Run: 2026-11-11-01M754F04CPP1BM5JYV2PGBPQ3

Run Details

Duration:
11.8s
Cost:
$0.003491
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
Molly and Bill crouched behind a tall hedge at the edge of Maple Street, watching the bright balloons, the screaming children, the bouncy castle, and the enormous table stacked high with glittering presents intended for little Timmy Turner who was turning seven today and greed sparkled very brightly indeed tonight. "Bill, look at that pile. That is not a birthday party. That is a treasure vault built by parents who have clearly lost their minds and their wallets completely. We are going in tonight, grabbing everything shiny, and disappearing before anyone notices anything at all. Are you ready brave partner?" Bill adjusted his fake moustache, adjusted his black beanie, and tried to look like a serious criminal mastermind while a small child nearby offered him a slice of cake and asked if he wanted to play musical chairs instead of the heist he had planned carefully for many long weeks. "Molly, I love presents, but I do not love children. They are loud, sticky, unpredictable tiny detectives who notice everything and tell teachers immediately about suspicious men. Last time I tried to steal a tricycle, one of them followed me home on his scooter and called the police. Very embarrassing." "Relax, Bill. We will wear disguises. You will dress as a clown, and I will dress as a princess, and nobody will suspect a thing at all tonight. We will simply walk straight in, smile politely, and help ourselves to every single glittering box on that table. Easy peasy indeed." Molly pulled a rubber duck, a plastic crown, and a feather boa from her enormous backpack, while Bill struggled to inflate a balloon animal that stubbornly refused to become anything recognizable at all. Nearby parents cheered loudly for the birthday boy and clapped with great enthusiasm for his magic tricks. "Okay, but what about the cake? If we steal every present, the children will cry, and then the parents will blame the clown, and then I will be in prison. I look terrible in orange jumpsuits, and I refuse to share a cell with anyone who likes glitter. Trust me." "Bill, prison is just a party where nobody gives you presents and everybody guards the door forever. We need a better plan than fear. We will wait until the parents are busy watching the puppet show, then we will grab the presents and run towards the getaway shopping trolley fast." "What getaway shopping trolley? That thing squeaks, wobbles, and has one wheel that only turns left. We will be caught before we reach the corner. We need something faster, quieter, and much more heroic, like a borrowed bicycle with bells and a tiny basket for the loot, please believe me." "Fine, Bill. Bicycle it is. You pedal, I sit on the handlebars with the presents, and we ride into the sunset like heroes in a very silly heist movie. Everyone will think we are just two joyful friends leaving early because the party was simply too much fun. Let's go."
created_at"2026-11-11T11:04:06.033Z" 11/11/2026, 11:04:06 AM
model"meta/muse-ember-20261109"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1725
moderation_latency(null)
generation_time11747
tokens_prompt75
tokens_completion929
native_tokens_prompt69
native_tokens_completion6969
native_tokens_completion_images0
native_tokens_reasoning6185
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"
usage0.0034914
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.22.2; linux; x64))"
http_referer(null)
request_id"req-1794395046-7r6iiMxnrhdC0EjgCzMS"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1794395046-i95C968gGU8NxYl5RJcT"
upstream_id"resp_6af44ba6558e0c54a08341f2"
provider_responses
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endpoint_id"ea8469c2-ddf8-4985-8cf2-f5dc7e63e14c"
id"resp_6af44ba6558e0c54a08341f2"
is_byokfalse
latency856
model_permaslug"meta/muse-ember-20261109"
provider_name"Meta"
status200
total_cost0.0034914
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%