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Run: 2026-11-11-01M753ANGXNGTRKZ15SSYPMVY5
Run Details
Model:
Muse Ember (Reasoning, Max)
Test:
Dialogue tags
Scenario:
Write 200 words with 10% dialogue
Duration:
8.1s
Cost:
$0.002248
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 10% 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 tiny black mask while Bill practiced a fake mustache. Their getaway van smelled of old fries, glue sticks, and questionable ambition on a Tuesday afternoon. Outside Sunny Meadows Community Hall, balloons bobbed like cheerful spies guarding a mountain of wrapped presents. Inside, children screamed, ate cake, played musical chairs, and completely ignored the emergency exits. Molly whispered, "We are definitely not the entertainment." Bill replied, "What about the clown with the balloon animals?" Molly said, "We distract them, obviously." Bill said, "Great plan." Bill nodded and unfolded a crayon map drawn on a napkin stolen from breakfast. The map marked cake, punch bowl, gift table, and the bouncy castle as entry point number one. Molly would enter wearing a tutu, Bill would distract everyone by juggling rubber chickens. Then they would tiptoe past the snack table, sweep every present into a sack, and escape through the kitchen. No alarm would trigger because the security guard was busy chasing a runaway toddler with a juice box. They high fived quietly, adjusted their masks, and promised each other absolutely no giggling during the operation. Outside, the party music thumped loudly, unaware that complete chaos was arriving very shortly indeed.
created_at
"2026-11-11T10:44:15.749Z"
11/11/2026, 10:44:15 AM
model
"meta/muse-ember-20261109"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1332
moderation_latency
(null)
generation_time
7796
tokens_prompt
75
tokens_completion
439
native_tokens_prompt
69
native_tokens_completion
4483
native_tokens_completion_images
0
native_tokens_reasoning
4115
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
0.0022484
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.22.2; linux; x64))"
http_referer
(null)
request_id
"req-1794393855-tfEQrxkiUtAlKr1gGaqT"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1794393855-zM40w8flTYQbnn2v60Ay"
upstream_id
"resp_6af44700a1b4f3cb9f544b6b"
provider_responses
0
endpoint_id
"ea8469c2-ddf8-4985-8cf2-f5dc7e63e14c"
id
"resp_6af44700a1b4f3cb9f544b6b"
is_byok
false
latency
623
model_permaslug
"meta/muse-ember-20261109"
provider_name
"Meta"
status
200
total_cost
0.0022484
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: 10.00%, Deviation: 0.00%
neededClean
false
wordsTotal
200
wordsDialogue
20
100.0000%