Run: 2026-03-09-01KKAC0ZG66SBC6BDS8FGMG2TE

Run Details

Duration:
19.3s
Cost:
$0.017370
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
66.12% Dialogue to Total Word Ratio (details)
83.0609% 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
“Molly, this is our Mona Lisa,” Bill whispered. “Bouncy castle, distracted parents, and enough gift bags to retire on jelly beans.” “Bill, nobody retires on jelly beans.” “Metaphorically. We slip in as magicians, wave a wand, and vanish with the loot.” “You can’t do magic.” “I can do confidence, which is basically magic with pockets.” “The clown worries me.” “Every clown worries everyone. That’s his camouflage.” “What about the children?” “Short, sticky witnesses. We dazzle them with balloons.” “I hate balloons. They squeak like guilty shoes.” “Then face paint. No child suspects a woman with a butterfly on her cheek.” “I’m not being a butterfly.” “Dragon, then. Very intimidating.” “Bill, these presents are for a six-year-old.” “Exactly. Tiny electronics, premium chocolate, possibly cash in cards from lazy uncles.” “And the dog?” “We bribe him with sausage.” “What if there are two dogs?” “Then more sausage. Molly, this is logistics, not philosophy.” “If a child asks why we’re taking the presents?” “I’ll say, ‘Quality control.’” “And if a parent asks?” “You say, ‘We’re with entertainment.’” “What entertainment?” “Extremely disappointing magic.” Molly sighed. “Fine. But if I get glitter on my shoes, we’re leaving the television and absolutely not stealing the piñata.”
created_at"2026-03-09T22:38:30.928Z" 3/9/2026, 10:38:30 PM
model"openai/gpt-5.4-20260305"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency17227
moderation_latency(null)
generation_time19114
tokens_prompt77
tokens_completion390
native_tokens_prompt66
native_tokens_completion1147
native_tokens_completion_images0
native_tokens_reasoning846
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"
usage0.01737
router(null)
provider_responses
0
endpoint_id"9ff5625c-403f-4d7f-b895-58ac7295062c"
id"resp_0fbd6f3638d8d6c40169af4be6fe788196b9e4e84cef8d66d4"
is_byokfalse
latency232
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-1773095910-9VDDLXLCUmk33N6ss8OJ"
upstream_id"resp_0fbd6f3638d8d6c40169af4be6fe788196b9e4e84cef8d66d4"
total_cost0.01737
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
66.12% Dialogue to Total Word Ratio
Ratio: 98.02%, Deviation: 8.02%
neededCleanfalse
wordsTotal202
wordsDialogue198
83.0609%