Run: 2026-03-09-01KKABXHQT7Z47HZN6AEWGPXRG

Run Details

Duration:
28.4s
Cost:
$0.016920
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
0.00% Matches word count (details)
15.35% Dialogue to Total Word Ratio (details)
7.6737% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 500 word scene that has 50% 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 lay flat on the sloped garage roof across from Number Eleven, peering through opera glasses so pink they looked stolen from a flamingo. Below, the garden for little Oscar’s sixth birthday blazed with bunting, balloons, and the sort of sugar-fueled chaos that made adults forget basic perimeter security. Bill crawled up beside her, wheezing with the quiet dignity of a man whose criminal career had not prepared him for guttering. “You said this would be simple.” “It is simple,” Molly whispered. “Simple does not mean comfortable.” “There are ponies, Molly.” “One pony. And it’s painted like a zebra. That’s not security. That’s a cry for help.” Bill squinted at the lawn. “I count fourteen children, nine mothers, three fathers pretending they’re not hiding by the grill, and one clown.” “Two clowns,” said Molly. Bill lowered the binoculars. “Where?” She pointed to the patio doors. “The man in the apron flipping sausages with a dead stare. That’s a clown in his natural habitat.” Below them, a shriek rose as a child walloped a piñata shaped like a dragon. Sweets exploded over the grass. Every child surged like piranhas in tiny trainers. Bill nodded despite himself. “Good distraction.” “Exactly. Phase one: observe the battlefield. Phase two: infiltrate. Phase three: liberate the gift mountain before the cake.” “You keep saying liberate as if we’re doing charity.” “We are,” said Molly. “For us.” In the far corner of the garden sat a long table sagging under presents wrapped in rockets, dinosaurs, and one suspiciously neat parcel that practically hummed expensive electronics. Bill licked his lips. “I see at least three premium toy boxes. Maybe a tablet.” “Focus,” Molly said. “The target is volume. We’re not curating a museum.” “And our disguises?” Molly opened her bag and produced two fluorescent tabards. One read PARTY CREW. The other read PARTY CREW!!! in case of illiteracy. Bill stared. “That’s your grand disguise? High-visibility lying?” “No one questions a tabard, Bill. It’s the modern crown.” He pulled his on reluctantly. “What if they ask who hired us?” “You say Denise.” “Who’s Denise?” “There is always a Denise. If there isn’t, people assume there should be.” From the street came the squeak of a van door. Bill glanced over. “Our driver’s early.” “Our driver is a sixteen-year-old with a provisional license and the moral flexibility of a ferret. He’ll wait.” “Comforting.” Molly folded the glasses. “Right. You go in through the side gate carrying this clipboard.” “There’s nothing on it.” “That’s what makes it official. I’ll approach from the patio with the emergency line.” Bill sighed. “Which is?” She cleared her throat. “Excuse me, sorry, where do you want the extra ice?” Bill blinked. “That’s it?” “You’d be astonished what panic a mention of melting beverages can cause among parents.” They slid from the roof, dropped into the alley, and dusted themselves off with the ceremony of professionals who had once robbed a jeweler by posing as grief counselors. At the gate, Bill straightened his tabard and adopted an expression of administrative fatigue. A woman intercepted him at once. “Oh good, are you with the party people?” Bill lifted the blank clipboard. “Denise sent me.” The woman’s face slackened in instant relief. “Thank God. Can you move the presents inside? The magician says the rabbit gets anxious around wrapping paper.” Bill pointed vaguely. “Standard rabbit protocol.” On the patio, Molly was already in motion. “Sorry! Extra ice! Where do you need it?” Three adults answered at once, each pointing in a different direction. While they argued over coolers, she glided to the gift table, scooped up armfuls, and passed them through the side hedge where Bill, to his visible amazement, stacked them in a laundry cart. A small boy in a pirate hat squinted at them. “Are you stealing Oscar’s presents?” Molly crouched to his level. “Absolutely not. We’re upgrading their location.” “Oh,” he said. “Can I help?” Bill muttered, “We’re being assisted by eyewitnesses now.” The boy grabbed a parcel shaped like a submarine and dumped it in the cart. “I hate Oscar,” he said cheerfully. Molly ruffled his hat. “A natural.” Within minutes the table was bare except for a card and a novelty whoopee cushion. From the lawn came a chorus of children gathering for cake. Bill gripped the cart. “We did it.” Molly smiled as the zebra pony sneezed blue glitter into the breeze. “Never underestimate adults in the presence of frosting.” They rolled the loot toward the alley, dignified as delivery staff, while behind them a mother’s voice rang out in horror. “Where have all the presents gone?” Molly didn’t look back. “Denise,” she said softly, “is going to take the blame beautifully.”
created_at"2026-03-09T22:36:38.532Z" 3/9/2026, 10:36:38 PM
model"openai/gpt-5.4-20260305"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2770
moderation_latency(null)
generation_time28292
tokens_prompt77
tokens_completion1489
native_tokens_prompt66
native_tokens_completion1117
native_tokens_completion_images0
native_tokens_reasoning36
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"
usage0.01692
router(null)
provider_responses
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endpoint_id"9ff5625c-403f-4d7f-b895-58ac7295062c"
id"resp_074abc0270c040060169af4b76982881908bd4c86bd088c318"
is_byokfalse
latency149
model_permaslug"openai/gpt-5.4-20260305"
provider_name"OpenAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer(null)
api_type"completions"
id"gen-1773095798-KSKcl6rGUmJ4vcYxpGhE"
upstream_id"resp_074abc0270c040060169af4b76982881908bd4c86bd088c318"
total_cost0.01692
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"

Evaluation details

Result Evaluator Details Meta Data
0.00% Matches word count n/a
neededCleanfalse
words780
15.35% Dialogue to Total Word Ratio
Ratio: 43.88%, Deviation: 6.12%
neededCleanfalse
wordsTotal784
wordsDialogue344
7.6737%