Run: 2026-11-11-01M755NBXKSD6HCMA31W3SS6B0

Run Details

Duration:
13.8s
Cost:
$0.003656
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 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
Molly stared at the birthday banner through the bakery window while Bill pretended to admire a cake shaped like a pirate ship. The party hall behind them smelled of sugar and balloons. Molly tapped her notebook with her pen and whispered her latest brilliant idea about presents. Bill tried to look casual but his shoes squeaked loudly on the tiled floor. He coughed and adjusted his fake moustache again. A waiter carried juice boxes past them toward the noisy children. "I counted forty seven presents on that table and nobody is watching them while the clown tells jokes." Molly said. "Great, so we just need a distraction, a wheelbarrow, and absolutely no moral courage at all today." Bill said. Bill scribbled a plan on a napkin while Molly pointed at the side door near the bins. The door had a small window and a loose lock that rattled whenever the wind blew. Molly's plan involved wearing disguises and entering during the singing when everyone would be distracted by cake. Bill nodded seriously and drew a tiny wheelbarrow next to a stick figure wearing a clown nose. He added a question mark beside his drawing for dramatic effect. Molly folded the napkin neatly and stuffed it inside her coat pocket. "We could pretend to be party entertainers hired for a surprise magic show for the birthday girl in the back room." Bill said. "Perfect, I will handle the lock and you handle the wheelbarrow and the fake laugh when nervous very much." Molly said. They rehearsed their plan behind a stack of flour sacks in the alley. Molly put on a purple wig and Bill wore a hat covered in plastic fruit. Both of them kept laughing every time they looked at each other. A cat watched them from a fence and yawned widely before wandering away unimpressed. Molly practised opening an imaginary present while Bill whispered directions for the wheelbarrow. Neighbours leaned from windows to watch the strange rehearsal with growing curiosity and amusement. Nobody understood the mission at all. "Remember to smile at the parents and wave at the children and look completely innocent throughout the entire afternoon." Molly said. "And if anyone asks questions I will explain our magic tricks with confidence and extra glitter." Bill said. By the time they reached the party hall the sun was setting and the windows glowed with coloured lights. Children's laughter drifted from inside while a band played a cheerful tune on a keyboard. Molly checked her watch and nodded toward the side door where the wheelbarrow waited hidden behind a bush. Bill took a deep breath and straightened his silly hat before the big moment. Molly winked and whispered that the presents were almost theirs already. "Once we are inside we load everything quickly and leave while everyone sings happy birthday together in one glorious sweep." Bill said. "Then we celebrate with cake and freedom and maybe one tiny toy for ourselves as well before sunrise tomorrow morning." Molly said.
created_at"2026-11-11T11:25:03.288Z" 11/11/2026, 11:25:03 AM
model"meta/muse-ember-20261109"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2013
moderation_latency(null)
generation_time13805
tokens_prompt75
tokens_completion960
native_tokens_prompt69
native_tokens_completion7299
native_tokens_completion_images0
native_tokens_reasoning6525
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"default"
usage0.0036564
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.22.2; linux; x64))"
http_referer(null)
request_id"req-1794396303-P4nrCzihMumeoNfuFUQl"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1794396303-r2bcEV7YBCUV16Gd67Nw"
upstream_id"resp_6af450907325de543c934582"
provider_responses
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endpoint_id"ea8469c2-ddf8-4985-8cf2-f5dc7e63e14c"
id"resp_6af450907325de543c934582"
is_byokfalse
latency1684
model_permaslug"meta/muse-ember-20261109"
provider_name"Meta"
status200
total_cost0.0036564
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: 30.00%, Deviation: 0.00%
neededCleanfalse
wordsTotal500
wordsDialogue150
100.0000%