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Run: 2026-10-13-01M4T9WG1SHK7TM08QX51VP6AS
Run Details
Model:
Muse Wonder (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 500 words with 30% dialogue
Duration:
24.4s
Cost:
$0.085512
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 500 word scene that has 30% 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
Messages
Meta
AI
The alley behind the bakery smelled of sugar, rain, and questionable decisions that morning. Molly unfolded a crayon map across the dented hood and announced, "We hit the Henderson house at three on Saturday afternoon during cake." Bill squinted at the drawing, which showed a house, seven stick children, and a suspiciously detailed getaway van. He tapped the cake drawn beside the front door and asked, "Why three exactly, and why not wait until the parents leave?" Molly grinned with the calm confidence of a woman who had once stolen a parade float. She pointed toward the red circle near the garden fence and explained, "Because three is when the clown arrives and everyone watches him." Bill recoiled as though the clown had already entered the alley and judged his life choices. He shuddered dramatically and replied, "I hate clowns, Molly, especially ones with squeaky shoes and balloons." From her tote bag, Molly produced a folded costume covered in stars, bells, and one mysterious stain. She tossed it onto his chest and said, "You will wear the spare clown suit and distract them." Bill held the fabric at arm length while a tiny bell rang mournfully in the breeze. He sniffed once and complained, "That suit smells like soup and old regret and mothballs." Molly ignored his suffering, reached deeper into the bag, and produced three rubber chickens wearing sunglasses. She lined them up like soldiers and instructed, "Then hold your breath and juggle these three rubber chickens." Bill picked up one chicken, squeezed it accidentally, and apologized to it twice before answering. "I cannot juggle, and those chickens look deeply judgmental today." Molly nodded approvingly, because humiliation had always been the most reliable distraction in their partnership. She folded her arms and said, "Perfect, because children love watching a man fail in public." Bill watched a pigeon steal a crumb shaped exactly like his remaining dignity that afternoon. He pointed at the map and asked, "While you sneak through the kitchen and grab every present?" Molly produced a hollow pinata shaped like a donkey wearing a party hat and sunglasses. She knocked twice on its belly and confirmed, "Exactly, I will stack them inside the giant pinata shell." Bill measured the pinata against his memory of their cramped car and shook his head slowly. He frowned and warned, "That pinata barely fits through our car door on Tuesdays." Molly drew a bold arrow down the Henderson driveway, across the lawn, and toward the quiet street. She capped her crayon triumphantly and declared, "Then we roll it downhill toward the getaway van quickly." Bill considered the plan, the clown suit, the chickens, and his long history of terrible Saturdays. He sighed and said, "Fine, but if anyone offers me cake, I am leaving." Molly smiled, rolled the map into a tube, and tapped his shoulder like a tiny general. She winked and answered, "Deal, now honk sadly twice." Bill lifted the squeaky horn, honked twice, and immediately regretted every decision.
created_at
"2026-10-13T09:35:48.804Z"
10/13/2026, 9:35:48 AM
model
"meta/muse-wonder-20261012"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
2345
moderation_latency
(null)
generation_time
24382
tokens_prompt
75
tokens_completion
775
native_tokens_prompt
68
native_tokens_completion
4262
native_tokens_completion_images
0
native_tokens_reasoning
3607
native_tokens_cached
0
num_media_prompt
(null)
num_input_audio_prompt
(null)
num_media_completion
0
num_search_results
(null)
num_fetches
(null)
web_search_engine
(null)
origin
"https://ncbench.com/"
is_byok
false
finish_reason
"stop"
native_finish_reason
"completed"
service_tier
"auto"
usage
0.085512
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer
(null)
request_id
"req-1791884148-9ieceY9VtKktivF05qCl"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1791884148-Hcdt0NeZwUiYWAkylPo1"
upstream_id
"resp_6acdfb7554f0550218024268"
provider_responses
0
endpoint_id
"1232618d-ebfe-4338-9b68-d9127a57c8dd"
id
"resp_6acdfb7554f0550218024268"
is_byok
false
latency
640
model_permaslug
"meta/muse-wonder-20261012"
provider_name
"Meta"
status
200
total_cost
0.085512
cache_discount
(null)
upstream_inference_cost
0
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
neededClean
false
words
500
100.00%
Dialogue to Total Word Ratio
Ratio: 30.00%, Deviation: 0.00%
neededClean
false
wordsTotal
500
wordsDialogue
150
100.0000%