Run: 2026-03-18-01KM08RDE6XZAWFTBV72WBFRZ9

Run Details

Duration:
7.3s
Cost:
$0.001761
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
0.00% Matches word count (details)
3.93% Dialogue to Total Word Ratio (details)
1.9643% Overall

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

AI
“Okay, Bill,” Molly whispered, crouched behind a potted palm like it was a sacred shrub, “you sure the address is right? Because I’m not getting caught by a clown with a balloon animal license.” Bill leaned toward the fence, peering through the decorative lattice. “It’s right. Look, the mailbox says ‘Parker Birthday Bash.’ The letterhead is literally covered in stickers. That’s how you know it’s serious.” Molly adjusted her ski mask. “I’m not thrilled about the stickers.” “You’ll be thrilled when we leave with a wagon full of iPads and a suspicious amount of socks,” Bill said. “Now, do you have the frosting-scented decoy bag?” “I have the frosting-scented decoy bag,” Molly replied. “It’s in my pocket and it smells like—” she made a face “—someone deep-fried happiness.” Bill nodded solemnly. “Perfect. If we drop it, the party guests will chase it like it’s a unicorn with sprinkles.” Molly smirked. “Unicorns are never that cooperative.” A distant laugh echoed from inside the house. Somewhere, a child shrieked with joy, then immediately asked, “Is it cake time yet?” Bill grabbed the side gate handle. “We move in when they’re screaming. Screaming is cover. It’s like tactical theater.” Molly stopped him with a gloved hand. “No heroics. We’re professionals. We whisper, we plan, we take the presents. We do not—” Bill slid the lock with a key that definitely had a suspiciously cartoonish bow on it. “We do not get licked by a dog wearing a bandana that says ‘FRIENDS.’ Correct.” “You’re the one who bought the dog bandana,” Molly hissed. “It was on sale,” Bill said, stepping through. “Now come on. Their schedule is our weakness. Kids don’t follow schedules unless the schedule is shaped like a drum.” Molly followed, eyes scanning the yard. “Where’s the motion sensor? The brochure said there would be motion sensors.” Bill pointed at the lawn ornament: a plastic frog wearing tiny sunglasses. “It’s right there.” Molly stared. “That’s a frog.” “It’s a security frog,” Bill said. “It croaks when it senses movement.” Molly looked at the frog. The frog sat silently, like a creature waiting for its moment. “I hate that it’s confident.” Bill shrugged. “Don’t move. If it croaks, we pivot to distraction.” Molly inhaled slowly. “Bill, I feel like my entire future is riding on the frog’s emotional stability.” Bill crouched. “I promise the frog is chill.” The frog suddenly blinked and croaked, loud as a megaphone. “RIBBIT!” Molly froze. “You said chill.” Bill waved his hands. “No no no—this is part of the plan!” Molly snapped, “What plan? The plan where you lie to amphibians?” Bill yanked the decoy bag from his pocket and tossed it toward the patio. “Follow the frosting!” There was a brief pause, then a stampede of tiny feet. “Frosting!” a child shouted. “Sprinkly!” another kid yelled. Molly covered her ears as the backyard erupted into chaos. “Bill, I can’t believe we’re using baked goods as a diversion for children.” Bill sprinted toward the sliding door. “It’s a classic! Heists are just… sugar with consequences!” Molly slapped the door sensor pad with her knuckle. “Now we need to be quick. The presents are under the tree. I saw them through the window.” Bill pulled a small bag of foam wedges from his jacket. “I’ll lift the door gently, like a polite ghost.” Molly smoothed her gloves. “Ghosts are not polite.” Bill grinned. “This one is. I named him Gerald.” “Bill, we are not naming the tools,” Molly said, backing up to watch for adults. “Adults will ask questions. Questions are dangerous.” Bill worked the wedges. “Adults ask questions like, ‘Why is there a frog alarm?’ And I’ll say, ‘The frog is just vibing.’” Molly hissed, “We can’t say ‘vibing’ to a parent.” Bill opened the door a crack. Cold air slid in. “Then I’ll say, ‘The frog is on a mission.’” Molly leaned closer. “Okay. Remember: grab the presents, stack them, leave no trace. No fingerprints. No frosting scent on the wrong person.” Bill crawled through. “I’m leaving no trace.” Molly followed, voice tense. “Bill. Bill, what is that in your hand?” Bill held up a gift bag. “This one’s cute.” Molly stared at it. “Cute? That’s not cute. That’s a tiny drum kit. For kids.” Bill nodded. “Yes. And it’s on the ‘toys’ list. We steal all presents.” Molly pointed at the tag. “That’s from ‘Aunt Lila.’ She’s going to cry.” Bill paused. “So? Crying means value.” Molly’s eyes narrowed. “You’re saying this like it’s economics.” Bill shrugged again. “It’s all economics. It’s just… louder.” Molly grabbed a box shaped like a scooter and slid it into their sack. “Fine. But if anyone cries, we cry silently and then we run faster.” Bill zipped the sack half-full. “Deal. Now, where are the big ones? The ones that make noise when shaken?” Molly whispered, “The remote-control cars are in the corner.” Bill grinned. “Cars. Excellent. We can’t wait to upgrade our hobby of stealing.” Molly shot him a look. “We’re not upgrading. We’re escaping.” Bill reached for the corner pile. “Same thing. Escape sounds more poetic.” Molly swallowed a laugh. “Just don’t set off the menor—” A child inside shouted, “MOLLY? BILL?”
created_at"2026-03-18T10:44:42.07Z" 3/18/2026, 10:44:42 AM
model"openai/gpt-5.4-nano-20260317"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3978
moderation_latency(null)
generation_time6579
tokens_prompt77
tokens_completion1629
native_tokens_prompt66
native_tokens_completion1398
native_tokens_completion_images0
native_tokens_reasoning115
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
usage0.0017607
router(null)
provider_responses
0
endpoint_id"0c835f2e-c18d-4e8c-b245-e1e3bd08b97f"
id"resp_034c48ab017cc8bf0169ba821a236c8190a7c4de70511bab90"
is_byokfalse
latency189
model_permaslug"openai/gpt-5.4-nano-20260317"
provider_name"OpenAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer(null)
api_type"completions"
id"gen-1773830682-Bij7r9Di99RLd8d7W9gW"
upstream_id"resp_034c48ab017cc8bf0169ba821a236c8190a7c4de70511bab90"
total_cost0.0017607
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"

Evaluation details

Result Evaluator Details Meta Data
0.00% Matches word count n/a
neededCleanfalse
words865
3.93% Dialogue to Total Word Ratio
Ratio: 61.95%, Deviation: 8.05%
neededCleanfalse
wordsTotal870
wordsDialogue539
1.9643%