Run: 2026-11-11-01M754C2J03Q803YD1STSK6N7Q

Run Details

Duration:
6.6s
Cost:
$0.001873
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 200 word scene that has 10% 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 tugged at her cardboard mustache while Bill squeezed into a clown suit two sizes too small for his optimistic shoulders. They hid behind a wilting balloon arch outside the community hall, watching toddlers wobble past with juice boxes and sticky fingers. "The plan is simple: we pop in, grab every present, and vanish before cake," Molly whispered. "What about the seven tiny witnesses?" Bill hissed. Molly pointed toward the door where a birthday banner sagged over a table overflowing with lopsided toys. Inside, a magician in star spangled pants dropped his wand into a bowl of noodles and blamed a very confused raccoon. Bill practiced his juggling with three suspiciously heavy muffins, sneezing whenever powdered sugar drifted toward his nose. Molly charted escape routes across a napkin, marking the bouncy castle, the sticker station, and the punch table guarded by a volunteer in a concerned apron. Their getaway vehicle, a borrowed wagon, waited nearby with one wobbly wheel and a squeaky handle that cursed every bump. Still, confidence glowed. If they timed their entrance between pinata swings, they could load the wagon quietly, then roll away during the inevitable diaper emergency. Nobody would suspect cartoonish adults sprinting like tricycles.
created_at"2026-11-11T11:02:30.214Z" 11/11/2026, 11:02:30 AM
model"meta/muse-ember-20261109"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2150
moderation_latency(null)
generation_time6544
tokens_prompt75
tokens_completion428
native_tokens_prompt69
native_tokens_completion3733
native_tokens_completion_images0
native_tokens_reasoning3363
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"
usage0.0018734
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.22.2; linux; x64))"
http_referer(null)
request_id"req-1794394950-OhlHpqA0RQe62AhIUdK9"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1794394950-S2HOhMBFc4QNKlcg9PYz"
upstream_id"resp_6af44b47dd5f7e4013b24f7d"
provider_responses
0
endpoint_id"ea8469c2-ddf8-4985-8cf2-f5dc7e63e14c"
id"resp_6af44b47dd5f7e4013b24f7d"
is_byokfalse
latency1081
model_permaslug"meta/muse-ember-20261109"
provider_name"Meta"
status200
total_cost0.0018734
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
words200
100.00% Dialogue to Total Word Ratio
Ratio: 10.00%, Deviation: 0.00%
neededCleanfalse
wordsTotal200
wordsDialogue20
100.0000%