Run: 2026-03-18-01KM0A43DNM2FW2CMXSG2EJ94W

Run Details

Duration:
17.1s
Cost:
$0.002366
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
60.67% Dialogue to Total Word Ratio (details)
80.3333% 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, are we really doing the ‘kidnap the gifts’ routine again?" Molly whispered. "Yep," Bill said, "because adults buy boring stuff and children buy glittery chaos." "That’s not a routine," Molly argued, "that’s a lifestyle of petty retail thievery." "Language," Bill sighed. "We call it festive reallocation." "Festive reallocation sounds like a tax form," Molly said. "Hush. The party starts in ten minutes and the clown is already late." "I hate clowns," Bill admitted. "They smell like optimism and cheap eyeliner." Molly leaned closer. "Then we wear capes and become… very suspicious invisible adults." "Invisibility is expensive," Bill said, patting his empty pockets. "We’ll improvise." "With what, magic?" "With snacks," Bill said. "Kids love snacks more than morals." "That is depressingly true," Molly said. "Okay, you distract them with balloon animals." "I’m not approved for balloon duty," Bill protested. "Last time I tried, a giraffe unionized." Molly grinned. "Fine. You distract. I grab presents, and we leave before someone asks our age." "What if they ask?" Bill asked. "We’ll say we’re… ageless," Molly replied. "Like villains." "Villains with receiptless joy," Bill said. "Exactly. Now shush—someone’s coming." "And if the doorbell rings," Molly murmured, "you tell them you’re the present delivery!"
created_at"2026-03-18T11:08:33.604Z" 3/18/2026, 11:08:33 AM
model"openai/gpt-5.4-nano-20260317"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency16521
moderation_latency(null)
generation_time16810
tokens_prompt77
tokens_completion897
native_tokens_prompt66
native_tokens_completion1882
native_tokens_completion_images0
native_tokens_reasoning1555
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"
usage0.0023657
router(null)
provider_responses
0
endpoint_id"0c835f2e-c18d-4e8c-b245-e1e3bd08b97f"
id"resp_09820ddfb63fcf010169ba87b1af2c819495d0dff823376021"
is_byokfalse
latency250
model_permaslug"openai/gpt-5.4-nano-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-1773832113-kAZB3lsUoi5K4OqXgQlB"
upstream_id"resp_09820ddfb63fcf010169ba87b1af2c819495d0dff823376021"
total_cost0.0023657
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"

Evaluation details

Result Evaluator Details Meta Data
100.00% Matches word count n/a
neededCleanfalse
words201
60.67% Dialogue to Total Word Ratio
Ratio: 81.59%, Deviation: 8.41%
neededCleanfalse
wordsTotal201
wordsDialogue164
80.3333%