Run: 2026-04-25-01KQ2EGGP21QX8ZX4M8T76S7HA

Run Details

Duration:
4m 55s
Cost:
$0.000223
Provider:
DeepInfra

Evaluation summary

Score Evaluator
Details Link
35.00% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
17.5011% 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
“Okay, run it by me one more time,” Bill said, scratching his chin through the balaclava he’d already pulled on despite the car being parked three blocks from the target. “But say it slower, like I’m a third-grader. Which, given the venue, seems appropriate.” Molly sighed, tapping a finger on the laminated floor plan she’d drawn on a napkin. “We go in as ‘Uncle Carl and Aunt Peggy,’ the late arrivals from Albuquerque. You carry the decoy gift bag full of old newspapers and a kazoo.” “Why a kazoo?” “Because it’s festive, Bill. And if anyone asks, you’ll play ‘Hot Cross Buns’ until they stop asking. The real target is the Present Pyramid in the corner, behind the piñata.” Bill squinted. “The pyramid. The one guarded by a six-year-old with a light-up sword?” “Her name is Mackenzie, and her attention span is shorter than your last five jobs. We wait for the ‘Pin the Tail on the Donkey’ meltdown. There’s always one. Then you trip over the beanbag chair and start the decoy commotion.” “I have to trip on purpose? That’s bad for my back.” “Your back is a prop, Bill. It’s a narrative device. While you’re groaning on the floor and the parents are asking if you need a juice box, I slip the Haunted Dollhouse, the Laser Tag set, and the Jumbo Slime Kit into the empty diaper bag I’m carrying.” Bill stared at the napkin. “The diaper bag. The one with the fake baby rattle taped to it.” “Rattles are essential for camouflage. Babies are disarming. No one questions a crying infant.” “We don’t have a crying infant.” “We have a Bluetooth speaker in the bag, Bill. I downloaded twenty minutes of baby fussing from a sleep app. It’s realistic. It has a crying crescendo and a false ending.” Bill nodded slowly. “And what about the birthday girl? The one with the tiara and the whistle?” “The whistle is for emergencies. She can’t blow it if she’s too busy eating cake. We make sure the cake is served at exactly three-thirty. I’ve already tipped the baker fifty bucks to do the candles early. It’s a logistics play.” “So our entire timeline hinges on a bribe to a cupcake artist named Brenda?” “Brenda is reliable. She undercharges for sprinkles, but she’s punctual.” Bill leaned back, the balaclava bunching under his chin. “Okay, fine. But what about the goodie bags? There are seventeen of them. Velvet drawstrings. Untraceable candies.” “We don’t touch the goodie bags. That’s amateur hour. We go for the big prize—the pyramid. One clean sweep. In and out before the clown finishes the balloon giraffe.” “There’s a clown?” “There’s always a clown. But he’s an alcoholic, and I’ve planted a flask of spiked Gatorade in his prop box. He’ll be unconscious by the time we hit the front door.” Bill stared at her, a long, slow blink. “You spiked the clown.” “I spiked the clown.” “What if I’m the one who accidentally drinks the Gatorade?” Molly smiled. “Then you better stick to the plan. The kazoo is your lifeline, Bill. Don’t blow it.”
created_at"2026-04-25T13:50:49.03Z" 4/25/2026, 1:50:49 PM
model"deepseek/deepseek-v4-flash-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency531
moderation_latency(null)
generation_time294828
tokens_prompt77
tokens_completion839
native_tokens_prompt67
native_tokens_completion764
native_tokens_completion_images(null)
native_tokens_reasoning0
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"
usage0.0002233
router(null)
provider_responses
0
endpoint_id"934a69f9-bd54-474b-beca-24560f721e12"
id"6128ad03912c417686e2442f7fa4974b"
is_byokfalse
latency40
model_permaslug"deepseek/deepseek-v4-flash-20260423"
provider_name"DeepInfra"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777125049-KX1DjyUW84UM1Ao0OArX"
session_id(null)
api_type"completions"
id"gen-1777125049-L5LphxEq2452nIwCjeMa"
upstream_id"6128ad03912c417686e2442f7fa4974b"
total_cost0.0002233
cache_discount(null)
upstream_inference_cost0
provider_name"DeepInfra"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
35.00% Matches word count n/a
neededCleanfalse
words518
0.00% Dialogue to Total Word Ratio
Ratio: 87.38%, Deviation: 17.38%
neededCleanfalse
wordsTotal523
wordsDialogue457
17.5011%