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Run: 2026-11-11-01M754RVSVSF3VDJFC6X1SPECQ
Run Details
Model:
Muse Ember (Reasoning, Max)
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
5.6s
Cost:
$0.001707
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 200 word scene that has 90% 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 blueprints across the sticky table while Bill bounced a stolen balloon nearby. "Okay, the target is Timmy's seventh birthday party tomorrow at two, and the loot is stacked by the door under a banner that says presents, and I counted at least twenty boxes wrapped in dinosaurs and princesses, which means we retire rich from cake thieving." Molly said. "Great, I will distract the parents by juggling juice boxes while you grab the biggest gift, and then we sprint to the van before anyone notices the pile shrinking behind the pinata shaped like a shark. Simple, silly, and totally foolproof, partner, trust my genius." Bill said. "Your juggling failed last time at the library, and you dropped three books and cried louder than the toddler we were robbing, so maybe this time wear gloves and practice with actual juice boxes tonight because I refuse to return to that hideous clown's minivan." Molly said. "Fine, I will practice, but you dress as the mascot, sneak past the bouncy castle, and carry the biggest present without squawking like a chicken in a tutu, okay? Timmy loves chickens, hates tutus, and always leaves his valuable presents near the front door unguarded."
created_at
"2026-11-11T11:09:29.282Z"
11/11/2026, 11:09:29 AM
model
"meta/muse-ember-20261109"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1601
moderation_latency
(null)
generation_time
5574
tokens_prompt
75
tokens_completion
314
native_tokens_prompt
69
native_tokens_completion
3400
native_tokens_completion_images
0
native_tokens_reasoning
3120
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
0.0017069
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.22.2; linux; x64))"
http_referer
(null)
request_id
"req-1794395369-wK1j2y6FjUO7WZZeQM7b"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1794395369-yohrTK5lcoD0dxf2hJ0A"
upstream_id
"resp_6af44ce985adbda9e27d4fd6"
provider_responses
0
endpoint_id
"ea8469c2-ddf8-4985-8cf2-f5dc7e63e14c"
id
"resp_6af44ce985adbda9e27d4fd6"
is_byok
false
latency
707
model_permaslug
"meta/muse-ember-20261109"
provider_name
"Meta"
status
200
total_cost
0.0017069
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
200
100.00%
Dialogue to Total Word Ratio
Ratio: 90.00%, Deviation: 0.00%
neededClean
false
wordsTotal
200
wordsDialogue
180
100.0000%