Run: 2026-04-25-01KQ2E42X35SEVS5KRHDP8X08J

Run Details

Duration:
12.6s
Cost:
$0.000241
Provider:
DeepSeek

Evaluation summary

Score Evaluator
Details Link
0.08% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
0.0424% 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 squinted at the party invitation, her thumb smudging the cartoon unicorn. “Okay, Bill, say that again, but slower, like you’re explaining it to a golden retriever.” Bill shifted on the curb, flicking a cigarette butt into a storm drain. “We get in as the balloon animals. I’ve got the pump. You’ve got the squeaky voice.” “I don’t have a squeaky voice,” Molly said. “I have a voice that says, ‘I will cut you if you take the last pizza roll.’ That’s not a party voice.” “You do the ‘aww, look at the puppy’ face. That works.” “That face got us banned from a funeral, Bill.” “Different context. Kids love weird aunties.” Molly dropped the invitation onto the pile of parking tickets between them. “Let me get this straight. We’re going to a seven-year-old’s birthday party at Bouncy Castle Kingdom. We are going to pretend to be the hired entertainment. We are going to make balloon poodles until the presents pile up by the cake table. Then we grab the sack and run through the emergency exit that triggers an alarm.” “We’ll be wearing clown wigs. Security won’t recognize us.” “Security is a seventeen-year-old named Kevin who spends the shift on TikTok. He won’t recognize his own reflection.” Molly rubbed her temples. “What about the parents? There’ll be forty of them, all on high alert because someone already stole the goody bags last year.” “That was us.” “No, that was you. I was in the car.” “Fine. New plan. The magician at party four is a guy I know, Vinnie. He owes me twenty bucks. I’ll get him to do a trick that involves a fire extinguisher. Smoke cloud. We grab the presents, blend into the chaos.” Molly stared at him. “So the magician sprays CO2 at a room full of toddlers? You want a mass casualty event on our rap sheet?” “They’re resilient. Bounce back.” “I hate you.” “You love me. We’re a team.” Molly picked up the invitation again. There was a photo of a grinning child in a tiara. “Her name is Makenzleigh. With a ‘z’ and a silent ‘gh’. We are stealing from a child named Makenzleigh.” “Think of it as teaching her about the cruel reality of capitalism.” “You’re a terrible person.” “I’m an okay person who’s very good at being terrible.” Bill stood, brushing gravel off his cargo shorts. “Look. The party’s at three. We go in as Aunt Karen and Uncle Bob. You wear the floral dress with the shoulder pads. I’ll bring a fake baby. We stick the presents in the stroller. Easy.” “Where do you get a fake baby?” “I know a guy.” “Of course you do.” Molly folded the invitation and tucked it in her pocket. “Fine. But if this goes south, I’m tripping you and claiming I was a hostage.” “Deal. You bring the snacks.” “I’m not bringing snacks to a heist.” “It’s a party. You have to blend.” Bill grinned. “Plus, I’m hungry.” Molly sighed. The universe had chosen her partner, and the universe had a sick sense of humor. She’d need extra hiding spots in that shoulder-pad dress. And maybe a real snack, just in case.
created_at"2026-04-25T13:44:01.702Z" 4/25/2026, 1:44:01 PM
model"deepseek/deepseek-v4-flash-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency595
moderation_latency(null)
generation_time12497
tokens_prompt77
tokens_completion923
native_tokens_prompt67
native_tokens_completion826
native_tokens_completion_images(null)
native_tokens_reasoning68
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"
usage0.00024066
router(null)
provider_responses
0
endpoint_id"722e0746-2034-4d6e-a08f-e6271849ee9e"
id"ec80fd73-cfbc-46c8-a3c1-31426a659b54"
is_byokfalse
latency371
model_permaslug"deepseek/deepseek-v4-flash-20260423"
provider_name"DeepSeek"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777124641-FGSuds35dBj6hiFxQzPT"
session_id(null)
api_type"completions"
id"gen-1777124641-0hdTOt5o7CLpAKU5SmPL"
upstream_id"ec80fd73-cfbc-46c8-a3c1-31426a659b54"
total_cost0.00024066
cache_discount(null)
upstream_inference_cost0
provider_name"DeepSeek"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
0.08% Matches word count n/a
neededCleanfalse
words529
0.00% Dialogue to Total Word Ratio
Ratio: 77.72%, Deviation: 47.72%
neededCleanfalse
wordsTotal534
wordsDialogue415
0.0424%