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Run: 2026-11-11-01M755PH9XYS8AHXQ2AMEVAPWX
Run Details
Model:
Muse Ember (Reasoning, Max)
Test:
Dialogue tags
Scenario:
Write 500 words with 30% dialogue
Duration:
9.3s
Cost:
$0.002853
Provider:
Meta
Evaluation summary
Score
Evaluator
Details Link
100.00%
Matches word count
(details)
99.76%
Dialogue to Total Word Ratio
(details)
99.8806%
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 peered through the hedge at the brightly decorated hall where balloons bobbed above a banner that read Happy Sixth Birthday, Emma. Music thumped and small children screamed with joy inside, while Bill unpacked their heist kit onto the damp grass with excessive seriousness. He produced three toy grappling hooks, a rubber chicken, and a net intended for catching butterflies. Molly sighed, wondering why she had agreed to profit from a children's party instead of robbing a bank like sensible criminals. Bill said, "Right, Operation Present Snatch is a go. We wait until the cake arrives, then we strike." Molly said, "You named it Operation Present Snatch?" Bill nodded gravely and drew a plan in the dirt with a stick. His genius scheme involved entering through the kitchen, disguising themselves as clowns, and wheeling the presents away on a shopping trolley decorated with tinsel. Molly imagined the trolley squeaking across the lawn while parents applauded politely, mistaking their escape for entertainment. Molly said, "Bill, we cannot steal presents from six-year-olds. We will look ridiculous." Bill said, "Ridiculous is our camouflage. Nobody suspects the ridiculous." She pulled a bright red clown nose from her pocket and considered abandoning the plan altogether. Inside, a magician attempted a card trick while children demanded more cake and threatened to tell their teacher. Bill tested the rubber chicken, which squeaked loudly and immediately attracted a suspicious toddler who pointed directly at them through the window. Bill whispered, "Perfect. The toddler is our lookout. She has already spotted us." Molly whispered, "Bill, that toddler is wearing a princess dress and holding juice." Bill whispered, "Even better. She will not be believed." Molly checked her watch and realized the party would end in twenty minutes, leaving little time for elaborate disguises. Bill inflated a swimming ring and placed it around his waist, declaring it a life-saving device for the great present heist. She grabbed a cardboard box labeled donations and decided, with enormous reluctance, to assist him anyway. Molly said, "Fine. We take the presents, but we leave the cake. I have standards." Bill said, "Agreed. Cake is evidence. Nobody eats evidence." Molly said, "Excellent logic. Let us commit a crime with extremely poor planning." Molly said, "If we get caught, you are explaining this to the birthday girl." Bill said, "I will tell her we borrowed the presents for a museum exhibition for strictly educational purposes." Molly said, "She is six, Bill. She will demand a return visit immediately." Bill said, "And we will bring balloons as compensation for our trouble." They stood, adjusted their clown noses, lifted the trolley, and marched toward the hall with the desperate confidence of professionals. Molly knocked, the door opened, and a chorus of children cheered loudly. She smiled grimly, prepared for chaos, cake, and presents, while Bill squeezed the rubber chicken once more for luck. Meanwhile the magician dropped his cards everywhere and the toddler continued pointing accusingly at their disguises. Nobody suspected a thing, which was entirely miraculous.
created_at
"2026-11-11T11:25:41.57Z"
11/11/2026, 11:25:41 AM
model
"meta/muse-ember-20261109"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
969
moderation_latency
(null)
generation_time
9227
tokens_prompt
75
tokens_completion
958
native_tokens_prompt
69
native_tokens_completion
5693
native_tokens_completion_images
0
native_tokens_reasoning
4912
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
0.0028534
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.22.2; linux; x64))"
http_referer
(null)
request_id
"req-1794396341-z5P23JK2Ki3qhk1Fkv5f"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1794396341-3ZiIdWmYUisKdPabqnmm"
upstream_id
"resp_6af450b555f665419e354b98"
provider_responses
0
endpoint_id
"ea8469c2-ddf8-4985-8cf2-f5dc7e63e14c"
id
"resp_6af450b555f665419e354b98"
is_byok
false
latency
328
model_permaslug
"meta/muse-ember-20261109"
provider_name
"Meta"
status
200
total_cost
0.0028534
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
99.76%
Dialogue to Total Word Ratio
Ratio: 30.22%, Deviation: 0.22%
neededClean
false
wordsTotal
503
wordsDialogue
152
99.8806%