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Run: 2026-11-11-01M755AGTRBVYXX678WSWX6P79
Run Details
Model:
Muse Ember (Reasoning, Max)
Test:
Dialogue tags
Scenario:
Write 500 words with 30% dialogue
Duration:
15.5s
Cost:
$0.005095
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
Molly had cased the birthday party for three whole minutes, which proved her professionalism and also her lack of patience. Molly said, "Okay, Bill, the plan is simple: we wait for singing, then we sneak in and grab the presents." Bill asked, "What about the bouncy castle?" Molly whispered, "We bounce. We are children at heart. It is camouflage." Bill said, "And the piñata?" Molly said, "We become the piñata. Then we fall down and presents spill out." Bill grinned and said, "Brilliant. The little gremlins will never suspect adults wearing juice box hats." Molly nodded, "Exactly. Juice box hats were two for one at the party shop." Bill adjusted his juice box hat and asked, "Do I look suspicious?" Molly said, "You look like a dad who lost a bet. Perfect." Bill said, "When do we strike?" Molly said, "At pin the tail time. Everyone will be blindfolded and dizzy." Bill said, "That gives us fourteen seconds. Maybe fifteen if glitter helps." Molly said, "Glitter always helps. Now bring the getaway wagon." Bill said, "The wagon is a red wagon. It has one squeaky wheel." Molly said, "Even better. We will call it a tactical squeak." Bill said, "What if they sing Happy Birthday twice?" Molly said, "Then we eat cake." They crouched behind a plastic flamingo and watched the party through binoculars shaped like bananas. Inside, seventeen children screamed, ate sugar, and circled the presents like tiny sharks wearing cardboard crowns. Molly checked her watch, which was just a potato with a clock face drawn on it in marker. Bill practiced his innocent walk, bumped into a garden gnome, and decided gnomes were clearly security. When the candles arrived, the singing began and everyone went temporarily deaf, which was perfect timing. Molly and Bill tiptoed across the lawn, pushing the red wagon like a squeaky getaway submarine. A balloon animal whispered welcome from a bush, but they pretended not to hear its betrayal. They reached the present table and stared at the glorious pile of shiny boxes and bows. Bill lifted the biggest box and discovered it contained a live chicken wearing a tiny party hat. Molly swapped the chicken for a remote control car and immediately drove it into the dip. The car returned wearing onion dip like armor and begged for mercy in cheerful electronic beeps. Success was close, because their plan involved only stealing, sneaking, and absolutely no glitter explosions. Then a toddler pointed at Bill and shouted thief, which was technically accurate but socially inconvenient. Every child turned at once, and the adults looked up from their coffee like waking bears. Molly threw confetti, which helped, and Bill loaded the wagon while everyone cheered for the show. They escaped at top speed, which was walking speed, squeaking triumphantly toward the open gate. Behind them, the birthday girl blew out candles, wished for new presents, and stared at the empty table with great suspicion. Molly and Bill celebrated by splitting one cupcake and feeling delighted.
created_at
"2026-11-11T11:19:07.87Z"
11/11/2026, 11:19:07 AM
model
"meta/muse-ember-20261109"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1709
moderation_latency
(null)
generation_time
15435
tokens_prompt
75
tokens_completion
970
native_tokens_prompt
69
native_tokens_completion
10176
native_tokens_completion_images
0
native_tokens_reasoning
9326
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
"default"
usage
0.0050949
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.22.2; linux; x64))"
http_referer
(null)
request_id
"req-1794395947-5ovk6t95N67HIylmAg0d"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1794395947-SxFMiDuq3ch1k6D61iQJ"
upstream_id
"resp_6af44f2c14e97a16fb9947e0"
provider_responses
0
endpoint_id
"ea8469c2-ddf8-4985-8cf2-f5dc7e63e14c"
id
"resp_6af44f2c14e97a16fb9947e0"
is_byok
false
latency
922
model_permaslug
"meta/muse-ember-20261109"
provider_name
"Meta"
status
200
total_cost
0.0050949
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%