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Run: 2026-03-18-01KM07QT5X38V6R9HTWY6GXXYM
Run Details
Model:
GPT-5.4 Nano
Test:
Dialogue tags
Scenario:
Write 500 words with 70% dialogue
Duration:
5.5s
Cost:
$0.001482
Provider:
OpenAI
Evaluation summary
Score
Evaluator
Details Link
0.00%
Matches word count
(details)
32.12%
Dialogue to Total Word Ratio
(details)
16.0621%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 500 word scene that has 70% 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, you sure this is the right address?” Bill whispered, crouching behind a shrub as glittery balloons bobbed like suspicious targets. “It’s the right address,” Molly hissed, slipping a tiny crowbar from her bag like it was a spoon for soup. “I triple-checked the invite list. It says ‘Children’s Party: Please bring presents.’ That’s basically a treasure map.” “Yeah, well, I thought treasure maps usually include, like, a dragon.” “Dragons don’t have cake tables,” Molly said. “Dragons have lawyers. Now hush. Your zipper’s doing that thing again.” “My zipper is not doing anything.” “It is making noise like a snitchy accordion. Just—hold it shut with your dignity.” Bill held the zipper down with two fingers and looked offended at the concept of dignity. “Okay. So what’s the plan? We walk in, grab the presents, and—boom—like in the movies?” “In the movies,” Molly said, adjusting her black beanie, “they always have cool walkways and dramatic music. In real life, we have squeaky floors and a guy named Trevor who won’t stop doing magic tricks with apple slices.” “Trevor sounds like a threat.” “Trevor is a salad,” Molly corrected. “We ignore salad. We focus on presents.” Bill nodded slowly. “But how do we get past the… uh… the security? I saw a dog.” “It’s not a security dog,” Molly said, peering at the front door. “It’s a golden retriever named Biscuit who would apologize if you stepped on its tail.” “That’s not a dog,” Bill whispered. “That’s a marshmallow with teeth.” “Molly,” Bill said, pointing with his thumb, “that marshmallow is currently watching us.” Biscuit’s tail thumped like a tiny carnival drum. “Good evening,” Molly said brightly to the dog, like she was welcoming it to a spa. Biscuit sniffed the air, stared at the beanie, and sneezed directly onto Bill’s shoulder. Bill blinked. “I’m being attacked by allergies.” “Say thanks,” Molly murmured. “It means we’re doing well.” Bill wiped his shoulder. “Do you want to steal the presents or do you want to be emotionally adopted by the dog?” “Presents,” Molly said. “Emotion comes after the crime, like dessert. Now listen carefully.” Bill leaned in. “I’m listening. I’m a professional listener. I listen for knocks, alarms, and emotional breakdowns.” “First, we go through the side window.” “That’s… exactly where everyone goes in.” “That’s why it’s ideal,” Molly said. “Nobody expects criminals who are specifically doing criminal things.” “Science.” “Second,” Molly continued, “we do not touch the gift pile until we confirm the big ones are actually the big ones.” “That’s tricky,” Bill said. “Kids don’t label anything. Half the time it’s ‘From: Mom.’” “Exactly,” Molly said. “Which means ‘From: Mom’ could be a toy car or it could be an emotional support unicorn that costs more than my rent.” Bill swallowed. “Okay. What’s third?” Molly opened a small roll of tape. “We steal the presents, not the snacks.” Bill’s eyes narrowed. “That’s part of the snack heist logic. If we don’t steal the snacks, then what are we?” “Professionals,” Molly said. “We’re professionals. We’re not monsters with a sweet tooth.” Bill’s stomach growled audibly, ruining his tough-guy face. Molly glanced at him. “That growl was so loud I can hear it from my childhood trauma.” Bill pulled a pouch of gummy worms from his pocket. “I brought emergency candy.” “Emergency candy is not stealth,” Molly said, taking the pouch and stuffing it deeper into his bag. “Now fourth: no touching anything glittery.” Bill frowned. “But there’s glitter everywhere.” “Exactly,” Molly said. “Glitter clings. Glitter stays. Glitter makes you look guilty even in court.” Bill nodded solemnly. “Glitter is forever.” Molly crouched near the side window and whispered, “Okay. I open. You watch for Trevor. If Trevor appears, we do the polite guest thing.” “How do we do the polite guest thing?” Bill asked. “We smile like we’re here to admire the balloons,” Molly said. “And if he asks questions, we say we’re ‘just helping with party logistics.’” Bill repeated, “Party logistics.” Molly lifted the latch. “Last thing. If anything goes wrong, we run.” “Where do we run?” “Toward our future,” Molly said. “Preferably with presents.” Bill exhaled. “Alright. On three.” Molly mouthed, “One,” her fingers already moving with practiced ease. Bill whispered, “Two,” and the dog sneezed again, like it was applauding their timing. Molly whispered, “Three,” and the window gave a tiny, dramatic click—just as the front door opened and a child’s voice rang out, bright as a siren. “Who’s there?” the child called. Bill froze. “Molly,” he hissed, “what do we do?” Molly smiled without joy. “We say we’re… party logistics.”
created_at
"2026-03-18T10:26:53.769Z"
3/18/2026, 10:26:53 AM
model
"openai/gpt-5.4-nano-20260317"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
454
moderation_latency
(null)
generation_time
5225
tokens_prompt
77
tokens_completion
1426
native_tokens_prompt
66
native_tokens_completion
1175
native_tokens_completion_images
0
native_tokens_reasoning
0
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
0.00148195
router
(null)
provider_responses
0
endpoint_id
"0c835f2e-c18d-4e8c-b245-e1e3bd08b97f"
id
"resp_0dec97f0d4f56bf10169ba7dedd88481969927f65aa3354f9f"
is_byok
false
latency
194
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-1773829613-fy3SYwn0NrnUIAs8LIJx"
upstream_id
"resp_0dec97f0d4f56bf10169ba7dedd88481969927f65aa3354f9f"
total_cost
0.00148195
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
766
32.12%
Dialogue to Total Word Ratio
Ratio: 65.23%, Deviation: 4.77%
neededClean
false
wordsTotal
768
wordsDialogue
501
16.0621%