NC Bench
Overview
About
Tests
Models
Vendors
Run: 2026-02-16-01KHKATB0P7Z1ANDTEFBD2J5SA
Run Details
Model:
GPT-5.2
Test:
Dialogue tags
Scenario:
Write 500 words with 70% dialogue
Duration:
38.1s
Cost:
$0.022880
Provider:
OpenAI
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
“Tell me again why we’re robbing a children’s party,” Molly whispered, crouched behind a hedge shaped like something cheerful and judgmental. “Because,” Bill said, peering through the leaves, “presents are the purest form of currency. Also because you said, and I quote, ‘Adults buy better stuff for kids than for each other.’” “I said that while I was angry at my brother for giving me a scented candle called Ocean Regret.” “See? Motive.” Molly adjusted her black beanie, which was already collecting confetti like it had its own social life. “Bill, there are balloons. There’s a clown. There are… tiny people with sticky hands.” Bill nodded gravely. “The most unpredictable security system known to man.” “And you still want to go in there and take every present.” “Not every present,” Bill corrected. “Just the ones in boxes. Bags are chaos.” Molly stared at him. “That’s your ethical line? Boxes only?” “I’m a professional.” Molly squinted toward the backyard where a banner wobbled in the breeze. “It says HAPPY EIGHTH, TREVOR. Eight. He’s eight.” Bill licked his thumb and smoothed his eyebrow like that would make him less of a villain. “I didn’t pick the target. You picked the target.” “I picked it because you said we needed something ‘low-risk.’” “It is low-risk,” Bill said. “Kids don’t call the cops. They call their moms. Different response time.” Molly pinched the bridge of her nose. “We’re going to get chased by a woman in a cardigan holding juice boxes like weapons.” Bill’s eyes gleamed. “Juice boxes are, technically, little liquid grenades.” “Bill.” “Fine,” Bill said, softer. “We do it clean. In and out. No tears. No trauma.” “How do you steal a child’s birthday present without tears?” “You steal the big ones first,” Bill said. “The kid cries about a missing bicycle, not about missing socks.” Molly’s mouth fell open. “That’s worse.” Bill shrugged. “Look, I’ve been workshopping.” Molly leaned closer, lowering her voice. “What’s the plan, then? You going to rappel from the roof with a sack labeled ‘NOT SUSPICIOUS’?” Bill pointed at his duffel. “It’s labeled ‘YOGA.’ Nobody questions yoga.” “They should,” Molly muttered. “You don’t bend. You fold like cardboard.” Bill ignored that. “We go in as entertainment. People invite strangers if they’ve got a balloon animal in their hand.” “I can’t make balloon animals.” “You can,” Bill said. “You just make balloon… feelings.” Molly blinked. “Balloon feelings.” “Like,” Bill said, warming up, “a balloon of regret. A balloon of quiet resignation. A balloon of… a long-term lease.” Molly stared at him until his confidence wilted. “We’re thieves, Bill, not performance artists.” Bill pointed at the yard again. “Thieves are performance artists with worse press.” A shriek of laughter rose from the party, followed by the unmistakable chant of “TREVOR! TREVOR!” like the kid had a fan club and a mortgage. Molly whispered, “Listen to them. They’re so happy.” Bill cleared his throat. “Happiness is… temporary.” “So is guilt,” Molly said. “But it’s loud.” Bill hesitated. “Okay. Counterproposal.” “I’m listening,” Molly said, suspicious. “We don’t steal the presents,” Bill said quickly. “We… borrow them.” Molly’s eyes narrowed. “Borrow them for what?” “For,” Bill said, improvising, “quality control. We make sure there’s nothing dangerous. Like… kazoos. Or glitter.” Molly snorted. “Glitter is basically arson.” “Exactly,” Bill said. “We’re heroes.” Molly stared at the party, then at Bill. “Your hero plan is to walk in, confiscate the presents, and leave?” “Temporarily,” Bill said. “Then we return them.” “When?” Bill opened his mouth, then shut it. “Before college.” Molly exhaled. “Bill.” He slumped. “Fine. New plan.” “There’s a new plan every thirty seconds,” Molly said. Bill leaned in, earnest. “We go in, we help set up, we eat cake, and when everyone’s distracted, we steal something else.” Molly frowned. “Like what?” Bill looked down, embarrassed. “The clown’s shoes.” Molly blinked, then started to laugh—quiet at first, then shaking the hedge with it. “You want to steal the clown’s shoes.” “They’re huge,” Bill defended. “One shoe is basically a suitcase.” Molly wiped her eyes. “And what do we do with clown shoes, Bill? Flee the scene slowly?” Bill sighed. “I just… I wanted a win.” Molly watched Trevor open a present, his face lighting up like someone had handed him the sun in wrapping paper. She lowered her voice. “Here’s a win. We don’t ruin this.” Bill swallowed. “So we’re just… not doing the heist.” Molly stood up, brushing confetti off her hat like she was resigning from crime. “We’re doing a different heist.” Bill brightened. “Yeah?” Molly nodded toward the table. “We steal the leftover cake. That’s victimless.” Bill whispered, reverent, “Buttercream.” “And,” Molly added, “we take one present.” Bill’s grin snapped back. “I knew it.” Molly pointed a finger at him. “One present,” she said. “The one labeled ‘For Trevor’s Mom.’”
created_at
"2026-02-16T13:39:49.468777+00:00"
2/16/2026, 1:39:49 PM
model
"openai/gpt-5.2-20251211"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
9391
moderation_latency
(null)
generation_time
37741
tokens_prompt
77
tokens_completion
1515
native_tokens_prompt
66
native_tokens_completion
1626
native_tokens_completion_images
0
native_tokens_reasoning
401
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
0.0228795
router
(null)
provider_responses
0
id
"resp_0d829f6bdc4db1c20169931dff16688197932f77dedf00d96f"
status
200
is_byok
false
latency
158
endpoint_id
"f00142c2-6a93-49ce-9e36-5593b904ce3b"
provider_name
"OpenAI"
model_permaslug
"openai/gpt-5.2-20251211"
api_type
"completions"
id
"gen-1771249151-s5uLHBwodsSrgjHhgwgO"
upstream_id
"resp_0d829f6bdc4db1c20169931dff16688197932f77dedf00d96f"
total_cost
0.0228795
cache_discount
(null)
upstream_inference_cost
0
provider_name
"OpenAI"
Evaluation details
Result
Evaluator
Details
Meta Data
0.0000%
Matches word count
n/a
neededClean
false
words
803
4.5619%
Dialogue to Total Word Ratio
Ratio: 62.14%, Deviation: 7.86%
neededClean
false
wordsTotal
803
wordsDialogue
499
2.2809%