Run: 2026-11-11-01M755ZK9QGAPK20M8RY3SDCEM

Run Details

Duration:
10.0s
Cost:
$0.002907
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 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 mask and handed Bill a glittery crowbar. "In at three, out by cake," she said. Bill nodded, holding a sack printed with rainbows. "The parents will be distracted by the magic show," he whispered. Molly checked her watch, then a stolen party schedule. "Balloons at the front, presents by the back table, guards distracted by juice boxes." Bill grinned at the plan. "What about the children?" he asked. Molly shrugged, already rehearsing her innocent smile. "They will be busy with pin the tail and pass the parcel, totally clueless." Bill peeked through the window at the birthday banner. "That cake looks fake," Bill said. Molly slipped a toy whistle into her pocket for luck. "Distraction is everything," she replied. "You be the clown, I will grab the big shiny box." Bill saluted, trying not to trip over his oversized shoes. Bill adjusted his clown nose and practiced a goofy honk. "Remember, grab anything wrapped, ignore the cards, run when the music stops, the lights go out, and nobody sees us at all tonight," Molly said. "And if we get caught?" he muttered. Molly pushed open the squeaky gate. "Then we pretend this was community service," she laughed.
created_at"2026-11-11T11:30:38.527Z" 11/11/2026, 11:30:38 AM
model"meta/muse-ember-20261109"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2974
moderation_latency(null)
generation_time9931
tokens_prompt75
tokens_completion312
native_tokens_prompt69
native_tokens_completion5800
native_tokens_completion_images0
native_tokens_reasoning5505
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"
usage0.0029069
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.22.2; linux; x64))"
http_referer(null)
request_id"req-1794396638-FF5Lwz80AM3FiXR2EhCD"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1794396638-EMmeWvTVXMOHOjGzqcHN"
upstream_id"resp_6af451e042a1f8eb0ba04116"
provider_responses
0
endpoint_id"ea8469c2-ddf8-4985-8cf2-f5dc7e63e14c"
id"resp_6af451e042a1f8eb0ba04116"
is_byokfalse
latency2252
model_permaslug"meta/muse-ember-20261109"
provider_name"Meta"
status200
total_cost0.0029069
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: 50.00%, Deviation: 0.00%
neededCleanfalse
wordsTotal200
wordsDialogue100
100.0000%