Run: 2026-10-20-01M5C6NKMQ41F6MZA7HXD90RT7

Run Details

Duration:
21.8s
Cost:
$0.001546
Provider:
InferenceNet

Evaluation summary

Score Evaluator
Details Link
0.00% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
0.0000% 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 unfolded the birthday invitation across the dashboard like it was a bank blueprint. “Right, Bill, here’s the score. Saturday, two o’clock, Little Lord Fauntleroy’s sixth birthday. Thirty kids, one clown, a bouncy castle, and a mountain of presents in the conservatory.” Bill squinted through the van’s windscreen at the balloon arch. “Molly, those aren’t guards. Those are toddlers.” “Toddlers are unpredictable. Worse than guard dogs. One of them bit me at a Christening.” “You were dressed as a dinosaur.” “It was a strategic costume. Focus.” Bill tapped the invitation. “What’s the clown situation?” “Annual leave for Cuddles the Clown. We’re replacing him.” Molly produced two fright wigs and a squeaky red nose. “You’re Chuckles. I’m Pickles. We go in through the entertainer’s entrance, set up the magic show, and while every child is watching you pull a rabbit out of a hat, I’m in the conservatory bagging the loot.” “Where exactly are we getting a rabbit?” “Party City. Receipt’s in the glove box.” Bill rubbed his temples. “And the parents?” “The parents will be drunk on prosecco by two-fifteen. It’s a Saturday. There’s a charcuterie board shaped like a pirate ship.” “What about the birthday boy’s father? I heard he’s built like a fridge.” “He’s doing the school run. We’ve got a window.” “And the nanny?” “Allergic to balloons. She’ll be in the kitchen mainlining antihistamines.” “Convenient.” “I didn’t say convenient. I said tragic.” Bill stared at her. “What about the bouncy castle?” “That’s our escape route. We deflate it at exactly two forty-five, create a diversion, and leave under cover of screaming.” “You want to escape under screaming children?” “It’s not the strangest thing we’ve done. Remember the llama gala?” “We do not speak of the llama gala.” Molly unfolded a crayon drawing she’d stolen from the target’s nanny. “Presents are stacked by the fireplace. I’ve identified three high-value items: a tablet, a remote-control excavator, and a limited-edition stuffed unicorn called Sir Sparklehoof.” “You want to steal a child’s unicorn?” “It’s resale, Bill. Collector’s item. The box alone is worth eighty quid.” Bill tugged at his collar. “I don’t like it. Kids are small and fast and they ask questions.” “That’s why we’re wearing clown makeup. No one questions a clown.” “People question clowns constantly, Molly. That’s the whole point of clowns.” Molly ignored him and clicked a stopwatch. “Timeline. Two o’clock, arrival. Two-oh-five, balloon animal distraction. Two-ten, magic show. Two-fifteen, I slip out during the disappearing handkerchief. Two-twenty, presents bagged. Two-thirty, deflate castle. Two-forty, van. Two-fifty, we’re eating cake.” “We get cake?” “We steal cake, Bill. There’s a difference.” Bill sighed. “Fine. But if a toddler bites me, I’m biting back.” “Professionalism, Chuckles. Professionalism.”
created_at"2026-10-20T08:25:57.149Z" 10/20/2026, 8:25:57 AM
model"deepseek/deepseek-v4.1-flash-20261017"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency166
moderation_latency(null)
generation_time21814
tokens_prompt75
tokens_completion3129
native_tokens_prompt67
native_tokens_completion3082
native_tokens_completion_images(null)
native_tokens_reasoning2334
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"
service_tier(null)
usage0.00154636
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1792484757-7BxI2Os7qJMEmc95P65n"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1792484757-9Aj2xWqJac5JZLr2Eh2u"
upstream_id"gv2_gc1AtuB0XcZOGoVtDwENK"
provider_responses
0
endpoint_id"4231aea9-73af-4a2f-bd14-660b1d8b13b2"
id"gv2_gc1AtuB0XcZOGoVtDwENK"
is_byokfalse
latency166
model_permaslug"deepseek/deepseek-v4.1-flash-20261017"
provider_name"InferenceNet"
status200
total_cost0.00154636
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
0.00% Matches word count n/a
neededCleanfalse
words447
0.00% Dialogue to Total Word Ratio
Ratio: 84.57%, Deviation: 34.57%
neededCleanfalse
wordsTotal460
wordsDialogue389
0.0000%