Run: 2026-10-13-01M4TC4SKDD3CVGZJKF9B26V4Z

Run Details

Duration:
30.8s
Cost:
$0.095652
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 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 stared through binoculars at balloons bobbing above the fence. "That house has more presents than Santa keeps in storage." Bill adjusted his clown wig and scratched his itchy nose. "Please remind me why I must wear this ridiculous outfit." Molly lowered the binoculars and grinned at his quiet misery. "Because nobody suspects a clown carrying sacks during a party." Bill tugged the enormous shoes and nearly fell over sideways. "These shoes could smuggle bowling balls past any security guard." Across the street children screamed happily around a chocolate fountain. "Exactly at noon the magician starts his loudest trick outside." Molly unfolded a crayon map drawn on a napkin yesterday. "We slip inside while everyone watches rabbits vanish into hats." Bill studied the map upside down for several long seconds. "Why does your map show dragons guarding the back door?" Molly flipped it around without admitting her artistic mistake aloud. "Those are poodles wearing party hats beside the garden gate." A tiny poodle barked fiercely from behind the fence nearby. "That beast sounds hungry enough to eat my clown pants." Molly produced two sausages from her coat pocket very proudly. "One sausage distracts the dog while another distracts the guard." Bill looked toward the retired guard eating cake near gate. "What if the guard prefers sausages less than chocolate cake?" Molly revealed a cake slice hidden inside a paper bag. "Then we deploy emergency cake and run like frightened waiters." Bill nodded solemnly and practiced his saddest clown face expression. "Should I cry if the birthday girl asks awkward questions?" Molly shook her head and pointed toward the gift table. "Just honk your nose and offer her a balloon giraffe." Bill pulled twisted balloons from his sleeve with trembling hands. "My giraffe looks more like a confused yellow noodle unfortunately." Molly patted his shoulder and inspected the street once more. "Perfect because children love noodles almost as much as presents." Inside the window presents glittered beneath ribbons and bright bows. "I see bicycles, dolls, board games and one giant teddy." Molly counted silently and wrote numbers on her gloved palm. "We need four sacks plus extra room for that teddy." Bill raised one eyebrow above his painted red smile today. "That teddy wears a seatbelt better than you drive normally." Molly ignored him and checked her watch with theatrical seriousness. "At noon we move quietly through the side kitchen door." Bill practiced tiptoeing and immediately squeaked both huge shoes loudly. "Maybe I should crawl instead of walking like a duck." Molly considered this while a marching band warmed up nearby. "Crawling clowns attract attention unless somebody drops a birthday cake." Bill grinned suddenly as trumpets blasted across the sunny street. "Then the band covers our squeaks, bangs, crashes and honks." Molly stuffed empty sacks beneath his oversized jacket very carefully. "Remember we grab presents only and leave cake completely alone." Bill saluted as children cheered and church bells rang noon. "For the presents the glory and absolutely no cake whatsoever."
created_at"2026-10-13T10:15:17.882Z" 10/13/2026, 10:15:17 AM
model"meta/muse-wonder-20261012"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2310
moderation_latency(null)
generation_time30736
tokens_prompt75
tokens_completion933
native_tokens_prompt68
native_tokens_completion4769
native_tokens_completion_images0
native_tokens_reasoning3992
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"completed"
service_tier"auto"
usage0.095652
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791886517-73jb9cZPz452V3uaCWYr"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791886517-dJeJ4hdd7PZShl7MDY2t"
upstream_id"resp_6ace04b611aa8f4000224bc8"
provider_responses
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endpoint_id"1232618d-ebfe-4338-9b68-d9127a57c8dd"
id"resp_6ace04b611aa8f4000224bc8"
is_byokfalse
latency851
model_permaslug"meta/muse-wonder-20261012"
provider_name"Meta"
status200
total_cost0.095652
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: 50.00%, Deviation: 0.00%
neededCleanfalse
wordsTotal500
wordsDialogue250
100.0000%