Run: 2026-07-09-01KX40GP0Y5602JT7XFJQP87G3

Run Details

Duration:
31.0s
Cost:
$0.060615
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
99.92% Matches word count (details)
91.16% Dialogue to Total Word Ratio (details)
95.5370% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 500 word scene that has 30% 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
Rain glazed the cul-de-sac until every bungalow looked gift-wrapped in cellophane. From behind a hedge, Molly studied the cheerful yellow house where balloons bobbed above a banner reading HAPPY SIXTH, PERCY! The birthday boy’s parents were inside, herding shrieking guests toward cake, while their dog conducted patrols beneath the windows. Bill crouched beside her, wearing a caterer’s apron over his burglar’s black turtleneck, an ensemble that made him resemble a depressed pudding. In his hands he held a clipboard bearing the forged words, “Emergency Balloon Safety Inspector.” Molly had spent the afternoon perfecting it, misspelling safety to suggest authority and urgency. “Remember, we are not stealing presents,” Molly whispered. “We are rescuing them from children who will immediately smash, chew, or trade them for stickers. Morally, we are a recycling service. Practically, we take the television-shaped parcels, the electronics, and anything that rattles without sounding alive. You smile now, Bill, please.” Beyond the hedge, a tiny pirate in plastic boots burst through the front door carrying a wrapped dinosaur. Three fairies pursued him, screaming that he had stolen it first. Molly watched the dispute with professional admiration; chaos was the velvet curtain behind which every successful crime preferred to enter quietly. “Smile?” Bill said. “At a children’s party? They can smell fear, Molly. Last time I smiled at a toddler, she bit my thumb and called me a taxman. Also, why are we taking presents after the cake? Wouldn’t it be simpler to take cake, delicious and comes without batteries too?” Molly adjusted the fake inspector’s badge pinned to Bill’s apron. It featured a cartoon balloon wearing a hardhat, which she had borrowed from a municipal website devoted to playground regulations. “Cake is evidence,” she said, though she slipped a paper napkin into her pocket with the concentration of a jewel appraiser. Bill’s eyes drifted toward the window, where an enormous cardboard treasure chest sat beneath the present table. It was labeled PRIZE FOR BEST PIRATE, but its taped seams bulged with the unmistakable geometry of a games console. Somewhere inside, a child began practicing a recorder, producing notes like alarmed geese. “Fine,” he said. “But if a child asks why I am inspecting balloons, I will say one has been radicalized. That sounds official. Then we grab the chest, the parcels, and perhaps one slice of evidence. You distract the parents with regulations. I distract the dog with sausage. Everybody respects sausage, especially during criminal educational visits, honestly.” At that moment, the front door opened, and Percy’s mother appeared carrying a tray of iced cupcakes. She beamed at Bill, read his clipboard, and thanked him for coming so promptly. Behind her, the dog sniffed Bill’s trouser leg, sneezed, and sat down with the grave expectation of a pensioner. Molly emerged from the hedge with a smile so dazzling it could have licensed products. She took the tray, announced that all balloons required immediate evacuation, and guided the delighted mother indoors. Bill followed, clutching the clipboard. Above the doorway, the banner fluttered bravely.
created_at"2026-07-09T17:58:54.248Z" 7/9/2026, 5:58:54 PM
model"openai/gpt-5.6-terra-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency5581
moderation_latency(null)
generation_time30220
tokens_prompt77
tokens_completion965
native_tokens_prompt66
native_tokens_completion4030
native_tokens_completion_images0
native_tokens_reasoning3362
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
service_tier"default"
usage0.060615
router(null)
provider_responses
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endpoint_id"3cc89000-ae34-4dde-9c7d-5ce009c8af0b"
id"resp_06b13e0a3e6298ab016a4fe15e56a081968a3e5cbe5ffeb8dc"
is_byokfalse
latency191
model_permaslug"openai/gpt-5.6-terra-20260709"
provider_name"OpenAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1783619934-y6Ce1cuzlFhDsOlT2kYb"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1783619934-dwvFGgWaW3NnjjpJPyKy"
upstream_id"resp_06b13e0a3e6298ab016a4fe15e56a081968a3e5cbe5ffeb8dc"
total_cost0.060615
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
99.92% Matches word count n/a
neededCleanfalse
words503
91.16% Dialogue to Total Word Ratio
Ratio: 31.36%, Deviation: 1.36%
neededCleanfalse
wordsTotal507
wordsDialogue159
95.5370%