Run: 2026-02-16-01KHK9Y9X2AEKACXKR5VD12RAA

Run Details

Duration:
2m 25s
Cost:
$0.065723
Provider:
OpenAI

Model input

User/Human
You are a author of comedic heist books. Please write a 500 word scene that has 30% 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 community center on Maple Street pulsed like a beehive dipped in frosting, and Molly laid out blueprints on a pizza box while Bill tested the squeak of a rubber clown shoe. "Think of it as redistributing joy, but with better inventory control systems." Molly said. He eyed the kiddie banner flapping over the double doors; a cartoon dragon breathed soap bubbles that drifted across their stakeout car like glittery land mines. "I prefer jobs without confetti cannons, Mol. Last time I smelled unicorns." Bill said. Molly clicked a stopwatch, more for drama than timing, and produced a laminated schedule titled Operation Candle Melt, featuring stickers, color codes, and an ominous cupcake icon. "The invitation says two piñatas, three clowns, and a magician named Petite Steve." Molly said. Bill squinted at the map like it owed him money, nodding at arrows that led from the gift mountain to a side exit protected only by a cardboard castle and optimism. "Great, we’ll blend in as assistants and liberate packages during the finale elegantly." Bill said. He tugged on his borrowed vest, sequins protesting with every move; Molly uncapped a marker and began labeling rolling duffels with fake names like Aunt Mystery. "Elegance stops where sheet cake begins; we raid before candles get lit." Molly said. Through the window, a balloon arch arched harder than necessary, and a DJ sound-checked a playlist that seemed to be ninety percent bass and ten percent sugar. "What about the dragon mascot? That thing breathes bubble solution chemical warfare." Bill said. Molly flipped to a contingency page featuring doodled flames and a tiny extinguisher; beside it, she’d clipped a coupon for cupcakes, because morale and frosting are cousins anyway. "I bribed it with gummy worms. The handler thinks it’s a fundraiser for literacy." Molly said. Bill considered this, then pulled a compact mirror to practice his non-threatening smile; the mirror cracked a little under the strain but rallied with plucky resilience. "We are promoting literacy, specifically the fine print on return policies." Bill said. He rifled through a tote of disguises: a quiver of face brushes, googly eyes, rubber duck decals, and a foam tiara labeled Security that seemed sarcastic by design. "Blueprint: enter as balloon sculptors, exit as legends dragging rolling duffels stuffed triumphantly." Molly said. A child in a cape sprinted past the hedges, pursued by a parent wielding wet wipes with the haunted focus of a surgeon; both ignored the getaway van. "I’m allergic to balloons. They squeak like crime confessing itself to grandmothers at brunch." Bill said. Molly tossed him a palette and a foldable stool. He caught both with the reflexes of a raccoon near a compost bin and pretended it was elegance. "Fine, you’re the face painter. I’ll manage logistics and dramatic reveals myself." Molly said. "I can draw raccoons. Symbolism feels on-brand for moral ambiguity and snacks." Bill said. They bumped fists, thieves consecrating a plan with hand sanitizer, rolled toward destiny, which had juice boxes and nap time.
created_at"2026-02-16T13:26:18.321194+00:00" 2/16/2026, 1:26:18 PM
model"openai/gpt-5-2025-08-07"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency7519
moderation_latency(null)
generation_time145135
tokens_prompt77
tokens_completion1986
native_tokens_prompt66
native_tokens_completion6564
native_tokens_completion_images0
native_tokens_reasoning5888
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"
usage0.0657225
router(null)
provider_responses
0
id"resp_000988d9392a4d340169931a6878ac81948eaad010f3e2f7ac"
status200
is_byokfalse
latency179
endpoint_id"7c2f859a-7890-4e8e-b1de-1cd1c0a800b4"
provider_name"OpenAI"
model_permaslug"openai/gpt-5-2025-08-07"
api_type"completions"
id"gen-1771248232-y4J1oEtRrL06YprxU08i"
upstream_id"resp_000988d9392a4d340169931a6878ac81948eaad010f3e2f7ac"
total_cost0.0657225
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"

Evaluation details

Result Evaluator Details Meta Data
99.9190% Matches word count n/a
neededCleanfalse
words503
99.9980% Dialogue to Total Word Ratio
Ratio: 30.02%, Deviation: 0.02%
neededCleanfalse
wordsTotal503
wordsDialogue151
99.9585%