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Run: 2026-11-11-01M753ANGRPDMNPMZM804019NY
Run Details
Model:
Muse Ember (Reasoning, Max)
Test:
Dialogue tags
Scenario:
Write 500 words with 30% dialogue
Duration:
11.4s
Cost:
$0.003954
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 was already dressed like a birthday clown when Bill finally arrived at the garden gate. "You are late, Bill, and I told the neighbors I was your cousin from the circus," Molly whispered. Bill adjusted his fake moustache and tried to look casual while holding a tiny lockpick shaped like a balloon dog. "The plan is simple," Bill said. "We walk in, we sing happy birthday, we grab the presents, and we leave before anyone notices." "That is not a plan, Bill," Molly replied. "That is a birthday song with theft sprinkled on top like cheap confetti." Behind them, the backyard sparkled with balloons, a bouncy castle, and a table groaning under a mountain of brightly wrapped boxes. "Look at that," Bill whispered. "There is a robot, a train set, and something huge that squeaks when you poke it." Molly nodded with the serious expression of a general studying enemy troops, which for her meant squinting and chewing gum very thoughtfully. "We need a distraction," Molly said. "Something loud, something messy, something that makes the parents blame the cake." "I have just the thing," Bill announced proudly. "A whoopee cushion, three rubber ducks, and a pigeon I bribed with crumbs this morning." Molly stared at him in silence while a toddler in a dinosaur costume charged past them waving a juice box like a sword. "Bill, that is not a distraction, that is a tiny parade with delusions of grandeur," Molly said. Bill shrugged and produced a cardboard cannon from his backpack, which he had painted to look like a real pirate cannon. "Confetti cannon," Bill explained. "We fire it, everyone looks, we scoop the presents into these pillowcases, and we tiptoe away." They slipped behind the shed and inflated the cannon with a bicycle pump stolen from a very confused neighbor. Molly tested the pillowcases by stuffing three beach balls inside and deciding she looked like a very lumpy astronaut. Bill practiced his innocent face in a shiny garden gnome, which only made him look like a gnome with guilt. When the appointed moment arrived, Molly wheeled the cannon to the edge of the patio and aimed it directly at the present table. Bill lit the fuse, which was actually a string of birthday candles tied together with heroic optimism and masking tape. The cannon exploded with confetti, streamers, and one rubber duck that bonked a dad on the forehead with surprising precision. Children screamed with delight, parents grabbed for cameras, and the birthday star burst into happy tears at the magnificent mess. Molly and Bill moved like graceful spies on roller skates, scooping presents into pillowcases while avoiding a toddler on a tricycle. A robot went in, a train set went in, and the huge squeaky thing went in after a brief and undignified struggle. "Alright, let's go now, very quietly," Molly said as they melted into the hedge and vanished down the alley with their loot, pursued only by applause and one brave very determined balloon.
created_at
"2026-11-11T10:44:15.68Z"
11/11/2026, 10:44:15 AM
model
"meta/muse-ember-20261109"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1631
moderation_latency
(null)
generation_time
11145
tokens_prompt
75
tokens_completion
940
native_tokens_prompt
69
native_tokens_completion
7894
native_tokens_completion_images
0
native_tokens_reasoning
7098
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
0.0039539
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.22.2; linux; x64))"
http_referer
(null)
request_id
"req-1794393855-tLIBeugz1uyR7zK6fiQW"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1794393855-vaG30WjlB3biyvd4RYnc"
upstream_id
"resp_6af447008767673f965948a5"
provider_responses
0
endpoint_id
"ea8469c2-ddf8-4985-8cf2-f5dc7e63e14c"
id
"resp_6af447008767673f965948a5"
is_byok
false
latency
642
model_permaslug
"meta/muse-ember-20261109"
provider_name
"Meta"
status
200
total_cost
0.0039539
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%