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Run: 2026-11-11-01M756494RK76JNPZWEPW344WD
Run Details
Model:
Muse Ember (Reasoning, Max)
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
7.2s
Cost:
$0.001828
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 adjusted her tiny black mask while Bill practiced looking innocent beside the cake trolley. "Okay, Bill, plan one: we creep past the bouncy castle, distract the clown with this runaway ferret, and grab the presents." They had studied the party invitation for three whole days, memorizing decorations, balloons, and the location of every wrapped present stacked in the corner. "I love plan one, but why is the ferret wearing my tiny police hat and looking extremely smug about everything?" Bill still wore his fake mustache, which kept sliding into his mouth whenever he tried to whisper important instructions loudly. "Because he earned it after the museum job, when he scared the guard away by stealing his sandwiches and shiny keys." Outside, parents chatted, children screamed happily, and a clown juggling pies prepared a spectacular surprise for everyone. "Fair point. Then I will carry the loot bag, you carry the escape ladder, and we both pretend we are extremely lost toddlers." Molly knew stealth required patience, timing, and absolutely no dramatic gasping when the birthday song finally began playing very loudly. "On my signal, we steal everything before anyone notices us missing from the cake line." Bill nodded seriously anyway.
created_at
"2026-11-11T11:33:11.966Z"
11/11/2026, 11:33:11 AM
model
"meta/muse-ember-20261109"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
2143
moderation_latency
(null)
generation_time
7177
tokens_prompt
75
tokens_completion
329
native_tokens_prompt
69
native_tokens_completion
3643
native_tokens_completion_images
0
native_tokens_reasoning
3371
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
0.0018284
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.22.2; linux; x64))"
http_referer
(null)
request_id
"req-1794396791-oUPAJp2qKMDh8eSzjLpr"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1794396791-NeN7uq1de7gJ0OiDRjVJ"
upstream_id
"resp_6af45278304a379e2bf74188"
provider_responses
0
endpoint_id
"ea8469c2-ddf8-4985-8cf2-f5dc7e63e14c"
id
"resp_6af45278304a379e2bf74188"
is_byok
false
latency
1054
model_permaslug
"meta/muse-ember-20261109"
provider_name
"Meta"
status
200
total_cost
0.0018284
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%