Run: 2026-03-09-01KKABW8CF82GPMVPEY5W219B8

Run Details

Duration:
25.5s
Cost:
$0.015660
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
0.00% Matches word count (details)
0.01% Dialogue to Total Word Ratio (details)
0.0041% 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

AI
Molly flattened the crinkled invitation against the café table with the solemnity of a general smoothing a battle map. Balloons, in primary colors, cavorted around the border. In the center, in cherubic script, it announced that little Oliver Finch was turning seven and that all adventurers were welcome at two o’clock sharp. Bill peered over his teacup as if expecting the paper to bite him. “It’s a children’s party,” he said. “It’s a supply depot,” said Molly. “With jelly.” “With presents.” “There’ll be parents.” “There are always guards at the important jobs.” Bill scratched his ear. “I was hoping, at my age, to move away from crimes involving face paint.” Molly tapped the invitation. “Look at the scale of it. Twenty-three children invited. Which means, conservatively, eighteen presents. Plush toys, electronics, branded plastic nonsense, cash in cards from unimaginative uncles. It’s a gold mine with frosting.” Bill considered this. “Children are unpredictable.” “So are Dobermans, and you got past three of those in Croydon.” “They had clearer motives.” Outside, rain needled the window. Inside, the café smelled of burnt toast and aspirations gone stale. Molly drew a floor plan on the back of a napkin: garden gate, conservatory, dining room, gift table. Bill watched her with the expression of a man witnessing either genius or a mild breakdown. “We enter separately,” Molly said. “You go in as entertainment.” Bill nearly inhaled a scone crumb. “Entertainment?” “You’ve got the shoes for it.” “My shoes are burgundy.” “Exactly. Harlequin adjacent.” “I will not be a clown, Molly.” “No one said clown. Magician.” “I know three card tricks.” “These are six-year-olds.” “Seven-year-olds, according to the intelligence.” “Seven-year-olds are drunk on sugar and poor judgment. You flourish a deck, pull a coin from behind someone’s ear, and they’ll declare you Merlin.” Bill looked wounded. “I have standards.” “You steal commemorative spoons for a living.” “And I do it with dignity.” Molly ignored that. “I’ll go in as the face painter.” “Can you paint faces?” “I can paint anything. Once I made a customs officer believe my suitcase lining was floral.” “That wasn’t painting, that was lying in color.” “An underrated art.” She slid the napkin to him. “At 2:20, after cake but before organized chaos peaks, the presents will still be stacked by the sideboard. Parents will be distracted taking photographs of children wearing paper crowns and expressions of betrayal.” Bill frowned. “What’s my objective?” “Diversion. You announce the Grand Vanishing Biscuits Trick.” “I don’t have a Grand Vanishing Biscuits Trick.” “You do now.” “And while I’m inventing that?” “I bag the presents, pass them through the conservatory window, and load the car.” Bill leaned back. “There is one glaring flaw.” “Only one? Promising.” “What if a child asks me to make a balloon dog?” “Tell them you specialize in invisible animals.” “That’s monstrous.” “It’s imaginative. Parents love imaginative.” A waitress arrived with their bill and a look suggesting she had heard enough to alert someone, though perhaps not in time. Molly smiled sweetly until the woman retreated. Bill lowered his voice. “Suppose there’s a bouncy castle.” Molly blinked. “What about it?” “I don’t trust structures that wheeze.” “You’re not stealing the bouncy castle.” “No, but it changes the terrain. Children become airborne. Sight lines collapse.” Molly folded the invitation and tucked it into her coat. “Fine. We adjust for bounce.” “I hate jobs with bounce.” “You hate cardio.” “I hate variables.” She stood, all brisk purpose and cheap perfume. “Then think of this as static theft in a dynamic environment.” “That is not comforting.” “Bill, listen. We are not robbing a bank. We are relocating brightly wrapped assets from one venue to another before they can be smeared with chocolate.” “When you put it like that, it sounds almost noble.” “It is noble. Half those children won’t even write thank-you notes.” Bill sighed, stood, and drained his tea like a condemned man finishing a medicinal tonic. “If I end this day with glitter on my person,” he said, “I’m charging extra.” Molly grinned. “If you end the day without glitter on your person, I’ll assume you lacked commitment.” They stepped into the rain together, two professionals on their way to dishonor, while somewhere across town a mother tied ribbons onto a gate and unknowingly prepared the most cheerfully decorated crime scene in North London.
created_at"2026-03-09T22:35:56.183Z" 3/9/2026, 10:35:56 PM
model"openai/gpt-5.4-20260305"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3025
moderation_latency(null)
generation_time25413
tokens_prompt77
tokens_completion1454
native_tokens_prompt66
native_tokens_completion1033
native_tokens_completion_images0
native_tokens_reasoning44
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"
usage0.01566
router(null)
provider_responses
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endpoint_id"9ff5625c-403f-4d7f-b895-58ac7295062c"
id"resp_0d4bd8d75ed7fcf10169af4b4c40548190b5aa6fd9381be2fb"
is_byokfalse
latency220
model_permaslug"openai/gpt-5.4-20260305"
provider_name"OpenAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
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api_type"completions"
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upstream_id"resp_0d4bd8d75ed7fcf10169af4b4c40548190b5aa6fd9381be2fb"
total_cost0.01566
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"

Evaluation details

Result Evaluator Details Meta Data
0.00% Matches word count n/a
neededCleanfalse
words721
0.01% Dialogue to Total Word Ratio
Ratio: 63.72%, Deviation: 13.72%
neededCleanfalse
wordsTotal725
wordsDialogue462
0.0041%