Run: 2026-09-10-01M25DDA5GT2ZYVZJM3BZWGAZH

Run Details

Duration:
45.4s
Cost:
$0.006793
Provider:
DeepSeek

Evaluation summary

Score Evaluator
Details Link
86.38% Matches word count (details)
97.87% Dialogue to Total Word Ratio (details)
92.1246% 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
Molly spread the birthday invitation across the dashboard of a borrowed ice-cream van and clicked a unicorn pen. Across the street, the Wigglesworth house throbbed with balloons, screaming children, and a rented unicorn that was clearly a pony wearing a traffic cone. Bill sat beside her in a bear costume that smelled like wet carpet and regret. He held a clipboard covered in stickers because Molly believed every felony needed a theme. "The presents go to the playroom after cake," Molly said. "You push the piñata cart. I cut the lock." Bill scratched his bear ear. "And if a kid sees me?" "Kids see nothing. They're still learning object permanence." He flipped through the clipboard. "Forty children. That's not a party, it's a tiny mob with juice boxes." "Which is why we have maps, a distraction, and a bear costume with pockets." "The pockets are because you sewed them on while I slept." "Initiative." Across the street, a clown tripped over a croquet mallet and fell into the bounce house. The children screamed with joy. Molly checked the time. Eleven minutes until the magician's finale, six until cake, two until the nanny vanished behind the hydrangeas to vape. Bill practiced nodding like a ventriloquist with laryngitis, but the bear head made him look like a mascot who had just seen the hotel bill. Molly checked the van's rear doors, where forty empty duffel bags waited, each labeled with a child's name in glitter glue. Organization was important. The plan was simple, which worried Bill. Simple plans were usually the ones that ended with him zip-tied to a balloon arch. He reviewed the route again: through the catering tent, past the face-painting table, behind the magician's folding screen, then out the side gate before the clown re-inflated. Molly had marked the guards with tiny stickers: two retired clowns, a bounce-house attendant named Kyle, and a nanny who vaped like a chimney. The only wild card was a toddler with a water pistol. Molly insisted toddlers were not security, merely weather. "Weather with a water pistol," Bill muttered. Molly ignored him and adjusted her fake caterer name tag, which read Hello, My Name Is Also Molly. It was not her best alias. "It never is," Bill said. "Neither was Auntie Marge." "One more time," Molly said. "Catering tent. You left, me right. Piñata cart by the face-painting table. No cake." "What if the cake touches me?" "Then you're a bear with frosting. Keep moving." Bill sighed. "I hate this plan." "You hate every plan." "I hated the museum plan less." "The museum had lasers." "The museum had dignity." Molly folded the invitation and tucked it into her apron. "Dignity doesn't pay for a new transmission. Presents do. Now put on your happy bear face." Bill tried. The bear looked constipated. Molly opened the van door, and the sound of forty seven-year-olds singing about sharks rolled over them like a cheerful tsunami. They stepped into the sunshine, carrying empty bags and criminal ambition, ready to ruin a birthday in the most profitable way possible.
created_at"2026-09-10T10:21:58.837Z" 9/10/2026, 10:21:58 AM
model"deepseek/deepseek-v4.1-flash-20260910"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency671
moderation_latency(null)
generation_time45253
tokens_prompt75
tokens_completion10931
native_tokens_prompt93
native_tokens_completion11298
native_tokens_completion_images(null)
native_tokens_reasoning10615
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"stop"
service_tier(null)
usage0.00679275
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1789035718-uausAujY8HAmkQnztdDr"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1789035718-p9uUy53M0sj0IOsudl8n"
upstream_id"edfe6286-b010-438b-a402-3e8bbb615234"
provider_responses
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endpoint_id"fd104bc8-535a-4d31-a847-a8e402e86a02"
id"edfe6286-b010-438b-a402-3e8bbb615234"
is_byokfalse
latency340
model_permaslug"deepseek/deepseek-v4.1-flash-20260910"
provider_name"DeepSeek"
status200
total_cost0.00679275
cache_discount(null)
upstream_inference_cost0
provider_name"DeepSeek"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
86.38% Matches word count n/a
neededCleanfalse
words511
97.87% Dialogue to Total Word Ratio
Ratio: 29.34%, Deviation: 0.66%
neededCleanfalse
wordsTotal518
wordsDialogue152
92.1246%