Run: 2026-02-16-01KHM5Z3Y04G2JWA2EMRXVCBJB

Run Details

Duration:
51.3s
Cost:
$0.000597
Provider:
SambaNova

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
The air in the borrowed van was thick with the scent of stale coffee and desperation. Molly tapped a glossy, brightly colored invitation against the steering wheel, her brow furrowed in concentration. "The target is a five-year-old named Bartholomew. Birthday party. Backyard of the Henderson residence. Three PM sharp." Bill, a large man crammed into the passenger seat, snorted. "Bartholomew? Who names a kid Bartholomew? His friends probably call him 'Barf.'" He squinted at the detailed schematic Molly had drawn on a napkin. It featured a stick-figure dog labelled ‘Baxter – distract with beef jerky’ and a series of swirling arrows leading to a ‘Presents Pile X’. "Focus, Bill. The objective is the loot. High-value items: plasticware, battery-operated annoyances, and, if we're lucky, cash-filled envelopes from forgetful grandparents." "This feels wrong," Bill muttered, scratching his chin. "I mean, we lifted the Crown Jewels of Prague. We swapped the real Mona Lisa with a paint-by-numbers version and nobody noticed for a week. And now we're casing a kid's party for a talking teddy bear?" Molly shot him a look that could curdle milk. "The Crown Jewels had laser grids. The Louvre had pressure-sensitive floors and a small army of guards. This..." she jabbed the invitation, "...has a piñata and a dad who will be three beers deep by four o'clock. It's the perfect score. Low risk, high reward." "What's our exit strategy? Tricycle? A getaway Big Wheel?" "The wheelie bin," Molly said without a hint of irony. "We load the goods into the Henderson's own municipal-issued rubbish bin and roll it nonchalantly down the street. It's the ultimate camouflage. Who's gonna question someone taking out the trash?" Bill stared into the middle distance, a pained expression on his face. "I can see the headlines. 'Master Thief Nabbed by Six-Year-Old with a Net.' My reputation. My standing in the international criminal community..." "Your standing is currently 'unemployed and owes me forty dollars'," Molly countered. "Now, your role is crucial. You'll be dressed as the party clown." Bill’s head snapped towards her. "Absolutely not. The Geneva Convention prohibits cruel and unusual punishment. I have coulrophobia." "You have a fear of bank alarms and gainful employment. You'll be fine. It's a disguise. You’ll be ‘Pogo the Pal’. You create a diversion. A big one. Maybe you start making balloon animals that look… sinister." "Sinister how?" "I don't know, Bill, use your imagination! A poodle with too many legs. A giraffe with a tear in its eye. Something that will captivate and mildly unsettle both children and parents. While they're staring at your existential nightmare in latex, I'll be quietly filling a sack with educational toys." Bill slumped in his seat, defeated. "I just… I never thought my life of crime would lead me to stealing from toddlers. The moral ambiguity is staggering." Molly put a hand on his shoulder. "Think of it not as stealing presents," she said, her voice softening into a conspiratorial whisper. "Think of it as… early-life lessons in disappointment. We’re not thieves, Bill. We’re cynical life coaches." He sighed, a long, weary sound that fogged up the window. "Do I at least get a squirting flower?" "Top of the line," Molly promised, starting the van. "Now, let's go. We need to case the party supply store for a wig that doesn't look like it died of fright."
created_at"2026-02-16T21:34:31.073331+00:00" 2/16/2026, 9:34:31 PM
model"deepseek/deepseek-chat-v3.1"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1682
moderation_latency(null)
generation_time51229
tokens_prompt95
tokens_completion892
native_tokens_prompt67
native_tokens_completion783
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)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.0005973
router(null)
provider_responses
0
id"ec296822-9fb0-4cb8-8f04-758e7c51c162"
status200
is_byokfalse
latency1681
endpoint_id"1dda4bb9-c626-4816-bb54-99665323fef0"
provider_name"SambaNova"
model_permaslug"deepseek/deepseek-chat-v3.1"
api_type"completions"
id"gen-1771277619-YLKRkYfhjDN11tuQbGhU"
upstream_id"ec296822-9fb0-4cb8-8f04-758e7c51c162"
total_cost0.0005973
cache_discount(null)
upstream_inference_cost0
provider_name"SambaNova"

Evaluation details

Result Evaluator Details Meta Data
0.0000% Matches word count n/a
neededCleanfalse
words569
0.0000% Dialogue to Total Word Ratio
Ratio: 74.87%, Deviation: 44.87%
neededCleanfalse
wordsTotal569
wordsDialogue426
0.0000%