NC Bench
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Run: 2026-02-16-01KHK9YCG1JVCSW4VTW0FPM3H4
Run Details
Model:
GPT-5 Mini
Test:
Dialogue tags
Scenario:
Write 500 words with 30% dialogue
Duration:
1m
Cost:
$0.011883
Provider:
OpenAI
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 balanced a party hat on her head like a crown of low ambition. Bill unfolded a map of the living room like it was an archaeological site. They peered at the invitation taped to a lamp and at the schedule printed in glitter. Outside, a bouncy castle hummed with the energy of a small galaxy; inside, a pile of presents gleamed under a banner that said YOU'RE SIX. The plan required choreography, timing, and the kind of improvisation that only professional light-fingered romantics possess. Molly traced routes with a purple finger and pronounced every obstacle either a hazard or an opportunity. The cake table was the altar, the piñata a possible smoke screen, the parent herd a flock to be gently nudged aside using corny jokes and balloon science. Bill practiced his most distracted face and his least suspicious silhouette. He tried on a smile that could be described as apologetically sheepish. They rehearsed the handoff: Molly would pocket small packages while Bill engaged the adults in an emergency about a mysteriously missing napkin. They argued over the ethics of stealing from birthdays until they agreed that presents at a packed party functioned like communal surplus, a surplus they felt morally equipped to redistribute into their keeping. Their van waited around the corner, filled with decoy boxes, spare ribbons and a potato in case a solemn guard dog needed convincing that breakfast had already been taken. At one point Molly consulted a list titled Things That Could Go Wrong and found it suspiciously short; Bill added "clown with interpretive juggling" and underlined it, then crossed it out because underlining could escalate suspicion. The plan culminated in a timed distraction: a chorus of faux kids singing off-key while a single balloon drifted theatrically toward the chandelier. They practiced the getaway step, a shuffle designed to look like two relatives excusing themselves for a sudden craft project. As the first paper plate of cake slid into view beneath a truck of gift wrap, Molly clicked her tongue, and the heist of the party felt less like crime and more naughty theater. Molly: "Okay, Bill, listen. We creep in through the back door when the cake song hits zero, glide past the piñata, and exit with the loot before anyone notices the sugar coma." Bill: "What about the toddlers? They scream like foghorns trained by sharks." Molly: "Distract them with balloons. They can't resist helium science experiments." Bill: "You mean the helium trick from last time? The one that turned Mrs. Dunlop's poodle into a soprano?" Molly: "Exactly. Also, we swap genuine gifts with decoy gift boxes from the trunk. No tiny toy will be left behind." Bill: "And the cake?" Molly: "We leave a slice with a note: 'To whom it may cake.' That's irony and distraction in one." Bill: "Do we really have to use puns?" Molly: "Yes. Puns lower suspicion by at least twenty percent, statistically unverified but charming." Bill: "Fine. 'Operation Cakewalk' then. No musical chairs with clowns."
created_at
"2026-02-16T13:24:55.88422+00:00"
2/16/2026, 1:24:55 PM
model
"openai/gpt-5-mini-2025-08-07"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
4282
moderation_latency
(null)
generation_time
59676
tokens_prompt
77
tokens_completion
1664
native_tokens_prompt
66
native_tokens_completion
5933
native_tokens_completion_images
0
native_tokens_reasoning
5248
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
0.0118825
router
(null)
provider_responses
0
id
"resp_0bac60c2f1d125b10169931a6b1ba881968de37db99cebea2f"
status
200
is_byok
false
latency
140
endpoint_id
"c4f66d01-20b0-4c27-a225-438ea22fda43"
provider_name
"OpenAI"
model_permaslug
"openai/gpt-5-mini-2025-08-07"
api_type
"completions"
id
"gen-1771248235-9ZrJSyK7ioN84r84Aqet"
upstream_id
"resp_0bac60c2f1d125b10169931a6b1ba881968de37db99cebea2f"
total_cost
0.0118825
cache_discount
(null)
upstream_inference_cost
0
provider_name
"OpenAI"
Evaluation details
Result
Evaluator
Details
Meta Data
99.9840%
Matches word count
n/a
neededClean
false
words
502
91.7202%
Dialogue to Total Word Ratio
Ratio: 28.69%, Deviation: 1.31%
neededClean
false
wordsTotal
502
wordsDialogue
144
95.8521%