Run: 2026-11-11-01M7556SKH6AZ9CJPET1BQ997P

Run Details

Duration:
11.5s
Cost:
$0.004402
Provider:
Meta

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
99.95% Dialogue to Total Word Ratio (details)
99.9746% 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 adjusted her tiny disguise hat while Bill counted plastic cups again under the neighbor's flickering porch light across the damp pavement very slowly tonight. "Okay Bill, the plan is simple: we sneak past balloons, dodge cake, grab every shiny present, and vanish before anyone notices us tonight at all." Bill nodded seriously while holding a clipboard covered in crayon drawings of laser grids he had copied from a spy movie last weekend with confidence. "First we distract the parents with my legendary juice box explosion trick, then you roll under the table like a very hungry woodchuck for snacks." Molly practiced her innocent face in the reflection of a nearby car window while Bill tried to look casual with a party hat very badly. "What if they ask why we are wearing matching tuxedos and carrying an enormous empty laundry basket labeled totally normal laundry for the birthday party today?" Bill whispered that the basket was essential camouflage while Molly whispered back that camouflage usually involved not wearing bow ties indoors during quiet evenings together. "We need a code word: if the birthday clown starts asking questions, we will say pineapple and then pretend we are lost tourists from Ohio." A dog barked at their serious expressions as paper streamers fluttered down from a tree and landed directly on Bill's nervous head without any mercy. "Remember, the getaway car is my cousin's minivan and it smells like old crackers, but it can outrun any tricycle in the neighborhood easily enough." Molly checked the list of presents taped inside her coat while Bill rehearsed tiptoeing over squeaky rubber ducks arranged across the kitchen floor very quietly. "I will grab the big box with the robot inside, you distract the kids by insisting the cake is actually a vegetable costume for dinner." Bill attempted the tiptoe across invisible ducks and squeaked loudly anyway causing Molly to cover her face and reconsider every life choice before midnight struck. "New plan: we simply walk in singing happy birthday loudly, nobody suspects a thief who knows every single word to that song without any hesitation." Molly considered the singing strategy while Bill hummed tunelessly to himself and accidentally knocked over a precarious tower of party cups with tremendous dramatic flair. "If we get caught, we will just claim we thought all the presents were meant for extremely tall twins named Molly and Bill after all." Bill laughed nervously at the tall twins excuse while Molly wrote it on the clipboard in case they needed backup excuses later during questioning sessions. "The presents are wrapped in terrible paper so nobody will notice when we rewrap them around my enormous collection of garden gnomes next Friday afternoon." Molly nodded at the gnome plan while Bill imagined the party parents discovering dozens of tiny hats hiding inside every empty box with great confusion. "Alright, we move at seven o'clock sharp, two minutes past the pinata disaster and before the ice cream melts into a soupy puddle every time."
created_at"2026-11-11T11:17:05.79Z" 11/11/2026, 11:17:05 AM
model"meta/muse-ember-20261109"
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external_user(null)
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cancelledfalse
latency1207
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generation_time11424
tokens_prompt75
tokens_completion1005
native_tokens_prompt69
native_tokens_completion8790
native_tokens_completion_images0
native_tokens_reasoning7994
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num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
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origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
service_tier"default"
usage0.0044019
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.22.2; linux; x64))"
http_referer(null)
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session_id(null)
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api_type"completions"
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provider_responses
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id"resp_6af44eb2ebffd0a147654a94"
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latency335
model_permaslug"meta/muse-ember-20261109"
provider_name"Meta"
status200
total_cost0.0044019
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
words501
99.95% Dialogue to Total Word Ratio
Ratio: 50.10%, Deviation: 0.10%
neededCleanfalse
wordsTotal501
wordsDialogue251
99.9746%