Run: 2026-07-09-01KX40RVZVQJ7J9FWJJ8CRWK56

Run Details

Duration:
53.6s
Cost:
$0.140550
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
99.56% Dialogue to Total Word Ratio (details)
99.7794% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 500 word scene that has 70% 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 polished the bakery window as Molly spread a crayon map across the counter. Bill squinted at its balloons, dragon cake, and ominously cheerful clown. “At three o’clock, the children begin musical statues. At three-oh-five, the parents argue about whether Jasper moved. That’s our window.” Molly tapped the gift table with a blue crayon. “Our window is five minutes wide and guarded by a clown. Molly, I was bitten by one. Emotionally, I never recovered.” Bill shuddered so violently that a tray of buns rattled. “He didn’t bite you. He made balloon trousers for you, and you sat on them. The bang startled him into dropping his teeth.” “False teeth are still teeth. Also, those trousers were structurally unsound and surprisingly judgmental around the hips.” Molly circled the back door, then drew a moustache on the clown. “We enter as entertainers, wheel every present into our van, and leave before the candles are lit. Simple, elegant, educational.” “Entertainers doing what? My juggling resembles an argument with gravity, and your magic act once produced a pigeon that refused to acknowledge you.” Molly folded her arms. Thunder applauded. “We’ll be gift inspectors. Parents adore officials, especially officials carrying clipboards and looking disappointed by ribbon quality.” “Children don’t adore officials. Children smell uncertainty. Last Christmas, a six-year-old interrogated me until I confessed to borrowing your hairbrush.” Molly stared at his shiny bald head. Bill carefully adjusted his hat. “That confession raises several questions, none relevant to crime.” “What if we crawl through the bouncy castle tunnel? We emerge beside the presents, unseen, like ninjas with static electricity.” She considered this, chewing the crayon until blue flecked her smile. “The tunnel ends in the ball pit. We’d surface covered in plastic balls, juice, and whatever children mysteriously secrete.” “Confidence. Children secrete confidence. And jam, apparently, even when no jam has been served.” A timer pinged. Both thieves jumped; cupcakes emerged. “Backup plan: we pose as responsible adults, walk in through the front, compliment the decorations, and take only presents labeled ambiguously.” “Ambiguously? They all say happy birthday, Sophie. Unless one says happy birthday, strangers, please steal this.” Molly lifted a cupcake and inspected its pink icing like forensic evidence. “Fine. We take the untraceable ones: art supplies, socks, books. We leave anything personalized, noisy, or morally complicated.” “Morally complicated? We’re robbing children. The morality has already removed its shoes, telephoned a cab, and gone home.” Rain filled the silence. Molly rolled up the map. “You’re right. New plan: we break in, add two presents to every pile, and steal the clown’s false teeth.” “At last, a heist with standards. What presents?” Molly opened the cupboard, revealing forty knitted octopuses in tiny hats. “My aunt’s craft phase. They’re unsellable, indestructible, and technically machine washable.” “And the children will love them?” Bill picked up an octopus. Its stitched smile seemed to know his tax history. “They’ll learn to. Load the van.” “After we rescue those teeth.” Molly grinned. Thunder applauded, and somewhere across town, a clown sneezed.
created_at"2026-07-09T18:03:22.502Z" 7/9/2026, 6:03:22 PM
model"openai/gpt-5.6-sol-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency4465
moderation_latency(null)
generation_time52823
tokens_prompt77
tokens_completion1412
native_tokens_prompt66
native_tokens_completion4674
native_tokens_completion_images0
native_tokens_reasoning3970
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"
usage0.14055
router(null)
provider_responses
0
endpoint_id"a54c5de0-89bf-4ad7-a212-cf977eed918a"
id"resp_04e74b4a4b6b7be0016a4fe26a9cec8195ae2733544d480a41"
is_byokfalse
latency260
model_permaslug"openai/gpt-5.6-sol-20260709"
provider_name"OpenAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1783620202-QbDr8QIMIYFMKJpvc7pG"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1783620202-B1hYH7y2jnZ2icc1Lqfm"
upstream_id"resp_04e74b4a4b6b7be0016a4fe26a9cec8195ae2733544d480a41"
total_cost0.14055
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
99.56% Dialogue to Total Word Ratio
Ratio: 70.30%, Deviation: 0.30%
neededCleanfalse
wordsTotal505
wordsDialogue355
99.7794%