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Run: 2026-11-11-01M755PK6GA07Y9XZMRR3YA8GX
Run Details
Model:
Muse Ember (Reasoning, Max)
Test:
Dialogue tags
Scenario:
Write 500 words with 30% dialogue
Duration:
15.8s
Cost:
$0.006028
Provider:
Meta
Evaluation summary
Score
Evaluator
Details Link
100.00%
Matches word count
(details)
99.90%
Dialogue to Total Word Ratio
(details)
99.9512%
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 spread the party invitation across the kitchen table as Bill sharpened a candy cane into something resembling a lockpick. "There are forty-seven presents upstairs inside that cardboard castle guarded by three very big balloons." Bill nodded solemnly, because in his experience balloons had ended more heists than police ever. Molly tapped the invitation with impatience while Bill chewed communion wafers, testing them as fake mustaches for later disguises today. "They taste like cardboard, Molly, which means this plan is already very truly method acting." Molly rolled her eyes and pointed at the guest list, naming Wayne the cake guard. Bill studied the invitation again, counting favor bags and wondering which toys brought the best resale value. "We enter through the laundry room, grab the castle, and roll it toward the van." It sounded simple, which in Molly's experience meant someone would eventually vomit on the plan, probably literally once. Bill produced a child's treasure map, stolen from a cereal box, and laid it proudly beside the invitation. "X marks the presents, Molly, and Wayne's cake is the final boss protecting that X." Molly considered the map, the castle, and Wayne, then decided the cake boss was negotiable after all. Dwight the retired policeman patrolled his yard nightly with a garden gnome, a thermos, and endless suspicion. "We distract Dwight with the gnome and send Bill through the laundry window disguised quickly." Bill pictured himself as a lost parent, then remembered crying when the birthday clown suddenly vanished during magic. Molly produced two helium balloons, a length of string, and a laminated photo of Bill wearing a smaller hat. "This hat made me look trustworthy, so the laundry window will never suspect me today." Molly tied the balloons to Bill, who floated upward and knocked over a lamp beside him. They practiced the heist in the living room, stepping over stuffed animals and whispering instructions about juice boxes and napkins. "Grab the big presents first, Bill, because they contain bikes, drones, and possibly a goat." Bill wrote goat on the list, then underlined it twice because goats resold well downtown. The party started at noon, with cake, musical chairs, and a bouncy castle squeaking like a dying accordion. "We pose as entertainers, Molly, doing balloon animals while filling our van with wrapped treasure." Molly practiced a balloon dog, produced a poodle instead, and decided poodles looked expensive to distract parents. Bill's balloon giraffe collapsed, covered the fence with rubber, and convinced Dwight to join their rehearsal. "Dwight makes a lookout, Molly, since he already suspects every single child at that party." Molly handed Dwight a juice box, a whistle, and a cardboard badge, promoting him to chief present protection officer. At midnight they tested the laundry window, discovered it was painted shut, and switched to the cat flap. "We squeeze through the cat flap, Bill, and presents are ours before breakfast, I promise." Bill nodded, adjusted his tiny hat, and declared the cardboard castle of presents doomed for tomorrow morning.
created_at
"2026-11-11T11:25:43.512Z"
11/11/2026, 11:25:43 AM
model
"meta/muse-ember-20261109"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1709
moderation_latency
(null)
generation_time
15726
tokens_prompt
75
tokens_completion
1018
native_tokens_prompt
69
native_tokens_completion
12043
native_tokens_completion_images
0
native_tokens_reasoning
11204
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
0.0060284
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.22.2; linux; x64))"
http_referer
(null)
request_id
"req-1794396343-JzjIjVMRz8KoNFkUMBXN"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1794396343-BoPXkFYqo8NTJwbdhuQ8"
upstream_id
"resp_6af450b8dab229d92e554d70"
provider_responses
0
endpoint_id
"ea8469c2-ddf8-4985-8cf2-f5dc7e63e14c"
id
"resp_6af450b8dab229d92e554d70"
is_byok
false
latency
993
model_permaslug
"meta/muse-ember-20261109"
provider_name
"Meta"
status
200
total_cost
0.0060284
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
99.90%
Dialogue to Total Word Ratio
Ratio: 30.14%, Deviation: 0.14%
neededClean
false
wordsTotal
501
wordsDialogue
151
99.9512%