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Run: 2026-11-11-01M755AJ50J3FA2V2AVDRSWGTD
Run Details
Model:
Muse Ember (Reasoning, Max)
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
10.6s
Cost:
$0.002448
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 adjusted her mask outside the brightly decorated community hall while Bill nervously checked his watch. "We are definitely not the entertainment," Molly said. Bill replied, "Then why are we wearing clown noses and rainbow wigs?" A bouncy castle loomed nearby like a tamed dragon. Molly whispered, "The plan is simple, Bill." "We walk in, we sing badly, and nobody questions the backup dancers." "And when the presents appear?" Bill pointed toward a table sagging beneath glittering boxes, balloons, and one enormous suspiciously lumpy teddy bear. "We grab them all, obviously." She produced a laundry basket disguised with ribbons and a sign reading Totally Normal Birthday Trash. "That sign says trash, Molly." "Exactly. No parent investigates trash." A party clown juggled flaming torches beside them, unaware that Molly and Bill were silently practicing innocent smiles. "What about the bouncy castle guard?" "He is six. We can bribe him with cake." Bill nodded solemnly, as if negotiating with a tiny mafia boss in dinosaur pajamas. Bill grinned quite widely. "On my mark, we march straight toward cake." "And if anyone asks, we are the entertainment." "Perfect. Let us become legends of children parties." "Ready, Bill? Let us steal absolutely everything today."
created_at
"2026-11-11T11:19:09.223Z"
11/11/2026, 11:19:09 AM
model
"meta/muse-ember-20261109"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
4047
moderation_latency
(null)
generation_time
10276
tokens_prompt
75
tokens_completion
335
native_tokens_prompt
69
native_tokens_completion
4882
native_tokens_completion_images
0
native_tokens_reasoning
4580
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
0.0024479
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.22.2; linux; x64))"
http_referer
(null)
request_id
"req-1794395949-gxL8InnEIQzHlpdoEakh"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1794395949-nZIz8VrRNjYk1XpIVPD9"
upstream_id
"resp_6af44f30d70ff179c8854b0c"
provider_responses
0
endpoint_id
"ea8469c2-ddf8-4985-8cf2-f5dc7e63e14c"
id
"resp_6af44f30d70ff179c8854b0c"
is_byok
false
latency
3517
model_permaslug
"meta/muse-ember-20261109"
provider_name
"Meta"
status
200
total_cost
0.0024479
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%