Run: 2026-11-11-01M754GGE7BKTFTXHTH4AFQPKS

Run Details

Duration:
10.9s
Cost:
$0.003392
Provider:
Meta

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
100.00% Dialogue to Total Word Ratio (details)
100.0000% 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
The van hissed outside the warehouse as Molly zipped her black jacket and checked the rope coiled beside the door. "Bill, are you double checking the guest list or are you asleep again?" she said. "I'm awake," Bill said. "I have the list right here and it is huge." "How many kids are coming then, genius, and where exactly are we parking?" Bill spread the paper across a crate beside a carton of cake candles and party hats. "Twenty kids," he said. "Twenty five presents, at least, piled underneath that table." "Twenty five? That is more than enough to sell back at the pawn shop tomorrow." She tapped the map with one gloved finger and grinned at the garden gate marked in red ink. "The garden gate," she said. "We slip in while the parents are busy with games." "And the dog?" Bill asked. "The neighbor said that dog never sleeps." "The dog is deaf as a post," Molly said. "I checked last Tuesday with steak." "Steak?" Bill said. "You befriend every guard animal with steak." "Works every time," Molly said. "Even the one at Saint Mary's bakery." Bill nodded and stuffed the rope into a sack that already held gloves and a crowbar. "Okay, okay," he said. "We go in at five, grab the pile, and run." "What about the clown?" Molly asked. "That clown saw me last time." "The clown?" Bill said. "He works for balloons and tips only." "He saw my face and my jacket, Bill," Molly said. "He will remember." "Then we wear masks," Bill said. "And we bring extra balloons too." Molly laughed and tossed him a mask shaped like a cheerful frog face. "Perfect, frog master," she said. "You can be the lookout frog." "Lookout frog?" Bill said. "I wanted the treasure chest duty." "Treasure chest duty is grabbing gifts while everyone sings," Molly said. "You sing badly." "I sing fine when nobody listens," Bill said. "And the parents will be busy clapping." "Fine, you carry the big box, and I will run interference with cake." Bill sighed and lifted the sack while Molly unlocked the van door with a loud click. "Interference with cake?" Bill said. "That plan caused the last disaster." "The last disaster was your fault," Molly said. "You dropped the cake." "I dropped it because the sprinkles were slippery," Bill said. "Sprinkles are dangerous." "Right, slippery sprinkles, very dangerous," Molly said. "Now get in the van." "Van is ready," Bill said. "But we still need one more thing for tonight." "What thing?" Molly said. "We have rope and steak and masks already." "The birthday song," Bill said. "We need it timed exactly right." "Timed?" Molly said. "Why does a song matter, Bill?" Silence. "Listen, we time our grab for the second verse, because the parents will be filming, the kids will be screaming, and nobody will see two frogs sneaking past the balloons toward the car before the magician returns with more juice boxes and a very loud kazoo tonight."
created_at"2026-11-11T11:04:55.5Z" 11/11/2026, 11:04:55 AM
model"meta/muse-ember-20261109"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1698
moderation_latency(null)
generation_time10904
tokens_prompt75
tokens_completion866
native_tokens_prompt69
native_tokens_completion6771
native_tokens_completion_images0
native_tokens_reasoning5963
native_tokens_cached0
num_media_prompt(null)
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num_media_completion0
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origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
service_tier"default"
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router(null)
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http_referer(null)
request_id"req-1794395095-ubXNQ4XrZYxvMVLXvarE"
session_id(null)
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api_type"completions"
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provider_responses
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endpoint_id"ea8469c2-ddf8-4985-8cf2-f5dc7e63e14c"
id"resp_6af44bd8394d507592ae42bc"
is_byokfalse
latency740
model_permaslug"meta/muse-ember-20261109"
provider_name"Meta"
status200
total_cost0.0033924
cache_discount(null)
upstream_inference_cost0
provider_name"Meta"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
100.00% Matches word count n/a
neededCleanfalse
words500
100.00% Dialogue to Total Word Ratio
Ratio: 70.00%, Deviation: 0.00%
neededCleanfalse
wordsTotal500
wordsDialogue350
100.0000%