Run: 2026-04-25-01KQ2E3GK2QVVP3PVZ2DQ97F4A

Run Details

Duration:
18.7s
Cost:
$0.000249
Provider:
DeepSeek

Evaluation summary

Score Evaluator
Details Link
14.30% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
7.1507% 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 thumbed the edge of the party invitation, a glossy card with a cartoon unicorn shooting rainbows from its horn. “I’m telling you, Bill, this is the score of a lifetime.” Bill squinted at the address. “It’s a six-year-old’s birthday party. The only thing of value in there is a bouncy castle and a piñata filled with regret.” “Regret doesn’t buy new ski masks. Look at the registry.” Molly tapped the back of the card. “Gift bags. Each one has a gold-plated token, a stuffed animal, and a gift card to The Magic Bean. Those kids are loaded.” “Loaded with sugar and delusions. I’m not crashing a toddler’s tea party just to swipe a plush llama with googly eyes.” “It’s a plush llama with diamond-studded googly eyes, Bill. The Glitz & Giggles party planners charge four hundred a head. These parents are hedge fund managers. They don’t buy off-brand.” Bill sighed, rubbing his balding scalp. “And how exactly do we pull this off? We’re two middle-aged cat burglars with a shared sciatica. I can’t outrun a kid on a sugar high.” “We don’t outrun them. We outsmart them.” Molly unfolded a hand-drawn map of the Fancy Pants Event Center. “Clown arrives at two. Magic show at two-thirty. Present opening at three. We hit during the balloon animal wrap-up. Every kid is clutching a poodle made of latex. Parents are distracted, taking photos for Instagram. We sweep the gift table, swap the presents with these decoy boxes filled with rocks, and we’re out the back exit before the candles are lit.” Bill stared at the map. “Rocks? You want to replace a pile of presents with rocks?” “It’s called misdirection. They won’t notice until they open them at home. By then, we’re long gone, selling the gift cards on the dark web.” “The dark web doesn’t take Starbucks gift cards, Molly.” “The Magic Bean is artisan espresso. It’s high-end. Now focus. I need you on clown distraction. You’re going to pretend your car is being towed. Loudly. Make a scene.” “I have to pretend to be angry about a tow truck? That’s my natural state. Fine. What’s your fake identity?” Molly produced a bright pink wig and a sequined skirt from her duffel bag. “I’m Auntie Sparkles, the birthday party photographer. I’ll have a camera with a wide-angle lens. No one questions a woman with expensive equipment.” Bill squinted. “That’s… alarmingly well thought out. Have you done this before?” “Once. A Bar Mitzvah in Scarsdale. Got away with a set of silver candlesticks and a leather-bound Torah. Don’t look at me like that. It was a reproduction.” “A reproduction Torah. I’m the brains of this operation? We’re going to jail.” “Jail is a temporary setback. A lifetime supply of artisan coffee is forever. Now, do we have a plan or do I go solo?” Bill took a deep breath. “Fine. But when a six-year-old cries because her rainbow unicorn is now a rock, you’re the one carrying the guilt.” “Guilt has no place in a heist, Bill. Only presents. And presents are the children’s love language. We’re just translating it into profit.”
created_at"2026-04-25T13:43:42.95Z" 4/25/2026, 1:43:42 PM
model"deepseek/deepseek-v4-flash-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency998
moderation_latency(null)
generation_time16889
tokens_prompt77
tokens_completion935
native_tokens_prompt67
native_tokens_completion857
native_tokens_completion_images(null)
native_tokens_reasoning92
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"
usage0.00024934
router(null)
provider_responses
0
endpoint_id"722e0746-2034-4d6e-a08f-e6271849ee9e"
id"382f7a92-dd7e-4e57-becd-a2317d094fee"
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-1777124622-mxT1GDdj7NtEpwZVmqQ4"
session_id(null)
api_type"completions"
id"gen-1777124622-RDLzNEMt3sJGJuzcZ3ij"
upstream_id"382f7a92-dd7e-4e57-becd-a2317d094fee"
total_cost0.00024934
cache_discount(null)
upstream_inference_cost0
provider_name"DeepSeek"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
14.30% Matches word count n/a
neededCleanfalse
words521
0.00% Dialogue to Total Word Ratio
Ratio: 85.79%, Deviation: 35.79%
neededCleanfalse
wordsTotal535
wordsDialogue459
7.1507%