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Run: 2026-03-18-01KM07N564SCK47AC6C4HRG53B
Run Details
Model:
GPT-5.4 Nano (Reasoning, Low)
Test:
Dialogue tags
Scenario:
Write 500 words with 50% dialogue
Duration:
7.3s
Cost:
$0.002032
Provider:
OpenAI
Evaluation summary
Score
Evaluator
Details Link
0.00%
Matches word count
(details)
82.05%
Dialogue to Total Word Ratio
(details)
41.0252%
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 beside the hedges outside the pastel house, her dark hoodie blending with the night like a smudged crayon. Bill hovered near a wheelbarrow full of “decorations,” which was really a flatbed of tools disguised as balloon weights. Somewhere inside, a cheerful jingle played and a child laughed the way wind laughs through a keyhole. Bill whispered, “Okay, Molly, remind me why we’re doing this instead of, you know, stealing from a bank like civilized criminals.” Molly adjusted a pair of red sunglasses that looked suspiciously like novelty store merchandise. “Because banks have security systems and moral justification,” she said. “Children’s parties have… sticky floors. And moral justification is optional.” Bill nodded, then leaned closer to the window. “I can already hear the presents,” he said, eyes wide. “They’re probably wrapped in that shiny paper that makes my fingers look guilty.” “Your fingers are always guilty,” Molly muttered. She slid a thin plastic card into her pocket and patted it like it was a pet. “We go in, grab the loot, and out before the birthday clown starts juggling our conscience.” Bill glanced down at his outfit: a fake mustache, a striped vest, and a bright party hat he’d “borrowed” from a nearby supply store. “I’m dressed as the world’s most suspicious magician.” “You’re dressed like a magician who studied crime,” Molly replied. “Now listen. The key is the timing.” “Timing,” Bill echoed, chewing the word like it tasted of cake. “Like… right after the candles? When the parents are distracted by pretending the child’s breath smells like mint?” Molly pointed at the front door. “Right after the loot has been presented,” she said. “We let the kids think the presents are being appreciated. Then we appreciate them ourselves with faster hands.” Bill pressed his ear to the doorframe, as if he could hear the inventory list of joy. “I hear the words ‘Open it!’ about to be yelled by someone named Tiffany or—” “Mandy,” Molly said. “The mom is Mandy. I saw her at the grocery store buying sprinkles and emotional resilience.” Bill blinked. “You surveilled her sprinkles?” “I surveilled her,” Molly corrected. “And I took notes on the suspicious amount of tape she uses. Tape is always a trap. Tape is also, conveniently, our cover story.” Bill reached into his wheelbarrow and pulled out a roll of tape the color of buttercream. “So what’s the plan?” he asked. Molly breathed in. “Step one: we enter as party helpers. Step two: we compliment the decor loudly. Step three: we detach the presents from the ceremonial display of love.” Bill raised a finger. “And step four?” Molly’s grin sharpened. “We do not get distracted by the cupcakes. Cupcakes are bait.” Bill’s face lit up with alarm. “But cupcakes are… the whole point of joy.” “Exactly,” Molly said. “And joy is just a decoy for valuables.” Bill swallowed. “Fine. No cupcakes. I will resist the frosting siren.” “Say it like you mean it,” Molly told him. “I will resist the frosting siren,” Bill repeated, softer, like he was negotiating with a hostile ocean. From inside, a voice boomed, “Okay, everyone! Gather around! The presents are ready!” Bill jumped. “They’re early!” Molly pulled a tiny earpiece from her pocket and slapped it on her ear. “Then we move faster,” she said. “If we wait, the parents start hugging. Hugging creates alibis, and alibis are sticky.” Bill leaned toward the door. “Are we sure this is ethical?” Molly nudged him with her elbow. “Bill, we’re stealing presents from children. Ethical is already in a different zip code.” He exhaled and