Run: 2026-03-09-01KKAC0SKNB3C24SPEX8SCDGGT

Run Details

Duration:
26.4s
Cost:
$0.030495
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
100.00% Dialogue to Total Word Ratio (details)
99.9995% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 10% 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 studied the suburban fortress from behind a hedge clipped into the shape of a dinosaur with asthma. Balloons bobbed over the fence, a hired magician unloaded rabbits, and somewhere inside, a chorus of sugar-fueled children screamed with the confidence of tiny emperors. Bill adjusted his velvet blazer, which made him look less like a master thief and more like a disappointed cruise singer. Their target was not jewels, art, or state secrets, but a mountain of brightly wrapped presents stacked beside the cake table like tribute to a very short king. "Bill, masks on. Smile cheerful like uncles, not burglars." "Molly, I can juggle. Children trust jugglers. Adults fear taxes already." He produced three oranges from his pockets and began practicing with the solemnity of a priest blessing produce. Molly checked the timetable: clown at two, cake at three, sugar crash at four. During Happy Birthday, they would drift to the gift table, load sacks disguised as pony piƱatas, and vanish through the side gate before anyone noticed missing loot or suspiciously mobile ponies. It was, Molly thought, a flawless operation, provided Bill stopped dropping oranges on his shoes and the magician didn't recognize them from the incident in Brighton.
created_at"2026-03-09T22:38:24.897Z" 3/9/2026, 10:38:24 PM
model"openai/gpt-5.4-20260305"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency24777
moderation_latency(null)
generation_time26223
tokens_prompt77
tokens_completion696
native_tokens_prompt66
native_tokens_completion2022
native_tokens_completion_images0
native_tokens_reasoning1764
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"
usage0.030495
router(null)
provider_responses
0
endpoint_id"9ff5625c-403f-4d7f-b895-58ac7295062c"
id"resp_088eae72240d48490169af4be0fd888195bcaffee761e7832d"
is_byokfalse
latency179
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-1773095904-RIIZsIcCvuSbOnLDTfxs"
upstream_id"resp_088eae72240d48490169af4be0fd888195bcaffee761e7832d"
total_cost0.030495
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
100.00% Dialogue to Total Word Ratio
Ratio: 9.90%, Deviation: 0.10%
neededCleanfalse
wordsTotal202
wordsDialogue20
99.9995%