Run: 2026-11-11-01M7541KH84S3NV7ZNQNPFPEJY

Run Details

Duration:
7.5s
Cost:
$0.002260
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 90% 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 said "Okay Bill tonight we sneak into Timmy's birthday party and grab every present wrapped under that big table." Bill said "Perfect Molly but the clown knows my face after last year's balloon incident and angry cops everywhere today." Molly said "Then wear this big fake mustache and glasses and pretend to be the new entertainer named Professor Giggles." Bill said "Brilliant nobody will ever suspect the entertainer because children constantly scream loudly and adults love free magic shows." Molly said "We will distract them with glitter bombs while I stuff toys into this suspiciously large hollow birthday cake." Bill said "And I will pretend to do balloon animals until the parents hand me every single expensive gift box." Molly said "Remember we split the loot fairly after escaping through the bounce house and stealing that tiny escape car." Bill said "That car only goes two miles per hour but we can outrun grandmas if we bring juice boxes." Molly said "Deal partner tonight we become notorious legends of crime and very tiny cake thieves across the entire neighborhood." Bill said "Yellow sunglasses on then let's rob a party grab the presents and eat cake without any regrets whatsoever."
created_at"2026-11-11T10:56:47.151Z" 11/11/2026, 10:56:47 AM
model"meta/muse-ember-20261109"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1492
moderation_latency(null)
generation_time7457
tokens_prompt75
tokens_completion440
native_tokens_prompt69
native_tokens_completion4507
native_tokens_completion_images0
native_tokens_reasoning4160
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"
usage0.0022604
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.22.2; linux; x64))"
http_referer(null)
request_id"req-1794394607-SzFCzuwwdndVnBEqvdzr"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1794394607-HhWx25tdcn9UOFkzcgPY"
upstream_id"resp_6af449efa7418b394b074f66"
provider_responses
0
endpoint_id"ea8469c2-ddf8-4985-8cf2-f5dc7e63e14c"
id"resp_6af449efa7418b394b074f66"
is_byokfalse
latency693
model_permaslug"meta/muse-ember-20261109"
provider_name"Meta"
status200
total_cost0.0022604
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: 90.00%, Deviation: 0.00%
neededCleanfalse
wordsTotal200
wordsDialogue180
100.0000%