tried to look confident, which for Bill looked like a puppy attempting to read. “My zip code is… morally flexible.” Molly stood and pulled the door open with a click that sounded like a polite sneeze. “On my count,” she said. Bill inhaled sharply. “Count,” he urged. Molly raised two fingers. “Three. Two—” A party whistle shrieked inside, and the lights flickered as if the house itself had been surprised by crime. Bill froze. “Did the Wi-Fi just smell us?” Molly smiled. “Everything smells crime, Bill. Some things just don’t care.” “One,” she whispered, then slipped inside, Bill following like a worried thought. The living room erupted with bright streamers and a table piled with gift bags, boxes, and one suspiciously large present shaped like a robot with glitter eyes. A woman in a birthday sash turned slightly and smiled. “Oh! Hi there! You must be the helpers!” Bill, panicking but committed to character, bowed too deeply. “Yes! We are… professional appreciation consultants,” he said. Molly slid a clipboard into view. “We’re here to ensure every present is received and admired properly,” she added, voice warm as store-bought honey. The woman laughed. “That’s wonderful! Can you help hand them out?” Bill nodded vigorously. “Absolutely. Absolutely handing out,” he said. “No theft, just… distribution.” Molly looked at him, her eyes saying, Please don’t improvise your way into prison. Bill mouthed, I’m doing great. Molly stepped toward the tallest box. “Okay,” she whispered, “we grab the big one first.” Bill reached for the glittery robot gift, then stopped as a child pointed at him. “Are you the robot’s friend?” Bill’s smile cracked into sincerity. “I… I am its friend,” he said, quietly heartbreaking. Molly leaned in. “Bill,” she hissed, “you cannot make friends with the merchandise.” Bill swallowed. “But he looks lonely. He has only one glitter eye.” Molly sighed, then tore her gaze away. “We’ll take the present,” she said, “and we’ll leave the loneliness behind. Come on.” Bill slid the robot box into a large tote bag labeled “CRAFT SUPPLIES,” as if that would fool the universe. “Craft supplies,” he muttered, “are just presents with glue.” Molly grabbed another wrapped box. “Craft supplies don’t have names,” she said. “We do.” Bill stared at her. “Do we?” Molly lifted the tote and started for the hallway. “Not if we leave quickly,” she said, “before anyone asks for our signatures.” Bill followed. “And what about the clown?” Molly paused. “Which clown?” she asked. Bill pointed toward the dining room where the music jingle grew louder, then cut out abruptly. “The one who keeps saying my name like he knows it.” Molly’s jaw tightened. “Don’t worry,” she said. “If he says your name, we will pretend to be normal. Normal people steal nothing. They just… misplace joy.” Bill’s eyes widened. “I can misplace joy.” Molly shoved the door open, and the two thieves vanished into the hallway as the birthday party resumed, merrily unaware that its presents were about to learn a new meaning of being “enjoyed off-site.”
created_at
"2026-03-18T10:25:26.736Z"
3/18/2026, 10:25:26 AM
model
"openai/gpt-5.4-nano-20260317"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
3134
moderation_latency
(null)
generation_time
7060
tokens_prompt
77
tokens_completion
2012
native_tokens_prompt
66
native_tokens_completion
1615
native_tokens_completion_images
0
native_tokens_reasoning
80
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
0.00203195
router
(null)
provider_responses
0
endpoint_id
"0c835f2e-c18d-4e8c-b245-e1e3bd08b97f"
id
"resp_0286fc3a647d43fd0169ba7d96c9cc8194b2ed1a6a5c05e129"
is_byok
false
latency
178
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-1773829526-JwxXTWX3MfWCR7DCbNGe"
upstream_id
"resp_0286fc3a647d43fd0169ba7d96c9cc8194b2ed1a6a5c05e129"
total_cost
0.00203195
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
1103
82.05%
Dialogue to Total Word Ratio
Ratio: 48.01%, Deviation: 1.99%
neededClean
false
wordsTotal
1106
wordsDialogue
531
41.0252%