Run: 2026-03-25-01KMJ7T14DV0TQRFA27TFM8QHT

Run Details

Duration:
48.7s
Cost:
$0.000478
Provider:
SiliconFlow

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 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 rain drummed a lazy rhythm on the rusted awning of the van parked behind “Squeals & Squeaks,” the most garishly colored children’s entertainment complex east of the Mississippi. Inside, plastic rainbows dripped from every surface, and a five-story inflatable banana slide lurched ominously in the wind. Molly adjusted her headset and squinted at the security feed on her tablet. "They change the code every Tuesday," Molly muttered, poking at the screen. "And today’s Tuesday." Bill munched on a peanut butter cracker, a smear on his cheek like war paint. "So we go in through the ball pit?" Molly shot him a look. "No. We don’t go in through the ball pit. The ball pit is monitored by motion sensors and at least two teenagers with nothing better to do than watch people burp into plastic spheres." Bill brushed crumbs onto the floor. "I’ve burped into a ball pit before. It echoes." "Not helping." She zoomed in on the camera feed showing a storage closet labeled “Gift Vault” — a modest sign for what was, in fact, a back room stacked with unopened presents, birthday cards, and enough helium balloons to launch a small child into low orbit. “That’s where they keep everything until the birthday kid does the ‘Big Present Reveal.’ Right after the third rendition of ‘Happy Birthday’ and before the pin-the-tail meltdown.” Bill leaned over. "So we need to strike between song and tears?" "Exactly. We wait until the cake ceremony chaos. That’s when their attention span hits negative three." He scratched his beard. "I still think we should disguise ourselves as clowns." “We did that last time, Bill. And you cried during the magic show.” “It was emotional! The rabbit looked so confused!” Molly ignored him, pulling out a pair of magnetic lock picks and a stuffed unicorn that squeaked when squeezed. “This,” she said, holding up the unicorn, “is our decoy. We place it near the emergency exit. When the kids see a ‘lost toy,’ half of them will stampede toward it. Distraction complete.” Bill frowned. “What if they don’t care about the unicorn?” “Then we release the glitter bomb.” “You brought a glitter bomb?” “It’s eco-friendly. Mostly.” Bill stared out the window at the neon sign flickering ‘PARTY TIME!’ in rainbow cursive. “This feels wrong, Molly. Stealing from kids. What about their happy little faces? The tiny hats?” Molly rolled her eyes. “We’re not stealing from *children*, Bill. We’re redistributing joy. Think of it as seasonal wealth rebalancing.” “That’s not how joy works.” “And your plan to fund retirement by selling stolen piñatas was solid?” Bill sighed. “They were high-end piñatas. Handcrafted.” “Still illegal.” A siren wailed in the distance. Both froze. Then relaxed. “We go in at 3:17,” Molly said, checking her watch. “That’s when Kevin — age six, diagnosed with excessive energy — always trips over the karaoke mic and causes a full staff evacuation.” Bill nodded slowly. “You’ve thought about this.” “I’ve been studying this place for weeks. I know the snack rotation, the nap schedule, and which parent always forgets the diapers.” Bill adjusted his backpack. “I still say we bring face paint. In case we need to blend in.” “No face paint.” “But—” “No.” He pouted. “You never let me have fun.” “We’ll have fun when we’re sipping margaritas on a beach made of cash. Now grab the noise-canceling earmuffs. And for the love of all that is sneaky, don’t sneeze near the glitter.”
created_at"2026-03-25T10:14:26.194Z" 3/25/2026, 10:14:26 AM
model"qwen/qwen3-235b-a22b-07-25"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1447
moderation_latency(null)
generation_time48663
tokens_prompt77
tokens_completion976
native_tokens_prompt72
native_tokens_completion786
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"
usage0.00047808
router(null)
provider_responses
0
endpoint_id"ce835ea8-00c7-4686-831d-7733dac5e2d9"
id"019d247d07bbae33e88674fa890580d1"
is_byokfalse
latency1447
model_permaslug"qwen/qwen3-235b-a22b-07-25"
provider_name"SiliconFlow"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer(null)
api_type"completions"
id"gen-1774433666-7jJrnBKytWr8vcm4QDAI"
upstream_id"019d247d07bbae33e88674fa890580d1"
total_cost0.00047808
cache_discount(null)
upstream_inference_cost0
provider_name"SiliconFlow"

Evaluation details

Result Evaluator Details Meta Data
0.00% Matches word count n/a
neededCleanfalse
words572
0.00% Dialogue to Total Word Ratio
Ratio: 64.53%, Deviation: 34.53%
neededCleanfalse
wordsTotal578
wordsDialogue373
0.0000%