokens_completion8416
native_tokens_completion_images0
native_tokens_reasoning7680
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"
usage0.0033697
router(null)
provider_responses
0
id"resp_0a0f6704ae20d9e101699318899cb08195ac4e58243453cc13"
status200
is_byokfalse
latency113
endpoint_id"50329d77-04e1-4979-a184-c33030289476"
provider_name"OpenAI"
model_permaslug"openai/gpt-5-nano-2025-08-07"
api_type"completions"
id"gen-1771247753-csEaEP2RMul6LrogzEH3"
upstream_id"resp_0a0f6704ae20d9e101699318899cb08195ac4e58243453cc13"
total_cost0.0033697
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"

Evaluation details

Result Evaluator Details Meta Data
0.0000% Matches word count n/a
neededCleanfalse
words537
0.0000% Dialogue to Total Word Ratio
Ratio: 2.79%, Deviation: 67.21%
neededCleanfalse
wordsTotal537
wordsDialogue15
0.0000%