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Run: 2026-11-11-01M755NN5MBC8W9KNCANPQAP4J
Run Details
Model:
Muse Ember (Reasoning, Max)
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
9.7s
Cost:
$0.003042
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 90% 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 whispered to Bill, her nervous partner, while they crouched behind the fence watching the kids birthday party unfold nearby. "Bill, look at that mountain of presents. We steal everything." "Molly, are you serious? Those parents will call the police." "Relax, Bill. We wear disguises and pretend we are clowns." "Clowns? Molly, that birthday kid chased us screaming last time." "Exactly. Kids love clowns, so nobody question us at all." "What about the bouncy castle? It looks guarded by dads." "Those dads will be busy arguing about football and barbecue." "The cake, Molly? That thing is bigger than us combined." "We hide inside the cake until the party ends tonight." "That is genius, Molly. Nobody expects thieves inside giant cakes." "Then we grab the presents, sneak past the sleeping dog." "Wait, Molly, what if the dog wakes up and barks?" "We distract it with a sausage, Bill. Trust me completely." "Where is a sausage, Molly? We have no money left." "The barbecue, Bill. There are sausages everywhere near those dads." "Okay, Molly, you are the criminal mastermind. I follow you." "Great, Bill. Then tonight we become legends of kids parties." "We will finally afford that vacation we always wanted desperately."
created_at
"2026-11-11T11:25:12.761Z"
11/11/2026, 11:25:12 AM
model
"meta/muse-ember-20261109"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1102
moderation_latency
(null)
generation_time
9679
tokens_prompt
75
tokens_completion
328
native_tokens_prompt
69
native_tokens_completion
6071
native_tokens_completion_images
0
native_tokens_reasoning
5771
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
0.0030424
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.22.2; linux; x64))"
http_referer
(null)
request_id
"req-1794396312-5Kjzb4Ai4WcX0pWVsmTS"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1794396312-L2sd3MyVgDeyB9BTSOl2"
upstream_id
"resp_6af45099d84cd317a32642eb"
provider_responses
0
endpoint_id
"ea8469c2-ddf8-4985-8cf2-f5dc7e63e14c"
id
"resp_6af45099d84cd317a32642eb"
is_byok
false
latency
325
model_permaslug
"meta/muse-ember-20261109"
provider_name
"Meta"
status
200
total_cost
0.0030424
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: 90.00%, Deviation: 0.00%
neededClean
false
wordsTotal
200
wordsDialogue
180
100.0000%