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Run: 2026-11-11-01M754K83F7CN5TYTY0S044JT7
Run Details
Model:
Muse Ember (Reasoning, Max)
Test:
Dialogue tags
Scenario:
Write 500 words with 50% dialogue
Duration:
12.0s
Cost:
$0.002922
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 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 black mask while Bill practiced a cheerful birthday smile in the cracked mirror above the sink for the dangerous mission ahead tonight. "Tonight we infiltrate the party, snatch every present, and disappear before anyone notices us because parents will be busy cutting cake and chasing toddlers everywhere." Bill nodded seriously and tapped the floor plan pinned to the fridge with a plastic bubble wand he had stolen from a previous party yesterday. "Right, we enter through the garden gate, avoid the clown, and grab the biggest boxes first because valuable toys always hide under weak wrapping paper." Molly pulled a toy stethoscope from her bag and listened dramatically to the wall where birthday music thumped from the excited children inside the hall. "I hear forty children screaming, one tired magician, and zero adults watching the side entrance so that gives us perfect cover for sneaking indoors quickly." Bill opened his backpack and revealed party hats, fake mustaches, juice boxes, and a suspiciously large empty sack for carrying loot without looking very suspicious. "These disguises will fool everyone, especially if we sing loudly and act like lost uncles who somehow brought extra presents for the birthday child today." Molly tested her fake mustache, sneezed at the glue, and reconsidered whether facial hair was worth the risk during such a delicate and embarrassing operation. "First we steal the roller skates, then the train set, then that enormous plastic castle because resale values remain high among desperate neighborhood parents everywhere." Bill wrote a checklist on a napkin while trying not to step on a squeaky rubber chicken that Molly had hidden inside his left shoe. "What about the giant stuffed bear wearing a tiny crown and sunglasses that would surely be the perfect disguise for sneaking gifts out without suspicion?" Molly considered the bear idea, then nodded slowly because she had already sewn pockets into its belly specifically for transporting stolen batteries and candy bars. "Brilliant, you wear the bear, I wear the clown nose, and we waddle toward the exit while pretending we are mascots entertaining the guests happily." Bill tried the bear costume on over his coat and immediately knocked over a chair and lamp while attempting a graceful spin near the kitchen. "This plan is flawless except for the clown, the magician, the parents, and the guard dog who apparently hates strangers and loud birthday songs intensely." Molly handed Bill a juice box, patted the bear head, and whispered instructions for the final approach through the garden while everyone sang happy birthday. "When the song starts, we move, when the cake arrives, we vanish, and when questioned, we blame the clown and hope nobody checks our story." Bill saluted with a sticky juice covered hand and promised to follow orders without further heroic improvisation unless something shiny appeared directly in his path. "Then let us waddle into legend, steal every present, and enjoy lemonade afterward before the children discover our brilliantly timed and slightly ridiculous escape tonight."
created_at
"2026-11-11T11:06:25.27Z"
11/11/2026, 11:06:25 AM
model
"meta/muse-ember-20261109"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
2752
moderation_latency
(null)
generation_time
12007
tokens_prompt
75
tokens_completion
955
native_tokens_prompt
69
native_tokens_completion
5830
native_tokens_completion_images
0
native_tokens_reasoning
5082
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
0.0029219
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.22.2; linux; x64))"
http_referer
(null)
request_id
"req-1794395185-UnhV4EpR9HtSQqK0Fv6a"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1794395185-o3S2R0x8AhOSlHJluiOo"
upstream_id
"resp_6af44c32347ede48a9d34478"
provider_responses
0
endpoint_id
"ea8469c2-ddf8-4985-8cf2-f5dc7e63e14c"
id
"resp_6af44c32347ede48a9d34478"
is_byok
false
latency
1694
model_permaslug
"meta/muse-ember-20261109"
provider_name
"Meta"
status
200
total_cost
0.0029219
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: 50.00%, Deviation: 0.00%
neededClean
false
wordsTotal
500
wordsDialogue
250
100.0000%