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Run: 2026-03-18-01KM07KZTXZ9FE3W1XDNC0B4ZT
Run Details
Model:
GPT-5.4 Nano (Reasoning)
Test:
Dialogue tags
Scenario:
Write 500 words with 50% dialogue
Duration:
9.3s
Cost:
$0.001701
Provider:
OpenAI
Evaluation summary
Score
Evaluator
Details Link
0.00%
Matches word count
(details)
1.91%
Dialogue to Total Word Ratio
(details)
0.9541%
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
Messages
Meta
AI
Molly crouched behind the hydrangeas, smoothing her disguise: a trench coat over a tutu, because apparently “security doesn’t expect whimsy.” Bill stood beside her holding a cupcake box like it contained critical tools instead of icing and regret. “Breathe,” Molly whispered. “We’re professionals. Also, why are you licking the cupcake?” “I’m checking for bite marks,” Bill said. “If the frosting is innocent, we can proceed.” Molly peered through the window. Inside, a clown honked a balloon animal into existence and the kids applauded like it was Broadway. A mountain of presents sat near the cake, wrapped in shiny paper and hope. “Okay,” Molly said, “their gift pile is right there. We grab everything that’s rectangular, labeled, and not suspiciously shaped like a drum.” Bill squinted. “That one over there has a squeaky hamster on it.” “That’s a toy,” Molly said. “We steal the toy. That’s the whole business model.” Bill tapped his headset, which was actually a hairband with a Bluetooth sticker. “I’m detecting guards.” “You mean the adults?” Molly asked. “Beige dad in cargo shorts. He’s got the posture of a man who owns extension cords.” Molly nodded. “Then we’ll distract him with your… culinary lies.” Bill puffed up. “My specialty. Misdirection via snacks.” Molly slid a tiny roll of tape from her pocket. “I need you to tape one present to the frosting cart so it looks like it’s part of the party.” Bill gasped. “That’s evil genius.” “It’s called logistics,” Molly corrected. “And don’t call it evil. Parents hate that tone.” Bill pointed toward the door. “What about the guard at the window? The one holding a phone.” “That’s Mrs. Trundle,” Molly said. “She livestreams the party. We’ll have to block her signal.” Bill brightened. “I have a signal jammer.” Molly stared. “Please tell me you mean a decoy policy.” “I mean,” Bill said, lowering his voice, “I brought a glitter cannon. It’s technically interference.” Molly blinked. “That’s not how physics—” “Physics is flexible,” Bill said. “Especially when sparkles are involved.” Molly checked the lock on the side gate, popping it open with a hairpin she had definitely stolen from a museum exhibit. “Glitter cannon at the window. You then swap the ‘Hamster Drum’ present with an identical box from your cupcake operation.” Bill frowned. “How would I have an identical box?” Molly raised an eyebrow. “Bill, you brought a cupcake box, not a warehouse.” Bill leaned closer. “The cupcake box is for size comparison. I’m improvising.” Molly exhaled. “Improvisation is how people end up on crime documentaries.” “It’s also how chefs get famous,” Bill said. “We’re not chefs,” Molly said, “we’re burglars with manners.” Bill grinned. “Manners are my strongest skill. Watch me politely open the door.” “Absolutely do not say ‘polite burglar’ out loud,” Molly warned. Bill saluted with two fingers. “Copy that.” A gust of laughter rolled from inside as a child tore open a balloon. Molly glanced at the time on her watch, which was actually an alarm clock duct-taped to a bracelet. “We’ve got six minutes before cake chaos.” Bill nodded, then whispered, “What if the kids recognize us from somewhere? I once waved at a magician at a school fundraiser.” Molly whispered back, “Kids recognize nobody. Their attention span is like a goldfish with ADHD.” Bill adjusted his tutu-trench situation by proxy, which mostly involved tugging at the hem. “Then my cover is perfect.” Molly pointed. “Move. Glitter at the window, cupcake box to the cart, and then we take the whole present pile.” Bill swallowed. “All of it?” “Every last one,” Molly said. “Even the ones that say ‘From Granddad.’ Granddad can survive disappointment.” Bill’s eyes widened. “That’s cold.” “That’s inheritance,” Molly replied, and pushed him toward the side window. “Just remember: we’re stealing joy, not harming anyone. Also, if anyone asks, you are a licensed party accessory.” Bill stepped into position. “Licensed by whom?” “Me,” Molly said. “I took a class online.” Bill peered through the curtain. “I’m ready.” “Not yet,” Molly hissed. “Wait for the clown to turn around. Timing is everything.” Bill leaned back. “How will I know?” Molly tapped the glass twice. From inside, the clown turned, unaware of the outside ballet of crime. Molly’s smile sharpened. “Now,” she said. “Glitter cannon.”
created_at
"2026-03-18T10:24:48.494Z"
3/18/2026, 10:24:48 AM
model
"openai/gpt-5.4-nano-20260317"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
8044
moderation_latency
(null)
generation_time
8472
tokens_prompt
77
tokens_completion
1570
native_tokens_prompt
66
native_tokens_completion
1350
native_tokens_completion_images
0
native_tokens_reasoning
335
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
0.0017007
router
(null)
provider_responses
0
endpoint_id
"0c835f2e-c18d-4e8c-b245-e1e3bd08b97f"
id
"resp_0c33159d3159ec730169ba7d70969c8196bfb2498f790f2a93"
is_byok
false
latency
208
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-1773829488-crLrnqBqRMwpo5EibZTY"
upstream_id
"resp_0c33159d3159ec730169ba7d70969c8196bfb2498f790f2a93"
total_cost
0.0017007
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
706
1.91%
Dialogue to Total Word Ratio
Ratio: 58.90%, Deviation: 8.90%
neededClean
false
wordsTotal
708
wordsDialogue
417
0.9541%