Run: 2026-02-26-01KJBKYP9RS3GBQXY4YZSDRSHJ

Run Details

Duration:
1m 9s
Cost:
$0.015232
Provider:
Alibaba

Evaluation summary

Score Evaluator
Details Link
0.00% Matches word count (details)
34.12% Dialogue to Total Word Ratio (details)
17.0580% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 500 word scene that has 70% 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 adjusted her night vision goggles. Bill leaned against the fence, chewing on a gum wrapper. "Are you sure about this?" Bill asked. "It is a six-year-old birthday." "It is not about the age," Molly whispered. "It is about the volume of loot. Look at that pile." "Most of it is plastic swords," Bill said. "And action figures that do not come with batteries." "Exactly," Molly replied. "Parents buy them. Kids open them. We take them before the unboxing. Retail value is intact." "But the guilt," Bill groaned. "What if the kid cries?" "He will not know," Molly said. "We replace them with bricks wrapped in paper." "Bricks?" Bill laughed nervously. "That is heavy. My back is not what it used to be." "Use the van," Molly instructed. "The one with the fake bakery sign." "The bakery van?" Bill raised an eyebrow. "We are stealing presents not cupcakes." "It is about misdirection," Molly explained. "Security thinks we are delivering frosting. We are delivering nothing but empty boxes." "And the parents?" Bill asked. "They are inside eating cake." "They are distracted by the clown," Molly said. "The clown is the distraction. We are the extraction team." "I still feel bad," Bill muttered. "Taking a Transformer from a child." "It is not taking," Molly corrected. "It is redistribution. We sell them online. The money goes to well us." "Right," Bill sighed. "Just us." "Focus," Molly snapped. "The fence is unlocked. I scoped it earlier." "You scoped a suburban backyard?" Bill asked. "With a drone?" "A very small drone," Molly said. "It looked like a bee." "A bee drone?" Bill shook his head. "You are crazy." "I am profitable," Molly countered. "Now grab the crowbar. We have five minutes before the cake cutting." "Cake cutting," Bill repeated. "That is when the music stops." "That is when the parents look outside," Molly said. "We need to be in and out." "What about the dog?" Bill pointed at a sleeping pug. "Bribe it," Molly said. "I have a sausage." "You brought a sausage for a heist?" Bill asked. "It is a tactical sausage," Molly said. "Now move." Bill stepped over the hedge. Molly followed. "Wait," Bill whispered. "What if the presents are digital?" "Then we steal the tablets," Molly said. "But I checked the manifest. Physical goods only." "Good," Bill said. "Less hacking." "Less hacking," Molly agreed. "More lifting." They reached the patio door. Molly picked the lock. "In we go," Bill said. "Happy stealing," Molly said.
created_at"2026-02-26T00:00:37.181Z" 2/26/2026, 12:00:37 AM
model"qwen/qwen3.5-27b-20260224"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency474
moderation_latency(null)
generation_time68518
tokens_prompt77
tokens_completion6104
native_tokens_prompt76
native_tokens_completion6337
native_tokens_completion_images(null)
native_tokens_reasoning5722
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"
usage0.0152316
router(null)
provider_responses
0
endpoint_id"f3f88554-0c22-4d57-973b-0dec948808e8"
id"chatcmpl-09faa005-9396-9c45-946d-34458d11d7b6"
is_byokfalse
latency474
model_permaslug"qwen/qwen3.5-27b-20260224"
provider_name"Alibaba"
status200
api_type"completions"
id"gen-1772064037-Cm2pIRHN5YrXY6bcnOSy"
upstream_id"chatcmpl-09faa005-9396-9c45-946d-34458d11d7b6"
total_cost0.0152316
cache_discount(null)
upstream_inference_cost0
provider_name"Alibaba"

Evaluation details

Result Evaluator Details Meta Data
0.00% Matches word count n/a
neededCleanfalse
words412
34.12% Dialogue to Total Word Ratio
Ratio: 74.64%, Deviation: 4.64%
neededCleanfalse
wordsTotal414
wordsDialogue309
17.0580%