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Run: 2026-11-11-01M754D68F9DEXTGD4E61K7ASV
Run Details
Model:
Muse Ember (Reasoning, Max)
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
12.8s
Cost:
$0.003627
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 50% 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 and Bill crouched behind the hedge watching the party. "Simple plan, Molly. We stroll in and grab the presents." Balloons swayed above tables covered with cake and juice boxes. "And nobody will notice two adults in bright party hats?" Children screamed happily while parents filmed everything with phones nearby. "Exactly. We smile, sing along, then quietly pocket the loot." A tower of brightly wrapped presents sat beside the door. "That bicycle is worth a fortune on the online market." Bill opened his backpack and revealed rope and gloves inside. "I brought my bag, rope, gloves, and a fake moustache." Molly stared at the moustache and raised one eyebrow slowly. "A moustache? Bill, this is a party, not a bank." Bill fixed the moustache above his lip with great concentration. "Disguise helps. Nobody questions a friendly man with facial hair." A clown arrived carrying torches and a tiny rubber chicken. "The clown juggles flaming torches beside the Jungle Gym thing." The cake candles flickered as the children sang together loudly. "Perfect chaos. We strike during the big cake cutting ceremony." Bill nodded toward the presents and waited for the signal. "Then we run. You carry cake. I carry the present."
created_at
"2026-11-11T11:03:06.772Z"
11/11/2026, 11:03:06 AM
model
"meta/muse-ember-20261109"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1503
moderation_latency
(null)
generation_time
12802
tokens_prompt
75
tokens_completion
516
native_tokens_prompt
69
native_tokens_completion
7240
native_tokens_completion_images
0
native_tokens_reasoning
6795
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
0.0036269
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.22.2; linux; x64))"
http_referer
(null)
request_id
"req-1794394986-91YVtZBjY6WMmFn1uyb2"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1794394986-x5qwrmO1fgcl9tt3NNTF"
upstream_id
"resp_6af44b6bfbf48a0b31004f55"
provider_responses
0
endpoint_id
"ea8469c2-ddf8-4985-8cf2-f5dc7e63e14c"
id
"resp_6af44b6bfbf48a0b31004f55"
is_byok
false
latency
611
model_permaslug
"meta/muse-ember-20261109"
provider_name
"Meta"
status
200
total_cost
0.0036269
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: 50.00%, Deviation: 0.00%
neededClean
false
wordsTotal
200
wordsDialogue
100
100.0000%