Run: 2026-07-09-01KX41BDH1129KF0B0TND2JRJF

Run Details

Duration:
31.9s
Cost:
$0.064260
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
85.86% Dialogue to Total Word Ratio (details)
92.9304% 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
At 2:17 on Saturday afternoon, Molly and Bill crouched behind a municipal hedge across from the Bellwether house, where eight sugar-fueled children were celebrating Milo Bellwether's seventh birthday. Molly had a clipboard, a black turtleneck, and the calm expression of a woman who had once stolen a diamond necklace while disguised as a coat rack. Bill wore camouflage, although it was printed with cartoon ducks, because the only dark clothing he owned had been borrowed by a funeral magician. “The children will be distracted by the magician at two-thirty. He makes a rabbit disappear and looks under chairs. That is our window.” Inside, a pink balloon arch guarded the front door. Beyond it, parents chatted with paper cups in hand, displaying the universal exhaustion of adults trapped near a hired entertainer. “I dislike windows. Windows mean climbing, and climbing means knees. Why can't we enter normally, wearing paper hats and carrying casserole?” A man in a purple cape stumbled past the window, dragging a reluctant white rabbit and apologizing to it. The rabbit appeared to be winning the argument. “Because normal guests bring presents, Bill. We are removing them. Also, your casserole contains lock picks, three sausages, and a ferret.” At the curb sat their escape vehicle: a laundromat cart fitted with bicycle wheels, a brass bell, and a cardboard sign reading FRESH LINENS. Bill had painted the sign himself, then added a comma after “fresh” because he believed punctuation reassured witnesses. “Professor Mustard is a trained professional. He knows when a situation requires teeth.” Molly opened the clipboard. Its page contained a hand-drawn map, a timetable, and a list titled “Possible Obstacles,” beneath which Bill had written: “children, clowns, moral consequences.” She crossed out the last item with a firm, professional stroke. “The back gate is unlatched. We cross the garden, pass the inflatable pirate ship, and empty the gift table into the laundry cart. No teeth, no sausages, no improvising.” From the garden came a shriek, followed by applause. The magician had apparently produced a pigeon from a birthday cake. Several children chased it through the flowerbeds, while one solemn girl used a plastic telescope to inspect the sky for additional pastry birds. “What about gratitude? Children receive gifts with gratitude. Should we leave a note? Perhaps something educational, like, ‘Thank you for the drones; your future is in accounting.’” Bill's duck camouflage rustled as he lifted Professor Mustard from the casserole dish. The ferret wore a tiny burglar's mask made from an athletic sock and looked deeply offended by the assignment. “No notes. Last time you signed one ‘The Gentleman Crumb,’ and the police spent a week interviewing bakers.” Before Bill could answer, the front door opened. A small boy in a gold crown stood on the porch, holding a foam sword and staring directly at them. Behind him, the magician's rabbit bounded through the hall with a wrapped robot clamped beneath each ear. The boy pointed gardenward. Molly briskly took Bill's elbow and steered him inside, grinning.
created_at"2026-07-09T18:13:30.279Z" 7/9/2026, 6:13:30 PM
model"openai/gpt-5.6-terra-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2994
moderation_latency(null)
generation_time31304
tokens_prompt77
tokens_completion2006
native_tokens_prompt66
native_tokens_completion4273
native_tokens_completion_images0
native_tokens_reasoning3624
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"
usage0.06426
router(null)
provider_responses
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endpoint_id"3cc89000-ae34-4dde-9c7d-5ce009c8af0b"
id"resp_0f56b6acfbed8b95016a4fe4ca56e08195ac73f7c6d71d6a7e"
is_byokfalse
latency215
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-1783620810-DsqaBSz9usGx9k3RVfU2"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1783620810-CA4MyUPU6Rn2XxkG9ftm"
upstream_id"resp_0f56b6acfbed8b95016a4fe4ca56e08195ac73f7c6d71d6a7e"
total_cost0.06426
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
100.00% Matches word count n/a
neededCleanfalse
words501
85.86% Dialogue to Total Word Ratio
Ratio: 31.75%, Deviation: 1.75%
neededCleanfalse
wordsTotal504
wordsDialogue160
92.9304%