Run: 2026-11-11-01M756494RK76JNPZWEPW344WD

Run Details

Duration:
7.2s
Cost:
$0.001828
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 tiny black mask while Bill practiced looking innocent beside the cake trolley. "Okay, Bill, plan one: we creep past the bouncy castle, distract the clown with this runaway ferret, and grab the presents." They had studied the party invitation for three whole days, memorizing decorations, balloons, and the location of every wrapped present stacked in the corner. "I love plan one, but why is the ferret wearing my tiny police hat and looking extremely smug about everything?" Bill still wore his fake mustache, which kept sliding into his mouth whenever he tried to whisper important instructions loudly. "Because he earned it after the museum job, when he scared the guard away by stealing his sandwiches and shiny keys." Outside, parents chatted, children screamed happily, and a clown juggling pies prepared a spectacular surprise for everyone. "Fair point. Then I will carry the loot bag, you carry the escape ladder, and we both pretend we are extremely lost toddlers." Molly knew stealth required patience, timing, and absolutely no dramatic gasping when the birthday song finally began playing very loudly. "On my signal, we steal everything before anyone notices us missing from the cake line." Bill nodded seriously anyway.
created_at"2026-11-11T11:33:11.966Z" 11/11/2026, 11:33:11 AM
model"meta/muse-ember-20261109"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2143
moderation_latency(null)
generation_time7177
tokens_prompt75
tokens_completion329
native_tokens_prompt69
native_tokens_completion3643
native_tokens_completion_images0
native_tokens_reasoning3371
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"
usage0.0018284
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.22.2; linux; x64))"
http_referer(null)
request_id"req-1794396791-oUPAJp2qKMDh8eSzjLpr"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1794396791-NeN7uq1de7gJ0OiDRjVJ"
upstream_id"resp_6af45278304a379e2bf74188"
provider_responses
0
endpoint_id"ea8469c2-ddf8-4985-8cf2-f5dc7e63e14c"
id"resp_6af45278304a379e2bf74188"
is_byokfalse
latency1054
model_permaslug"meta/muse-ember-20261109"
provider_name"Meta"
status200
total_cost0.0018284
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%