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Run: 2026-10-13-01M4T9W98T52KZVTQ84NC7CJRF
Run Details
Model:
Muse Wonder (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
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
Messages
Meta
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_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
2526
moderation_latency
(null)
generation_time
15579
tokens_prompt
75
tokens_completion
433
native_tokens_prompt
68
native_tokens_completion
2815
native_tokens_completion_images
0
native_tokens_reasoning
2453
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
0.056572
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_byok
false
latency
988
model_permaslug
"meta/muse-wonder-20261012"
provider_name
"Meta"
status
200
total_cost
0.056572
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
200
100.00%
Dialogue to Total Word Ratio
Ratio: 50.00%, Deviation: 0.00%
neededClean
false
wordsTotal
200
wordsDialogue
100
100.0000%