Run: 2026-03-18-01KM09R3STXRNK4G9Z6F71Z0NT

Run Details

Duration:
3.0s
Cost:
$0.001566
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
99.92% Matches word count (details)
36.79% Dialogue to Total Word Ratio (details)
68.3535% 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
“Bill, tell me again why we’re robbing a children’s party.” “Because, Molly, adults lock their wallets, children leave loot under wrapping paper.” “You call a bicycle and three dinosaurs ‘loot’?” “In our line of work, yes.” “I thought our line of work was tasteful burglary, not festive vandalism.” “Festive vandalism is just burglary with streamers.” “Mmm. Any security?” “Two parents, one clown, and a bouncy castle.” “That’s not security.” “It is if the clown is aggressive.” “Makes sense. What’s the plan?” “We enter as entertainers.” “I’m not entertaining anyone.” “You can juggle.” “I can juggle apples.” “Children love apples.” “Children also bite.” “Then keep your distance. I’ll distract the adults.” “How?” “I’ll say we’re from the party-planning committee.” “Very convincing.” “I’ll wear a tie.” “You don’t own a tie.” “I’ll borrow one from the lost-and-found of society.” “Bill, are you sure we can carry all the presents?” “Of course.” “Through the hedge?” “Through the hedge.” “Won’t the wrapping paper rattle?” “Not if we stack the teddy bears on top.” “And if we get caught?” “Smile. No one suspects joy.” “You’re disgusting.” “Thank you. Ready?” “As ready as a thief can be.” “Then let’s go ruin childhood, elegantly.”
created_at"2026-03-18T11:02:00.776Z" 3/18/2026, 11:02:00 AM
model"openai/gpt-5.4-mini-20260317"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2635
moderation_latency(null)
generation_time2838
tokens_prompt77
tokens_completion553
native_tokens_prompt66
native_tokens_completion337
native_tokens_completion_images0
native_tokens_reasoning35
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"
usage0.001566
router(null)
provider_responses
0
endpoint_id"9ee065b2-3d1c-43bc-bdd7-28af3b148282"
id"resp_06a23b7e66c12ade0169ba8628d4048197894d7eaa3a69a3c2"
is_byokfalse
latency170
model_permaslug"openai/gpt-5.4-mini-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-1773831720-nJbanEsBKEZW3MsZqPVV"
upstream_id"resp_06a23b7e66c12ade0169ba8628d4048197894d7eaa3a69a3c2"
total_cost0.001566
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"

Evaluation details

Result Evaluator Details Meta Data
99.92% Matches word count n/a
neededCleanfalse
words197
36.79% Dialogue to Total Word Ratio
Ratio: 100.00%, Deviation: 10.00%
neededCleanfalse
wordsTotal200
wordsDialogue200
68.3535%