Run: 2026-03-18-01KM08KKXANTEMY8XYNM6QRXJB

Run Details

Duration:
2.6s
Cost:
$0.001453
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
75.16% Matches word count (details)
11.32% Dialogue to Total Word Ratio (details)
43.2361% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 200 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 crouched behind the bakery van, peering at the bungalow strung with paper lanterns and balloons. “You’re sure this is the right house?” Bill adjusted his black gloves. “The right house, the wrong morals. Yes.” “Excellent,” Molly said. “I brought lock picks, a flashlight, and a moral compass I can ignore.” From inside came the shriek of children, then a burst of tinny party music. Bill winced. “That sound alone should count as a security system.” “Makes the job easier,” Molly whispered. “They’ll be too busy frosting each other to notice us.” Bill lifted a brow. “That is a sentence no professional should ever say.” A clown-shaped sign read Happy Birthday, Tilly! “The presents are in the conservatory,” Molly said. “According to my contact.” “You have contacts now?” “I have standards. And a cousin who dates a balloon artist.” Bill leaned closer to the window. A mountain of wrapped gifts glowed beneath streamers. “That’s a lot of loot for one small criminal operation.” “Think of the resale value,” Molly said. “Think of the ribbons.” “Why the ribbons?” “Because,” she said, grinning, “we’re not monsters.” Bill sighed. “Fine. We go in quiet, grab the presents, and leave before anyone cries.” A child shouted, “Mum, the magician made the hamster disappear!” Molly stood. “Too late.”
created_at"2026-03-18T10:42:04.855Z" 3/18/2026, 10:42:04 AM
model"openai/gpt-5.4-mini-20260317"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency939
moderation_latency(null)
generation_time2409
tokens_prompt77
tokens_completion388
native_tokens_prompt66
native_tokens_completion312
native_tokens_completion_images0
native_tokens_reasoning0
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"
usage0.0014535
router(null)
provider_responses
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endpoint_id"9ee065b2-3d1c-43bc-bdd7-28af3b148282"
id"resp_0c41eda962fad4d20169ba817ceb4c81979193d8bc1bf191eb"
is_byokfalse
latency288
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-1773830524-95ZyW1weSK58m8MZWmQ6"
upstream_id"resp_0c41eda962fad4d20169ba817ceb4c81979193d8bc1bf191eb"
total_cost0.0014535
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"

Evaluation details

Result Evaluator Details Meta Data
75.16% Matches word count n/a
neededCleanfalse
words213
11.32% Dialogue to Total Word Ratio
Ratio: 62.15%, Deviation: 12.15%
neededCleanfalse
wordsTotal214
wordsDialogue133
43.2361%