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Run: 2026-11-11-01M754J1912AMRBAZVF730Y2X9
Run Details
Model:
Muse Ember (Reasoning, Max)
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
17.8s
Cost:
$0.005326
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 ski mask and Bill tangled his net around both shoes again for the third time that morning. "Bill, are you absolutely sure that ridiculous birthday party starts at exactly three pm and presents are already waiting outside?" Molly pointed toward the backyard where balloons bounced, children screamed, and a magician balanced seven plates on one trembling stick. "I promised my parole officer no kids parties until next spring, so this whole job feels extremely risky today indeed." Bill produced two paper crowns from his coat, placed one on his ski mask, and nodded like a tiny king. "Perfect disguise, because nobody will suspect two thieves wearing silly crowns and carrying very expensive nets at this wild party." Molly counted the presents stacked near the cake: a telescope, a dinosaur, and something wrapped in expensive purple paper today. "Then we grab everything while they sing Happy Birthday and chase the magician around the bouncy castle with great speed." Molly slipped a paper crown over her mask, tested her net, and whispered the plan one final time very softly. "Bill, on three we vanish like shadows, unless somebody offers cake, because cake ruins my professional focus every single time."
created_at
"2026-11-11T11:05:45.511Z"
11/11/2026, 11:05:45 AM
model
"meta/muse-ember-20261109"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
985
moderation_latency
(null)
generation_time
17737
tokens_prompt
75
tokens_completion
327
native_tokens_prompt
69
native_tokens_completion
10639
native_tokens_completion_images
0
native_tokens_reasoning
10372
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
0.0053264
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.22.2; linux; x64))"
http_referer
(null)
request_id
"req-1794395145-aQOUopYqjz7hjvba70Hv"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1794395145-lNZxMG5YdGf5JiiEsFh8"
upstream_id
"resp_6af44c090f3799721db840ff"
provider_responses
0
endpoint_id
"ea8469c2-ddf8-4985-8cf2-f5dc7e63e14c"
id
"resp_6af44c090f3799721db840ff"
is_byok
false
latency
676
model_permaslug
"meta/muse-ember-20261109"
provider_name
"Meta"
status
200
total_cost
0.0053264
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%