Run: 2026-04-25-01KQ2DT107SPQ6WK7NVSY5WB09

Run Details

Duration:
10m 10s
Cost:
$0.026613
Provider:
DeepSeek

Evaluation summary

Score Evaluator
Details Link
99.98% Matches word count (details)
100.00% Dialogue to Total Word Ratio (details)
99.9920% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 500 word scene that has 50% 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 slid into the cracked vinyl booth, the scent of stale coffee and burnt sugar hanging in the air like a sticky fog. She unfolded the glitter-encrusted birthday invitation, its cartoon unicorn leering up at them with a dead-eyed grin. Bill slumped opposite, picking at a dried blob of something he desperately hoped was ketchup on his sleeve. "That," she declared, jabbing the unicorn's horn with a chipped nail, "represents three thousand dollars in easily flippable merchandise." Bill squinted, his face a mask of weary disbelief. "It's a kid's party, Mol. We're not hitting a diamond exchange." "Diamonds are dead weight. Parents these days buy their children's affections in bulk." She produced a second sheet, a hand-drawn map of a suburban backyard, complete with a crudely rendered bouncy castle and a gift table groaning under sketched boxes. "The layout is insultingly simple. Bouncy castle here, cake table there, and the target—this throne of plush and plastic—right in the center." Bill leaned forward, tracing the crayon lines with a calloused finger. "What about the clown? There's always a clown." "Laughy McLaughface. I ran his background. He's a failed juggler with a suspended license for unicycle DUI. I offered him a paid gig at a children's hospital. He accepted immediately. He'll slip away before the cake cutting." Bill chewed his lip, the skin already raw. "And the parents? They'll hover like hummingbirds on espresso." Molly's grin sharpened to a knife's edge. "I've arranged a diversion. A rogue petting zoo. Two goats, a llama with a notorious grudge, and a miniature donkey I personally conditioned to trample party hats. They'll arrive unannounced, and absolute pandemonium will ensue." Bill let out a low whistle, the sound lost in the diner's ambient clatter. "Weaponizing livestock. I'm almost proud." "Thanks. We enter as uniformed repairmen from 'Fun-eral Directors: We Resuscitate Merriment.' I had patches made." She slid a business card across the sticky table. It featured a cartoon grim reaper holding a party horn, the text embossed in glitter. Bill picked it up, shaking his head slowly. "So we waltz in while the llama is eating the balloons. Then what?" "We do a clean swap. My decoy dragon piñata is stuffed with chocolate coins and miniature dinosaurs. The kids will be so hopped up on sugar and tiny reptile thrills, they won't notice us loading the real presents into our toolboxes." Bill tapped the card against the table, a nervous tic that sent the grim reaper's party horn wobbling. "And if the birthday kid starts crying?" Molly stood, smoothing the creases from her jacket with deliberate palms. Outside the diner window, a city bus belched black smoke. "Then I deploy the therapy pony. He's trained to fire a glitter cannon. Always bring a sparkly exit." She dropped a crumpled bill onto the table, coins scattering like shrapnel. A couple of quarters rolled off the edge and clattered to the floor, but nobody flinched. "Move. The llama's on a timer." She was already heading for the door.
created_at"2026-04-25T13:38:32.075Z" 4/25/2026, 1:38:32 PM
model"deepseek/deepseek-v4-pro-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency874
moderation_latency(null)
generation_time609734
tokens_prompt77
tokens_completion25664
native_tokens_prompt67
native_tokens_completion30556
native_tokens_completion_images(null)
native_tokens_reasoning29845
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"
usage0.026612865
router(null)
provider_responses
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endpoint_id"d084170b-dd99-4e53-9ae1-b63881f3cfbf"
id"5c814e53-1aff-4630-b0f7-aa5276518b7f"
is_byokfalse
latency271
model_permaslug"deepseek/deepseek-v4-pro-20260423"
provider_name"DeepSeek"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777124312-X5iNj0VlO5nUitP4JRlI"
session_id(null)
api_type"completions"
id"gen-1777124312-puSyXLhFgjuhHURuHVnj"
upstream_id"5c814e53-1aff-4630-b0f7-aa5276518b7f"
total_cost0.026612865
cache_discount(null)
upstream_inference_cost0
provider_name"DeepSeek"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
99.98% Matches word count n/a
neededCleanfalse
words502
100.00% Dialogue to Total Word Ratio
Ratio: 50.00%, Deviation: 0.00%
neededCleanfalse
wordsTotal506
wordsDialogue253
99.9920%