Run: 2026-03-09-01KKACDZG6XVT859PGQVT8WDX9

Run Details

Duration:
21.6s
Cost:
$0.022635
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
92.54% Dialogue to Total Word Ratio (details)
96.2705% 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 peered over the hedge at the riot of balloons, wobbling like nervous witnesses in the dusk. Bill adjusted his tie, which was printed with tiny ducks and somehow made him look more criminal. “Children’s parties,” Molly whispered. “Nature’s cruelest buffet.” “Focus,” Bill said. “We’re here for presents, not jelly.” “I can multitask. How many tiny aristocrats are inside?” “Eight, possibly nine if the birthday boy has a gloomy cousin.” “And the clown?” “Already defeated by face paint and his own despair.” Molly grinned. “Good. I hate professionals.” A shriek rose from the garden, followed by the unmistakable thud of a piñata meeting its destiny. Bill flinched. “We slip in, smile strangely, and leave richer,” he said. “With what cover?” “I’m the magician.” “You can’t do magic.” “I can make credibility disappear.” Molly straightened her cardigan. “Fine. I’m the aunt from Leeds.” “You’ve never been to Leeds.” “Exactly. I’ll be mysterious.” They crept toward the gate as a confetti cannon fired early, showering Bill in glitter. “Now I look festive,” he muttered. “No,” Molly said, patting his shoulder. “Now you look arrestable.” Molly smirked. “Cheer up. If we fail, there’s always cake, and prison parties are famously underdecorated too.”
created_at"2026-03-09T22:45:36.912Z" 3/9/2026, 10:45:36 PM
model"openai/gpt-5.4-20260305"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency20881
moderation_latency(null)
generation_time21166
tokens_prompt77
tokens_completion507
native_tokens_prompt66
native_tokens_completion1498
native_tokens_completion_images0
native_tokens_reasoning1193
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"
usage0.022635
router(null)
provider_responses
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endpoint_id"9ff5625c-403f-4d7f-b895-58ac7295062c"
id"resp_0b5dc00ef38f1a740169af4d91000881909235f290885e767e"
is_byokfalse
latency220
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-1773096336-kXbdoDCow8pl63lj2VRE"
upstream_id"resp_0b5dc00ef38f1a740169af4d91000881909235f290885e767e"
total_cost0.022635
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"

Evaluation details

Result Evaluator Details Meta Data
100.00% Matches word count n/a
neededCleanfalse
words199
92.54% Dialogue to Total Word Ratio
Ratio: 55.28%, Deviation: 5.28%
neededCleanfalse
wordsTotal199
wordsDialogue110
96.2705%