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Run: 2026-03-18-01KM0A285KWJA52EQ8G6T7KXPC
Run Details
Model:
GPT-5.4 Nano (Reasoning, Low)
Test:
Dialogue tags
Scenario:
Write 500 words with 50% dialogue
Duration:
9.2s
Cost:
$0.001599
Provider:
OpenAI
Evaluation summary
Score
Evaluator
Details Link
0.00%
Matches word count
(details)
98.49%
Dialogue to Total Word Ratio
(details)
49.2436%
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
Bill crouched behind a hedge that looked like it had been trimmed into a smile, which felt rude because this was a serious operation. Somewhere beyond the fence, party music thumped like a cheerful threat. Molly adjusted her headlamp, then immediately turned it off as if it had insulted her. “We are not crawling like raccoons,” she whispered. “Raccoons at least have dignity.” Bill swallowed. “Dignity won’t help us with the keypad. We need stealth.” Molly raised a tiny grappling hook. “Stealth is my love language.” “It’s also the reason you keep naming your tools,” Bill said. “Last time you called the suction cup ‘Reginald.’ Reginald squealed.” “That was Reginald’s fault for having feelings,” Molly murmured. She slid a slim device toward him. “Now, since you’re the brains and I’m the hands, press the—” “I thought we established I’m the hands,” Bill cut in, and then corrected himself. “I mean, press the— the… button.” Molly blinked. “The button is for people who don’t know what they’re doing.” Bill leaned closer to the fence gate, careful not to step on the plastic sprinkler that turned on whenever it sensed regret. “I know what I’m doing.” Molly’s headlamp clicked on for half a second, lighting up a small sign that read PLEASE SMILE FOR OUR NEIGHBORHOOD SECURITY CAMERA. “Oh,” she said. Bill’s shoulders tightened. “It’s okay. They don’t watch. Neighborhood cameras are mostly for birds and passive-aggressive squirrels.” The wind carried giggles. Beyond the window, a magician’s assistant waved glitter like it was a weapon. “We’ve got like nine minutes,” Bill whispered. “Then the kids play musical presents.” “Musical presents?” Molly repeated. “That’s… horrifying.” “Last year they played it with candy canes,” Bill said. “Someone cried. The candy canes were traumatized.” Molly pulled a folded map from her pocket. It was printed on what looked suspiciously like a birthday napkin. “Okay, plan. We go for the living room. We grab the big sacks. We leave the small toys.” Bill glanced at a row of gift bags visible through the glass. “The small toys are the traps. The big sacks are the bait. It’s reverse psychology.” Molly pointed at the front door. “The keypad is right there, and it’s set to—” Bill raised a finger. “Don’t say it.” Molly squinted. “It’s set to ‘1234.’” Bill exhaled through his nose. “People are monsters.” “They’re children,” Molly said. “Children love sequences. Besides, what kind of adult sets a keypad to 1234? That’s basically leaving a note that says, Please rob me with confidence.” Bill tapped the keypad with a gloved knuckle. The door clicked open, startlingly loud, like it had been waiting for applause. Molly flinched as a faint “ding-dong” echoed. Bill froze. “Was that the door?” Molly listened. The music continued. Somewhere, a kid laughed and said, “I think the door likes us!” Bill whispered, “Doors shouldn’t have favorite customers.” Molly slipped inside first, silent as a guilty thought. “We’re here for presents,” she said, as though the house were a reluctant witness. “All of them.” Bill followed, stepping over a pile of balloons shaped like smiling dinosaurs. “How many presents are ‘all’?” “Enough,” Molly replied. She opened the front room curtains with two fingers and a lot of confidence. “We’ll take the ones wrapped in shiny paper. We’ll leave the ones that look like they’re for someone named—” Bill leaned in, squinting. “Why are the labels in glitter?” “Because the parents are trying to outshine their guilt,” Molly said. She approached a table groaning under weight of bows and tiny stuffed animals. “See that? That’s a toy chest. That’s where the big stuff is.” Bill’s eyes widened. “The toy chest is locked.” Molly grinned, a knife-shaped expression. “Good. Locks mean they plan to protect their joy.” Bill held up a small battery-powered drill. “Your plan is to destroy the joy.” “My plan is to liberate it,” Molly corrected. “Joy wants freedom. It just doesn’t know it yet.” Bill exhaled, then tried to sound brave. “Okay. Drill, then grab. We move fast, and we leave before the singing happens.” Molly nodded solemnly. “Singing is always when people watch most closely.” From down the hall, a voice boomed, “EVERYBODY, READY TO SING HAPPY BIRTHDAY!” Bill grabbed a sack like it was a life raft. “We have to hurry.” Molly zipped her kit open. “We’re thieves, Bill. We don’t do ‘hurry.’ We do ‘precision panic.’” Bill stepped toward the toy chest. “If this alarm goes off, I’m blaming the sprinkler.” Molly’s smile sharpened. “If the sprinkler goes off, I’m blaming Reginald.” Bill looked at her. “You can’t blame a suction cup.” Molly whispered, “Watch me.” The singing began—off-key, enthusiastic, unstoppable. Molly pressed her tools to the lock, and Bill held the sack open like a reverent offering to chaos. “On three,” Molly said. Bill swallowed. “One.” Molly breathed in. “Two.” Bill mouthed, “Please don’t—” Molly: “Three.”
created_at
"2026-03-18T11:07:32.928Z"
3/18/2026, 11:07:32 AM
model
"openai/gpt-5.4-nano-20260317"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
3029
moderation_latency
(null)
generation_time
8933
tokens_prompt
77
tokens_completion
1555
native_tokens_prompt
66
native_tokens_completion
1269
native_tokens_completion_images
0
native_tokens_reasoning
78
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
0.00159945
router
(null)
provider_responses
0
endpoint_id
"0c835f2e-c18d-4e8c-b245-e1e3bd08b97f"
id
"resp_0961dcddbb3533150169ba877501888195be6bee1f465e70c8"
is_byok
false
latency
264
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-1773832052-xO1b1aFqE30MIp6hq5Tu"
upstream_id
"resp_0961dcddbb3533150169ba877501888195be6bee1f465e70c8"
total_cost
0.00159945
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
812
98.49%
Dialogue to Total Word Ratio
Ratio: 49.45%, Deviation: 0.55%
neededClean
false
wordsTotal
815
wordsDialogue
403
49.2436%