Run: 2026-10-20-01M5C6DZMKYV9NVTTQVBEP809J

Run Details

Duration:
1m 6s
Cost:
$0.005826
Provider:
InferenceNet

Evaluation summary

Score Evaluator
Details Link
51.93% Matches word count (details)
71.48% Dialogue to Total Word Ratio (details)
61.7043% 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
Bill unfolded a grease-stained napkin across the steering wheel of the van parked outside the community center, where a clown was wrestling a balloon giraffe into a minivan and losing. The van smelled of stale coffee and ambitious crime. The napkin map showed the bouncy castle in ketchup, the exits in mustard, and the gift table in a hopeful smear of birthday cake. Bill studied it like a general. “Right,” he said. “Party starts at two. We go in as entertainers, distract the little savages with one magic trick, and sweep every present into the unicorn piñata.” Molly lowered her coffee and stared at him for a long, dangerous moment. “The unicorn piñata?” “It’s hollow, Molly. It’s practically a suitcase with hooves.” Bill tapped the napkin proudly. “It’s papier-mâché and hope, Bill. And why are we robbing a seven-year-old?” “Because adults have cameras, lawyers, and feelings. Children have cake and short attention spans.” Molly pinched the bridge of her nose while the clown outside dropped the giraffe and began arguing with a party hat. Across the parking lot, a parent wrestled a cake shaped like a dinosaur while a toddler escaped with a fistful of napkins. “We are not stealing a child’s birthday presents.” “We’re redistributing them. To us. That’s a redistribution.” “That’s a felony with glitter on it.” Bill consulted the ketchup bouncy castle and mustard exits. “Look, parents stack the gifts by the castle. You grab the blue bag, I grab the red bag, and we exit through the catering tent.” “What diversion?” “I do a balloon animal.” “You can’t make balloon animals.” “I can make one. It’s a snake. It’s also a disappointment.” Molly took the napkin map, folded it into a tiny square, and placed it carefully in the glove compartment where it could do no harm. “And if a kid cries?” “We give them a present.” “From the pile we’re stealing?” “Exactly. Customer satisfaction.” “They’re not customers. They’re hostages with juice boxes.” Bill produced a clown wig from under the seat and balanced it on his head like a crown of terrible decisions. “This is why I’m the idea man.” Molly pulled the wig off and held it at arm’s length. It squeaked. She held it like a dead spider. “We need a real plan. Walk in, pretend we’re the magician and assistant, case the room, leave. No presents.” “Leave empty-handed? That’s not a heist. That’s a tour.” “We can rob the party next week. When we know the layout.” “Next week is a petting zoo. Goats are unpredictable.” Molly paused, imagining a goat with a police scanner and a tiny badge. “Fine. But we’re not taking the piñata.” “Deal.” “And we’re not making any kid cry.” “Deal.” “And if anyone asks, you’re the magician.” Bill grinned, adjusted the wig, and held up the napkin map. “Molly, I’ve been rehearsing. Pick a card.” She looked at the napkin. “That’s a napkin.” “Pick a card, any napkin.” Molly opened the van door and stepped into the sunshine. “We’re going to jail.” “Only if we’re caught. Otherwise, we’re going to a birthday party.”
created_at"2026-10-20T08:21:47.289Z" 10/20/2026, 8:21:47 AM
model"deepseek/deepseek-v4.1-flash-20261017"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency123
moderation_latency(null)
generation_time66055
tokens_prompt75
tokens_completion10507
native_tokens_prompt67
native_tokens_completion11642
native_tokens_completion_images(null)
native_tokens_reasoning10878
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
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origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
service_tier(null)
usage0.00582636
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1792484507-53MtIerqVlpPuhT1Vcjq"
session_id(null)
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api_type"completions"
id"gen-1792484507-qxmcWsTDHdcEePa9CV6J"
upstream_id"gv2_Z02Y2OjfDDqBFhWwt0JDT"
provider_responses
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id"gv2_Z02Y2OjfDDqBFhWwt0JDT"
is_byokfalse
latency123
model_permaslug"deepseek/deepseek-v4.1-flash-20261017"
provider_name"InferenceNet"
status200
total_cost0.00582636
cache_discount(null)
upstream_inference_cost0
provider_name"InferenceNet"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
51.93% Matches word count n/a
neededCleanfalse
words516
71.48% Dialogue to Total Word Ratio
Ratio: 52.59%, Deviation: 2.59%
neededCleanfalse
wordsTotal521
wordsDialogue274
61.7043%