Run: 2026-07-09-01KX41MW8QF4JEYDY5MVVDNP8F

Run Details

Duration:
20.1s
Cost:
$0.021540
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
0.00% Matches word count (details)
38.16% Dialogue to Total Word Ratio (details)
19.0781% 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 spread the blueprints across the café table. A waiter glanced over, saw the crayon castle, and wisely retreated. “Target is the Bumblebee Room at Happy Hippo’s Fun Palace,” Molly said. “Four o’clock Saturday. Thirty children, forty presents, one inflatable giraffe.” “Why forty presents?” “Divorced parents competing.” “Brutal.” “Lucrative.” Bill sipped his milkshake. His moustache turned pink. The plan looked simple, which worried him. Molly’s simple plans usually involved dentistry, livestock, or both. Last Christmas, they had escaped a jeweler’s vault on a pantomime donkey named Trevor. “So we enter through the kitchen?” Bill asked. “No. Security gate.” “We have invitations?” “We have better.” Molly produced two yellow T-shirts. HAPPY HIPPO PARTY HEROES glittered across them. Bill stared. “I’m not wearing that.” “You wore lederhosen to rob a bank.” “Those had pockets.” “These have hippos.” “Hippos don’t hold lockpicks.” Molly flipped his shirt over. A purple hippo grinned beneath the words ASK ME ABOUT BIRTHDAY MAGIC. “I will not.” “You must. You’re Bouncy Bill, trainee entertainer.” “What are you?” “Management.” A whistle shrieked nearby. Both thieves ducked. A barista had dropped a tray. Molly tapped the drawing. The presents would sit beside the birthday throne, guarded by one exhausted parent and a teenager dressed as Captain Carrot. At four-thirty, Molly would trigger the fire alarm using a candle, a balloon, and an unfortunate papier-mâché dragon. “During evacuation, you take the trolley,” she said. “What trolley?” “The cake trolley.” “We’re stealing cake too?” “No.” “Then this plan lacks ambition.” “The presents go under the tablecloth. We wheel them through the kitchen and into our van.” “Children notice presents disappearing.” “Children notice sugar, noise, and immediate injustice. That’s why you release the hamsters.” Bill lowered his glass. “There are hamsters?” “Petting corner.” “That’s not a corner. That’s an accomplice network.” “Precisely.” Rain ticked against the window. Bill examined the guest list. Princess dolls, building sets, remote-controlled cars: a respectable haul. Then he saw the name at the top. “Birthday child: Elsie Finch, age six.” “Yes.” “Six?” “Usually follows five.” “We’re robbing a six-year-old.” “We’re robbing thirty parents who bought presents.” “For a six-year-old.” Molly folded her arms. Bill looked at the hippo shirt, then the blueprint, then Molly. “Counterproposal.” “I dislike it already.” “We infiltrate, assess security, eat cake, and steal nothing.” “That is attending a party.” “Exactly. Nobody suspects attendance.” “And profit?” “We steal the parents’ car keys.” “No.” “The magician’s wallet?” “No.” “Captain Carrot’s dignity?” “Already gone.” Molly sighed and gathered the plans. “You’ve become soft.” “You planned hamster chaos.” “I’m focused.” “You drew tiny masks on them.” “They’re professionals.” Bill smiled. “So we’re not taking the presents?” Molly tucked the shirts into her bag. “We take one thing.” “What?” “The inflatable giraffe.” “Why?” “Because, Bill, every heist needs ambition.”
created_at"2026-07-09T18:18:40.289Z" 7/9/2026, 6:18:40 PM
model"openai/gpt-5.6-sol-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3304
moderation_latency(null)
generation_time20012
tokens_prompt77
tokens_completion1015
native_tokens_prompt66
native_tokens_completion707
native_tokens_completion_images0
native_tokens_reasoning0
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
service_tier"default"
usage0.02154
router(null)
provider_responses
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endpoint_id"a54c5de0-89bf-4ad7-a212-cf977eed918a"
id"resp_0032330ab8169587016a4fe600f9a481969a7ec6ebf108b1e2"
is_byokfalse
latency1091
model_permaslug"openai/gpt-5.6-sol-20260709"
provider_name"OpenAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1783621120-NbuThybUtx8QkmKjVkOk"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1783621120-Tbp9gdrq5dMAHEKLuUcK"
upstream_id"resp_0032330ab8169587016a4fe600f9a481969a7ec6ebf108b1e2"
total_cost0.02154
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
0.00% Matches word count n/a
neededCleanfalse
words460
38.16% Dialogue to Total Word Ratio
Ratio: 54.39%, Deviation: 4.39%
neededCleanfalse
wordsTotal467
wordsDialogue254
19.0781%