Run: 2026-07-09-01KX40HVRAFV81CMW0CSY250FA

Run Details

Duration:
21.0s
Cost:
$0.028200
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
0.00% Matches word count (details)
0.89% Dialogue to Total Word Ratio (details)
0.4459% 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 a crayon map across the café table, pinning its corners with sugar shakers. A purple castle leaned over a green garden. Stick-figure children danced beneath a sun wearing sunglasses. “Your intelligence is drawn in crayon.” “It’s authentic,” Bill said. “Birthday girl made it.” “You stole a child’s drawing?” “I found it displayed on the refrigerator.” “Inside her house?” “Details distract from strategy.” Molly squinted at the map. Around them, teaspoons chimed, milk steamed, and nobody noticed two thieves planning the most reprehensible robbery in town. “The presents are here,” Bill said, tapping the castle. “That’s a bouncy castle.” “Exactly. Perfect cover.” “For presents?” “For us.” “We’ll hide inside it?” “We enter disguised as entertainers.” Molly stared at him. “No.” “You haven’t heard the costumes.” “Still no.” “Magicians.” “No.” “Pirates.” “No.” “Educational pirates.” “That’s not a thing.” “Then why did I buy flash cards?” Bill produced an eyepatch and a laminated multiplication table. Molly pushed both away. “The party has thirty children, eighteen parents, one grandmother with military binoculars, and a Labrador named Custard.” “How do you know about Custard?” “He ate our original map.” Bill unfolded a damp scrap of paper covered in tooth marks. “That explains the crayon.” “The gifts arrive through the front gate,” Molly said. “They’re stacked in the conservatory. We need a distraction, transportation, and plausible innocence.” “I can juggle.” “You can’t catch.” “That makes it distracting.” Rain freckled the window. Molly watched a bus crawl past, full of schoolchildren pressing faces to the glass. Her conscience cleared its throat. She ignored it professionally. “We aren’t taking everything,” she said. “The client said everything.” “The client also wears a velvet cape to breakfast.” “Successful people establish a brand.” “Successful people don’t hire us.” Bill considered this, wounded. “I have a van.” “You have a bicycle.” “It has a basket.” “The presents include a trampoline.” “Compressed?” “Boxed.” “Still ambitious for the basket.” Molly drew arrows on the map. The plan became increasingly elaborate, like a spider suffering anxiety. “At two o’clock, the clown starts balloon animals. At two-ten, cake. At two-fifteen, every adult photographs the candles.” “And we strike.” “We walk in.” “Less dramatic.” “More survivable.” “What are our disguises?” “Delivery drivers.” “Delivering what?” Molly smiled and pointed to the kitchen entrance. “Ice cream.” Bill’s eyes widened. “Children will follow us.” “Not if you drop the tubs outside.” “You want me to sacrifice ice cream?” “For crime.” “That feels unethical.” “We’re stealing birthday presents.” “Yes, but standards matter.” A waitress approached. Molly folded the map, but Bill’s eyepatch remained beside his cappuccino like evidence with foam. “Another coffee?” the waitress asked. “No, thank you,” Molly said. “Yes,” Bill said. “Crime is exhausting.” The waitress retreated. Molly lowered her voice. “Once everyone runs for the ice cream, I load the presents onto the catering trolley. You hold the gate.” “With what?” “Confidence.” “I’m low on that.” “Use the eyepatch.” Bill put it on. It covered the wrong eye, then the right, then somehow both when the elastic slipped. “I can’t see.” “Excellent. You’ll look management.” “And Custard?” “Sausages.” “Grandmother?” “Compliments.” “The clown?” “Respect. He’s suffered enough.” Bill lifted his cup solemnly. “To the birthday raid.” “To selective acquisition.” “To the trampoline.” “We are not taking the trampoline.” “The cape client specifically requested it.” Molly looked at the cheerful crayon castle, the tiny presents, and the birthday girl’s enormous purple smile. She sighed. “We steal from the parents.” “What?” “Wallets, watches, car keys. Leave the gifts.” Bill brightened. “Much more ethical.” “Infinitely.” “And easier to fit in the basket.” They shook hands across the map just as the sugar shakers toppled, burying the bouncy castle in white crystals. Bill nodded gravely. “Snow,” he said. “Foreshadowing.” “It’s July.” “Then it’s cocaine.” “Children’s party, Molly.” “Standards matter,” she agreed.
created_at"2026-07-09T17:59:33.413Z" 7/9/2026, 5:59:33 PM
model"openai/gpt-5.6-sol-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1680
moderation_latency(null)
generation_time20268
tokens_prompt77
tokens_completion1394
native_tokens_prompt66
native_tokens_completion929
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"
usage0.0282
router(null)
provider_responses
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endpoint_id"a54c5de0-89bf-4ad7-a212-cf977eed918a"
id"resp_0260ba3d57988e64016a4fe18586b48194bf94c75ad1744145"
is_byokfalse
latency414
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-1783619973-ASZvnlTBOcEIXAPpVe1W"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1783619973-EkQg2522SARZw1VbfpZN"
upstream_id"resp_0260ba3d57988e64016a4fe18586b48194bf94c75ad1744145"
total_cost0.0282
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
words630
0.89% Dialogue to Total Word Ratio
Ratio: 59.72%, Deviation: 9.72%
neededCleanfalse
wordsTotal633
wordsDialogue378
0.4459%