Run: 2026-11-11-01M755AJ50J3FA2V2AVDRSWGTD

Run Details

Duration:
10.6s
Cost:
$0.002448
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 outside the brightly decorated community hall while Bill nervously checked his watch. "We are definitely not the entertainment," Molly said. Bill replied, "Then why are we wearing clown noses and rainbow wigs?" A bouncy castle loomed nearby like a tamed dragon. Molly whispered, "The plan is simple, Bill." "We walk in, we sing badly, and nobody questions the backup dancers." "And when the presents appear?" Bill pointed toward a table sagging beneath glittering boxes, balloons, and one enormous suspiciously lumpy teddy bear. "We grab them all, obviously." She produced a laundry basket disguised with ribbons and a sign reading Totally Normal Birthday Trash. "That sign says trash, Molly." "Exactly. No parent investigates trash." A party clown juggled flaming torches beside them, unaware that Molly and Bill were silently practicing innocent smiles. "What about the bouncy castle guard?" "He is six. We can bribe him with cake." Bill nodded solemnly, as if negotiating with a tiny mafia boss in dinosaur pajamas. Bill grinned quite widely. "On my mark, we march straight toward cake." "And if anyone asks, we are the entertainment." "Perfect. Let us become legends of children parties." "Ready, Bill? Let us steal absolutely everything today."
created_at"2026-11-11T11:19:09.223Z" 11/11/2026, 11:19:09 AM
model"meta/muse-ember-20261109"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency4047
moderation_latency(null)
generation_time10276
tokens_prompt75
tokens_completion335
native_tokens_prompt69
native_tokens_completion4882
native_tokens_completion_images0
native_tokens_reasoning4580
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"
usage0.0024479
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.22.2; linux; x64))"
http_referer(null)
request_id"req-1794395949-gxL8InnEIQzHlpdoEakh"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1794395949-nZIz8VrRNjYk1XpIVPD9"
upstream_id"resp_6af44f30d70ff179c8854b0c"
provider_responses
0
endpoint_id"ea8469c2-ddf8-4985-8cf2-f5dc7e63e14c"
id"resp_6af44f30d70ff179c8854b0c"
is_byokfalse
latency3517
model_permaslug"meta/muse-ember-20261109"
provider_name"Meta"
status200
total_cost0.0024479
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%