Run: 2026-04-25-01KQ2G5E71P3GCJWDJHJ7G1XEB

Run Details

Duration:
12.3s
Cost:
$0.000246
Provider:
DeepSeek

Evaluation summary

Score Evaluator
Details Link
0.01% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
0.0049% 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
“You’re telling me we’re robbing a bunch of six-year-olds?” Bill said, shifting his weight from one foot to the other. He was wearing a black tracksuit that smelled faintly of regret and microwaved lasagna. “No, Bill. We’re not robbing children. We’re liberating gifts from a poorly secured party venue that happens to be populated by children,” Molly said. She was already sketching a map on a napkin with a stolen eyeliner pencil. “That’s the same thing.” “It’s not. There’s a moral distinction. We’re not taking the toys. We’re taking the opportunities those toys represent. And we’re doing it for the greater good.” “What greater good? My rent?” “Precisely. Your rent is a noble cause. Now focus.” She tapped the napkin. “The party is at the ‘Magic Castle Bounce Palace.’ It’s a two-story tank of germs and screaming. They’ll have a designated gift table by the ball pit. The mother in charge, a woman named Carol, always puts it there. I’ve been staking it out for three weeks.” “Three weeks? You’ve been casing a four-year-old’s birthday party for three weeks?” “I had to memorize the drop-off patterns. Carol’s sister shows up at 2:17 with a giant box. The grandmother arrives twenty minutes early and rearranges everything. It’s a symphony of chaos, Bill. And we’re the maestros.” Bill rubbed his face. “Okay. So what’s the plan? We walk in wearing clown outfits and a trench coat?” “No. That’s ridiculous. We’re going as parents.” “We don’t have kids.” “We’ll borrow one.” “Borrow a kid? From where? There’s a kid store?” “There’s a park,” Molly said flatly. “We pick one that looks sad and compliant. We tell them we’re doing a fun game where they get to sit quietly in a corner while we do a scavenger hunt. If they cry, we abandon them. It’s a win-win.” Bill stared at her. “That’s kidnapping.” “It’s temporary custodial acquisition. With a snack incentive.” She pulled a granola bar from her pocket. “See? Prepared.” “Molly, I don’t think a granola bar is a legal gray area eraser.” “Fine. We don’t borrow a kid. We use a decoy. I’ll dress like a mom—frazzled, carrying a giant diaper bag that’s actually a duffel for hauling loot. You’ll be the dad who’s clearly on his phone the whole time. We blend in.” “And the presents?” “We wait for the piñata moment. That’s when Carol is blindfolded and swinging a broom at a papier-mâché donkey. Every adult is watching for candy. We empty the table into the diaper bag. We walk out slowly. We slip the bouncer a $20 and tell him we’re getting the kid who’s allergic to gluten.” Bill nodded slowly. “I have a $20. I was going to use it for a sandwich.” “Consider it an investment. A sandwich is temporary. Stolen dollhouse money is forever.” “What if someone sees us?” “No one sees the parents. They’re background noise. We are the least interesting people in that room. We will be invisible.” Bill sighed. “And what happens when we get home and I have to unwrap a My Little Pony that smells like a stranger’s house?” Molly smiled. “Then we laugh. And we sell it on the internet.”
created_at"2026-04-25T14:19:43.209Z" 4/25/2026, 2:19:43 PM
model"deepseek/deepseek-v4-flash-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency721
moderation_latency(null)
generation_time11611
tokens_prompt77
tokens_completion936
native_tokens_prompt67
native_tokens_completion846
native_tokens_completion_images(null)
native_tokens_reasoning50
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"
usage0.00024626
router(null)
provider_responses
0
endpoint_id"722e0746-2034-4d6e-a08f-e6271849ee9e"
id"06e12f40-7ffa-4ec1-a780-22aa9ab07667"
is_byokfalse
latency420
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-1777126783-3GefMJq1tirKzwGHTtkK"
session_id(null)
api_type"completions"
id"gen-1777126783-92DH6QmU7z3ow6MIYV9O"
upstream_id"06e12f40-7ffa-4ec1-a780-22aa9ab07667"
total_cost0.00024626
cache_discount(null)
upstream_inference_cost0
provider_name"DeepSeek"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
0.01% Matches word count n/a
neededCleanfalse
words531
0.00% Dialogue to Total Word Ratio
Ratio: 86.83%, Deviation: 16.83%
neededCleanfalse
wordsTotal539
wordsDialogue468
0.0049%