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Run: 2026-03-18-01KM0ABBARM8V6F464MFXC32BN
Run Details
Model:
GPT-5.4 Nano (Reasoning)
Test:
Dialogue tags
Scenario:
Write 500 words with 30% dialogue
Duration:
9.5s
Cost:
$0.001953
Provider:
OpenAI
Evaluation summary
Score
Evaluator
Details Link
0.00%
Matches word count
(details)
0.00%
Dialogue to Total Word Ratio
(details)
0.0000%
Overall
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
Messages
Meta
AI
Molly crouched behind a hedge that looked like it had survived three divorces and a lightning strike. Across the street, a balloon arch bobbed like it was trying to escape. Pink streamers drifted toward the window of the house, where cheerful music thumped in a rhythm that suggested someone was definitely winning. Bill leaned beside her, wearing a hat that was suspiciously large and had “BOB THE MAGICIAN” embroidered on it. He lowered his voice the way people lowered their expectations at potlucks. “Tell me that hat isn’t part of your plan.” “It’s camouflage,” Molly whispered. “Everyone ignores magicians. They assume you’ll do something dramatic. Like producing doves or setting yourself on fire.” “That’s not camouflage,” Bill said. “That’s a cry for help with flair.” Molly raised her binoculars. Inside, kids squealed at a table covered in frosting and tiny cupcakes shaped like dinosaurs. A mound of presents sat near the tree, each box wrapped in paper that screamed, I HAVE BEEN SPECIAL-ORDERED WITH LOVE. Bill cleared his throat. “Okay. We slip in during the… um… moment between laughter and whatever the adult is calling ‘the big surprise.’” Molly nodded, as if “moment between laughter” was a real, measurable unit of time. “Exactly. The party will be busy. The adults will be distracted. And the children will be holding something sticky, which means their judgment will be compromised.” “That sounds like you’ve done this before,” Bill said. “I have done this before,” Molly replied. “Not with children’s parties. With museums. But the concept is the same. People are loud. Things are shiny. And everyone’s looking at the wrong object.” Bill glanced at the front door. A wreath shaped like a smiling hamster stared back from the frame. “I’m worried about the hamster.” Molly lowered the binoculars. “The hamster is not a security system. It’s a decoration.” “It looks like it knows things,” Bill said. “Also, we’re stealing presents. Stealing is… stealing. We should at least rehearse our moral regret.” Molly smirked. “We’ll rehearse it while we’re running away.” Bill nodded like he’d just been offered a contract. “Good. Because I’m great at regret. I have a talent for it. I can do it in dramatic poses.” Molly stood, careful not to crinkle the hedge’s feelings. “Listen. We only need one distraction. Something big. Something that makes them look away from the presents.” Bill frowned. “Like a prank?” “Not a prank,” Molly corrected. “A… helpful diversion. Something that turns the party into a story. For example: a sudden burst of confetti, or a balloon that floats away, or a guest who claims their magic trick has gone missing.” Bill rubbed his chin under his hat. “We could be the missing guests.” “That’s the spirit,” Molly said. Bill leaned closer. “But what if the real magician shows up?” Molly smiled sweetly, the way a cat smiles before knocking a glass off a table. “Then we’ll improvise.” The house’s music shifted to a triumphant tune, and laughter rose like a tide. A clapping chant began—someone counting down to cake. Molly checked her phone and pretended it was receiving classified information. “Cake is in three minutes. We move when the adult attention is at its absolute peak and their common sense is at its lowest.” Bill sighed. “Common sense is already pretty low at children’s parties. It’s basically a toddler with a cape.” Molly gestured toward the yard. “Walk like you belong. Talk like you were invited. Be so normal that no one questions you.” Bill adjusted his “BOB THE MAGICIAN” hat. “Normal is my middle name.” “It’s your first name,” Molly said. “My middle name is ‘Absolutely Suspicious,’” Bill replied. “It’s on my birth certificate.” Molly’s eyes sparkled with the thrill of potential chaos. “All right, Bill. On my count, you’ll create the diversion.” “I love diversions,” Bill said. “Do you have a cue card?” Molly narrowed her eyes. “I have confidence.” Bill looked toward the presents again, their glossy paper begging to be stolen. “And I have… irrational optimism.” “Perfect,” Molly whispered. “Because optimism is what criminals run on.” Bill gulped. “Are we criminals?” “We’re professional,” Molly said. “There’s a difference.” Bill swallowed, then forced a grin. “Molly… the Hamster Wreath is still staring at me.” “It’s decorative,” Molly said again, though her voice wavered slightly. Bill pointed. “It blinked.” Molly stared at it for one long second. The hamster’s stitched smile held steady, but the string lights behind it flickered, just once, like a wink from the universe. Molly exhaled. “Okay. New plan. We’ll steal the presents before the hamster learns how to report us.” Bill nodded. “To the presents, then. Swiftly. Elegantly. Without triggering—whatever that is.” Molly’s hand hovered over the hedge, poised like a conductor starting an orchestra of bad decisions. “On three.” Bill whispered, “On three.”
created_at
"2026-03-18T11:12:31.078Z"
3/18/2026, 11:12:31 AM
model
"openai/gpt-5.4-nano-20260317"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
4906
moderation_latency
(null)
generation_time
9150
tokens_prompt
77
tokens_completion
1482
native_tokens_prompt
66
native_tokens_completion
1552
native_tokens_completion_images
0
native_tokens_reasoning
441
native_tokens_cached
0
num_media_prompt
(null)
num_input_audio_prompt
(null)
num_media_completion
0
num_search_results
(null)
origin
"https://ncbench.com/"
is_byok
false
finish_reason
"stop"
native_finish_reason
"completed"
usage
0.0019532
router
(null)
provider_responses
0
endpoint_id
"0c835f2e-c18d-4e8c-b245-e1e3bd08b97f"
id
"resp_0618f332ebc7a0d20169ba889f20c0819380881b23a55fbd37"
is_byok
false
latency
173
model_permaslug
"openai/gpt-5.4-nano-20260317"
provider_name
"OpenAI"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer
(null)
api_type
"completions"
id
"gen-1773832351-S64yYpuEnI2QE4CKQ37U"
upstream_id
"resp_0618f332ebc7a0d20169ba889f20c0819380881b23a55fbd37"
total_cost
0.0019532
cache_discount
(null)
upstream_inference_cost
0
provider_name
"OpenAI"
Evaluation details
Result
Evaluator
Details
Meta Data
0.00%
Matches word count
n/a
neededClean
false
words
800
0.00%
Dialogue to Total Word Ratio
Ratio: 53.93%, Deviation: 23.93%
neededClean
false
wordsTotal
801
wordsDialogue
432
0.0000%