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Run: 2026-03-18-01KM0916QV899H5D94H050DFN4
Run Details
Model:
GPT-5.4 Nano (Reasoning, Low)
Test:
Dialogue tags
Scenario:
Write 500 words with 30% dialogue
Duration:
8.5s
Cost:
$0.001623
Provider:
OpenAI
Evaluation summary
Score
Evaluator
Details Link
0.00%
Matches word count
(details)
5.37%
Dialogue to Total Word Ratio
(details)
2.6834%
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 the hedges like they were paying rent in her name. The backyard beyond her was a carnival of pastel betrayal: balloons, a bouncing slide, and a banner that read CELEBRATE LUCAS with enough glitter to qualify as a felony on its own. Bill leaned close, holding a roll of duct tape and looking offended by the concept of joy. “This is a respectable operation,” Bill whispered, as if the party could overhear and file a complaint. Molly peered through the fence slats. “Respectable? Bill, we’re about to rob a child’s party.” “Not rob,” Bill corrected. “Liberate. Redistribute. Return to our personal collection of… wealth-shaped objects.” Molly smirked and adjusted the tiny headlamp strapped to her forehead. “Okay, Robin Hood of Discount Toys.” Bill pointed at the front door. “They’ve got presents stacked by the tree like it’s a reenactment of the first winter. We take all of them.” “All of them?” Molly asked. “That’s ambitious. Also, Lucas is going to cry, and I’d like to keep my karma unwrinkled.” Bill’s grin widened. “Karma doesn’t cry. Karma files paperwork.” A distant voice floated over the yard. “Who wants cake after the games?” Molly flinched so hard her headlamp flickered. “Friends, I’m not sure the cake is our enemy.” “It’s not the cake,” Bill said. “It’s the presents. Also, I don’t like cake being nearby. Cake gets everywhere. Like witnesses.” Molly studied the doorbell cam under the eave. “We can’t just walk in. There’s a motion sensor.” Bill lifted a small gadget with suspicious confidence. “I brought a device.” “You brought a device,” Molly echoed. “It’s not suspicious,” Bill said. “It’s… artisanal.” He clicked a button. The device whirred, then emitted a thin beep like a microwave begging for mercy. The air seemed to shimmer for half a second, and then the motion indicator on the cam went blank, as if the camera had decided it was allergic to movement. Molly exhaled. “You just made the security system have a personality.” “Exactly,” Bill said. “No one can catch us if they can’t see us. It’s science. Or maybe it’s just incompetence.” “Science or incompetence,” Molly said, stepping toward the gate. “I’m choosing confidence.” They slipped in through the unlocked side gate that, in what Molly called “a rare act of luck,” had been left open like an invitation to criminal nonsense. Inside, the backyard was louder now: squeals, claps, and the unmistakable thump of party music. Molly pressed a finger to her lips, then pointed toward the living room windows. “Target presents. Living room. We grab, we bag, we disappear before anyone asks what ‘thief’ means.” Bill’s eyes gleamed. “I already know what thieves mean.” Molly glanced at his outfit. He wore a striped hoodie and a mask that looked like a cartoon hedgehog. “You look like you sell skepticism at farmer’s markets.” Bill flexed proudly. “It’s disguise.” “It’s a costume,” Molly corrected. He held up a small sack. “I’m carrying a bag for the presents.” Molly held up her own bag, which was comically small, like it was made for carrying regret. “Mine’s for the smaller stuff.” Bill leaned closer. “We’ll coordinate.” Molly’s voice dropped to a whisper. “We will not coordinate by improvising.” Bill nodded solemnly. “Agreed. We shall do math. What’s the plan?” Molly tapped her watch. “We go in, we take everything shiny and rectangular. We avoid anything with personal messages. No name tags. No emotional attachments.” Bill scratched his chin. “But emotional attachments are usually the best toys.” Molly gave him a look that could curdle milk. “Bill.” “Fine,” Bill said. “We’re professionals. Emotionally detached criminals.” The door to the living room swung open. A clown balloon animal bobbed past the hallway, wobbling like it was doing its own surveillance. Molly and Bill froze. In the doorway stood a woman in a party hat, holding a tray of cupcakes. “Oh!” she chirped. “You must be the—” Bill moved too fast, as if his muscles were trying to outrun his brain. He blurted, “Contractors!” Molly gasped. “Bill, there are no contractors at a children’s party!” The woman blinked. Her gaze drifted to their duct tape and hedgehog masks, then to Molly’s headlamp. “Contractors… for what?” Bill swallowed. “For… the surprise.” Molly leaned in, smiling with the calm of someone who had read three crime documentaries and ignored all of them. “We’re here to hide the presents. But the presents are already hidden.” The woman stared, then laughed. “They are? Lucas, come see!” The room filled with a chorus of tiny footsteps. Molly’s fingers tightened around her bag. Bill shot her a frantic look, then pointed toward the tree where presents sat in neat, fragile piles, wrapped in paper that smelled like new tape and parental optimism. Molly whispered, “Now.” Bill whispered back, “Now.” They lunged at the tree like two villains auditioning for a cartoon, snatching one gift each—then immediately stopping as the kids swarmed the doorway, laughing. Lucas’s voice rang out. “Where are the presents going?” Molly and Bill exchanged a single, doomed glance.
created_at
"2026-03-18T10:49:30.117Z"
3/18/2026, 10:49:30 AM
model
"openai/gpt-5.4-nano-20260317"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
3010
moderation_latency
(null)
generation_time
8374
tokens_prompt
77
tokens_completion
1576
native_tokens_prompt
66
native_tokens_completion
1288
native_tokens_completion_images
0
native_tokens_reasoning
96
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
0.0016232
router
(null)
provider_responses
0
endpoint_id
"0c835f2e-c18d-4e8c-b245-e1e3bd08b97f"
id
"resp_0437636a457c60e00169ba833a322c8195be4e743bcf3a99fd"
is_byok
false
latency
251
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-1773830970-tafyHCh3I3zoHJ5DvzqA"
upstream_id
"resp_0437636a457c60e00169ba833a322c8195be4e743bcf3a99fd"
total_cost
0.0016232
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
841
5.37%
Dialogue to Total Word Ratio
Ratio: 37.65%, Deviation: 7.65%
neededClean
false
wordsTotal
842
wordsDialogue
317
2.6834%