Run: 2026-10-13-01M4T9W98T52KZVTQ84NC7CJRF

Run Details

Duration:
15.6s
Cost:
$0.056572
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 crouched behind the garden hedge, watching balloons bob above the fence while Bill unfolded a crayon map of the birthday house and smoothed it flat against the damp grass nervously. “We wait until cake time, then slip through the kitchen door and grab every present.” Bill nodded, adjusting his tiny party hat and checking the empty pillowcases they planned to fill. “What if the children notice us sneaking past the magician with sacks full of toys?” Molly grinned and produced two clown noses from her pocket. “We wear these masterful disguises, blend in perfectly, and nobody suspects cheerful clowns carrying presents toward exits.” Bill frowned at the bouncy castle blocking their escape route. “That inflatable fortress worries me because fleeing thieves and bouncing toddlers make a terribly noisy combination.” Molly pointed toward the side gate and the waiting getaway tricycle. “We roll out quietly during musical chairs, toss everything into baskets, and pedal away before anyone notices.” Bill saluted solemnly, then tripped over a garden gnome and landed facedown in sprinkles. “Perfect, though I still refuse to fight any child for the last shiny bicycle.” Molly laughed softly and shook her head twice. “Agreed, we steal only unattended gifts.”
created_at"2026-10-13T09:35:41.861Z" 10/13/2026, 9:35:41 AM
model"meta/muse-wonder-20261012"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2526
moderation_latency(null)
generation_time15579
tokens_prompt75
tokens_completion433
native_tokens_prompt68
native_tokens_completion2815
native_tokens_completion_images0
native_tokens_reasoning2453
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"auto"
usage0.056572
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791884141-bfKCeb16VNOasFybt5Ht"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791884141-HeIYrdjquJLdzJtWZvaa"
upstream_id"resp_6acdfb6e54fe532871e54f81"
provider_responses
0
endpoint_id"1232618d-ebfe-4338-9b68-d9127a57c8dd"
id"resp_6acdfb6e54fe532871e54f81"
is_byokfalse
latency988
model_permaslug"meta/muse-wonder-20261012"
provider_name"Meta"
status200
total_cost0.056572
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%