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Run: 2026-11-11-01M754B1PB6J3R81GW5WH5BBNF
Run Details
Model:
Muse Ember (Reasoning, Max)
Test:
Dialogue tags
Scenario:
Write 500 words with 70% dialogue
Duration:
10.5s
Cost:
$0.003562
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 70% 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
The kitchen clock ticked loudly while two thieves studied a crayon drawing of the party house with great intensity. Molly said, "We are going to break into the kids party at noon tomorrow and steal every wrapped present in the room." Bill said, "That plan sounds reckless and stupid and absolutely perfect for two professionals like us on a Tuesday." Molly pointed at the garden gate with a wooden spoon and Bill pretended to understand the complicated strategy completely. Molly said, "I have already mapped the escape route through the garden gate and past the clown and the angry birthday mom." Bill said, "She will be far too busy filming the pinata bash to notice two quiet adults crawling toward the cake table." A rubber duck sat on the table between them and watched the entire planning session with silent professional judgment. Molly said, "We need a distraction that is loud and sweet and maybe sticky enough to glue the parents to their phones." Bill said, "I will dress as a normal adult and announce that the ice cream truck has arrived with free rocket pops for everyone." Bill adjusted his fake mustache and Molly tried not to laugh because serious criminals never laugh at mustache adjustments. Molly said, "You look like a mime who lost a fight with a washing machine and that will draw zero suspicion from anyone there." Bill said, "Thank you for the compliment because style is clearly our greatest weapon during this daring and dangerous mission." Outside the window a neighbor practiced the trumpet badly and provided dramatic background music for their evil little scheme. Molly said, "We will hide the presents inside a giant teddy bear costume and waddle out like a very guilty mascot." Bill said, "The kids will think we are just there for cake and hugs and not for their shiny new toy trains at all." By sunset they had memorized every detail about balloons and candles and one extremely suspicious chocolate cake in town. Molly said, "If anyone asks questions we can claim we are the surprise entertainment and we perform an interpretive dance about soup." Bill said, "Soup is a powerful topic and it deserves respect and maybe a little jazz hands for dramatic effect on stage." Molly said, "We must move quickly because the birthday boy keeps asking for his presents and his mother keeps asking for help." Bill said, "We can bribe him with one present and tell him it is a magic present that grants unlimited juice boxes forever." Molly said, "That is brilliant and evil and also generous because juice boxes are the true currency of every playground in town." Bill said, "Then we flee in your car while the clown chases us on a tiny unicycle and screams about cake in despair." Molly said, "Perfect Molly and Bill will finally retire rich on stolen blocks and bubble guns and socks shaped like dinosaurs." Bill said, "Let us go become legends my friend today forever."
created_at
"2026-11-11T11:01:56.566Z"
11/11/2026, 11:01:56 AM
model
"meta/muse-ember-20261109"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1758
moderation_latency
(null)
generation_time
10491
tokens_prompt
75
tokens_completion
793
native_tokens_prompt
69
native_tokens_completion
7110
native_tokens_completion_images
0
native_tokens_reasoning
6475
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
0.0035619
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.22.2; linux; x64))"
http_referer
(null)
request_id
"req-1794394916-7UtXdUk0igIx5nsSAbKv"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1794394916-b9posFMY9IbtSdqBtnRZ"
upstream_id
"resp_6af44b24733f6fd3888f4873"
provider_responses
0
endpoint_id
"ea8469c2-ddf8-4985-8cf2-f5dc7e63e14c"
id
"resp_6af44b24733f6fd3888f4873"
is_byok
false
latency
791
model_permaslug
"meta/muse-ember-20261109"
provider_name
"Meta"
status
200
total_cost
0.0035619
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: 70.00%, Deviation: 0.00%
neededClean
false
wordsTotal
500
wordsDialogue
350
100.0000%