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Run: 2026-11-11-01M756667MMRASBSQRKKX2HJCK
Run Details
Model:
Muse Ember (Reasoning, Max)
Test:
Dialogue tags
Scenario:
Write 500 words with 30% dialogue
Duration:
9.7s
Cost:
$0.003463
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 and Bill crouched behind the hedge watching the backyard party through gaps in the leaves. "That cake has four layers," Molly whispered. Bill nodded and pointed at the table of presents with solemn respect. "We are here for every single box," Bill whispered. Children shrieked with joy as a clown juggled rubber chickens across the lawn. "The plan is simple and flawless," Molly said. Bill opened a notebook filled with terrible drawings of balloons and sandwiches. "First we distract the adults with music," Bill said. Molly pulled out a kazoo and a tiny drum from her enormous bag. "Second I create chaos with a kazoo solo," Molly said. An adult nearby sneezed and almost noticed the two suspicious figures. "Third we wear disguises and blend in," Bill said. Molly produced two fake moustaches made from old cat toys. "Fourth we load the presents into my wagon," Molly said. Bill stared at the wagon which was bright red and squeaky. "Fifth we escape on tricycles at full speed," Bill said. A small boy ran past the hedge chasing a bubble across the grass. "That was almost a disaster," Molly whispered. Bill held his breath until the boy returned to the bouncy castle. "We struck fear into no one today," Bill said. Molly adjusted her disguise and practiced a friendly party smile. "Do I look like a concerned mother now," Molly asked. Bill squinted and tried to imagine concern through a fake beard. "You look like a potato wearing sunglasses," Bill said. Molly removed the sunglasses and considered a more convincing approach. "Maybe I should carry juice boxes as camouflage," Molly said. Bill nodded wisely as if juice boxes had won many wars. "Excellent idea and the children will trust us completely," Bill said. A magician pulled a rabbit from a hat while parents applauded loudly. "The rabbit could be our getaway driver," Molly said. Bill wrote the word getaway beside a drawing of the rabbit. "We will also need a secret handshake for emergencies," Bill said. Molly extended her hand and Bill slapped it with great confidence. "That handshake was impressive and slightly painful," Molly said. They peered over the hedge again as the party reached its chaotic peak. "The presents are stacked like treasure," Molly whispered. Bill counted the boxes quietly and lost count around nineteen. "There are at least twenty shiny boxes," Bill said. Molly smiled with evil delight and rubbed her hands together dramatically. "Tonight we become legends of this quiet street," Molly said. Bill saluted her bravery and dramatically adjusted his own fake moustache. "We shall meet again at midnight," Bill said. Molly nodded and squeezed the squeaky wagon handle with determination. A balloon popped nearby and both thieves jumped in fright. They hid behind the hedge until the noise faded completely away. Children sang loudly and the clown attempted a funny dance routine. Molly checked her watch and whispered about perfect timing for sneaking. Bill tightened his old disguise and awaited glorious mischievous victory tomorrow.
created_at
"2026-11-11T11:34:14.521Z"
11/11/2026, 11:34:14 AM
model
"meta/muse-ember-20261109"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1303
moderation_latency
(null)
generation_time
9648
tokens_prompt
75
tokens_completion
917
native_tokens_prompt
69
native_tokens_completion
6913
native_tokens_completion_images
0
native_tokens_reasoning
6159
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
0.0034634
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.22.2; linux; x64))"
http_referer
(null)
request_id
"req-1794396854-vBb4RsC2WzriwdJnY6g2"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1794396854-5gel4CUbKeYoMTKdvaVT"
upstream_id
"resp_6af452b67fc47657bdd14055"
provider_responses
0
endpoint_id
"ea8469c2-ddf8-4985-8cf2-f5dc7e63e14c"
id
"resp_6af452b67fc47657bdd14055"
is_byok
false
latency
502
model_permaslug
"meta/muse-ember-20261109"
provider_name
"Meta"
status
200
total_cost
0.0034634
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%