Run: 2026-03-09-01KK9QJNWN2XE19HCX54AHMMGE

Run Details

Duration:
34.5s
Cost:
$0.021975
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
99.54% Dialogue to Total Word Ratio (details)
99.7682% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 90% 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
“Children’s parties,” said Molly, “are basically tiny banks with frosting.” “Banks don’t sing at you,” Bill said. “Exactly why nobody suspects a robbery.” “We’re robbing seven-year-olds, Mol.” “We’re liberating unappreciated plastic from sticky custody.” “Sticky custody is still custody.” “Listen. Balloon arch at the front, magician in the garden, sugar crash by three. We go in as face painters, sweep the gift table, and vanish before the clown starts making poodles.” “I hate clowns. They fold judgment into balloons.” “Focus. You distract the mums with your tragic moustache.” “It’s not tragic; it’s continental.” “It’s trembling.” “That’s strategy. It says, ‘Trust me, I know glitter.’” Bill adjusted his clip-on bow tie. “What about the children?” he asked. “Easy. Promise temporary tattoos. Nothing clears a room faster than a paper tiger and parental regret.” “And the presents?” “Into the pram.” “The giant pink pram?” “No one searches a giant pink pram, Bill. That’s law.” “What if the birthday boy notices?” “Then we hand him a kazoo and point at the cake.” “You’ve done this before.” “Professionally? Never. Socially? Twice.” “That explains the confetti in your shoes.” “Also,” said Molly, “if things go wrong, cry and say you’re the magician’s accountants. From Belgium.”
created_at"2026-03-09T16:41:10.82Z" 3/9/2026, 4:41:10 PM
model"openai/gpt-5.4-20260305"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency27653
moderation_latency(null)
generation_time34322
tokens_prompt77
tokens_completion618
native_tokens_prompt66
native_tokens_completion1454
native_tokens_completion_images0
native_tokens_reasoning1150
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"
usage0.021975
router(null)
provider_responses
0
endpoint_id"9ff5625c-403f-4d7f-b895-58ac7295062c"
id"resp_045d8510a253fca60169aef826e5b48190aaf3ddfacbeb07f5"
is_byokfalse
latency187
model_permaslug"openai/gpt-5.4-20260305"
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-1773074470-8kgUcKXWXGbTWJUFc3Df"
upstream_id"resp_045d8510a253fca60169aef826e5b48190aaf3ddfacbeb07f5"
total_cost0.021975
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"

Evaluation details

Result Evaluator Details Meta Data
100.00% Matches word count n/a
neededCleanfalse
words200
99.54% Dialogue to Total Word Ratio
Ratio: 92.61%, Deviation: 2.61%
neededCleanfalse
wordsTotal203
wordsDialogue188
99.7682%